Stringency Of Selection Research Articles

In Vitro Aptamer Selection and Evolution using an Engineered Dual-Ribozyme Complex

Small-molecule aptamers are composed of RNA or DNA sequences with intricate secondary and tertiary structure allowing them to perform many functions, including ligand binding and catalytic events. Aptamers are selected from a library of random nucleic acids against a specific target. The binding sequences are amplified and fed back into the process for subsequent rounds of selection and amplification. This is a well-described technology called Systematic Evolution of Ligands by Exponential Enrichment (SELEX). We propose a novel SELEX method to characterize and screen new RNA aptamers using existing aptamers and randomization of a stem-loop sequence in the canonical type-I hammerhead ribozyme. As opposed to other reported techniques, we hypothesize that ours will allow for rapid and efficient selection of small-molecule ligands in solution and extended to an easy model for expression of these aptamers in vivo. This method reduces the number of selection rounds required, potentially selecting viable aptamers within one round. Our method utilizes a binary aptamer binding event in which a randomized sequence is placed in a stem of the hammerhead ribozyme. When the random sequence binds a ligand, it initiates cleavage of the ribozyme and a second “selecting” aptamer folds. The selecting aptamer binds to beads in a column, and the desired aptamers can be eluted after subsequent washes to remove non- and low-specificity binders. Further rounds could increase stringency of selection by means of decreased ligand concentration or increased competing ligands. Advantages of this system are manifested in time saved and resources conserved. Additionally, since our ligands are not immobilized on beads nor is any substrate required for capturing the sequences once selected, more available moieties for binding will be made available and new aptamers more readily discovered.

B Cell Receptor and CD40 Signaling Are Rewired for Synergistic Induction of the c-Myc Transcription Factor in Germinal Center B Cells

Positive selection of germinal center (GC) B cells is driven by B cell receptor (BCR) affinity and requires help from follicular T helper cells. The transcription factors c-Myc and Foxo1 are critical for GC B cell selection and survival. However, how different affinity-related signaling events control these transcription factors in a manner that links to selection is unknown. Here we showed that GC B cells reprogram CD40 and BCR signaling to transduce via NF-κB and Foxo1, respectively, whereas naive B cells propagate both signals downstream of either receptor. Although either BCR or CD40 ligation induced c-Myc in naive B cells, both signals were required to highly induce c-Myc, a critical mediator of GC B cell survival and cell cycle reentry. Thus, GC B cells rewire their signaling to enhance selection stringency via a requirement for both antigen receptor- and Tcell-mediated signals to induce mediators of positive selection.

An IRES-Mediated Tricistronic Vector for Efficient Generation of Stable, High-Level Monoclonal Antibody Producing CHO DG44 Cell Lines.

The generation of stable, high-level monoclonal antibody (mAb) producing cell lines remains a major challenge in biopharmaceutical industry. The commonly used plasmid vectors for mAb expression, which express light chain (LC), heavy chain (HC), and selection marker genes on separate vectors or via multiple promoters on a single vector, are not able to accurately control the ratio of LC over HC expression and tend to result in non-expressing clones. To overcome these issues, we have developed a tricistronic vector using two internal ribosome entry sites (IRES) to express the LC, HC, and dihydrofolate reductase (DHFR) selection marker genes in one transcript. In this tricistronic vector, the three genes are under the control of a hapten-modified human cytomegalovirus (hCMV) promoter containing a core CpG island element (IE) to enhance the production stability. The LC gene is arranged as the first cistron followed by a wild-type IRES to control the HC expression. Such design expresses excess LC polypeptides which enhance mAb expression level and reduce aggregate. A mutated IRES with attenuated strength is applied on DHFR to reduce its expression for enhancing the stringency of selection for high producers. This vector allows easy generation of stable, high mAb producing CHO DG44 pools and clones for antibody development and manufacturing.

To Give an Insight into Financial Crisis from Corporate Governance

Discussion about corporate governance (CG) mostly centers on corporate performance or the function of the board of directors. In this study, we incorporate external monitoring mechanisms into the analysis of CG to establish a comprehensive set of CG mechanisms. We then combine these mechanisms with financial crises (FCs) to elucidate (1) whether fulfilling CG reduces the risk of an FC when all other factors are controlled and (2) whether poor CG compromises subsequent company operations and causes an FC. In this study, we analyze companies listed on the Taiwan Stock Exchange between 2003 and 2010 except for financial/securities companies. The empirical results show that conventional director and supervisor functions and external monitoring mechanisms influence the 3-year likeliness of an FC. For director and supervisor functions, the 3-year likeliness of an FC simultaneously increases with board size, share pledge ratio of directors and supervisors, and deviation from stock pledge responsibilities of directors and supervisors. For external monitoring mechanisms, the 3-year likeliness of an FC simultaneously increases with a decrease in information disclosure and accountant selection stringency. Moreover, the likeliness of an FC increases once a specific portion of board seats is occupied by independent directors and supervisors. In companies with a chairperson or chief executive officer, the risk of an FC simultaneously decreases with an increase in the shareholding ratio of the chairperson due to the coexistence of interest. Finally, we conduct a subsequent analysis to identify the common predictors in each year of the 3-year research period and adjust the scope of research to reinforce our argument that CG is the cause of FCs.

Optimized Selection Marker and CHO Host Cell Combinations for Generating High Monoclonal Antibody Producing Cell Lines.

There are several selection markers which are suitable for generating stably transfected Chinese hamster ovary (CHO) cell lines. Due to their different modes of action, each selection marker has its own optimal selection stringency in different host cells for obtaining high productivity. Using an internal ribosome entry site (IRES)-mediated tricistronic vector and a set of IRES variants with different strengths, the expression of five antibiotics resistance genes (ARGs) in CHO-K1 cells and dihydrofolate reductase (DHFR) in CHO DG44 cells is optimized to enhance the stringency of selection for high producing cells. There is an obvious optimal expression level for every selection marker, below or above which, the productivity is significantly lower. The enhanced productivity in ARG generated CHO K1 cells is due to selective integration of active site while the enhanced productivity in the amplified CHO DG44 cells results from increased gene copies. The high producing CHO K1 pools and clones generated using ARG exhibit better production stability than the amplified high producing CHO DG44 pools and clones. Loss of expression for the CHO K1 cell lines is due to loss of gene copies while for CHO DG44 is due to transcriptional silencing. mAb glycan profile also differed significantly between CHO K1 and CHO DG44 cell lines. These results would be helpful when developing optimized vectors for generating high mAb producing CHO cell lines.

Phydms: software for phylogenetic analyses informed by deep mutational scanning.

It has recently become possible to experimentally measure the effects of all amino-acid point mutations to proteins using deep mutational scanning. These experimental measurements can inform site-specific phylogenetic substitution models of gene evolution in nature. Here we describe software that efficiently performs analyses with such substitution models. This software, phydms, can be used to compare the results of deep mutational scanning experiments to the selection on genes in nature. Given a phylogenetic tree topology inferred with another program, phydms enables rigorous comparison of how well different experiments on the same gene capture actual natural selection. It also enables re-scaling of deep mutational scanning data to account for differences in the stringency of selection in the lab and nature. Finally, phydms can identify sites that are evolving differently in nature than expected from experiments in the lab. As data from deep mutational scanning experiments become increasingly widespread, phydms will facilitate quantitative comparison of the experimental results to the actual selection pressures shaping evolution in nature.

Lis1 Regulates Germinal Center B Cell Antigen Acquisition and Affinity Maturation.

The germinal center (GC) is the site where activated B cells undergo rapid expansions, somatic hypermutation, and affinity maturation. Affinity maturation is a process of Ag-driven selection. The amount of Ag acquired and displayed by GC B cells determines whether it can be positively selected, and therefore Ag acquisition has to be tightly regulated to ensure the efficient affinity maturation. Cell expansion provides sufficient quantity of GC B cells and Abs, whereas affinity maturation improves the quality of Abs. In this study, we found that Lis1 is a cell-intrinsic regulator of Ag acquisition capability of GC B cells. Lack of Lis1 resulted in redistribution of polymerized actin and accumulation of F-actin at uropod; larger amounts of Ags were acquired and displayed by GC B cells, which presumably reduced the selection stringency. Affinity maturation was thus compromised in Lis1-deficient mice. Consistently, overexpression of Lis1 in GC B cells led to less Ag acquisition and display. Additionally, Lis1 is required for GC B cell expansion, and Lis1 deficiency blocked the cell cycle at the mitotic phase and GC B cells were prone to apoptosis. Overall, we suggest that Lis1 is required for GC B cell expansion, affinity maturation, and maintaining functional intact GC response, thus ensuring both the quantity and quality of Ab response.

EIF1 modulates the recognition of suboptimal translation initiation sites and steers gene expression via uORFs.

Alternative translation initiation mechanisms such as leaky scanning and reinitiation potentiate the polycistronic nature of human transcripts. By allowing for reprogrammed translation, these mechanisms can mediate biological responses to stimuli. We combined proteomics with ribosome profiling and mRNA sequencing to identify the biological targets of translation control triggered by the eukaryotic translation initiation factor 1 (eIF1), a protein implicated in the stringency of start codon selection. We quantified expression changes of over 4000 proteins and 10 000 actively translated transcripts, leading to the identification of 245 transcripts undergoing translational control mediated by upstream open reading frames (uORFs) upon eIF1 deprivation. Here, the stringency of start codon selection and preference for an optimal nucleotide context were largely diminished leading to translational upregulation of uORFs with suboptimal start. Interestingly, genes affected by eIF1 deprivation were implicated in energy production and sensing of metabolic stress.

CombiROC: an interactive web tool for selecting accurate marker combinations of omics data

Diagnostic accuracy can be improved considerably by combining multiple markers, whose performance in identifying diseased subjects is usually assessed via receiver operating characteristic (ROC) curves. The selection of multimarker signatures is a complicated process that requires integration of data signatures with sophisticated statistical methods. We developed a user-friendly tool, called CombiROC, to help researchers accurately determine optimal markers combinations from diverse omics methods. With CombiROC data from different domains, such as proteomics and transcriptomics, can be analyzed using sensitivity/specificity filters: the number of candidate marker panels rising from combinatorial analysis is easily optimized bypassing limitations imposed by the nature of different experimental approaches. Leaving to the user full control on initial selection stringency, CombiROC computes sensitivity and specificity for all markers combinations, performances of best combinations and ROC curves for automatic comparisons, all visualized in a graphic interface. CombiROC was designed without hard-coded thresholds, allowing a custom fit to each specific data: this dramatically reduces the computational burden and lowers the false negative rates given by fixed thresholds. The application was validated with published data, confirming the marker combination already originally described or even finding new ones. CombiROC is a novel tool for the scientific community freely available at http://CombiROC.eu.

141. A Screening Platform for Generating Cas9 Mutants with Improved Function

CRISPR-Cas systems, RNA-guided endonucleases (RGENs), have been utilized for gene editing in a multitude of organisms. The robust editing ability of these nucleases promises to deliver novel therapeutics. CRISPR-derived therapeutics will benefit from performance enhancing modifications made to the system such as improved nuclease activity. We developed an in vivo plasmid-cleavage-based screening platform with the ability to screen libraries of Cas9 mutants for improved function. Expression of Cas9 is controlled by a titratable promoter which provides the ability to modulate the stringency of selection. The selection system has the ability to select for both the cleavage of a specific substrate or the inability to cleave a similar, inaccurate target. Together these parameters provide a flexible platform for screening and discovery of Cas9 or alternate RGEN variants with improved endonuclease characteristics. Optimization of Cas9, other CRISPR-associated proteins, and their system components will facilitate adaptation of these technologies into powerful precision research tools with the potential to transform clinical therapeutics.

Screening and Identification of DNA Aptamers to Tyramine Using in Vitro Selection and High-Throughput Sequencing.

Aptamers are synthetic single-stranded DNA or RNA sequences that can fold into tertiary structures allowing them to interact with and bind to targets with high affinity and specificity. This paper describes the first selection and identification of DNA aptamers able to recognize the biogenic amine tyramine. To successfully isolate aptamers to this challenging small molecule target, the SELEX methodology was adapted by combining a systematic strategy to increase the selection stringency and monitor enrichment success. As the benefits of applying high-throughput sequencing (HTS) in SELEX experiments is becoming more clear, this method was employed in combination with bioinformatics analysis to evaluate the utility of the selection strategy and to uncover new potential high affinity sequences. On the basis of the presence of consensus regions (sequence families) and family similarities (clusters), 15 putative aptamers to tyramine were identified. A recently described workflow approach to perform a primary screening and characterization of the aptamer candidates by microequilibrium dialysis and by microscale thermophoresis was next leveraged. These candidate aptamers exhibited dissociation constant (Kd) values in the range of 0.2-152 μM with aptamer Tyr_10 as the most promising one followed by aptamer Tyr_14. These aptamers could be used as promising molecular recognition tools for the development of inexpensive, robust and innovative biosensor platforms for the detection of tyramine in food and beverages.

Regulation of germinal center B-cell differentiation.

SummaryGerminal centers (GC) are the main sites where antigen‐activated B‐cell clones expand and undergo immunoglobulin gene hypermutation and selection. Iterations of this process will lead to affinity maturation, replicating Darwinian evolution on the cellular level. GC B‐cell selection can lead to four different outcomes: further expansion and evolution, apoptosis (non‐selection), or output from the GC with differentiation into memory B cells or plasma cells. T‐helper cells in GC have been shown to have a central role in regulating B‐cell selection by sensing the density of major histocompatibility complex (MHC):peptide antigen complexes. Antigen is provided on follicular dendritic cells in the form of immune complex. Antibody on these immune complexes regulates antigen accessibility by shielding antigen from B‐cell receptor access. Replacement of antibody on immune complexes by antibody generated from GC‐derived plasma cell output will gradually reduce the availability of antigen. This antibody feedback can lead to a situation where a slow rise in selection stringency caused by a changing environment leads to directional evolution toward higher affinity antibody.

Evasion of affinity-based selection in germinal centers by Epstein–Barr virus LMP2A

Epstein-Barr virus (EBV) infects germinal center (GC) B cells and establishes persistent infection in memory B cells. EBV-infected B cells can cause B-cell malignancies in humans with T- or natural killer-cell deficiency. We now find that EBV-encoded latent membrane protein 2A (LMP2A) mimics B-cell antigen receptor (BCR) signaling in murine GC B cells, causing altered humoral immune responses and autoimmune diseases. Investigation of the impact of LMP2A on B-cell differentiation in mice that conditionally express LMP2A in GC B cells or all B-lineage cells found LMP2A expression enhanced not only BCR signals but also plasma cell differentiation in vitro and in vivo. Conditional LMP2A expression in GC B cells resulted in preferential selection of low-affinity antibody-producing B cells despite apparently normal GC formation. GC B-cell-specific LMP2A expression led to systemic lupus erythematosus-like autoimmune phenotypes in an age-dependent manner. Epigenetic profiling of LMP2A B cells found increased H3K27ac and H3K4me1 signals at the zinc finger and bric-a-brac, tramtrack domain-containing protein 20 locus. We conclude that LMP2A reduces the stringency of GC B-cell selection and may contribute to persistent EBV infection and pathogenesis by providing GC B cells with excessive prosurvival effects.

Affinity Maturation of Monoclonal Antibody 1E11 by Targeted Randomization in CDR3 Regions Optimizes Therapeutic Antibody Targeting of HER2-Positive Gastric Cancer.

Anti-HER2 murine monoclonal antibody 1E11 has strong and synergistic anti-tumor activity in HER2-overexpressing gastric cancer cells when used in combination with trastuzumab. We presently optimized this antibody for human therapeutics. First, the complementarity determining regions (CDRs) of the murine antibody were grafted onto human germline immunoglobulin variable genes. No difference in affinity and biological activity was observed between chimeric 1E11 (ch1E11) and humanized 1E11 (hz1E11). Next, affinity maturation of hz1E11 was performed by the randomization of CDR-L3 and H3 residues followed by stringent biopanning selection. Milder selection pressure favored the selection of more diverse clones, whereas higher selection stringency resulted in the convergence of the panning output to a smaller number of clones with improved affinity. Clone 1A12 had four amino acid substitutions in CDR-L3, and showed a 10-fold increase in affinity compared to the parental clone and increased potency in an in vitro anti-proliferative activity assay with HER2-overepxressing gastric cancer cells. Clone 1A12 inhibited tumor growth of NCI-N87 xenograft model with similar efficacy to trastuzumab alone, and the combination treatment of 1A12 and trastuzumab completely removed the established tumors. These results suggest that humanized and affinity matured monoclonal antibody 1A12 is a highly optimized molecule for future therapeutic development against HER2-positive tumors.

A network of SMG-8, SMG-9 and SMG-1 C-terminal insertion domain regulates UPF1 substrate recruitment and phosphorylation.

Mammalian nonsense-mediated mRNA decay (NMD) is a eukaryotic surveillance mechanism that degrades mRNAs containing premature translation termination codons. Phosphorylation of the essential NMD effector UPF1 by the phosphoinositide-3-kinase-like kinase (PIKK) SMG-1 is a key step in NMD and occurs when SMG-1, its two regulatory factors SMG-8 and SMG-9, and UPF1 form a complex at a terminating ribosome. Electron cryo-microscopy of the SMG-1–8–9-UPF1 complex shows the head and arm architecture characteristic of PIKKs and reveals different states of UPF1 docking. UPF1 is recruited to the SMG-1 kinase domain and C-terminal insertion domain, inducing an opening of the head domain that provides access to the active site. SMG-8 and SMG-9 interact with the SMG-1 C-insertion and promote high-affinity UPF1 binding to SMG-1–8–9, as well as decelerated SMG-1 kinase activity and enhanced stringency of phosphorylation site selection. The presence of UPF2 destabilizes the SMG-1–8–9-UPF1 complex leading to substrate release. Our results suggest an intricate molecular network of SMG-8, SMG-9 and the SMG-1 C-insertion domain that governs UPF1 substrate recruitment and phosphorylation by SMG-1 kinase, an event that is central to trigger mRNA decay.

Engineering selection stringency on expression vector for the production of recombinant human alpha1-antitrypsin using Chinese Hamster ovary cells.

BackgroundExpression vector engineering technology is one of the most convenient and timely method for cell line development to meet the rising demand of novel production cell line with high productivity. Destabilization of dihydrofolate reductase (dhfr) selection marker by addition of AU-rich elements and murine ornithine decarboxylase PEST region was previously shown to improve the specific productivities of recombinant human interferon gamma in CHO-DG44 cells. In this study, we evaluated novel combinations of engineered motifs for further selection marker attenuation to improve recombinant human alpha-1-antitrypsin (rhA1AT) production. Motifs tested include tandem PEST elements to promote protein degradation, internal ribosome entry site (IRES) mutations to impede translation initiation, and codon-deoptimized dhfr selection marker to reduce translation efficiency.ResultsAfter a 2-step methotrexate (MTX) amplification to 50 nM that took less than 3 months, the expression vector with IRES point mutation and dhfr-PEST gave a maximum titer of 1.05 g/l with the top producer cell pool. Further MTX amplification to 300 nM MTX gave a maximum titer of 1.15 g/l. Relative transcript copy numbers and dhfr protein expression in the cell pools were also analysed to demonstrate that the transcription of rhA1AT and dhfr genes were correlated due to the IRES linkage, and that the strategies of further attenuating dhfr protein expression with the use of a mutated IRES and tandem PEST, but not codon deoptimization, were effective in reducing dhfr protein levels in suspension serum free culture.ConclusionsNovel combinations of engineered motifs for further selection marker attenuation were studied to result in the highest reported recombinant protein titer to our knowledge in shake flask batch culture of stable mammalian cell pools at 1.15 g/l, highlighting applicability of expression vector optimization in generating high producing stable cells essential for recombinant protein therapeutics production. Our results also suggest that codon usage of the selection marker should be considered for applications that may involve gene amplification and serum free suspension culture, since the overall codon usage and thus the general expression and regulation of host cell proteins may be affected in the surviving cells.Electronic supplementary materialThe online version of this article (doi:10.1186/s12896-015-0145-9) contains supplementary material, which is available to authorized users.

A set of powerful negative selection systems for unmodified Enterobacteriaceae.

Creation of defined genetic mutations is a powerful method for dissecting mechanisms of bacterial disease; however, many genetic tools are only developed for laboratory strains. We have designed a modular and general negative selection strategy based on inducible toxins that provides high selection stringency in clinical Escherichia coli and Salmonella isolates. No strain- or species-specific optimization is needed, yet this system achieves better selection stringency than all previously reported negative selection systems usable in unmodified E. coli strains. The high stringency enables use of negative instead of positive selection in phage-mediated generalized transduction and also allows transfer of alleles between arbitrary strains of E. coli without requiring phage. The modular design should also allow further extension to other bacteria. This negative selection system thus overcomes disadvantages of existing systems, enabling definitive genetic experiments in both lab and clinical isolates of E. coli and other Enterobacteriaceae.

Dosage and Temporal Thresholds in microRNA Proteomics*

MicroRNAs (miRNAs) modulate protein and mRNA expression through translational repression and/or mRNA decay. In this study, we combined SILAC-based proteomics and RNAseq to identify primary targets based on measurements of protein and mRNA repression and analysis of transcript 3'UTR sequences. The primary target set was used to compare different prediction algorithms, revealing higher stringency of selection by Targetscan and PITA compared with miRanda, at the expense of higher false negatives. A key finding was that significant and unexpected variations occurred in the kinetics of repression as well as the sensitivity to exogeneous miRNA concentration. Bimodal thresholds were observed, which distinguished responses to low (10 nm) versus high (50-100 nm) miRNA, as well as the onset of repression at early (12-18 h) versus late (36-48 h) times. Similar behavior was seen at the transcript level with respect to kinetics of repression. The differential thresholds were most strongly correlated with ΔΔG, the net free energy of miRNA-target interactions, which mainly reflected inverse correlations with ΔGopen, the free energy of forming 3'UTR secondary structures, at or nearby the miRNA seed matching sites. Thus, our working model is that protein binding or other competitive mechanisms variably interfere with the accessibility of miRISC to the transcript binding site. In addition, biphasic responses were observed in a subset of proteins that were partially down-regulated at early times, and further down-regulated at later times. Taken together, our findings provide evidence for varying modes of miRNA target repression, which lead to different thresholds of target responses with respect to kinetics and concentration, and predict that certain transcripts will show graded responses in sensitivity and fold-change under cellular conditions that lead to varying steady state miRNA levels.

A modified Janus cassette (Sweet Janus) to improve allelic replacement efficiency by high-stringency negative selection in Streptococcus pneumoniae.

The Janus cassette permits marker-free allelic replacement or knockout in streptomycin-resistant Streptococcus pneumoniae (pneumococcus) through sequential positive and negative selection. Spontaneous revertants of Janus can lead to high level of false-positives during negative selection, which necessitate a time-consuming post-selection screening process. We hypothesized that an additional counter-selectable marker in Janus would decrease the revertant frequency and reduce false-positives, since simultaneous reversion of both counter-selectable makers is much less likely. Here we report a modified cassette, Sweet Janus (SJ), in which the sacB gene from Bacillus subtilis conferring sucrose sensitivity is added to Janus. By using streptomycin and sucrose simultaneously as selective agents, the frequency of SJ double revertants was about 105-fold lower than the frequency of Janus revertants. Accordingly, the frequency of false-positives in the SJ-mediated negative selection was about 100-fold lower than what was seen for Janus. Thus, SJ enhances negative selection stringency and can accelerate allelic replacement in pneumococcus, especially when transformation frequency is low due to strain background or suboptimal transformation conditions. Results also suggested the sacB gene alone can function as a counter-selectable marker in the Gram-positive pneumococcus, which will have the advantage of not requiring a streptomycin-resistant strain for allelic replacement.

One in a million: flow cytometric sorting of single cell-lysate assays in monodisperse picolitre double emulsion droplets for directed evolution.

Directed evolution relies on iterative cycles of randomization and selection. The outcome of an artificial evolution experiment is crucially dependent on (i) the numbers of variants that can be screened and (ii) the quality of the assessment of each clone that forms the basis for selection. Compartmentalization of screening assays in water-in-oil emulsion droplets provides an opportunity to screen vast numbers of individual assays with good signal quality. Microfluidic systems have been developed to make and sort droplets, but the operator skill required precludes their ready implementation in nonspecialist settings. We now establish a protocol for the creation of monodisperse double-emulsion droplets in two steps in microfluidic devices with different surface characteristics (first hydrophobic, then hydrophilic). The resulting double-emulsion droplets are suitable for quantitative analysis and sorting in a commercial flow cytometer. The power of this approach is demonstrated in a series of enrichment experiments, culminating in the successful recovery of catalytically active clones from a sea of 1 000 000-fold as many low-activity variants. The modular workflow allows integration of additional steps: the encapsulated lysate assay reactions can be stopped by heat inactivation (enabling ready control of selection stringency), the droplet size can be contracted (to concentrate its contents), and storage (at −80 °C) is possible for discontinuous workflows. The control that can be thus exerted on screening conditions will facilitate exploitation of the potential of protein libraries compartmentalized in droplets in a straightforward protocol that can be readily implemented and used by protein engineers.