Literature DB >> 27656675

Expression and methylation data from SLE patient and healthy control blood samples subdivided with respect to ARID3a levels.

Julie M Ward1, Michelle L Ratliff1, Mikhail G Dozmorov2, Graham Wiley3, Joel M Guthridge3, Patrick M Gaffney3, Judith A James4, Carol F Webb5.   

Abstract

Previously published studies revealed that variation in expression of the DNA-binding protein ARID3a in B lymphocytes from patients with systemic lupus erythematosus (SLE) correlated with levels of disease activity ("Disease activity in systemic lupus erythematosus correlates with expression of the transcription factor AT-rich-interactive domain 3A" (J.M. Ward, K. Rose, C. Montgomery, I. Adrianto, J.A. James, J.T. Merrill et al., 2014) [1]). The data presented here compare DNA methylation patterns from SLE peripheral blood mononuclear cells obtained from samples with high numbers of ARID3a expressing B cells (ARID3a(H)) versus SLE samples with normal numbers of ARID3a(+) B cells (ARID3a(N)). The methylation data is available at the gene expression omnibus (GEO) repository, "Gene Expression Omnibus: NCBI gene expression and hybridization array data repository" (R. Edgar, M. Domrachev, A.E. Lash, 2002) [2]. Isolated B cells from SLE ARID3a(H) and ARID3a(N) B samples were also evaluated via qRT-PCR for Type I interferon (IFN) signature and pathway gene expression levels by qRT-PCR. Similarly, healthy control B cells and B cells stimulated to express ARID3a with the TLR agonist, CpG, were also compared via qRT-PCR. Primers designed to detect 6 IFNa subtype mRNAs were tested in 4 IFNa, Epstein-Barr Virus-transformed B cell lines ("Reduced interferon-alpha production by Epstein-Barr virus transformed B-lymphoblastoid cell lines and lectin-stimulated lymphocytes in congenital dyserythropoietic anemia type I" (S.H. Wickramasinghe, R. Hasan, J. Smythe, 1997) [3]). The data in this article support the publication, "Human effector B lymphocytes express ARID3a and secrete interferon alpha" (J.M. Ward, M.L. Ratliff, M.G. Dozmorov, G. Wiley, J.M. Guthridge, P.M. Gaffney, J.A. James, C.F. Webb, 2016) [4].

Entities:  

Keywords:  ARID3a; B cells; SLE

Year:  2016        PMID: 27656675      PMCID: PMC5021782          DOI: 10.1016/j.dib.2016.08.049

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data DNA gene methylation data derived from SLE peripheral blood mononuclear cells were subdivided based on levels of ARID3a expression, a transcription factor which correlated with disease activity indices [1], allowing comparison of patient samples with high and low ARID3a levels. Data for expression of a subset of IFNa associated genes obtained from SLE samples with high or low ARID3a expression, and from healthy control blood cells or those stimulated to express increased levels of ARID3a, allow comparison of effects of high and low ARID3a expression on gene expression. Data provide validation of primer sets useful for studying Type I interferon signature genes.

Data

One database link, three tables, and one figure are provided in this article. Methyl-seq data from SLE PBMCs segregated based on high or normal numbers of ARID3a+ B cells was deposited in NCBI׳s GEO database under the following accession number GEO: GSE84965 [2]. Table 1, Table 2 show qRT-PCR data obtained via Biomark HD for Type I IFN pathway genes from RNA derived from SLE B cells subdivided based on ARID3a levels [1], and for healthy control B cells with or without CpG induced ARID3a expression [4]. IFN signature genes are in bold. Primers for RT-PCR and qRT-PCR are given in Table 3. Fig. 1 shows the results of RT-PCR of IFNa in four EBV-transformed lymphoblastoid B cell lines [3].
Table 1

Upregulated genes in ARID3aH versus ARID3aN SLE B cells.

GeneARID3aHARID3aNP-value
ARID3a0.68430.06920.0008
BCL24.60001.32830.0081
BCL2L17.69800.36080.0049
EPSTI11958.190017.66250.0034
HERC517.42501.98330.0043
IFI646.07453.74830.0227
IFI271958.190017.66250.0034
IFI4423.624216.64670.3387
IFI44L130.644029.80920.0369
IFIT333.211814.82080.0691
IFNA249.057022.99250.2194
IFNAR11.04251.24330.5319
IFNB19.39421.15750.0004
IRF32.18630.14080.0008
IRF51.37420.37830.0035
IRF73.53600.25100.0006
ISIG155.62330.61500.0118
Ly6E21.43881.56830.0023
MX133.64674.35420.0009
MYD884.12362.27400.0999
OAS111.77250.32670.0007
OAS20.84750.25420.0847
OAS36.02570.23130.0018
PLSCR117.59750.84000.0526
SIGLEC1144.210055.87130.0570
STAT12.22251.01580.0660
TLR 75.75002.08080.0165
TLR93.82502.84250.4706
USP1817.59750.84000.0010
Table 2

Upregulated or downregulated genes in CpG-stimulated versus unstimulated healthy control B cells.

GeneCpGUnstimulatedP-value
Upregulated
 EPST13.141251.01875<0.000001
 HERC56.92250.9875<0.000001
 IFI61.951.001250.001894
 IFI274.91.580.001146
 IFI441.8051.051250.003712
 IFI44L2.23251.230.001263
 IFIT33.063751.196250.000121
 IFNA23.166251.071250.015070
 IFNAR12.121.0075<0.000001
 IFNB13.31251.3250.017893
 IRF31.948751.01875<0.000001
 IRF51.013751.041250.710859
 IRF71.53250.98625<0.000001
 ISG150.78250.89750.385249
 Ly6E1.68251.0150.000261
 MX12.611251.03750.000002
 MYD881.311250.966250.000083
 OAS14.31750.945<0.000001
 OAS21.79750.990.000954
 OAS32.13751.07250.001380
 PLSCR11.51250.996250.000332
 STAT11.00251.013750.808948
 TLR75.306251.03750.000002
 TLR92.283750.998750.001518



Downregulated
 BCL2L10.74750.95250.009423

IFN signature genes are in bold.

Table 3

Primer sequences.

GenePrimer sequence (5′ to 3′)Figure
IFIT1CTCCTTGGGTTCGTCTATAAATTGAGTCAGCAGCCAGTCTCAGFig. 1a in [4]
HPRT1TTGGTCAGGCAGTATAATCCGGGCATATCCTACAACAAACFig. 1a in [4]
GAPDHGCCGCATCTTCTTTTGCGTGCCCAATACGACCAAATCCGTFig. 1a in [4]
CMYCACTCTGAGGAGGAACAAGAATGGAGACGTGGCACCTCTTFig. 1e in [4]
ARID3AAACAAGAAGCTGTGGCGTGATCATGTATTGGGTCCGCAGGFig. 1c in [4]
ACTINATCTGGCACCACACCTTCTACAATGAGCTGCGCGTCATACTCCTGCTTGCTGATCCACATCTGCFig. 1
IFNACCTGGCACAAATGAGGAGAAAGCTGCTGGTAAAGTTCAGTATAGFig. 2a in [4]Fig. 1
OAS1TACCCTGTGTGTGTGTCCAAAGAGGACTGAGGAAGACAACCFig. 3a, 4d in [4]Table 1
OAS2TGGTGAACACCATCTGTGACCCATCGGAGTTGCCTCTTAA
OAS3AGGACTGGATGGATGTTAGCCACTTGTGGCTTGGGTTTGACTable 1
ISG15CTGAGAGGCAGCGAACTCAGCTCAGGGACACCTGGAATable 1
PLSCR1GTTGTCCCTGCTGCCTTCATGGGTGCCAAGTCTGAATAACATable 2
HERC5TTCAGATCACATGTGGAGATTACCGTTCTGTCCCCAGGCAAAATable 1, Table 2
IFI44GGCTTTGGTGGGCACTAATATGCCATCTTTCCCGTCTCTA
IFIT3ACTGGCAATTGCGATGTACCGCTCAATGGCCTGCTTCAAATable 2
LY6ETGCTCCGACCAGGACAACTAGGCTGTGGCCAAATGTCACTable 1, Table 2
MX1ATGCTACTGTGGCCCAGAAAGGCGCACCTTCTCCTCATATable 1, Table 2
USP18TGAATGTGGACTTCACCAGGATAGCAGCAGAAGCATCTGGAAATable 1
IFI44LGCAAAAGTGAAGCAAGTTCACAGAACCTCACTGCAATCATCCATable 1, Table 2
IFI6TGCTACCTGCTGCTCTTCATCAGGGCCTTCCAGAACCTable 1
SIGLEC1AGGAGGCGTGTTTGTAAGCATGTGGCTGCATCAGGATCAAFig. 3a in [4]
IFI27TTGTGGCTACTCTGCAGTCACCCAGGATGAACTTGGTCAATable 1
EPSTI1GCAAGAGCAAGAAAGAGCCAAACCTTGGAGTCGGTCCAGAAAATable 1, Table 2
IRF3ACCAATGGTGGAGGCAGTACTGGGGCCAACACCATGTTAFig. 3b, 4e in [4]
IRF5AGATCTACGAGGTCTGCTCCAACCTCTCCTGCACCAAAAGAGTA
IRF7GGCAGAGCCGTACCTGTCAACCGTGCGGCCCTTGTA
TLR7TCTTCAACCAGACCTCTACATTCCAGCCCCAAGGAGTTTGGAAATable 1, Table 2
TLR9TGCAACTGGCTGTTCCTGAAACAAGGAAAGGCTGGTGACATable 2
MYD88CTGCAGAGCAAGGAATGTGACTGCTGGGGAACTCTTTCTTCA
IFNAR1AGTGACGCTGTATGTGAGAAAAACGGGAGAGCAAATAATGCAFig. 3b in [4]Table 2
STAT1ATGCTGGCACCAGAACGAAGCTGGCACAATTGGGTTTCAA
IFNA2AGGATTCAGCGGGAACACAACAATCTCAAACTCTGGTGGTTCAAATable 2
IFNB1ATGAGCAGTCTGCACCTGAAGACTGTACTCCTTGGCCTTCATable 2
Fig. 1

EBV-transformed lymphoblastoid B cell lines (LCLs) express IFNa. RT-PCR analysis of IFNa expression in 4 distinct EBV-transformed lymphoblastoid lines was measured in comparison to the positive control cell line, 293T. A no template (NT) negative control is also shown. The housekeeping gene, β-actin, was amplified to demonstrate relative levels of IFNa RNA in each cell line.

Experimental design, materials and methods

Peripheral blood cells and cell lines

Total peripheral blood mononuclear cells (PBMCs) were obtained via Ficoll purification, and were stained for the pan-B cell marker CD20 and intracellular ARID3a prior to analyses by flow cytometry, as previously described [1]. These data allowed subdivision of SLE samples into ARID3a high and ARID3a normal patient samples, such that ARID3aH SLE samples had numbers of ARID3a+ B cells >2 standard deviations above the average numbers of ARID3a+ B cells in healthy controls (>9830 ARID3a+ B cells/ml), versus ARID3aN (<9830 ARID3a+ B cells/ml), as defined previously [1]. B lymphocytes purified by flow cytometric sorting (>97% purity via post-sort analyses) were used immediately for RNA preparation in the case of SLE samples, or in the case of healthy control cells, were grown in complete RPMI media (RPMI 1640, 5×10−5 M β-mercaptoethanol, 100 U/ml penicillin, 100 µg/ml streptomycin, 2 mM glutamine and 1 mM sodium pyruvate) supplemented with 4% heat inactivated fetal bovine serum (FBS), with or without 5 µg/ml Class CpG oligonucleotide for 24 h, as previously described [4]. Epstein-Barr Virus (EBV)-transformed lymphoblastoid B cell lines (LCLs) were generated from 4 SLE patient samples and maintained in complete RPMI media.

Methyl-seq

To determine if increased expression of ARID3a within SLE patient samples was associated with alterations in DNA methylation, genomic DNA was isolated using standard phenol/Chloroform extraction protocols from total PBMCs obtained from each of two SLE patient samples characterized as ARID3aH and two independent SLE samples characterized as ARID3a low. DNA was fragmented on a Covaris S2 sonicator (Covaris, Woburn, MA) to an average size of ~350 bp in length and methylated DNA was isolated using the MethylMiner Methylated DNA Enrichment Kit (Life Technologies, Carlsbad, CA). Illumina sequencing libraries were prepared from each sample using the Illumina Truseq DNA LT Sample Prep Kit (Illumina, San Diego, CA) by the Genomics Core facility at Oklahoma Medical Research Foundation. Libraries were sequenced on an Illumina Hiseq 2000 instrument with paired-end 100 bp reads. Quality control metrics were assessed with Picard tools v. (https://broadinstitute.github.io/picard/). After sequencing, reads were aligned to the human reference genome hg19 using the aligner BWA-MEM [5] followed by local realignment around problematic indel sequences using the Genome Analysis Tool Kit (GATK) [6]. Genes with statistically significant methylation differences were defined using EpiCenter v. 1-6-1-8 [7]. Methylation differences were tested over promoters of the genes, defined as 2000 bp regions upstream of gene’ transcription start sites. The differentially methylated regions were visualized in the IGV integrative genomics viewer [8]. For visualization in the UCSC Genome Browser BigWig files were created from the final BAM files using a combination of BEDTools [9] and UCSC conversion utilities [10].

Biomark HD assays

Peripheral blood mononuclear cells were isolated from peripheral blood of 6 SLE patients and 2 healthy individuals, and were analyzed for ARID3a expression as described above by flow cytometry. B lymphocytes were enriched from the remaining PBMCs via negative selection using magnetic beads containing other lineage markers, and the remaining cells were stained with CD20 for fluorescence activated cell sorting (FACS) using a FACSAria II (BD Biosciences). Post-sort analyses revealed >98% CD20+ B lymphocytes. RNA was isolated, quantified and assessed for integrity using Agilent Total RNA Pico chips on the 2100 Bioanalyzer (Agilent Technologies, Boblingen, Germany). The DELTAgene assay designer was used for primer design for optimal performance on the Biomark HD system. Primer specificity was determined via melting curve analysis at 400 nM. cDNA preparation (Fluidigm preamp master mix, PM100-5580), amplification (Fluidigm, DELTAgene assay kit), qRT-PCR and analyses were all performed as previously described [11]. Data in Table 1, Table 2 are normalized to the housekeeping gene Hprt1. A list of primers for the genes assessed is given in Table 3.

IFNa analyses of EBV lines

For qRT-PCR, RNA was extracted using Tri-Reagent (MRC, Inc.) and chloroform:isoamyl alcohol 24:1 (Sigma), precipitated in isopropanol, and collected via centrifugation. cDNA was synthesized at 37 °C for 1 h with M-MLV reverse transcriptase (Promega) and random primers (Promega), and amplified for 40 cycles at 60 °C for 30 s, 72 °C for 1 min, and 95 °C for 30 s for IFNa (IFNA2, IFNA5, IFNA6, IFNA8, IFNA14, IFNA16) gene expression. Amplified products were electrophoresed through 2% agarose gel.
Subject areaImmunology
More specific subject areaSLE and ARID3a+B cells
Type of dataFigure, Tables, link
How data was acquiredElectrophoresis and BIOMARK HD
Data formatRaw, analyzed
Experimental factorsFACS-purified SLE and healthy B lymphocytes (+/- CpG-stimulation)
Experimental featuresDNA was isolated from ARID3aHand ARID3aNtotal PBMCs; RNA was extracted from LCLs, peripheral blood SLE B cells, and healthy control B cells with or without CpG-stimulation for 24 hours.
Data source locationOklahoma City, OK; USA
Data accessibilityData is available within this article and deposited in NCBI׳s Gene Expression Omnibushttp://www.ncbi.nlm.nih.gov/geo/ accessiblevia GEO series accession number: GEO:GSE84965
  11 in total

1.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

3.  Disease activity in systemic lupus erythematosus correlates with expression of the transcription factor AT-rich-interactive domain 3A.

Authors:  Julie M Ward; Kira Rose; Courtney Montgomery; Indra Adrianto; Judith A James; Joan T Merrill; Carol F Webb
Journal:  Arthritis Rheumatol       Date:  2014-12       Impact factor: 10.995

4.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

5.  BigWig and BigBed: enabling browsing of large distributed datasets.

Authors:  W J Kent; A S Zweig; G Barber; A S Hinrichs; D Karolchik
Journal:  Bioinformatics       Date:  2010-07-17       Impact factor: 6.937

6.  The Transcription Factor ARID3a Is Important for In Vitro Differentiation of Human Hematopoietic Progenitors.

Authors:  Michelle L Ratliff; Meenu Mishra; Mark B Frank; Joel M Guthridge; Carol F Webb
Journal:  J Immunol       Date:  2015-12-18       Impact factor: 5.422

7.  Integrative genomics viewer.

Authors:  James T Robinson; Helga Thorvaldsdóttir; Wendy Winckler; Mitchell Guttman; Eric S Lander; Gad Getz; Jill P Mesirov
Journal:  Nat Biotechnol       Date:  2011-01       Impact factor: 54.908

8.  Efficiently identifying genome-wide changes with next-generation sequencing data.

Authors:  Weichun Huang; David M Umbach; Nicole Vincent Jordan; Amy N Abell; Gary L Johnson; Leping Li
Journal:  Nucleic Acids Res       Date:  2011-07-29       Impact factor: 16.971

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  Human effector B lymphocytes express ARID3a and secrete interferon alpha.

Authors:  Julie M Ward; Michelle L Ratliff; Mikhail G Dozmorov; Graham Wiley; Joel M Guthridge; Patrick M Gaffney; Judith A James; Carol F Webb
Journal:  J Autoimmun       Date:  2016-08-10       Impact factor: 7.094

View more
  6 in total

1.  Effects of MYBPC3 loss-of-function mutations preceding hypertrophic cardiomyopathy.

Authors:  Adam S Helms; Vi T Tang; Thomas S O'Leary; Sabrina Friedline; Mick Wauchope; Akul Arora; Aaron H Wasserman; Eric D Smith; Lap Man Lee; Xiaoquan W Wen; Jordan A Shavit; Allen P Liu; Michael J Previs; Sharlene M Day
Journal:  JCI Insight       Date:  2020-01-30

2.  ARID3a gene profiles are strongly associated with human interferon alpha production.

Authors:  Michelle L Ratliff; Joshua Garton; Lori Garman; M David Barron; Constantin Georgescu; Kathryn A White; Eliza Chakravarty; Jonathan D Wren; Courtney G Montgomery; Judith A James; Carol F Webb
Journal:  J Autoimmun       Date:  2018-10-05       Impact factor: 7.094

Review 3.  New Frontiers: ARID3a in SLE.

Authors:  Joshua Garton; M David Barron; Michelle L Ratliff; Carol F Webb
Journal:  Cells       Date:  2019-09-24       Impact factor: 6.600

4.  ARID3a expression in human hematopoietic stem cells is associated with distinct gene patterns in aged individuals.

Authors:  Michelle L Ratliff; Joshua Garton; Judith A James; Carol F Webb
Journal:  Immun Ageing       Date:  2020-09-03       Impact factor: 6.400

5.  Low Expression and Clinical Value of hsa_circ_0049224 and has_circ_0049220 in Systemic Lupus Erythematous Patients.

Authors:  Chengzhong Zhang; Jie Huang; Yue Chen; Weimin Shi
Journal:  Med Sci Monit       Date:  2018-04-02

6.  TLR engagement induces ARID3a in human blood hematopoietic progenitors and modulates IFNα production.

Authors:  Michelle L Ratliff; Malini Shankar; Joel M Guthridge; Judith A James; Carol F Webb
Journal:  Cell Immunol       Date:  2020-09-09       Impact factor: 4.868

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.