Che Fai Alex Wong1, Liisa van Vliet2, Swapnil Vilas Bhujbal1, Chengzhi Guo2, Marit Sletmoen1, Bjørn Torger Stokke3, Florian Hollfelder2, Rahmi Lale1. 1. Department of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway. 2. Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom. 3. Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway.
Abstract
Water-in-oil emulsion droplets are an attractive format for ultrahigh-throughput screening in functional metagenomics and directed evolution applications that allow libraries with more than 107 members to be characterized in a day. Single library members are compartmentalized in droplets that are generated in microfluidic devices and tested for the presence of target biocatalysts. The target proteins can be produced intracellularly, for example, in bacterial hosts in-droplet cell lysis is therefore necessary to allow the enzymes to encounter the substrate to initiate an activity assay. Here, we present a titratable lysis-on-demand (LoD) system enabling the control of the cell lysis rate in Escherichia coli. We demonstrate that the rate of cell lysis can be controlled by adjusting the externally added inducer concentration. This LoD system is evaluated both at the population level (by optical density measurements) and at the single-cell level (on single-cell arrays and in alginate microbeads). Additionally, we validate the LoD system by droplet screening of a phosphotriesterase expressed from E. coli, with cell lysis triggered by inducer concentrations in the μM range. The LoD system yields sufficient release of the intracellularly produced enzymes to bring about a detectable quantity of product (measured by fluorescence in flow cytometry of double emulsions), while leaving viable cells for the downstream recovery of the genetic material.
Water-in-oil emulsion droplets are an attractive format for ultrahigh-throughput screening in functional metagenomics and directed evolution applications that allow libraries with more than 107 members to be characterized in a day. Single library members are compartmentalized in droplets that are generated in microfluidic devices and tested for the presence of target biocatalysts. The target proteins can be produced intracellularly, for example, in bacterial hosts in-droplet cell lysis is therefore necessary to allow the enzymes to encounter the substrate to initiate an activity assay. Here, we present a titratable lysis-on-demand (LoD) system enabling the control of the cell lysis rate in Escherichia coli. We demonstrate that the rate of cell lysis can be controlled by adjusting the externally added inducer concentration. This LoD system is evaluated both at the population level (by optical density measurements) and at the single-cell level (on single-cell arrays and in alginate microbeads). Additionally, we validate the LoD system by droplet screening of a phosphotriesterase expressed from E. coli, with cell lysis triggered by inducer concentrations in the μM range. The LoD system yields sufficient release of the intracellularly produced enzymes to bring about a detectable quantity of product (measured by fluorescence in flow cytometry of double emulsions), while leaving viable cells for the downstream recovery of the genetic material.
Enzymes are
biocatalysts that
work under varying environmental conditions ranging from mild to extreme.
Biotechnological processes can take advantage of such a broad capacity
of enzymatic catalysis to meet the goals of carbon neutrality, low
energy requirements, less toxic byproducts, and cost competitiveness.[1] However, currently only a fraction of the processes
could conceivably benefit from the large spectrum of biocatalysts,
since many enzymes in Nature’s repertoire have not been discovered
and/or utilized. Clearly, the potential of enzymes serving as green
alternative catalysts has to be realized to achieve and satisfy the
ambitions of a sustainable future economy.Harvesting the metagenome
enables us to sample Nature’s
unique repertoire of functional molecules. Modern metagenomic studies
are accelerated by DNA sequencing and high-throughput screening that
allow us to browse and discover the vast microbial diversity from
a wide range of environments. Within the field of metagenomics, two
main approaches exist: (i) in silico approaches,
to explore the DNA and/or protein sequences available in private/public
databases;[2] and (ii) functional metagenomics,[3] the experimental approach to screen for the presence
of an enzymatic reaction. In the latter, environmental DNA (eDNA)
from microbes[3] is collected and screened,
based on the hypothesis that the environment provides a vast array
of coded, useful functions that can be mined. While the diversity
of eDNA represents a largely hidden resource for the exploration of
this functional repertoire, the functional screening efforts introduce
a “needle in a haystack” challenge which results in
a typical low hit rate, with an estimate of around one hit per 104–105 variants.[4]The success of functional metagenomics depends on the quality
of
the functional assays carried out to identify novel enzymes. Previously,
expensive and time- and resource-demanding microtiter plate-based
assays (limited to the throughput of ∼104 per day,
even with liquid handling robots) were the methods of choice; however,
nowadays miniaturized droplet-based microfluidic methods are emerging.[5−7] Here the screening scale is in the picoliter droplet-range with
single-cell encapsulation—ensured via Poisson distribution—to
maintain a genotype-to-phenotype linkage.[5,8,9] In functional metagenomics, microbes serve
as living cell factories to transform the genetic information encoded
by eDNA into functional enzymes for screening. The model organism Escherichia coli is the typical workhorse of choice due
to the ease of handling and the availability of a wide range of genetic
tools. Using microfluidics as a platform for functional screening,
up to 108 reactions can be assayed per day, and sorted
at kHz frequencies followed by the recovery of the droplets containing
the hits.The recombinant proteins that are to be screened are
mostly produced
intracellularly. Therefore, breakdown of the cell barrier is necessary
to release the intracellular content to encounter the extracellularly
administered substrate. Traditional methods, such as mechanical,[10] electrochemical,[11] and thermal[12] cell lysis are well established
for the large-scale extraction of bioproducts. While the above-mentioned
crude approaches lead to efficient cell lysis (i.e., via the shearing
force, heat, or chemical reagents used), they also destabilize the
droplet compartment and possibly compromise product integrity. These
methods can be challenging to adapt into microfluidic settings. Instead,
several methods were developed to carry out cell lysis in cell-encapsulating
droplets, such as chemical,[5,13] electrical,[14] thermal,[15] or traveling
surface acoustic wave[16] intervention. Chemically
induced cell lysis is commonly used due to its convenience, but fine-tuning
the amounts of reagents needed can be hard. Furthermore, the detergents
contained in commercial cell lysis mixtures lead to the destabilization
of emulsion droplets. This destabilization can be mitigated by increasing
the concentration of stabilizing surfactant; however, higher surfactant
concentrations, in turn, lead to higher substrate leakage.[17]Owing to the presence of genotype–phenotype
linkage of the
droplet compartment, the “hits” from a functional screening
can be directly identified by PCR and subsequent DNA sequencing, as
demonstrated in earlier studies.[5,13] However, the diversity
of the resulting “hits” is likely to be restricted by
innate PCR-bias. Furthermore, due to inefficient recovery of DNA after
screening, this direct approach works best with high copy-number plasmids.
The use of low copy-number plasmid leads to low recovery and also
decreases the effective throughput due to the loss of clones that
are not recovered by PCR. Direct fosmid recovery by PCR is difficult
to achieve in practice. To address this potential loss in recovery,
it is preferable to obtain viable bacterial host cells for subsequent
culturing, from which the hit’s DNA construct can be obtained.
Furthermore, the recovered culture can be used immediately for secondary
screening, as reported in recent studies.[7,18] Ideally,
a lysis system for microdroplets should provide the user with a tunable
control to meet the demand from various assays and, at the same time,
enable recovery of survivor cells that can be subsequently isolated
for the downstream processes.In this study, we report the development
of a genetic system for
controlled lysis of E. coli cells in microfluidic
droplets, triggered by the addition of a small molecule activator.
Such a lysis-on-demand (LoD) system makes intracellular content accessible
within the droplets, so that an activity assay can be carried out
without jeopardizing the integrity of the droplet compartment. At
the same time, the titratable nature of an LoD system enables control
over the extent of lysis: leaving intact cells behind, which can then
be recovered after droplet sorting to obtain the genetic material.The LoD system is based on the enterobacteria phage T4 holin–endolysin
system.[19] A wide range of holin–endolysin
systems has been characterized and engineered previously, such as
the model phage λ[20] and phage ϕX174[21] accompanied by different inducible regulatory
systems providing a variety of signals for user choice, such as chemical,[22] UV,[23] and heat[24] (see Gao et al.[25] for a list of different designs). In this study, we used the BioBrick
part BBa_K112808 from the Registry of Standard Biological Parts.[26] The lysis cassette is composed of three coding
sequences for the proteins Holin, Endolysin and Antiholin (Figure ). The first protein,
Holin (monomer), accumulates and oligomerizes in the cytoplasmic (inner)
membrane which later forms pores through the membrane and allows the
second protein, Endolysin, to access and digest the peptidoglycan
cell wall layer (periplasm). Because of the weakening of the cell
wall, bacterial cell lysis occurs as a consequence of osmotic pressure
disrupting the outer membrane integrity. In the LoD system, the expression
of holin and endolysin is controlled
by the AraC-XylS transcription factor family member XylS/P system. The expression from the P promoter can be tightly regulated
as a function of the inducer molecule 3-methylbenzoic acid (meta-toluic acid, mTA).[27] The
third protein, Antiholin, dimerizes with Holin thus inhibiting the
hole-formation in the inner membrane which in turn prevents cell lysis
as the access of Endolysin to the periplasm would be blocked. Antiholin
is constitutively expressed in order to prevent cell lysis in the
uninduced state from any possible leaky expression.
Figure 1
Schematic representation
of the lysis cassette, cell lysis process,
and truth table. The constitutive promoters Ps2 and BBa_J23116 control
the expression of the transcription factor XylS and Antiholin, respectively.
The inducible P promoter
controls the expression of both holin and endolysin. The inducer, meta-toluic acid
(mTA), leads to a conformational change in the transcription factors,
XylS, and consequently activation of P. All four coding sequences are preceded with unique
5′ untranslated regions. The lysis cassette harbors
four transcription terminators: one in between the Ps2 and P promoters,
two terminators downstream of the endolysin, and
the fourth downstream of the antiholin coding sequences.
The truth table is presented below the lysis cassette.
Schematic representation
of the lysis cassette, cell lysis process,
and truth table. The constitutive promoters Ps2 and BBa_J23116 control
the expression of the transcription factor XylS and Antiholin, respectively.
The inducible P promoter
controls the expression of both holin and endolysin. The inducer, meta-toluic acid
(mTA), leads to a conformational change in the transcription factors,
XylS, and consequently activation of P. All four coding sequences are preceded with unique
5′ untranslated regions. The lysis cassette harbors
four transcription terminators: one in between the Ps2 and P promoters,
two terminators downstream of the endolysin, and
the fourth downstream of the antiholin coding sequences.
The truth table is presented below the lysis cassette.We assess the induction of cell lysis by three methods: first,
by spectrophotometric measurement of the total cell density at the
population level; second, by following immobilized single cells on
a microcontact printed (μCP) pattern (single-cell arrays) to
determine the number of live cells upon the induction of cell lysis;
and third, by following encapsulated single cells in alginate microbeads
(∼50 μm3) to demonstrate the cell lysis in
droplets. In addition, we validate the use of the LoD system in droplet
microfluidics with an assay for a model target enzyme, phosphotriesterase
(PTE), by demonstrating titratable intracellular enzyme release upon
induction.
Results
Construction of a Lysis-on-Demand System
For the development
of a LoD system, we used the enterobacteria phage T4 lysis device
from the Registry of Standard Biological Parts, BBa_K112808. The DNA
sequence of the lysis cassette was synthesized (GenScript Biotech
Corporation) and cloned into the plasmid pHH100-mCherry,[28] that harbors the XylS/P system (Figure ). The coding sequence of the wild type replication
protein, TrfA, was replaced by the variant trfA-cop271
to increase the copy number of the plasmid from ∼5 to ∼20
copies per chromosome/cell.[29]
Assessment of
Cell Lysis
Optical Density and Colony Forming Unit Measurements
E. coli DH10B cells, constitutively expressing a
chromosomally located green fluorescent protein (GFP) and harboring
the LoD system (E. coli-GFP-LoD), were grown until
they had reached the log phase and were induced with a range of inducer
concentrations (8–1000 μM mTA) to trigger the LoD system.
The OD600 changes were followed, as a proxy for cell count,
for 180 min (Figure ). A decrease in OD600 was observed and the rate of decrease
corresponded to the level of inducer concentration added. The percentages
of OD600 reduction at the time point 180 min were 12%,
19%, 24%, 31%, and 35% for the inducer concentrations 62, 125, 250,
500, and 1000 μM mTA, respectively. The OD600 for
the inducer concentrations 8 and 16 μM mTA was increasing over
time; however, both the rate of increase as well as the final OD600 at 180 min were lower than that of the uninduced control
sample, suggesting cell lysis despite the cell growth. The concentration-dependent
reduction in OD600 indicated that the cell lysis is titrable
and the amount of cell lysis can be controlled by adjusting the inducer
concentration.
Figure 2
Changes in the optical density (OD600) as a
function
of a range of inducer concentrations tested (8–1000 μM
mTA) to trigger the LoD system. The OD600 measurements
were performed with E. coli DH10B-GFP cells harboring
the LoD system. The OD600 changes were followed, as a proxy
for cell count, for 180 min. Error bars represent the 95% confidence
interval from triplicates.
Changes in the optical density (OD600) as a
function
of a range of inducer concentrations tested (8–1000 μM
mTA) to trigger the LoD system. The OD600 measurements
were performed with E. coli DH10B-GFP cells harboring
the LoD system. The OD600 changes were followed, as a proxy
for cell count, for 180 min. Error bars represent the 95% confidence
interval from triplicates.The colony forming units (CFUs) provide a direct assessment of
cell viability. The same range of inducer concentrations tested for
OD600 measurements (8–1000 μM mTA) were used
in assessing the CFU change over time upon induction of the LoD system. E. coli-GFP-LoD cells were sampled with 60 min interval
for 180 min and were plated on agar plates (Table ). After 180 min of induction, a decrease
in CFU counts was observed in all but the samples induced with 0,
8, and 16 μM mTA, and the amount of decrease roughly corresponded
to the concentration of inducer added. The percentage of survivors,
as determined by dividing the initial CFU counts over the final CFU,
were 27.8%, 3.1%, 1.2%, 1.5%, and 0.8% for the inducer concentrations
62, 125, 250, 500, and 1000 μM mTA, respectively. Similar to
the OD experiment (Figure ), an increase of CFU was observed in the two lowest inducer
concentrations, 8 and 16 μM mTA.
Table 1
Colony Forming Unit (CFU) Counts (per
mL) Change over Time of E. coli-GFP-LoD Cells Induced
with Various Inducer Concentrations (mTA). The CFU Counts Are Shown
as Mean and ± SD from Triplicate Experiments
inducer concn (μM)
0 min
60 min
120 min
180 min
0
(5.0 ± 3.6) 106
(2.4 ± 0.4) 107
(4.8 ± 1.9) 107
8
(3.1 ± 2.3) 106
(1.3 ± 1.0) 107
(4.3 ± 0.4) 107
16
(1.8 ± 1.9) 106
(1.2 ± 0.8) 107
(3.1 ± 0.7) 107
62
(1.5 ± 0.5) 105
(2.1 ± 0.2) 105
(1.2 ± 0.8) 105
125
(4.3 ± 1.3) 105
(2.6 ± 0.8) 105
(1.4 ± 0.4) 105
(1.3 ± 0.2) 104
250
(2.3 ± 0.9) 105
(4.3 ± 0.6) 104
(5.3 ± 1.5) 103
500
(2.9 ± 1.3) 105
(4.8 ± 1.0) 104
(6.6 ± 3.0) 103
1000
(2.9 ± 0.9) 105
(2.3 ± 0.7) 104
(3.5 ± 0.5) 103
Immobilized Single-Cell Counts
Log
phase E.
coli-GFP-LoD cells were immobilized on a μCP polyethylenimine
(PEI)-coated pattern (single-cell arrays) and characterized by time-lapse
fluorescence microscopy (Figure (1a); Figure S1). The number
of single cells were determined using the captured images at the specified
sampling time points (0 to 180 min with 30 min intervals), as detected
by the individual GFP signals. The loss of GFP/cell counts indicated
a cell death event due to the lysis of the immobilized cells, leading
to the release of the intracellular GFP into the background.
Figure 3
Schematic workflow describing the single-cell
measurements. Single E. coli-GFP-LoD cells were (1a)
immobilized on a μCP
PEI-coated pattern (single-cell arrays) and (1b) encapsulated in alginate
microbeads. (2) Both systems were induced with a range of inducer
concentrations (0, 125, 500, and 1000 μM mTA). (3) Single cells
were analyzed based on time-lapse fluorescence microscopy. Image analysis
was performed to quantify the rate of the cell lysis based on the
GFP intensity measurements from single cells on (4a) single-cell arrays
and (4b) encapsulated in alginate microbeads over 180 min under different
inducer concentrations. The analyzed microscopic images at the cross-marked
time-points (0 and 1000 μM at 60 min intervals) are displayed
in Figures S1 and S2.
Schematic workflow describing the single-cell
measurements. Single E. coli-GFP-LoD cells were (1a)
immobilized on a μCP
PEI-coated pattern (single-cell arrays) and (1b) encapsulated in alginate
microbeads. (2) Both systems were induced with a range of inducer
concentrations (0, 125, 500, and 1000 μM mTA). (3) Single cells
were analyzed based on time-lapse fluorescence microscopy. Image analysis
was performed to quantify the rate of the cell lysis based on the
GFP intensity measurements from single cells on (4a) single-cell arrays
and (4b) encapsulated in alginate microbeads over 180 min under different
inducer concentrations. The analyzed microscopic images at the cross-marked
time-points (0 and 1000 μM at 60 min intervals) are displayed
in Figures S1 and S2.The GFP expression values from the immobilized cells at the time
point 0 were recorded for each of the three inducer concentrations
tested. The relative percentage of the lysed cells (the disappearance
of the GFP signal) at different sampling time points were quantified
relative to the time point 0. After 180 min, the relative percentage
of the dead cells were 40%, 56%, and 64% for the inducer concentrations
125, 500, and 1000 μM mTA, respectively.
Encapsulated Cells in Alginate
Microbeads
Log phase E. coli-GFP-LoD cells
were encapsulated in alginate microbeads
and characterized by time-lapse fluorescence microscopy (Figure (1b)). The cell concentration
was adjusted to ensure that each microbead contained more than a single-cell.
In the three inducer concentrations tested, the final amount of cell
lysis at 180 min was similar to the levels obtained with the single-cell
arrays, at around 46%, 58%, and 62% for 125, 250, and 1000 μM
mTA, respectively. There were, however, a few differences observed
in comparison to the single-cell array results: first, the beginning
of lysis in the alginate microbeads was observed at 30 min rather
than at 15 min (Figures and 4a,b; Figure S2); second, the difference in the percentage of lysis observed between
the different inducer concentrations became less noticeable over the
course of 180 min. We speculate that this observed difference is due
to the lower growth observed for the cells encapsulated in alginate
microbeads as compared to those grown in batch or on single-cell arrays.
Figure 4
Measured
GFP in the supernatant upon induction of the LoD system.
Filtrated supernatant from E. coli-GFP cells with
(LoD) or without the LoD system (WT) were measured every 30 min. Error
bars represent the standard deviation from triplicates. The fluorescence
is given in arbitrary units (A.U.) A significance analysis was performed
for the samples WT 0 μM and LoD 1000 μM at the time points
150 and 180 min. Asterisks indicate the results of t tests, *P-value < 0.001; **P-value < 0.0003.
Measured
GFP in the supernatant upon induction of the LoD system.
Filtrated supernatant from E. coli-GFP cells with
(LoD) or without the LoD system (WT) were measured every 30 min. Error
bars represent the standard deviation from triplicates. The fluorescence
is given in arbitrary units (A.U.) A significance analysis was performed
for the samples WT 0 μM and LoD 1000 μM at the time points
150 and 180 min. Asterisks indicate the results of t tests, *P-value < 0.001; **P-value < 0.0003.
Assessment of Cell Lysis
by Fluorescent Protein Release Assay
To demonstrate the functionality
of the LoD system, the release
of the intracellularly produced GFP followed upon induction. E. coli-GFP-LoD cells were induced with different concentrations
of mTA, and GFP intensity measurements were carried out in the filtered
growth medium (Figure ) for 180 min with 30 min intervals. E. coli-GFP
cells without the LoD system, uninduced and induced (1000 μM
mTA), were used as negative controls. An increase of GFP readings
in the cell-free medium was already observable after 90 min of induction,
but statistically significant differences were only detected later
on, first at 150 min (1000 μM vs 0 μM, P-value < 0.001), and maintained further until the end (P-value < 0.0003), whereas the GFP readings in the negative
controls remained relatively stable.
Release of Phosphotriesterase
into Double-Emulsion Droplets
After demonstrating the GFP
release upon cell lysis, a workflow
for single-cell compartmentalization[30] and
lysis[13] was designed that allowed monitoring
of reaction turnover of a PTE, a representative hydrolase and a target
of functional metagenomic screens[5] (Figure ). To this end, water-in-oil
emulsion droplets were generated in a polydimethylsiloxane (PDMS)
device. Droplets were formed by break-off flow using an aqueous phase
containing E. coli cells constitutively expressing
PTE with (E. coli-PTE-LoD) and without the LoD system
(E. coli-PTE-WT), and a second aqueous phase containing
both the substrate and inducer, while the fluorous oil carrier phase
contained the surfactant. For ease of analysis, the single emulsion
droplets were directly re-emulsified in a second device to form water-in-oil-in-water
microdroplets (Figure S3), as these double-emulsions
are amenable to flow cytometric sorting.[6,7]
Figure 5
Workflow describing the
double-emulsion assay. (1) Fluorogenic
substrate (10 μM fluorescein didiethyl phosphotriester [FddEP]), E. coli-PTE-WT and E. coli-PTE-LoD cells,
and the inducer (0, 5, 10, and 125 μM mTA) were encapsulated
into a fluorinated oil and surfactant phase (0.5% fluorosurfactant-008
in HFE-7500) to generate 7 pL microfluidic droplets in a flow-focusing
device (channel width: 18 μm). (2) The emulsion was reinjected
into a second device to generate water–oil–water double
emulsion droplets that were (3) incubated (0, 30, 60, 90, and 120
min at 37 °C) to allow for induction of lysis and conversion
of the fluorogenic substrate into product as shown in the overlay
photograph. (4) For each time point, aliquots of the double emulsion
were analyzed by flow cytometry. The population of droplets was gated
on the side- and forward-scattering signals (SSC and FSC), as shown
in the SSC vs FSC plot, and analyzed to quantify the ratio of green
fluorescence signal between the two droplet populations: with and
without reaction product. Events with lower SSC signal were excluded
as they represent smaller oil droplets produced during the second
emulsion generation (visible in the photograph). The percentage of
droplets in the high fluorescence population was quantified over time
as a function of a variety of conditions E. coli-PTE-WT
and E. coli-PTE-LoD cells at different inducer concentrations)
to be explored.
Workflow describing the
double-emulsion assay. (1) Fluorogenic
substrate (10 μM fluorescein didiethyl phosphotriester [FddEP]), E. coli-PTE-WT and E. coli-PTE-LoD cells,
and the inducer (0, 5, 10, and 125 μM mTA) were encapsulated
into a fluorinated oil and surfactant phase (0.5% fluorosurfactant-008
in HFE-7500) to generate 7 pL microfluidic droplets in a flow-focusing
device (channel width: 18 μm). (2) The emulsion was reinjected
into a second device to generate water–oil–water double
emulsion droplets that were (3) incubated (0, 30, 60, 90, and 120
min at 37 °C) to allow for induction of lysis and conversion
of the fluorogenic substrate into product as shown in the overlay
photograph. (4) For each time point, aliquots of the double emulsion
were analyzed by flow cytometry. The population of droplets was gated
on the side- and forward-scattering signals (SSC and FSC), as shown
in the SSC vs FSC plot, and analyzed to quantify the ratio of green
fluorescence signal between the two droplet populations: with and
without reaction product. Events with lower SSC signal were excluded
as they represent smaller oil droplets produced during the second
emulsion generation (visible in the photograph). The percentage of
droplets in the high fluorescence population was quantified over time
as a function of a variety of conditions E. coli-PTE-WT
and E. coli-PTE-LoD cells at different inducer concentrations)
to be explored.When the double emulsion droplets
were analyzed (Figure a), a population with high
fluorescence could be detected among the droplets that were containing
the E. coli-PTE-LoD cells, saturating after the completion
of the enzymatic turnover (achieved by 60 min of incubation). While
the E. coli-PTE-LoD cells were induced with a range
of inducer concentrations (0, 5, 10, and 125 μM mTA), the control
cells (E. coli-PTE-WT) were induced with no (0 μM)
or 10 μM mTA. The fluorescence levels of the droplet populations
were measured over 120 min (Figure S5).
The proportion of droplets correlated to the envisaged Poisson distribution
(theoretically 22% droplets with single-cell occupancy), consistent
with a scenario in which all cells eventually lyse in the presence
of the inducer. Droplets containing E. coli-PTE-WT
cells did not show a significant population of high fluorescence droplets
suggesting that lysis occurs only in the presence of the LoD system. E. coli-PTE-LoD cells in the uninduced-state show a background
of weak, leaky expression that lead to a small amount of product turnover
with up to 5% of droplets containing the released product. This increased
to 10% of the droplet fraction turning over product in droplets containing
5 μM of mTA. In the presence of 10 μM and 125 μM
mTA a plateau of 14 ± 4% fluorescent droplets was observed (within
error and unavoidable losses compared to the theoretical fill), suggesting
that 10 μM is sufficient to fully lyse the cells (Figure a,b). Despite the use of such
a low inducer concentration the cell lysis is still titratable (Figure S6) with almost full lysis obtained at
10 μM of mTA. In addition, the coefficient of variation for
the fluorescent population (Figure S8)
does not vary much across inducer concentrations, suggesting that
the LoD system behaves uniformly across the droplets.
Figure 6
Flow cytometry analysis
of the double-emulsion droplets. Droplets
containing the E. coli-PTE-WT and E. coli-PTE-LoD cells with various concentrations of the inducer were incubated
at 37 °C and analyzed by flow cytometry. (a) The fluorescence
histograms for each condition show a second higher fluorescence population
(highlighted in a box) for the E. coli-PTE-LoD but
not for the E. coli-PTE-WT cells. (b) The percentage
of droplets above the main droplet population without fluorescence
over the time-course of the assay with the thresholds determined at
minima between the two populations for each condition. (c) The average
cell recovery from E. coli-PTE-LoD cells induced
with 0, 5, 10, and 125 μM mTA in colony forming units (CFU)
from 20 μL of droplets (diluted 100 times) incubated for 120
min. Error bars represent the standard deviation of three dilutions,
each in triplicate.
Flow cytometry analysis
of the double-emulsion droplets. Droplets
containing the E. coli-PTE-WT and E. coli-PTE-LoD cells with various concentrations of the inducer were incubated
at 37 °C and analyzed by flow cytometry. (a) The fluorescence
histograms for each condition show a second higher fluorescence population
(highlighted in a box) for the E. coli-PTE-LoD but
not for the E. coli-PTE-WT cells. (b) The percentage
of droplets above the main droplet population without fluorescence
over the time-course of the assay with the thresholds determined at
minima between the two populations for each condition. (c) The average
cell recovery from E. coli-PTE-LoD cells induced
with 0, 5, 10, and 125 μM mTA in colony forming units (CFU)
from 20 μL of droplets (diluted 100 times) incubated for 120
min. Error bars represent the standard deviation of three dilutions,
each in triplicate.
Recovery of Cells from
Droplets
The main objective
of functional metagenomic screening is to recover the genetic material
associated with the screened phenotype. While the recovery of high-copy
number plasmids in droplets is achievable,[31,32] it is challenging to recover low-copy number plasmids or larger
DNA constructs, such as fosmids and cosmids[7] from the cell lysates in droplets. As a remedy to this problem,
growing the recovered cells can ease and enhance the recovery of the
genetic material.Controlled cell lysis of a titratable nature
would therefore allow us to tune the amount of the enzyme available
in an assay reaction in droplets, while leaving intact cells behind
to be recovered after screening instead of relying on the spontaneous
lysis of cells.[7]Figure c shows that during the 120 min incubation
of the droplets, those containing 5 and 10 μM mTA not only resulted
in the recovery of E. coli-PTE-LoD cells but also
showed cell growth with an increase in CFU over time; by contrast,
in the droplets containing 125 μM mTA, the number of cells recovered
decreases over time, which implies cell death and complete lysis.
This correlates with decreasing growth (measured by OD600 and cell lysis measurements [Figures and 3]) and with the observation
of high fluorescence intensity of the droplets containing the E. coli-PTE-LoD cells induced with 125 μM mTA (Figure S7C).
Discussion
In
this study, controlled cell lysis with the LoD system was tested
with a wide range of methods and inducer concentrations spanning from
the maximal concentration at 1000 μM mTA in microcentrifuge
tubes, on single-cell arrays, and in alginate microbeads, to almost
two hundred-fold dilutions at 5 μM mTA in double emulsion droplets.
Intriguingly, the titratable nature of the LoD system could still
be observed at the low inducer concentrations in the 5–10 μM
range in the double emulsion droplets. The induction characteristics
of the XylS/Pm system at such low levels of inducer
concentrations have not been reported previously. While the low levels
of mTA (e.g., 10 μM) show no apparent effect in the bulk measurements,
droplet compartmentalization reveals cell lysis of a fraction of the
clones as a single-cell effect that is invisible in the population
level measurements (Figure ). The effects of low levels of inducer concentrations would
thus not be possible to capture without the use of microfluidics.
The induction of the LoD system is fast, as the rapid PTE reactions
can be detected already after 30 min of induction. Using LoD, we can
design precisely timed workflows that take account of cell growth
rates (to produce sufficient amounts of enzyme), the extent of lysis
(to preserve a sufficient number live cells for recovery), set up
a favorable ratio of the signal from the enzymatic reaction against
the background reactions (uncatalysed and cellular) and trigger enzyme
release at once (compared to much slower release of enzyme by spontaneous
lysis[7]).A key objective of the LoD
system is the controlled release of
the intracellular product, while leaving intact cells that can be
recovered and regrown after sorting. In the PTE assay, the enzymatic
signals were detected from 30 min onward without reduction in CFU
counts at the lowest inducer concentration tested (5 μM mTA).
In fact, after 120 min, the cell counts with 5 μM mTA induction
had gradually increased to a similar level as the uninduced control.
Since it is doubtful that the E. coli would be recoverable
if the peptidoglycan layer was degraded beyond repair, that is, as
a consequence of a bursting of cell due to osmotic pressure, it appears
that intracellular leakage of enzyme is occurring without cell death.
At such low inducer concentration, it is possible that the weakly
expressed Endolysin is insufficient to cause cells to burst, as the
peptidoglycan layer is known to be an active dynamic structure. However,
additional work is required to clarify the exact cell status. Regardless, E. coli cells are reliably recoverable, even when the LoD
system was induced with 125 μM mTA, despite lower CFU counts
obtained after 120 min compared to the samples induced with 10 μM
mTA.While we demonstrate the functionality of the LoD system
in E. coli, the most widely used bacterial host for
functional
screening, the system can also be adapted to other Gram-negative bacterial
hosts. Holin–Antiholin systems are known to be functional in
several Gram-negative bacteria, such as Halomonas campaniensis LS21[33] and Pseudomonas putida,[34] which would provide alternatives in
case heterologous expression in E. coli fails to
express the target biocatalysts. While the XylS/Pm system is known to work in multiple bacterial hosts[35] the induction requires the presence of a passively diffusing
inducer molecule. In future applications, a system that is not dependent
on an externally added molecule might be advantageous. For instance,
a simplified activation of cell lysis could be envisioned by the use
of optogenetics: the activation of cell lysis could be controlled
by a light-inducible promoter, not requiring the addition of an inducer,
which could potentially simplify the workflow of microfluidic s-based
screening yet maintain the benefit of tunability. Early versions of
a light-sensitive expression system such as EL222[36] had major drawbacks, such as low-fold changes between the
ON/OFF status; however, a recent study reports an engineered light
sensor system, RsLOV,[37] that can provide
highly tunable expression with levels comparable to the widely used
T7 expression system.The use of a LoD system will facilitate
future droplet screening
efforts compared to the current chemical lysis protocols. It is known
that surfactant components in lysis kits destabilize droplets[13] and they also lead to increased leakage of reaction
products from droplets.[17] Importantly,
the exact composition of commercial cell lysis kits are not available
in detail, making it difficult to mitigate their effects and safeguard
against batch-to-batch variations. Eliminating such complications
could enable longer incubation periods (to find enzymes with initially
low activity, for example, when a weak promiscuous activity is enhanced[38] or in metagenomic screening[5]). Chaotropic agents in lysis mixtures are also known to
adversely affect downstream assay performance,[39,40] and lysis regents can cause direct chemical damage to the microorganisms.[39]For droplet-compartmentalized experiments
that start with Poisson
distributed single cells and are followed by “monoclonal”
cell-growth in droplets[18], the concentration-dependent
modulation of cell lysis will provide a useful level of control. For
example, most droplet-based experiments employ high-copy number plasmids,
to improve the recovery of the genetic material. Now with the reported
LoD system, the rate of cell lysis can be controlled by adjusting
the inducer concentration to bring about a suitable proportion of
the lysed cells to detect the product and also capture the DNA sequence
from each of the selected target clones directly from the cells, without
an additional transformation step[5,13,41] that incurs loss of DNA.Droplet compartmentalization
of single genes followed by in vitro expression is
an alternative to protein production
by cells. A number of studies have successfully used this format for
directed evolution in polydisperse droplets[42] but an equivalent complete directed evolution experiment in monodisperse
droplets has only been reported recently.[43] Here the incompatibility of the DNA amplification, in vitro expression and assay condition, necessitates the establishment of
a relatively complex workflow with multiple picoinjections of reagents.
By using the LoD system described in this study, nonspecialist laboratories
without extensive microfluidic expertise can implement a simple workflow
with reduced complexity, using single compartmentalization in a standard
flow focusing device followed by a further emulsification prior to
flow cytometric sorting.[6,7] A dilution of E. coli-PTE-LoD in E. coli-PTE-WT (1:1000)
was screened (as previously described[5,13]) to mimic
a screening campaign (Figures S9 and S10), and confirmed that the LoD system works even in the context of
detecting rare events.A cell-based alternative to lysis protocols
are compartmentalized
display systems as shown by directed evolution studies using yeast[44] or bacterial[45] display.
However, not every enzyme is amenable to be displayed on the cell
surface and the number of the cell-displayed molecules may be considerably
lower than the amount of enzymes that can be produced intracellularly.
For example, E. coli has been shown to express well
above >105 enzyme molecules,[46] which can be increased by droplet cell growth,[18] while yeast display may be limited to 104 molecules
per cell.In conclusion, we establish a LoD system suitable
for microfluidic
ultrahigh-throughput metagenomic screening. The combined use of an
established lysis cassette and a sensitive expression system offers
a versatile control over cell lysis within droplets, still leaving
behind recoverable cells. Both factors of tight control and recovery
are currently lacking in the common alternative lysis methods. By
adjusting the inducer concentration, the user can control both the
amount and speed of cell lysis according to their different screening
condition needs. The simplistic design and the use of an inexpensive
passively diffusing inducer should allow this system to be readily
adaptable into existing microdroplet-based screening in functional
metagenomics, and also in directed protein evolution applications.
Experimental
Section
Bacterial Strains and Growth Conditions
Unless otherwise
stated all E. coli strains were grown in Lysogeny
Broth (LB) medium (10 g L–1 tryptone; 5 g L–1 yeast extract; 5 g L–1 NaCl) at
37 °C with shaking for overnight. The overnight culture was diluted
by a hundred-fold in fresh media, and returned to incubator until
the log phase was reached. When needed, antibiotics kanamycin and
carbenicillin were added to a final concentration of 50 μg mL–1. Chemically competent E. coli strain
DH5α was used for routine molecular cloning. To provide GFP
for microscopic monitoring, E. coli strain DH10B
genotype arsB::cat sfGFP (DH10B-GFP) which constitutively expresses
the superfolder (sf)GFP from its chromosome was used (a gift from
Dr. Joseph White). In brief, a chloramphenicol resistance sfGFP cassette
was recombined into an arsenic resistance gene, arsB, using lambda red recombination system. Lastly, it is important
to mention that freshly transformed cells should be used, since long-term
storage at −80 °C can impair the titratability of the
LoD system.The phosphotriesterase (PTE) gene was obtained in
its pET expression vector[47,48] prior to transformation
with LoD plasmid into E. coli BL21 (NEB) cells. Positive
LoD transformants harboring both expression constructs were selected
on LB agar plates supplemented with the LoD antibiotic cocktail (50
μg mL–1 carbenicillin and 50 μg mL–1 kanamycin). Selected LoD transformants were grown
in LB liquid medium with antibiotics (37 °C, shaking). PTE expression
was induced with 50 μg mL–1 of ZnCl2 at OD600 of 0.6. After 16 h of induction, cells were
harvested and washed twice with LB by centrifugation before dilution
to OD600 0.415 in 20% (v/v) Percoll (Sigma-Aldrich) to
prevent cell aggregation. Control cells harboring only pET-PTE were
selected and prepared by identical procedures other than using only
100 μg mL–1 of carbenicillin for antibiotic
selection.
Plasmid Construction
The enterobacterial
phage T4 lysis
device from Registry of Standard Biological Parts, BBa_K112808, was
synthesized (GeneScript) and cloned into the plasmid pHH100-mCherry[28] using the restriction enzymes NdeI and BamHI. To increase the plasmid copy numbers, the coding
sequence of the replication protein, TrfA, was substituted with the trfA-cop271 variant.[29] This cloning
was done using restriction enzymes BamHI and PvUII,
creating the plasmid pHH-eT4LoD-cop271 (LoD).
Bacterial Lysis Measurements
To determine the effect
of the LoD system, the amount of bacterial lysis under different inducer
concentrations was measured in four ways: (1) The changes of optical
density at 600 nm (OD600), (2) the count of individual
immobilized bacterial cells on single-cell arrays, (3) the count of
encapsulated bacteria in alginate microbeads, and (4) the released
amount of intracellularly produced GFP into the supernatant. All the
above experiments were carried out with cultures in the log phase.To measure the changes of OD600, E. coli cells DH10B-GFP with plasmid pHH-eT4LoD-cop271 was inoculated in
5 mL of LB overnight. The culture was diluted a hundred-fold in 20
mL of LB with kanamycin in an Erlenmeyer flask and grown for 3 h to
reach the log phase. From the log phase culture, 99 μL of cells
were aliquoted to a flat-bottom microtiter plate (Thermo Fisher Scientific)
and 1 μL of corresponding inducer was added. In total, eight
different concentrations of the inducer were tested (0, 8, 16, 62,
125, 250, 500, and 1000 μM mTA). A blank well with 100 μL
of LB was included for accounting the background, and all the inducer
concentrations were tested in biological triplicates. The OD600 of the cultures was measured without the plate lid in a Tecan infinite
M2000 Pro (Tecan Life Sciences) at 37 °C with the following setting:
linear shaking (15 s, 3 mm amplitude), 5 s waiting time, and absorbance
reading at OD600 at every 30 min for 180 min.To
measure the amount of intracellular GFP release into the supernatant,
log phase E. coli culture was aliquoted for the different
inducer concentrations. To induce, 100 μL of the inducer stocks
(100×) was added to each of the 10 mL aliquoted cultures. After
aliquoting, the cultures were returned to 37 °C incubator with
shaking. At every 30 min after induction, 1 mL of cultures was collected
from each sample and was centrifuged at maximum speed for 1 min in
a benchtop centrifuge. To ensure the measured GFP signal is due to
the released proteins rather than from residual bacteria, the supernatant
was collected and syringe filtered via 0.2 μm pore size membrane
(Merck). A 100 μL aliquot of the filtrate was transferred to
a flat-bottom Black/Clear 96 wells microtiter plate (Thermo Fisher
Scientific), and the amount of GFP intensity was measured with the
plate reader Tecan infinite M2000 Pro (Tecan Life Sciences) using
the following setting: 488 nm excitation, 530 nm emission, and a manual
gain of 90. A control with E. coli cells not harboring
the LoD system was included and the experiment was carried out in
biological triplicate. Student’s t test was
performed using the GFP values to detect a significant difference
between induced and uninduced samples.
Design and Fabrication
of Bacterial Single-Cell Array Stamps
and Microfluidic Devices
The bacterial single-cell array
stamps for 7 μm square features separated with 14 μm,
and microfluidics chip with three inlet and one outlet with a junction
diameter of 30 μm were designed in a layout editor software
(CleWin, version 4.3.5.0). The microfluidic devices used for the droplet
assays were designed by CAD (AutoCAD, Autodesk and DraftSight, Dassault
Systemes): A microfluidic device design with a flow focusing junction
of 24 μm (height and width) was used with three inlets for droplet
generation and a flow focusing junction of 18 μm with two inlets
for the double emulsion, as shown in Figure S4. The designs for these devices are freely available to download
as CAD-compatible or PNG files from the DropBase Repository of droplet
microfluidic device design. The stamp design was replicated to form
a single-cell array of nine times repeating 20 × 20 spots. The
stamps and microfluidic devices were fabricated by standard maskless
soft lithography using a 4 in. silicon wafer. Briefly, the wafer was
first washed with acetone followed by isopropyl alcohol (IPA) and
finally dried using nitrogen gas. The dried wafer was ozone treated
(Novascan) for 3 min, followed by a dehydration bake at 180 °C
for 20 min. The dehydrated wafers were spin coated for 33 s at 3000
rpm using negative photoresists mr-DWL5 for a bacterial array and
mr-DWL40 for a microfluidics device (Microresist Technology GmbH,
Germany). Soft baking of the resist was done by gradually increasing
the temperature of the hot plate from 50 to 90 °C. The mr-DWL5
resist was baked for 2 min while the mr-DWL40 was baked for 10 min.
The soft-baked resists were gradually cooled on the hot plate by decreasing
the temperature to 50 °C, followed by relaxation time of 10 min
for mr-DWL5 and 1 h for mr-DWL40 at room temperature. The resist was
exposed to UV light (UV 405 nm) using a maskless aligner (Maskless
Aligner 150, Heidelberg Instruments, Germany) to directly transfer
the design on the resists. The exposure energy was set to 400 mJ cm–2 for mr-DWL5 and 500 mJ cm–2 for
mr-DWL40. The postexposure bake was carried out using an approach
that was similar to the one used for the soft bake. Relaxation time
after the postexposure bake was set to 1 h for mr-DWL5 and 2 h for
mr-DWL40 at room temperature. The resist was developed using mr-Dev
600 (Micro Resist Technology GmbH, Germany). The developer was left
2 min for mr-DWL5 and 6 min for mr-DWL40 using constant stirring.
The developed wafers were thoroughly washed in IPA and dried using
nitrogen gas. The master molds for the PTE assay and cell recovery
from droplets were produced via the soft-lithography method[49] using high-resolution acetate masks (Microlithography
Services Ltd.) and SU-8-2025 photoresist (A-Gas Electronic Materials
Ltd.) as previously described.[6,7,50] The wafers with the developed master molds were then treated with
fluorosilane (1H,1H,2H,2H-perfluorooctyl(trichlorosilane)) for 1 h in
a vacuum chamber to avoid adhesion of PDMS (Dow Corning). PDMS with
10 wt % initiator (Sylgard 184 kit, Dow Corning) was thoroughly mixed
for 5 min and degassed for 20 min. The degassed PDMS was casted onto
the silanized wafers in a Petri dish and baked (3 to 12 h, 65 °C).
The PDMS was subsequently peeled off and used for μCP and microfluidic
devices. The PDMS microfluidic devices were punched to create 1 mm
diameter holes to enable connection of plastic tubes at the inlets
and outlets. The feature side of the PDMS microfluidics devices were
plasma treated using a plasma cleaner (20 s, Femto, Diener Electronics)
and bonded to glass slides. The bonded PDMS microfluidic devices were
baked for 24 h at room temperature, and prior to the alginate cell
encapsulation, they were treated with 1% (v/v) of fluorosilane in
hydrofluoroether (HFE7500, 3M, Novachem, 5 min). The oil was removed
by blow drying with nitrogen gas. The devices for the droplet assay
were treated directly after plasma bonding. The triple–inlet
chips were flushed with fluorinatedoil (1% v/v in HFE-7500, 3M, Fluorochem)
to confer a hydrophobic coating to the channels and baked on a hot
plate (80 °C, 20 min). A hydrophilic coating was added to the
two-inlet devices used to generate the second or water-in-oil-in-water
emulsions, as previously reported.[6,51] Briefly, immediately
after plasma bonding, the devices were incubated on a hot plate (100
°C, 10 min). The devices were then flushed in sequence with poly(diallyldimethylammonium
chloride) in 0.5 M NaCl (PDADMAC, Sigma, 2 mg mL–1, 10 min), 0.1 M NaCl to rinse, poly(styrenesulfonate) in 0.5 M NaCl
(PSS, Sigma, 2 mg mL–1, 10 min) and rinsed with
DI water. The devices were stored in a sealed and water-saturated
box until use.
On Chip Alginate Cell Encapsulation via Competitive
Ligand Exchange
Cross-Linking
Alginate gel microbeads were produced on chip
using competitive ligand exchange cross-linking (CLEX) method implemented
in microfluidic chips as previously described.[52,53] Briefly, two dispersed phases were used: (1) 0.6% (wt) alginate
(Pronova UP LVM, FMC Biopolymer AS, Norway) containing 84 mM CaEDTA
and 40 mM MOPS at pH 6.7 and (2) 0.6%(wt) alginate containing 84 mM
ZnEDDA and 40 mM MOPS at pH 6.7 with cells. The two dispersed phases
met in a coflow region in the microfluidic channels prior to droplet
formation in the flow-focusing region. The flow rates were set to
650 μL h–1 for the continuous phase (Pico-Surf,
Sphere Fluidics) and 50 μL h–1 for both dispersed
phases by controlled injection using BD plastic syringes mounted on
syringe pumps (Harvard Apparatus, PHD ULTRA). We injected cells in
the first dispersed phase that was continuously stirred using a small
magnet in the syringe to avoid cell sedimentation. The gel beads were
recovered from the collected alginate bead emulsions following destabilization
of the emulsion (Pico-Break1, Sphere Fluidics) and then transferred
to cell culture media until further use for μCP.
Immobilization
of E. coli Cells on Single-Cell
Arrays and in Alginate Microbeads
To obtain an array of single
cells, cytophilic chemical PEI (Mw 750.000 by LS, 50 wt % in H2O, Sigma-Aldrich) was deposited using μCP onto glass
slides precoated with cytophobic chemicals, as previously described.[54] Micrometer-sized patterned spots were introduced
through μCP based deposition of PEI on glass surfaces passivated
through coating with the cytophobic chemical PEG. The surface modifications
were carried out as follows: Wilco dishes were first assembled according
to the specification by the manufacturer (WillCo Wells B.V.). The
glass slides were rinsed with 70% ethanol followed by Milli-Q water
and blow-dried with nitrogen gas. The glass slides were covered with
a solution containing PLL (20 kDa)-g-PEG (2 kDa)
0.1 mg mL–1 dissolved in 10 mM HEPES, pH 7.4, for
60 min. The slides were subsequently rinsed in Milli-Q water and dried
with nitrogen gas. PDMS stamps and the procedure described in the
following were used to introduce patterns of PEI. PDMS stamps were
incubated with aqueous 1 wt % PEI for 60 min at room temperature.
The stamps were then blow dried using a stream of nitrogen gas and
placed pattern-side down on the PEGylated glass slides for 60 min
with a 100 g weight on top. The PDMS stamps were then carefully removed
from the glass surface, leaving the PEI surface spots arranged in
an array as dictated by the design structured in the PDMS stamp. The
arrayed surface was immediately covered with 200 μL of dispersed
log phase (OD600 < 0.3) E. coli cells
or E. coli cells encapsulated in alginate microbeads
for 10 and 20 min, respectively. Unattached bacteria or alginate microbeads
were removed from the bacterial array by gentle flushing with LB medium.
The arrayed surface was immediately covered with culture medium and
imaged using fluorescence microscopy at room temperature.
Fluorescence
Microscopy and Image Processing
An inverted
microscope (Axio Observer.Z1 from Zeiss, 2.3.64.0) with 20× air
objective (NA 0.8) was used for image acquisition. A GFP filter was
used when inspecting the viability of the immobilized single cells
and cells encapsulated in alginate microbeads. Both immobilized single
cells and cells encapsulated in alginate microbeads were imaged in
time series for 180 min with an interval of 15 min. In addition to
time series, cells were also imaged in the Z axis.
The Z stack of the entire cells and alginate encapsulated
cells were obtained using 1 and 5 μm intervals, respectively,
between the subsequent images. Image processing was performed using
the Zeiss image analysis software (2.3.64.0). In brief, the multichannel
images were first inspected with the bright field channel for focus,
followed by the florescence count using the software’s “Image
Analysis Wizard” using the GFP channel. The number of individual
GFP regions represent the cell numbers, and the data were exported
to Excel for the cell death calculation given in percentage. A step-by-step
walk-through in the software can be found from the ZEISS’s
ZEN 2 (blue edition) protocol (example 9.2, Counting number of fluorescence
signals per nuclei).
Microfluidic Phosphotriesterase Droplet Assay
Generation
of First and Second Emulsion
Single cells
were encapsulated into 7 pL droplets by mixing the cells suspension
1:1: on chip (three-inlet device) with an inducer-substrate solution
(10 μM FddEP,[5,55] mTA (final concentrations of
0, 5, 10, 15, and 125 μM), 50 μg mL–1 carbenicillin and 50 μg mL–1 kanamycin in
LB) to a final OD600 of 0.208. As previously described,[7] the aqueous phase from two aqueous flows was
encapsulated into a fluorous oil phase (HFE-7500 (3M), 0.5% Fluoro-surfactant
008, (RAN biotechnology), 1.8 kHz) following a Poisson distribution
with an expectation value λ of 0.29 (resulting in theoretically
75% of empty droplets, 22% with single cells, and 3% with multiple
cells. The droplets were collected for around 40 min (approximately
4.5 million droplets) in a 1.5 mL Eppendorf tube on ice. For the second
compartmentalization, the droplets were aspirated from the Eppendorf
tube into oil-filled tubing and reinjected into a second microfluidic
device to produce double-emulsions in an aqueous carrier phase (2%
Tween 80, 100 mM Tris-HCl, pH 8.2) as water/oil/water compartments
(see Figure S4) for approximately 30 min
until all single emulsions aspirated into the tubing were re-emulsified.
Double-emulsions for each inducer concentration were produced separately
and collected on ice. The droplets were then incubated at 37 °C.
Measurement and Analysis
At each time point, 20 μL
of emulsion were pipetted out and added to a well of a U-bottomed
96-well plate with 150 μL of buffer (1% Tween 80, 100 mM Tris,
pH 8.2, 20% OptiPrep (Density Gradient Medium, Sigma-Aldrich)). The
fluorescence of the double-emulsions was measured by flow cytometry
(Guava EasyCyte, Merck-Milipore) and analyzed to obtain the graphs
in Figure a (FlowJo,
BD) and the percentage of droplets above the green fluorescence threshold
of 200–800 RFU (Flowing Software, Opensource by Perttu Terho),
determined at the minimum between the nonfluorescence droplet and
fluorescent droplet populations, as these varied slightly for each
condition (boxed area of Figure a i.e., 125 μM mTA has much higher background
than 0 and 5 μM mTA).
Cell Recovery Assay
The first emulsions were generated
as described above and incubated (37 °C). At each time point,
20 μL of the emulsion was de-emulsified into recovery medium
(20 μL of perfluoro-octanol [PFO], 100 μL of SOC [20 g
L–1 tryptone; 5 g L–1 yeast extract;
2 mL of 5 M NaCl; 2.5 mL of 1 M KCl; 10 mL of 1 M MgCl2; 10 mL of 1 M MgSO4; 20 mL of 1 M glucose]). A 90 μL
aliquot of this mixture was added to 810 μL of recovery medium
for plating. This solution was used for further serial dilutions and
spotting (10 μL, in triplicate) on kanamycin/carbenicillin agar
plates (Figure S7). After spotting, the
plates were left to air-dry (at room temperature, 10 min) before incubation
(37 °C, overnight). The agar plates were imaged, and the colony
forming units for each spot were counted and analyzed (Excel, MSOffice)
to determine the average CFU for the from the readable 1:100, 1:1000,
and 1:10 000 serial dilution spots.
Authors: A Huebner; M Srisa-Art; D Holt; C Abell; F Hollfelder; A J deMello; J B Edel Journal: Chem Commun (Camb) Date: 2007-01-26 Impact factor: 6.222
Authors: Jeremy J Agresti; Eugene Antipov; Adam R Abate; Keunho Ahn; Amy C Rowat; Jean-Christophe Baret; Manuel Marquez; Alexander M Klibanov; Andrew D Griffiths; David A Weitz Journal: Proc Natl Acad Sci U S A Date: 2010-02-08 Impact factor: 11.205
Authors: María Gimeno-Pérez; James D Finnigan; Coro Echeverria; Simon J Charnock; Aurelio Hidalgo; Diana M Mate Journal: ChemSusChem Date: 2022-04-19 Impact factor: 9.140