Literature DB >> 29588920

Optimisation of ex vivo memory B cell expansion/differentiation for interrogation of rare peripheral memory B cell subset responses.

Luke Muir1, Paul F McKay1, Velislava N Petrova2, Oleksiy V Klymenko3, Sven Kratochvil1, Christopher L Pinder1, Paul Kellam1,2,4, Robin J Shattock1.   

Abstract

Background: Human memory B cells play a vital role in the long-term protection of the host from pathogenic re-challenge. In recent years the importance of a number of different memory B cell subsets that can be formed in response to vaccination or infection has started to become clear. To study memory B cell responses, cells can be cultured ex vivo, allowing for an increase in cell number and activation of these quiescent cells, providing sufficient quantities of each memory subset to enable full investigation of functionality. However, despite numerous papers being published demonstrating bulk memory B cell culture, we could find no literature on optimised conditions for the study of memory B cell subsets, such as IgM + memory B cells.
Methods: Following a literature review, we carried out a large screen of memory B cell expansion conditions to identify the combination that induced the highest levels of memory B cell expansion. We subsequently used a novel Design of Experiments approach to finely tune the optimal memory B cell expansion and differentiation conditions for human memory B cell subsets. Finally, we characterised the resultant memory B cell subpopulations by IgH sequencing and flow cytometry.
Results: The application of specific optimised conditions induce multiple rounds of memory B cell proliferation equally across Ig isotypes, differentiation of memory B cells to antibody secreting cells, and importantly do not alter the Ig genotype of the stimulated cells.  Conclusions: Overall, our data identify a memory B cell culture system that offers a robust platform for investigating the functionality of rare memory B cell subsets to infection and/or vaccination.

Entities:  

Keywords:  Design of Experiments; Ex vivo expansion/differentiation; Human; Memory B cell subsets; Vaccination

Year:  2017        PMID: 29588920      PMCID: PMC5843844          DOI: 10.12688/wellcomeopenres.11386.2

Source DB:  PubMed          Journal:  Wellcome Open Res        ISSN: 2398-502X


Introduction

The B cell response plays a vital role in the defence against a variety of pathogens encountered throughout life. B cell responses are commonly categorised into two distinct subgroups known as “T cell-dependent” and “T cell-independent” responses. In T cell-dependent B cell responses, B cells are typically activated through recognition of their cognate antigen combined with cytokine and CD40 stimulation in the form of “T cell help” in the secondary or tertiary lymphoid tissues. Upon activation there are a number of differentiation pathways available to these B cells, with the three major options being: 1) to become short lived plasma cells, capable of secreting antibody in response to initial infection; or undergo clonal expansion, somatic hypermutation (SHM) and class switch recombination (CSR) in the germinal centre to subsequently become either 2) long-lived plasma cells, which home to the bone marrow, or 3) long-lived memory B cells [1– 4]. Human memory B cells were originally isolated based on their lack of IgD expression, which had been identified as a naïve B cell marker [5, 6]. Subsequent to this, two papers identified CD27 as a general marker of B cell memory [7, 8]. This newly identified memory B cell marker allowed for a more refined study of the bulk memory B cell population. However, the CD27 + population is heterogeneous and is comprised of roughly 10–20% IgM + IgD +, 40–50% IgM + IgD - and 30–40% IgM - IgD - isotype switched cells. The existence of IgM + CD27 + cells as T cell-dependent memory B cells has been hotly debated [9]. Nonetheless these IgM + memory B cells do show classical memory cell hallmarks, such as somatically hypermutated V genes [8, 10], and a recent in depth study of this population has shown that they participate in T cell-dependent recall responses and show similar transcriptome patterns to the IgM - IgD - CD27 + population [11]. Therefore, to gain a more complete understanding of the memory B cell response, it will be important to delineate the functionality of these T cell-dependent memory B cell subsets. Memory B cells are central players of long-term humoral immunity, capable of responding rapidly and with high affinity to secondary encounter with an antigen. Successful vaccination readily induces long-lived B cell memory that is maintained for decades [12, 13]. Recent observations have shown that vaccination or infection does not, however, produce a homogenous population of memory B cells, but a constellation of subsets depending on the kinetic time point, location, and type of vaccination or infection [14, 15]. The frequency of memory B cell subsets is variable, with some subsets such as immunoglobulin (Ig)D + IgM - CD27 + memory B cells forming only 1–3% of peripheral blood B cells [14], and this number could be even smaller when looking at vaccine induced antigen specific responses. Despite their rarity, such subsets could play an important role in the immune response to infection and/or vaccination. For instance, IgM + memory B cells have recently been shown to play an important role in the early response to malaria re-challenge using a murine model [16], whilst human IgM + memory B cells have been shown to play a role in decreasing Rotavirus viral load [17]. A number of different assays have been developed to facilitate the investigation of the memory B cell repertoire in response to vaccination or infection. The use of fluorophore-tagged antigen to identify antigen-specific memory B cells has been attempted with some success [18– 20]. However, optimisation of antigen-specific B cell staining is a complex process and carries a number of potential pitfalls. Three of the major issues with antigen-specific staining are the scarcity of the cells, the low levels of surface Ig expression and the need for a highly purified antigen, which can make identification of antigen specific B cells difficult [21]. In an effort to avoid these issues, Epstein-Barr virus immortalisation of memory B cells followed by screening of cell culture supernatant for antigen reactivity has been performed. This technique, however, has its own limitations, such as immortalisation biases and low immortalisation efficiency [22, 23]. A more recent transformation based approach utilises a retroviral transduction system to induce expression of the antiapoptotic factors Bcl-6 and Bcl-xL, which, when combined with IL-21 and CD154 allows memory B cells to differentiate into long lived antibody secreting cells (ASCs) that still retain surface BCR expression [24, 25]. Ex vivo expansion and differentiation of memory B cells into ASCs is an alternative technique that has now been widely adopted in the field, owing to its simplicity and versatility. This technique allows a variety of different functional assays to be undertaken allowing for a more complete interrogation of the memory B cell repertoire. ELISA and ELISpot assays can quantify antigen-specific Ig and define the Ig isotype secreted by the expanded memory B cells, viral neutralisation assays assess the functionality of the antibody, and bio-layer interferometry permits measurement of the antibody binding kinetics. For example, ex vivo memory B cell expansion has been recently used to identify an extremely potent HIV-1 broadly neutralising antibody named N6, which could not be identified through flow cytometry based approaches [26]. Overall these downstream assays can be applied to answer a number of important biological questions. For example, investigating the magnitude of the memory B cell subset response to vaccination or infection, the reactivity of the recall response between different memory B cell subsets and mapping the specificity of the response and how this evolves between different memory B cell subsets [26]. To date, a plethora of different conditions capable of inducing memory B cell expansion/differentiation have been published. Combinations of cytokines, such as IL-2, IL-10, IL-21 [27– 33], pattern recognition receptor agonists such as R848, CpG ODN 2006 [28, 30, 34] and CD40 stimulation [35], form the basis of most published conditions. In 2009, Pinna et al. [30] published one of the most widely utilised methodologies owing to its simplicity and robust expansion capability. This methodology consisted of the addition of IL-2 and R848 to isolated B cells, with irradiated peripheral blood mononuclear cells (PBMCs) acting as the CD154 (CD40-ligand) source. However, despite detailed analysis of the origins of memory B cell subsets [36] and optimisation of ex vivo memory B cell culture conditions for the investigation of the IgG + response [37], no conditions to date have been investigated for their ability to induce maximal and proportional memory B cell expansion/differentiation across the CD27 + IgM - IgD -, IgM + IgD + and IgM + IgD - subsets. Defining such conditions will be important in allowing a comprehensive assessment of how the memory B cell response evolves between these subsets across time in response to infection and/or vaccination. Identification of these conditions will also have implications for the study of rare polyreactive memory B cells which are difficult to fully investigate using conventional fluorophore tagged antigen approaches. By inducing expansion and differentiation of single memory B cells, including the IgM + subsets, the culture supernatants could easily be screened for reactivity to multiple antigens. In this study, we screened a wide variety of published memory B cell expansion stimuli and then utilised a Design of Experiments (DoE) approach to identify the optimal combination across different CD27 + memory B cell subsets. The expansion and differentiation of memory B cells to ASCs was then tracked via flow cytometry and IgH deep sequencing.

Methods

PBMC and memory B cell isolation

Written informed consent was obtained from all 10 donors. All samples were collected under protocols approved by the Imperial College NHS Trust Tissue Bank and the National Research Ethics Committee in accordance with the Human Tissue Act 2004. Approval for this project was granted by the Imperial College Healthcare Tissue Bank, under their HTA research licence, and ethics thus conveyed through this process by the Multi Research Ethics Committee (MREC), Wales. PBMCs were isolated by centrifugation (400 × g, 30 min, no brake) over Histopaque-1077 (Sigma Aldrich, Dorset, UK). CD27 + memory B cells were then isolated using the Memory B Cell Isolation Kit (Miltenyi Biotec, Surrey, UK) following the manufacturer’s instructions. Due to the rarity of some subsets the same donors could not be used throughout the whole study. Therefore, memory B cells were isolated from 10 different donors and replicates from 1–3 donors used per individual experiment. This meant that inter donor variability was measured throughout each experiment but not between different experiments. However, it should be noted that all isolated memory B cells and subsets from all donors were well within the expected normal range.

Literature review

In order to identify stimuli associated with current memory B cell culture protocols, a literature review was carried out using the following search terms: memory B cell ELISpot, memory B cell culture, memory B cell stimulation, memory B cell differentiation and memory B cell expansion using the NCBI PubMed database ( https://www.ncbi.nlm.nih.gov/pubmed). The results of this literature review can be seen in Table 1.
Table 1.

Expansion stimuli including the concentrations used in both the original screening process and the Design of Experiments (DoE) process.

Concentrations were chosen to reflect those shown in the literature. APRIL concentrations were chosen to mirror that of BAFF, as APRIL has not been previously published as a stimulus for inducing memory B cell differentiation.

Expansion factorOriginal screen concentrationsReferenceDoE concentrationsTarget
IL-2100, 500, 1000 U/ml 30, 32 N/AIL-2R
IL-610, 50, 100 ng/ml 31, 32 N/AIL-6R
IL-1510, 50, 100 ng/ml 32, 38, 39 N/AIL-15R
IL-2110, 50, 100 ng/ml 28, 31 10, 50, 100 ng/mlIL-21R
BAFF10, 50, 100 ng/ml 27, 38 N/ABAFF-R, BCMA, TACI
APRIL10, 50, 100 ng/ml 32 N/ATACI, BCMA
CpG ODN 2006 0.5, 2.5, 10 μg/ml 12, 28, 34, 40 0, 0.25, 1 (g/mlTLR9
PWM5, 50, 100 ng/ml 28, 34, 41 N/ATLR2 or indirectly via T cells
R8480.5, 1, 5 μg/ml 30, 42 0, 0.25, 0.5 (g/mlTLR7/TLR8
HV13280 cellsUtilised at a ratio of 1:4 with memory B cells1:5, 1:2, 1:1CD40

Expansion stimuli including the concentrations used in both the original screening process and the Design of Experiments (DoE) process.

Concentrations were chosen to reflect those shown in the literature. APRIL concentrations were chosen to mirror that of BAFF, as APRIL has not been previously published as a stimulus for inducing memory B cell differentiation.

Cell culture and stimulation conditions

RPMI-1640 media (Sigma Aldrich) supplemented with L-glutamine, Penicillin/Streptomycin and 10% fetal bovine serum (FBS) (Sigma Aldrich) was used throughout the study. Isolated memory B cells were set at different cell densities in 96-well U-bottom plates (2×10 3 cells/well in 250 μl) or in 24-well flat bottom plates (1×10 6 cells/well in 1 ml). Small-scale expansions were used for sequencing and Ig quantification, large-scale expansions were used for phenotyping of expanding cells by flow cytometry. Before adding memory B cells, each well was seeded with irradiated (2,000 cGray) HV13280 feeder cells (CD154 + HEK-293T cells, kindly provided by L. Liao’s lab, Duke University, Durham, NC, USA) at ratios varying from 1:1 to 1:50 (HV13280:memory B cell). After the addition of memory B cells, cultures were stimulated with iterative combinations of the following stimuli: recombinant human interleukin (IL)-2 (100–1000 U/ml), IL-6 (10–100 ng/ml), IL-15 (10–100 ng/ml), IL-21 (10–100 ng/ml), APRIL (10–100 ng/ml), BAFF (10–100 ng/ml), CpG ODN 2006 (0.25–10 μg/ml) (HyCult Biotech, Uden, Netherlands); R848 (0.25–5 μg/ml; Invivogen, Toulouse, France); PWM (5–100 ng/ml; Sigma Aldrich). Cells were then cultured for 5 or 10 days at 37°C 5% CO 2. All recombinant proteins were ordered from Peprotech (London, UK) unless otherwise stated.

ELISA

Total IgG, IgA and IgM in culture supernatants were measured by ELISA. Nunc MaxiSorp 96 well plates were coated overnight at 4°C with 100 μl goat anti-human kappa/lambda (Southern Biotech, Cambridge, UK; product number: 2060-01/2070-01) diluted 1:500 in PBS. Plates were washed with PBS/0.05% Tween-20 and blocked with 200 μl PBS/0.05% Tween-20/1% bovine serum albumin (BSA) (Sigma Aldrich) for 1 hour at 37°C. Plates were then washed and 50 μl of culture supernatant diluted in blocking buffer added to each well and incubated for 1 hour at 37°C. Following incubation and washing, 100 μl of detection antibody diluted in blocking buffer was added: goat anti-human peroxidase IgG (1:20,000), IgA (1:10,000), and IgM (1:1,000) (Sigma Aldrich; product numbers: A0170, A0295, and A6907, respectively). Plates were washed and developed using TMB (KPL, Middlesex, UK), stopped using 1% HCl stopping solution (KPL) and read using the VersaMax microplate reader (Molecular Devices, Berkshire, UK).

Flow cytometry and cell sorting

Memory B cells were stained with 5 μM Cell Trace Violet (ThermoFisher Scientific, Paisley, UK) as directed in the datasheet, and incubated overnight at 37°C 5% CO 2. The cells were then washed and cultured using the optimal DoE conditions. For flow cytometry experiments cells were then stained with Aqua Live/Dead cell viability dye (BD Biosciences, Oxford, UK) as per manufacturer’s instruction. Cells were then stained with the phenotyping panel shown in Table 2. The cells were analysed using an LSR Fortessa II cytometer (BD Biosciences) at baseline, day 5 and day 10 of culture. The gating strategy used can be seen in Supplementary Figure 1. Purity of CD27 + memory B cells following isolation by magnetic selection was also determined using this panel. For FACS, memory B cells were sorted based upon IgD and IgM expression into 4 sub-populations (IgD + IgM -, IgD + IgM +, IgD - IgM +, IgD - IgM -) as shown in Supplementary Figure 1. Cell sorting was carried out using a BD FACSAria III.
Table 2.

B cell phenotyping flow cytometry panel.

Volumes shown represent the staining volumes used, topped up to 100 μl with FACS buffer (1×PBS, 25mM Hepes [Sigma Aldrich], 1mM EDTA [Sigma Aldrich], 2.5% FBS), per 1×10 6 cells. Volumes used were titrated in-house.

MarkerFluorophoreChannelSupplierCloneIsotypeVolume
CD3V500405-525/50BD: 561416UCHT1Mouse IgG1 κ1.25μl
CD4V500405-525/50BD: 560768RPA-T4Mouse IgG1 κ1.25μl
CD14V500405-525/50BD: 561391M5E2Mouse IgG2a κ2.5μl
CD19BV605405-605/12Biolegend (London, UK): 363024SJ25C1Mouse IgG1 κ1.25μl
CD27PE Cy7561-780/60Biolegend: 356412M-T271Mouse IgG1 κ2.5μl
CD38APC640-670/14Biolegend: 356606HB-7Mouse IgG10.6μl
CXCR4PE561-582/15Biolegend: 30650612G5Mouse IgG2a κ0.6μl
IgMFITC488-530/30Biolegend: 314506MHM-88Mouse IgG1 κ1.25μl
IgDPE-CF594561-610/20BD: 562540IA6-2Mouse IgG2a κ1.25μl
IgGAPC-H7640-780/60BD: 561297G18-145Mouse IgG1 κ1.25μl

B cell phenotyping flow cytometry panel.

Volumes shown represent the staining volumes used, topped up to 100 μl with FACS buffer (1×PBS, 25mM Hepes [Sigma Aldrich], 1mM EDTA [Sigma Aldrich], 2.5% FBS), per 1×10 6 cells. Volumes used were titrated in-house.

Library preparation for next generation sequencing

Following cell sorting, the four memory B cell subsets were cultured using the optimal DoE expansion conditions with cells removed and IgH sequencing carried out at baseline, day 5 and 10 of culture. RNA extraction was performed using RNeasy Micro Kit (Qiagen, Manchester, UK) according to manufacturer’s protocol. Reverse transcription (RT) was run as a 20 μl reaction with SuperScript® III (Thermo Fisher, Loughborough, UK). cDNA was cleaned-up with Agencourt AMPure XP beads (Beckman Coulter, Buckinghamshire, UK). Reagents for each RT step were divided in two mixes: Mix1 (RNA template, barcoded multiplex Constant region primer set [10 μM each primer], nuclease-free water) was incubated for 1 min at 70°C and then immediately transferred on ice for 1 min; Mix2 (4 μl 5x FS buffer, 1 μl DTT [0.1 M], 1 μl dNTP [10mM], 1 μl SuperscriptIII) was added and incubated at 50°C for 60 min followed by inactivation at 70°C for 15 min. Cleaned cDNA was amplified with V-gene multiplex primer mix (10 μM each forward primer) and 3’ universal reverse primer (10 μM) using KAPA Real-Time Library Amplification Kit (KAPA Biosystems, Wilmington, MA, USA) under the following thermal cycling conditions: 1 step (95°C - 5 min); 5 cycles (98°C - 5 sec; 72°C - 2 min); 5 cycles (65°C - 10 sec, 72°C - 2 min); 25 cycles (98°C - 20sec, 60°C - 1 min, 72°C - 2 min); 1 step (72°C - 10 min). Nucleotide sequences for primers can be seen in Table 3.
Table 3.

Primer sequences.

Primer NamePrimer SequenceIgH Binding Region
IGHATGTCCAGCACGCTTCAGGCTNNNNTNNNNTNNNNGAYGACCACGTTCCCATCTC region
IGHMTGTCCAGCACGCTTCAGGCTNNNNTNNNNTNNNNTCGTATCCGACGGGGAATTCC region
IGHDTGTCCAGCACGCTTCAGGCTNNNNTNNNNTNNNNGGGCTGTTATCCTTTGGGTGC region
IGHETGTCCAGCACGCTTCAGGCTNNNNTNNNNTNNNNAGAGTCACGGAGGTGGCATTC region
IGHGTGTCCAGCACGCTTCAGGCTNNNNTNNNNTNNNNAGTAGTCCTTGACCAGGCAGC region
VH1-FR1GGCCTCAGTGAAGGTCTCCTGCAAGV region
VH2-FR1GTCTGGTCCTACGCTGGTGAAACCCV region
VH3-FR1CTGGGGGGTCCCTGAGACTCTCCTGV region
VH4-FR1CTTCGGAGACCCTGTCCCTCACCTGV region
VH5-FR1CGGGGAGTCTCTGAACATCTCCTGTV region
VH6-FR1TCGCAGACCCTCTCACTCACCTGTGV region
3'universalTGUCCAGCACGCTUCAGGCn/a

Next generation sequencing and barcode filtering

MiSeq libraries were prepared using Illumina protocols and sequenced using 300bp paired-ended MiSeq (Illumina, Cambridge, UK). Raw MiSeq reads were filtered for base quality (median Phred score >34) using the QUASR program version 6.08 ( http://sourceforge.net/projects/quasr/ [43]) MiSeq forward and reverse reads were merged together if they contained identical overlapping region of >50bp, or otherwise discarded. Universal barcoded regions were identified in reads and orientated to read from V-primer → constant region primer. The barcoded region within each primer was identified and checked for conserved bases (i.e. the T’s in NNNNTNNNNTNNNNT). The reads were checked for homology to the first 50bp of the reference constant region genes from the IMGT database ( http://www.imgt.org/vquest/refseqh.html) [44] by k-mer matching (where k=10bp). The closest matching constant region allele was identified, and information retained throughout the analysis. Primers and constant regions were trimmed from each sequence, and sequences were retained only if there was >80% sequence certainty between all sequences obtained with the same barcode, otherwise discarded. Sequences without complete reading frames and non-immunoglobulin sequences were removed and only reads with significant similarity to reference IgHV and J genes from the IMGT database were retained using BLAST [45].

Analysis of VH SHM, CDRH3 length and isotype-distribution of BCR repertoires

Isotype information was derived from constant region assignment of each BCR read according to IMGT. Isotype structure of each sorted B cell population across the three time points (baseline, day 5 and day 10) was calculated as percentage of reads from a given sample, assigned to each isotype. SHM levels and CDRH3 length was determined using IMGT-HighV-Quest (version 1.5.0) ( https://www.imgt.org/HighV-QUEST/).

Design of experiments approach

For the DoE approach, we utilised a full factorial design where each of the four chosen stimuli (IL-21, HV13280 cells, CpG ODN 2006 and R848) would be tested for their effect on Ig secretion as measured by ELISA, at three different chosen concentrations, generating a total of 3 4 = 81 different possible conditions. The first order and second order sensitivity indices reflecting the effect of each stimuli on Ig secretion and the p-values (shown to 4 decimal places) were then determined using a custom MATLAB script based on the use of an N-way ANOVA (see Data availability).

Statistics

Statistical tests were performed in MATLAB (Version 2014; MathWorks, Natick, MA, USA) or in Prism (Version 7; GraphPad, San Diego, CA, USA). For the final comparison set, two-way analysis of variance (ANOVA) with Tukey’s post-hoc test was used for statistical analysis.

Results

Memory B cells isolated from PBMC are efficiently differentiated into high Ig secretory ASC by culture with optimal levels of IL-21, TLR and CD40 co-stimulation

In order to identify the conditions best suited for inducing memory B cell expansion and differentiation towards ASCs, a literature review of suggested culture conditions was carried out ( Table 1). Following identification of a wide range of conditions used for the induction of memory B cell differentiation, a checkerboard approach combining any two suggested factors with memory B cells and HV13280 cells (CD154 + feeder cell line) was set up. Each two-way crossover was carried out with factors at one of three chosen concentrations, these concentrations were chosen to be reflective of the publications that they were obtained from. All possible crossovers of the listed factors were carried out except for conditions combining two pattern recognition receptor (PRR) agonists, such as R848 and Pokeweed mitogen (PWM). CD40 stimulations were used for all checkerboard expansions as they were the one constant used throughout the published differentiation conditions and thus seen to be essential. After 5 days of culture, total Ig (IgG + IgA) in the culture supernatants was measured by ELISA. Ig in the supernatant acts as a readout for memory B cell differentiation as the memory B cells differentiate from being surface Ig-expressing cells to Ig-secreting cells. The results suggested that a combination of either IL-21 and CpG or IL-21 and R848 induced the highest levels of Ig secretion ( Figure 1A, Supplementary Figure 2). These results matched a previously published trend [28].
Figure 1.

CD40 stimulation in combination with IL-21 & TLR stimulation of memory B cells over a 10 day culture period induces high levels of Ig secretion.

( A) 2×10 3 memory B cells were cultured for 5 days with HV13280 cells at a ratio of 4:1 with the addition of a checkerboard of different stimulants suggested to play a role in memory B cell expansion/differentiation (see Table 1). Total Ig (IgG + IgA) was measured in the culture supernatant by ELISA and the top readout for each crossover is shown. The full checkerboard screen can be seen in Supplementary Figure 2. ( B and C) Total Ig (IgG + IgA) measured by ELISA in culture supernatant of memory B cells stimulated with HV13280 cells, IL-21, R848 and CpG at ( B) day 5 and ( C) day 10 of culture. ( D) Composition of the stimulation mixtures used in B & C. Data is representative of one donor.

CD40 stimulation in combination with IL-21 & TLR stimulation of memory B cells over a 10 day culture period induces high levels of Ig secretion.

( A) 2×10 3 memory B cells were cultured for 5 days with HV13280 cells at a ratio of 4:1 with the addition of a checkerboard of different stimulants suggested to play a role in memory B cell expansion/differentiation (see Table 1). Total Ig (IgG + IgA) was measured in the culture supernatant by ELISA and the top readout for each crossover is shown. The full checkerboard screen can be seen in Supplementary Figure 2. ( B and C) Total Ig (IgG + IgA) measured by ELISA in culture supernatant of memory B cells stimulated with HV13280 cells, IL-21, R848 and CpG at ( B) day 5 and ( C) day 10 of culture. ( D) Composition of the stimulation mixtures used in B & C. Data is representative of one donor. In an attempt to drive further differentiation and expansion, combinations of the CD40 stimulation, IL-21, R848 and CpG were assessed ( Figures 1B–D), with memory B cells cultured for 5 ( Figure 1B) or 10 days ( Figure 1C). For these expansions the R848 concentrations were lowered in an attempt to prevent over-stimulation when combining TLR agonists. This final screen identified that a 10-day culture period induced higher levels of memory B cell differentiation and that there was a trend for higher Ig secretion with lower levels of CpG ODN 2006 and R848 combined.

A full factorial DoE approach identified significant individual effects of IL-21, R848 and CD154 on Ig secretion from memory B cells

Following the identification of CD40 stimulation, IL-21, R848 and CpG as having the greatest capacity for inducing memory B cell expansion/differentiation over a 10-day culture period, these expansion stimuli were combined in a targeted approach that would allow their individual effects on memory B cell differentiation to be titrated. We utilised a full factorial DoE approach with four expansion stimuli at three set levels (low/intermediate/high) ( Table 1), generating 81 possible combinations (3 4). The concentrations chosen for this approach were based on the trends observed in data presented in Figure 1. 2×10 3 memory B cells from three individual donors were cultured in triplicate with each possible combination over a 10-day culture period and total Ig (IgG, IgM & IgA) levels in the supernatant measured. A DoE full factorial approach allows for the impact on Ig output to be determined for each stimulant, at each set concentration ( Figures 2A–E, Supplementary Figure 3). Through the use of a MATLAB script the mean Ig detected in the supernatant whilst “variable x” remains constant and all other variables altered can be calculated, ultimately allowing the impact of subsequently changing the concentration of “variable x” on Ig secretion to be measured. Subsequently 2 nd order interactions and their significance can also be assessed, as there are 9 combinations per donor where two stimulants will remain at the same concentration whilst all other stimulants are being altered.
Figure 2.

A Design of Experiments approach identifies IL-21, CpG and CD40 stimulation as having significant first order effects on IgG, IgM & IgA secretion by differentiated memory B cells.

2×10 3 memory B cells were cultured with all possible combinations of HV13280 cells, IL-21, R848 and CpG at three set concentrations for 10 days, after which total Ig (IgG, IgA & IgM) was measured in culture supernatant by ELISA. ( A– D) Using a Matlab script, the effect of ( A) IL-21, ( B) R848, ( C) CpG and ( D) CD40 stimulation at the chosen concentrations on IgG, IgM and IgA secretion could be determined. ( E) P-values showing the effects of each expansion stimulus on IgG, IgM and IgA secretion into culture supernatant over the 10 day culture. Data shows a summary of three independent donors.

We determined that a combination of high IL-21 ( Figure 2A), high R848 ( Figure 2B) and high CD40 stimulation ( Figure 2D) induced the highest levels of Ig secretion, whilst all having a significant first order impact on Ig secretion ( Figure 2E). Importantly, no stimulant appeared to bias the induction of secretion of one isotype over another. As well as having significant first order effects, the combination of IL-21 and CD40 stimulation had a significant second order impact on IgG, IgM & IgA secretion ( Figures 3C–F), whilst R848 in combination with IL-21 and CpG in combination with CD40 stimulation had significant effects on IgM secretion ( Figures 3A and B). All other second order interactions were not significant ( Supplementary Figure 4). Of note was the determination that CpG did not impact Ig secretion ( Figure 2C), with total Ig in culture supernatant remaining the same when CpG was at 0, 0.25 or 1 μg/ml. Therefore, we defined the optimal expansion conditions as 1:1 MBC:HV13280 ratio, 100 ng/ml IL-21, and 0.5 μg/ml R848.
Figure 3.

A Design of Experiments approach identifies IL-21 & CD40 stimulation as having the greatest second order interaction effect on IgM, IgG & IgA secretion by differentiated memory B cells.

( A– E) Colour plots of the significant second order interactions showing their effect on IgM, IgG and IgA secretion. The non-significant second order interaction colour plots can be seen in Supplementary Figure 5. ( F) P values of the second order interactions on IgG, IgM and IgA secretion into culture supernatant over the 10 day culture. Data shows a summary of three independent donors.

A Design of Experiments approach identifies IL-21, CpG and CD40 stimulation as having significant first order effects on IgG, IgM & IgA secretion by differentiated memory B cells.

2×10 3 memory B cells were cultured with all possible combinations of HV13280 cells, IL-21, R848 and CpG at three set concentrations for 10 days, after which total Ig (IgG, IgA & IgM) was measured in culture supernatant by ELISA. ( A– D) Using a Matlab script, the effect of ( A) IL-21, ( B) R848, ( C) CpG and ( D) CD40 stimulation at the chosen concentrations on IgG, IgM and IgA secretion could be determined. ( E) P-values showing the effects of each expansion stimulus on IgG, IgM and IgA secretion into culture supernatant over the 10 day culture. Data shows a summary of three independent donors.

A Design of Experiments approach identifies IL-21 & CD40 stimulation as having the greatest second order interaction effect on IgM, IgG & IgA secretion by differentiated memory B cells.

( A– E) Colour plots of the significant second order interactions showing their effect on IgM, IgG and IgA secretion. The non-significant second order interaction colour plots can be seen in Supplementary Figure 5. ( F) P values of the second order interactions on IgG, IgM and IgA secretion into culture supernatant over the 10 day culture. Data shows a summary of three independent donors.

Upon stimulation with the optimal Design of Experiments (DoE) expansion conditions, memory B cells progressively differentiate into antibody secreting cells.

Cells were stained with cell trace violet and cultured with the optimised DoE conditions over 10 days, CD19 + CD27 + lymphocytes were phenotyped at baseline, day 5 and day 10. Baseline, day 5 and day 10 ( A– C) cell trace violet levels, ( D– F) surface IgD and IgM expression, ( G– I) surface IgG expression and ( J– L) CD38 expression. ( M and N) Mean fluorescence intensity (MFI) values for each fluorophore relative to the cell trace violet (CTV) peak. A minimum of 5,000 cell trace violet positive events were acquired for each time-point. Data is representative of two independent donors. We subsequently compared total Ig (IgG, IgM & IgA) secretion induced by the DoE conditions to a literature comparator (IL-2 plus R848) [30] and IL-21 plus CpG (optimal condition in the original 2 parameter screen). Memory B cells were stimulated with a number of the top DoE conditions, IL-2 and R848 used at concentrations selected to reflect those detailed in the literature or IL-21 and CpG at concentrations to mirror those in the original screen ( Supplementary Figure 5B). HV13280 cell:memory B cell ratios of 1:1 identified by the DoE process as optimal were used throughout for IL-2 plus R848 and IL-21 plus CpG. The results showed that the identified DoE conditions significantly induced (p=0.0003) higher Ig secretion levels than IL-2 and R848 ( Supplementary Figures 5A and C). The optimal condition also induced significantly higher levels of Ig secretion than the majority of IL-21 and CpG combinations. However, although the top DoE condition induced higher levels of Ig secretion than IL-21 and CpG combination 6, the difference was not significant.

Memory B cells differentiate into plasmablast-like cells upon stimulation with optimal DoE conditions

Upon identification of the optimal memory B cell differentiation conditions through the use of a full factorial DoE approach, the differentiation of memory B cells over a 10-day culture period was tracked by flow cytometry. Freshly isolated CD27 + memory B cells were labelled with the cell tracking dye CellTrace™ violet, and put into culture with the optimal DoE expansion/differentiation conditions. Cells were phenotyped at baseline, day 5 and day 10 of culture. CellTrace™ violet identified multiple rounds of cell division by the end of day 10 ( Figures 4A–C). Additionally, cells progressively lost expression of surface Ig, as demonstrated by a loss in IgD and IgM staining ( Figures 4D–F). The loss of surface Ig was further confirmed by a coincident loss in IgG staining ( Figures 4G–I). This result confirmed that the culture conditions were not inducing class switching of previously IgD and/or IgM positive cells to double negatives, but were rather causing the loss of surface Ig expression. Finally an increase in CD38 expression was also detected ( Figures 4J–L). Increased CD38 expression was particularly telling as it is a B cell marker routinely used for the identification of ASCs, such as plasmablasts and plasma cells [46, 47]. Interestingly although the surface Ig expression was rapidly decreased, CD38 expression levels changed relative to the number of divisions that had taken place ( Figures 4M and N). This suggests that as the cells proliferate they progressively differentiate towards ASCs.
Figure 4.

Upon stimulation with the optimal Design of Experiments (DoE) expansion conditions, memory B cells progressively differentiate into antibody secreting cells.

Cells were stained with cell trace violet and cultured with the optimised DoE conditions over 10 days, CD19 + CD27 + lymphocytes were phenotyped at baseline, day 5 and day 10. Baseline, day 5 and day 10 ( A– C) cell trace violet levels, ( D– F) surface IgD and IgM expression, ( G– I) surface IgG expression and ( J– L) CD38 expression. ( M and N) Mean fluorescence intensity (MFI) values for each fluorophore relative to the cell trace violet (CTV) peak. A minimum of 5,000 cell trace violet positive events were acquired for each time-point. Data is representative of two independent donors.

Ultimately, by the end of the 10-day culture period, CD27 + memory B cells had undergone multiple rounds of cell division, differentiating from CD38 -, surface Ig expressing cells, to CD38 + plasmablast-like cells that had lost the majority of their surface Ig expression. These phenotypical changes coincide with the ability of the cells to secrete Ig, as was detected in culture supernatant by ELISA. Therefore, the optimised DoE expansion conditions promote the phenotypic and functional differentiation of memory B cells into ASCs.

The DoE optimised memory B cell expansion/differentiation conditions do not induce Ig locus genotypic changes

One of the key issues with ex vivo proliferation and differentiation of memory B cells is ensuring that undesirable Ig locus changes that could alter the reactivity of the secreted immunoglobulin are not induced. To detect such changes, we employed a sequencing approach where we first sorted each memory B cell subset (IgM +IgD +, IgM +IgD - and IgM -IgD -) having retained a sample for baseline reads and then cultured for 5 and 10 days before next generation sequencing of the total population Ig transcripts. We first looked at CSR events, and the data show that the IgM +IgD + and IgM +IgD - subsets remain largely IgM + throughout the culture period ( Figures 5A, B and I, Supplementary Figures 6A and B). Whilst the IgM - IgD - population showed a distribution of different IgG and IgA isotypes, which largely remained within their relative proportions over the 10-day culture period ( Figures 5C and I, Supplementary Figure 6C). Overall these data suggest that the culture conditions do not induce CSR events both at the RNA and protein level.
Figure 5.

Design of Experiments expansion/differentiation conditions do not induce undesirable Ig genotypic changes.

IgM + IgD +, IgM + IgD -, IgM - IgD - memory B cells were isolated by cell sorting and cultured using the optimised conditions. Samples were taken at baseline, day 5 and day 10 where Ig transcripts were analysed. ( A– C) Ig constant region transcripts measured from each subset at baseline, day 5 and day 10 of culture expressed as a percentage of isotype-specific Ig reads from the total Ig repertoire. ( D) VH SHM of each memory B cell subset across the three timepoints as a percentage of the total VH segment length at nucleotide level. ( H) Average CDRH3 length in nucleotides of Ig transcripts measured for each population across the different time points. ( F– H) Density plots of CDRH3 length for the individual subsets across the three time points. CDRH3 length is shown as nucleotides on the x axis. ( I) IgG, IgA and IgM levels in culture supernatant when memory B cell subsets are cultured separately. Data is representative of two independent donors.

Design of Experiments expansion/differentiation conditions do not induce undesirable Ig genotypic changes.

IgM + IgD +, IgM + IgD -, IgM - IgD - memory B cells were isolated by cell sorting and cultured using the optimised conditions. Samples were taken at baseline, day 5 and day 10 where Ig transcripts were analysed. ( A– C) Ig constant region transcripts measured from each subset at baseline, day 5 and day 10 of culture expressed as a percentage of isotype-specific Ig reads from the total Ig repertoire. ( D) VH SHM of each memory B cell subset across the three timepoints as a percentage of the total VH segment length at nucleotide level. ( H) Average CDRH3 length in nucleotides of Ig transcripts measured for each population across the different time points. ( F– H) Density plots of CDRH3 length for the individual subsets across the three time points. CDRH3 length is shown as nucleotides on the x axis. ( I) IgG, IgA and IgM levels in culture supernatant when memory B cell subsets are cultured separately. Data is representative of two independent donors. To assess levels of SHM, we first looked at how the level of VH SHM changed across the 10 day culture period for each subset ( Figure 5D). This data showed that the level of SHM did not increase across the 10 day culture period. Subsequently, we investigated how CDRH3 length changed across the 10 day culture period. The results show that within each subset the average CDRH3 length remains almost constant in terms of nucleotide length ( Figure 5E) across the 10-day culture period, with a more detailed analysis showing that for each subset the densities of the different CDRH3 lengths present in the population appear to remain constant across the different time points ( Figures 5F–H, Supplementary Figures 6E–G). Overall this data suggests that although the culture conditions were inducing proliferation and differentiation of memory B cells they were not inducing SHM events.

Discussion

The role of memory B cell subsets in response to vaccination and/or infection is only just starting to become clear. Differences in location, kinetic time point and type of vaccination or infection all influence the development of different memory B cell subsets. Importantly it is not just phenotype that distinguishes these cells from one another, they may each have differences in functionality [11], switch capacity [48] and overall numbers in responses to different types of challenge. To effectively study memory B cell subsets, we carried out a wide screen of memory B cell expansion and differentiation conditions and utilised a novel DoE process to optimise conditions that would lead to the highest levels of proliferation and Ig secretion. Subsequently the optimal conditions were characterised to ensure that they did not induce any undesirable changes. Our original wide screening process encapsulated over 200 different culture conditions taken from the literature. The results from this section clearly demonstrated a trend towards higher Ig secretion in those wells where CD40 stimulation was combined with IL-21 and some form of PRR agonist. The use of IL-21 for ex vivo memory B cell proliferation and differentiation stems from its essential role in the germinal center [49] where it acts directly on B cells. Therefore, IL-21 serves an essential role in several different published protocols for both human and murine memory B cell culture [26, 29, 50]. The combination of CD40 stimulation, IL-21 and CpG for memory B cell culture has been previously published [28]. However, what had not been attempted was the combination of CD40 stimulation, IL-21, CpG and R848, which formed the basis of the top two conditions identified from our primary screen. To try and induce maximal memory B cell proliferation and differentiation, we combined the top two conditions from our original screen using a structured DoE full factorial design. The DoE full factorial design approach offers a powerful statistical tool to answering biological questions and can ultimately save time and costs, and streamline the addressing of research questions from in vitro work through to in vivo, as reviewed by Shaw et al. [51]. This approach suited our needs, as it allowed us to determine the impact of each stimulant on Ig secretion. A total of 81 possible combinations (3 concentrations of 4 different stimulants) were assessed. The data showed that a combination of 100 ng/ml IL-21, 0.5 μg/ml R848 and high levels of CD40 stimulation all significantly enhanced Ig secretion. The fact that CpG did not significantly enhance Ig secretion was surprising, particularly as the CD154, IL-21, CpG condition induced higher levels of Ig than CD154, IL-21 and R848 in the original screen. The explanation for this likely lies in the fact that the concentrations used in the DoE approach were chosen based on trends seen in the original screen. The lack of an effect then witnessed by CpG was possibly due to a redundancy mechanism, whereby the R848 signal that was now at a more optimal concentration than in the original screen outcompeted the CpG, as both R848 and CpG use TLRs which signal through the MyD88 adaptor protein [52]. Also of note from the DoE data is that although we observed a potential plateau in Ig secretion with increasing concentrations of CD40 stimulation, IL-21 and R848 responses were still trending upwards. Therefore, it is possible that higher concentrations of each of these stimulants could further enhance expansion and Ig secretion. Finally, and perhaps most importantly, the DoE approach was capable of showing that neither IL-21, R848 nor CD40 stimulation at any concentration appeared to bias Ig secretion towards either IgG, IgA or IgM. This suggested that the optimal conditions were not biased towards inducing proliferation and or differentiation of either IgM + IgD +, IgM + IgD -, IgM - IgD - memory B cell subsets. To confirm if the DoE process was beneficial, we went on to compare the Ig secretion induced by IL-2 & R848, IL-21 & CpG from our original screen, and the DoE optimised conditions. Overall the results justified the DoE optimisation approach. However, the results did show that although inducing significantly higher levels of Ig secretion than IL-2 and R848, the difference between the DoE conditions and the IL-21 & CpG conditions was not always significant, despite a trend towards higher Ig secretion with the DoE conditions. The lack of an effect seen with the IL-2 and R848 was rather surprising. The original publication on the optimisation of the IL-2 and R848 conditions by Pinna et al. [30] was for memory B cells within a PBMC scaffold, and the authors also showed that increased levels of CD40 stimulation inhibit memory B cell proliferation. Therefore, it is possible that our CD154 levels that were optimised for the IL-21 conditions could have been inhibitory in the IL-2 and R848 cultures. To characterise how the memory B cell culture conditions impacted the Ig locus, we employed an IgH deep sequencing platform. One issue we faced in our sequencing work was the presence of IgG1 and IgA1 transcripts detected at baseline in the IgM + subsets. This result was likely caused by plasmablast contamination during the sorting process, as these transcripts were clonal in nature and were rapidly lost during the culture process. Interestingly despite inducing B cell activation and differentiation, the culture conditions did not induce CSR at either the genomic or protein level. Although a possibly unexpected result, since CD40 engagement [53] and IL-21 induce activation induced cytidine deaminase (AID) expression [29], which plays a key role in both the CSR and SHM pathways [54], this result does mirror a previously published result, which showed that IL-21 induced AID expression but no detectable SHM events [29]. One possible explanation of our results comes from a recent publication that showed that CSR takes place much more readily in a hypoxic environment, likely recapitulating the environment in the germinal centre [55]. Although this work was carried out using a murine model, it is possible that the same “checkpoint” exists in humans and provides a probable explanation for why we do not see CSR in our cultures. It would therefore be interesting to set up memory B cell cultures in such a hypoxic environment and test if we see CSR events and SHM taking place more readily than in our normoxic culture conditions. Importantly analysis of the Ig VH region highlighted that the culture conditions did not appear to induce SHM with levels of VH SHM staying relatively constant for each subset across the 10-day culture period. However, to fully confirm if the culture conditions impact the Ig locus monoclonal cell lines would need be cultured and then IgH sequencing carried out as was done by Kwakkenbos et al. [24]. Recently, the importance of IgM + memory B cells in mediating long term immunity in murine models has started to become apparent [16, 17, 56] and this work is now starting to be translated into humans. For example, recent work has shown that in humans the majority of circulating long lived tetanus toxoid specific memory B cells are IgM + [57]. However, these cells are extremely rare and the authors did not delineate whether these cells were IgM + IgD + and/or IgM + IgD -. By inducing robust expansion and differentiation of IgG +, IgA +, IgM + IgD + and IgM + IgD - cells, whilst not inducing CSR, the methods described in this manuscript will allow the responsiveness of rare memory B cells to be assessed irrespective of isotype. This could prove vitally important for the study of rare subsets including IgM expressing subsets such as B-1 cells. In conclusion, our data show that a combination of IL-21, R848 and CD40 stimulation is optimal for the induction of purified memory B cell proliferation and differentiation into ASCs from a number of different memory B cell subsets. Importantly, characterisation of these culture conditions shows that they do not induce any undesired genotypic changes and are not biased towards any one memory B cell subset studied. Therefore, these conditions provide a valuable starting point for the investigation of memory B cell subset responses where proliferation is required to increase rare cell number, and differentiation is required to allow for functionality assessments.

Data availability

All raw ELISA and FACS data, and the custom MATLAB script for DoE are available on OSF: http://doi.org/10.17605/OSF.IO/W96YG [58]. For sequencing data, accession numbers can be found in Table 4. It should be noted that access to samples must be requested from the Data Access Committee (DAC), whose contact details can be found on the EGA study page, accessible through the study accession number ( EGAS00001002633) or by emailing datasharing@sanger.ac.uk. The requester will be required to sign a data access agreement, which is in place to protect the identity of the sample donor via a managed access system.
Table 4.

B cell sequencing accession numbers.

EGA accession numbers and sample identifiers. EGA study accession number for all samples: EGAS00001002633.

DonorPopulationExpansion dayEGA sample accession number
1IgM + IgD + 0EGAN00001588556
1IgM + IgD - 0EGAN00001588558
1IgM - IgD - 0EGAN00001588559
1IgM + IgD + 5EGAN00001588560
1IgM + IgD - 5EGAN00001588561
1IgM - IgD - 5EGAN00001588562
1IgM + IgD + 10EGAN00001588563
1IgM + IgD - 10EGAN00001588564
1IgM - IgD - 10EGAN00001588565
2IgM + IgD + 0EGAN00001588549
2IgM + IgD - 0EGAN00001588541
2IgM - IgD - 0EGAN00001588542; EGAN00001588543
2IgM + IgD + 5EGAN00001588575
2IgM + IgD - 5EGAN00001588550
2IgM - IgD - 5EGAN00001588551
2IgM + IgD + 10EGAN00001588552
2IgM + IgD - 10EGAN00001588554
2IgM - IgD - 10EGAN00001588555

B cell sequencing accession numbers.

EGA accession numbers and sample identifiers. EGA study accession number for all samples: EGAS00001002633. The Authors have adequately addressed all reviewers comments, adding requested data and supporting information, editing figures and text accordingly. I would like to thanks the editors for giving me the opportunity to review and the authors for thoroughly addressing the reviewers comments. This is an interesting paper that will undoubtedly help the broader scientific community advance the analyses of memory B cell populations. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. The authors of the manuscript "Optimisation of  ex vivo memory B cell expansion/differentiation for interrogation of rare peripheral memory B cell subset responses" have satisfactorily addressed each of the points outlined in the critique from October 31st 2017. We would like to thanks the editors and authors for giving us the opportunity to review and also addressing our points sequentially and eloquently.  This is an interesting paper that will further advance the analyses of memory B cell populations and in the design of critical end point clinical trial analyses. We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. In this manuscript “Optimisation of  ex vivo memory B cell expansion/differentiation for interrogation of rare peripheral memory B cell subset responses” by Muir et al, the group tackles the methodologies of how to interrogate low frequency memory B cell responses following vaccination. Reminiscent of the trajectory that T cell immunobiology embarked upon some 25 years ago, the investigation of ex-vivo B cells (using tetrameric complexes to specifically sort phenotypically characterized antigen specific B cells) is preferable to stimulation and culturing techniques that have the potential to alter the target B cell populations. Here Muir et al test a matrix of stimulation techniques that would potentially minimally affect the target memory cell populations while amplifying the frequency to enable appropriate investigation. Overall this is an interesting approach that, in the main, is well articulated and presented with relevant experiments. The methodology would be of use to the general vaccine community particularly when specific proteins are unavailable or memory B cells are in low frequency. Below are some suggestions and questions for the authors to consider. The authors lay out their rationale and approach in the Introduction adequately but may include some more details: investigation of subsets of human B-1 cells, which would strengthen the authors point of studying rare IgM B cell subtypes. Also, the presence of B cell subtypes that are not easily identified by fluorophore conjugated proteins (probes) using flow cytometry such as those that are poly-reactive or problems in fluorescently labeling polysaccharides. The use of retroviral transduction (Kwakkenbos et al, Nat Med 2010) should also be accounted for when mentioning EBV immortalization. An alternative reference to Moir et al (ref 21) should be used to make this point regarding the use of conjugated protein probes for the identification of B cell populations, as this misrepresents this particular paper. In the 5 th paragraph of the Introduction the authors correctly cite the use of culture methods in the identification of HIV neutralizing antibodies and the need to perform B cell ELISPOT in the occasion that antigen specific proteins are unavailable. However, the statement “there has been no study aimed at identifying memory B cell expansion/differentiation across different subsets” should be deleted and the inclusion of indicated references (Jahnmatz, M.  et al.  Journal of immunological methods 391, 50–9 (2013) and Berkowska, M.  et al.  Blood  118, 2150–8 (2011)) should be cited and included, then comment upon why this manuscript is novel in the context of the previously published memory B cell analyses. When laying out the methods being employed it may have been useful to comment upon why certain stimuli were omitted, as well as included e.g. Poke weed mitogen (PWM). Furthermore, perhaps including in Table 1, the targets of each stimuli, such as the TLR interactions, would be informative to the readers as they select the stimuli most applicable for use. The preferential amplification/proliferation of certain B cell subsets would have added to the novelty of the manuscript and this point was noted in the Introduction. However, the omission of CD21 from the flow cytometry staining and sorting panel resulted in a lost opportunity to monitor the relative frequencies of “resting” versus “activated” at baseline in combination with CD27 (ref 21, Moir et al). It has been discussed elsewhere that in-vitro stimulation protocols favour the expansion of the “resting” memory B cell populations, which has implications in vaccine immune-monitoring. The results are well laid out and communicated sequentially to the benefit of the reader. Minor points: the authors mention CD154 without explaining that this is the ligand for CD40, which is important to the conclusions of the manuscript. Perhaps the inclusion of a gating strategy as a supplemental on baseline samples rather than older co-cultures would be conventional to demonstrate the specificity of the flow cytometry panel. Results paragraph 6: “As well as having significant first order effects, the combination of IL-21 and CD40…” Maybe the authors would like to include “CD40 stimulation” to be consistent? In Figure 4, Day 10 F, can the authors comment upon the reappearance of IgM?  Figure 5: Another supplemental figure that includes the primers used for the determination of the SHM or reference in the text. If these are the same primers as Tiller et al J. Immunol. Methods  329, 112–24 (2008) then indicate. Panels D and E are labeled the same IgM+IgD+, presumably E should be IgM+IgD-? Can the authors explain in the Results or Discussion why they used general CDRH3 length and not a specific vaccine epitope repertoire response to illustrate the accumulation of point mutations within the CDRH2 and 3 locus? This is important for the overall message of the manuscript and not to determine experimentally the accumulation of random point mutations would be a critical piece of data, should the method be deployed to analyze the evolution of the memory B cell repertoire following vaccination -  especially critical for the analyses of the eOD-GT8 IgM responses cited in the Discussion. This should be reanlaysed, corrected or commented upon in the discussion. Overall the discussion should be shortened and more focused upon the positive impact and applications of the method described. We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above. In response to the reviewers' comments the Introduction has been edited to discuss potential applications of the work for identification of poly-reactive IgM memory B cells and potential for use with the B-1 B cell subset. Similarly a brief section discussing the Bcl-6 and Bcl-xL retroviral transduction system for long term memory B cell cultures has been added to the introduction. We have also updated the Moir reference with regards to flow sorting as this was a miss reference that was not picked up on proof reading and has been removed, we thank the reviewers for picking up on this. The Berkowska et al and Jahnmatz et al references have been cited and the text edited to make it clear that the novelty of the manuscript lies in the identification of memory B cell differentiation conditions for the IgM + IgD +, IgM + IgD - and IgM - IgD - subsets. The Berkowska et al publication shows a detailed analysis of the potential origins of different memory B cell subsets but does not look at the use of the ex vivo memory B cell culture technique for these subsets. In contrast the Jahnmatz et al publication focuses on the optimisation of memory B cell culture conditions but focuses solely on IgG + memory B cells. The potential applications and importance of defining these conditions are also discussed. We think that the targets of each of the stimuli would be a welcome addition to Table 1 and have added these. The flow cytometry panel was a basic memory B cell panel selected to mirror the magnetic memory B cell isolation kit. In the analysis of future vaccine studies we agree that it would be worthwhile to include CD21 in the panel. We are also looking at including CD80, PD-L2 and CD73 which have been used in murine models to identify the differentiation capabilities of memory B cell subsets and could have a similar role in humans (Anderson et al, JEM, 2007. Tomayko et al, JI, 2010). The manuscript text has been edited to ensure that “CD40 stimulation” is used consistently. CD154 is listed as CD40-ligand in both the introduction and the discussion. With regards to the reappearance of the IgM + IgD - memory B cell population at day 10, we would first like to point out that this population is reduced considerably when compared to the baseline sample. However, the reviewers are correct in pointing out that although the population is absent at day 5 of culture there appears to be a clearly defined IgM + IgD - population at day 10 of culture. One possible explanation for this discrepancy could be that the surface IgM levels are decreased as the cells undergo rapid proliferation, similar to the germinal centre reaction. Then at day 10 when the IL-21 and R848 concentrations may have become limiting the cells are less proliferative and start to re express surface IgM. This could also explain a similar slight increase in the IgG + population although this was not as clearly defined. This hypothesis could be tested by the re-addition of fresh IL-21 and R848 at later time points. As mentioned to reviewer 1 the primer sequences have been added as a table to the methods section. Figure 5E has been edited to read “IgM + IgD -”. Our original analysis which solely focused on CDRH3 length was clearly an oversight with the paper and we have now re analysed the data to look at total VH region SHM across the 10 day culture period. This data has been inserted into the paper and shows that the SHM levels do not appear to change for any of the 3 subsets across the 10 day culture period, with potential limitations and alternatives to this approach discussed in the discussion. As suggested the discussion has been reviewed for potential revisions to make it more concise and focus upon the benefits of this method. This manuscript “Optimization of ex vivo memory B-cell expansion/differentiation for interrogation of rare peripheral memory B-cell subset responses” describes a very thorough and systematic screening of various reagents combinations and concentrations with the goal to optimize culture conditions for the ex-vivo expansion and antibody secreting cells (ACS) differentiation of peripheral B-cell subsets. Reagents were selected based on literature review and culture conditions were optimized in a two-step process to first quickly identify the best combination and to then fine-tuned the concentrations and ratio required for optimal expansion and Ig secretion of each B-cell subset, in an extensive matrix format complemented by a comprehensive statistical analysis to evaluate the impact of each factor. Finally, they verified that the phenotype and genotype of different B-cell subsets were not altered during the optimized ex-vivo culture process. The manuscript is well written, the study rational is sound, the experimental strategy is logical and well-explained, and the results are presented in a clear manner with main figures displaying all key relevant results and additional information made available in supplementary material. To a large extend the conclusions are adequate in regards of the presented data, with reserved regarding Figure 4M-N conclusions and the last paragraph of the results section (see Major Points). Overall, this study should be of great interest to B cell immunologists interested in characterizing human Ab responses to infection or in other disease models where sample size and availability is often limiting. Issues that should be addressed: Major Point# 1- In the paragraph of the results section, the authors describes how they assessed whether their optimized culture conditions induced somatic hypermutations (SHM) which would alter the genotype and functional characteristics of the secreted Igs. They chose to evaluate CDRH3 length variation as an indicator for SHM and INDELs taking place. However, INDELs are often non-productive due to off-frame sequence or structurally unstable/aggregating Abs, such that variations in CDRH3 length are rather rare occurences compared to single nucleotides or amino-acid variations which are more frequently observed during the SHM process, not only in the CDR3 but also at other CDRs and SHM hot-spots as well. Furthermore, the Methods section seem to imply (although it is not very clear, also see Minor Point 1 below) that the NGS covered the entire V-region (VDJ) and only the CRD3 region. The authors should therefore provide additional SHM data regarding the V and J genes to truly support their conclusions. Major Point#2. In the third sub-headed section of the Results, the authors conclude from Figure 4M-N that “ CD38 and Ig expression levels changed relative to the number of divisions that had taken place [during the ex-vivo-culture]…suggesting that as the cells proliferate, they progressively differentiate and lose Ig expression”. However, the data presented Figure 4 M-N do not really support these statements as the level of Ig in particular, is fairly equivalent for each “peak” (= cell division). Maybe a blow up of the lower values would help seeing the significance of this statement. Minor Point #1 - The sequence of primers used for the B-cell next generation sequencing should be provided in a table to ensure full reproducibility of the experiments as well as comparison with other primers sets already published. Minor Point #2 – Figure 5D-G and Supplementary Figure 6D-F present CDR3 length data but the fact that these are Heavy Chain sequencing data is not stated clearly throughout the paper and in the figures. All mentions of CDR3 should be changed to CDRH3 or HCDR3. Minor Point #3- It is mentioned that 10 donors independent donors were used for this study and figures present either data for one representative donor or a summary of 2 to 3 donors. A small figure or text mention of the extent of the variability between donors would be appreciated. Note that I could not access the NGS data using the provided links, yet I suggest the above mentioned information regarding Ig NGS be included in the main manuscript. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Response to Major Point 1: The sequencing did cover the whole VDJ region and we have now completed analysis of the SHM levels withing the VH region. This data has been added to the manuscript and highlights that the levels of SHM do not appear to change over the 10-day culture period. Response to Major Point 2: Having reviewed the data the text been edited to reflect this point. The text now reads “Interestingly although surface Ig expression rapidly decreased, CD38 expression levels changed relative to the number of divisions that had taken place (Figures 4M and N). This suggests that as the cells proliferate they progressively differentiate towards ASCs.” We have also altered Figure 4 which hopefully makes the drop in surface Ig expression levels easier to interpret. Response to Minor Point 1: We have added a table highlighting the sequences of the NGS primers to the methods section. Response to Minor Point 2: This was clearly an oversight in the manuscript and the text has now been updated to ensure CDRH3 is used consistently. Response to Minor Point 3: Due to the rarity of some subsets it was not possible to use the same 3 donors throughout the whole manuscript. As suggested a section that reads as follows has been added into the methods section: “Due to the rarity of some subsets the same donors could not be used throughout the whole study. Therefore memory B cells were isolated from 10 different donors and replicates from 1-3 donors used per individual experiment. This meant that inter donor variability was measured throughout each experiment but not between different experiments. However, it should be noted that all isolated memory B cells and subsets from all donors were well within the expected normal range” With regards to the NGS data, the link for the study accession in the legend for table 3 takes you to a page where you can request access to all the sequence samples listed in table 3. For ethical purposes, it is not possible to publish the human clinical trial participant sequencing data openly on the internet but access can be requested.
  59 in total

1.  An optimized assay for the enumeration of antigen-specific memory B cells in different compartments of the human body.

Authors:  Yanran Cao; Maja Gordic; Sebastian Kobold; Nesrine Lajmi; Sabrina Meyer; Katrin Bartels; York Hildebrandt; Tim Luetkens; Anna Sophie Ihloff; Nicolaus Kröger; Carsten Bokemeyer; Djordje Atanackovic
Journal:  J Immunol Methods       Date:  2010-03-17       Impact factor: 2.303

2.  Differential responses of human B-lymphocyte subpopulations to graded levels of CD40-CD154 interaction.

Authors:  Sonia Néron; Claudia Racine; Annie Roy; Matthieu Guérin
Journal:  Immunology       Date:  2005-12       Impact factor: 7.397

3.  Duration of humoral immunity to common viral and vaccine antigens.

Authors:  Ian J Amanna; Nichole E Carlson; Mark K Slifka
Journal:  N Engl J Med       Date:  2007-11-08       Impact factor: 91.245

4.  Germinal Center Hypoxia Potentiates Immunoglobulin Class Switch Recombination.

Authors:  Robert K Abbott; Molly Thayer; Jasmine Labuda; Murillo Silva; Phaethon Philbrook; Derek W Cain; Hidefumi Kojima; Stephen Hatfield; Shalini Sethumadhavan; Akio Ohta; Ellis L Reinherz; Garnett Kelsoe; Michail Sitkovsky
Journal:  J Immunol       Date:  2016-10-19       Impact factor: 5.422

5.  IL-21 induces differentiation of human naive and memory B cells into antibody-secreting plasma cells.

Authors:  Rachel Ettinger; Gary P Sims; Anna-Marie Fairhurst; Rachel Robbins; Yong Sing da Silva; Rosanne Spolski; Warren J Leonard; Peter E Lipsky
Journal:  J Immunol       Date:  2005-12-15       Impact factor: 5.422

6.  High efficiency human memory B cell assay and its application to studying Plasmodium falciparum-specific memory B cells in natural infections.

Authors:  Greta E Weiss; Francis M Ndungu; Noah McKittrick; Shanping Li; Domtila Kimani; Peter D Crompton; Kevin Marsh; Susan K Pierce
Journal:  J Immunol Methods       Date:  2011-09-22       Impact factor: 2.303

Review 7.  A brief history of T cell help to B cells.

Authors:  Shane Crotty
Journal:  Nat Rev Immunol       Date:  2015-02-13       Impact factor: 53.106

Review 8.  Dynamics of B cells in germinal centres.

Authors:  Nilushi S De Silva; Ulf Klein
Journal:  Nat Rev Immunol       Date:  2015-02-06       Impact factor: 53.106

9.  Complex Antigens Drive Permissive Clonal Selection in Germinal Centers.

Authors:  Masayuki Kuraoka; Aaron G Schmidt; Takuya Nojima; Feng Feng; Akiko Watanabe; Daisuke Kitamura; Stephen C Harrison; Thomas B Kepler; Garnett Kelsoe
Journal:  Immunity       Date:  2016-03-03       Impact factor: 31.745

10.  Exploiting human memory B cell heterogeneity for improved vaccine efficacy.

Authors:  Noel T Pauli; Carole J Henry Dunand; Patrick C Wilson
Journal:  Front Immunol       Date:  2011-12-15       Impact factor: 7.561

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  2 in total

Review 1.  Molecular Dissection of the Antibody Response: Opportunities and Needs for Application in Cattle.

Authors:  Ruben Barroso; W Ivan Morrison; Liam J Morrison
Journal:  Front Immunol       Date:  2020-06-12       Impact factor: 7.561

2.  CD4+ T Cell Dependent B Cell Recovery and Function After Autologous Hematopoietic Stem Cell Transplantation.

Authors:  Clarissa Heck; Sophie Steiner; Eva M Kaebisch; Marco Frentsch; Friedrich Wittenbecher; Carmen Scheibenbogen; Leif G Hanitsch; Axel Nogai; Philipp le Coutre; Lars Bullinger; Igor-Wolfgang Blau; Il-Kang Na
Journal:  Front Immunol       Date:  2021-09-29       Impact factor: 7.561

  2 in total

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