Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries
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ABSTRACT:
PROVIDER: PRJNA1222014 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32304750_1.fastq.gz | Fastqsanger.gz | |||
| SRR32304750_2.fastq.gz | Fastqsanger.gz | |||
| SRR32304751_1.fastq.gz | Fastqsanger.gz | |||
| SRR32304751_2.fastq.gz | Fastqsanger.gz | |||
| SRR32304752_1.fastq.gz | Fastqsanger.gz |
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Project description:Characterizing the binding selectivity landscape of interacting proteins is crucial both for elucidating the underlying mechanisms of their interaction and for developing selective inhibitors. However, current mapping methods are laborious and cannot provide a sufficiently comprehensive description of the landscape. Here, we introduce a novel and efficient strategy for comprehensively mapping the binding landscape of proteins using a combination of experimental multi-target selective library screening and in silico next-generation sequencing analysis. We map the binding landscape of a non-selective trypsin inhibitor, the amyloid protein precursor inhibitor (APPI), to human serine proteases including kallikrein-6 and mesotrypsin. We then use this map to dissect and improve the affinity and selectivity of APPI variants toward each of the proteases. Our strategy can be used as a platform for the development of a new generation of target-selective probes and therapeutic agents based on selective protein–protein interactions.
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Project description:Characterizing the binding selectivity landscape of interacting proteins is crucial both for elucidating the underlying mechanisms of their interaction and for developing selective inhibitors. However, current mapping methods are laborious and cannot provide a sufficiently comprehensive description of the landscape. Here, we introduce a novel and efficient strategy for comprehensively mapping the binding landscape of proteins using a combination of experimental multi-target selective library screening and in silico next-generation sequencing analysis. We map the binding landscape of a non-selective trypsin inhibitor, the amyloid protein precursor inhibitor (APPI), to each of the four human serine proteases (kallikrein-6, mesotrypsin, and anionic and cationic trypsins). We then use this map to dissect and improve the affinity and selectivity of APPI variants toward each of the four proteases. Our strategy can be used as a platform for the development of a new generation of target-selective probes and therapeutic agents based on selective protein-protein interactions.
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Project description:Hexavalent chromium [Cr(VI)] is a worldwide water contaminant that is currently without cost-effective and efficient remediation strategies. This is in part due to a lack of ligands that can bind it amid an excess of innocuous ions in aqueous solution. We present herein the design and application of a peptoid-based library of ligand candidates for toxic metal ions. A selective screening process was used to identify members of the library that can bind to Cr(VI) species at neutral pH and in the presence of a large excess of spectator ions. There were 11 sequences identified, and their affinities were compared using titrations monitored with UV-vis spectroscopy. To identify the interactions involved in coordination and specificity, we evaluated the effects of sequence substitutions and backbone variation in the highest affinity structure. Additional characterization of the complex formed between this sequence and Cr(VI) was performed using NMR spectroscopy. To evaluate the ability of the developed sequences to remediate contaminated solutions, the structures were synthesized on a solid-phase resin and incubated with environmental water samples that contained simulated levels of chromium contamination. The synthetic structures demonstrated the ability to reduce the amount of toxic chromium to levels within the range of the EPA contamination guidelines. In addition to providing some of the first selective ligands for Cr(VI), these studies highlight the promise of peptoid sequences as easily prepared components of environmental remediation materials.
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Project description:BackgroundAntibody fragments can be expressed in Escherichia coli, where they are commonly directed to the periplasm via Sec pathway to enable disulphide bridge formations and correct folding. In order to transport antibody fragments to the periplasmic space via Sec pathway, they are equipped with N-terminal signal sequence. Periplasmic expression has many benefits but it's also subjected to many hurdles like inefficient translocation across the inner membrane and insufficient capacity of the translocation system. One solution to overcome these hurdles is a modulation of codon usage of signal sequence which has proved to be an efficient way of tuning the translocation process. Modulation of codon usage of signal sequences has been successfully employed also in improving the expression levels of antibody fragments, but unfortunately the effect of codon usage on the expression has not been thoroughly analyzed.ResultsIn the present study we established three synonymous PelB signal sequence libraries by modulating codon usage of light chain and heavy chain PelB signal sequences of a Fab fragment. Each region (n-region, hydrophobic region and c-region) of the PelB signal sequence in the both chains of the Fab fragment in a bicistronic expression vector was mutated separately. We then screened for clones with improved expression profile. The best source for improved clones was the n-region library but in general, improved clones were obtained from all of the three libraries. After screening, we analyzed the effects of codon usage and mRNA secondary structures of chosen clones on the expression levels of the Fab fragment. When it comes to codon usage based factors, it was discovered that especially codon usage of fifth leucine position of the light chain PelB affects the expression levels of Fab fragment. In addition, we observed that mRNA secondary structures in the translation initiation regions of the light and heavy chain have an effect on expression levels as well.ConclusionsIn conclusion, the established synonymous signal sequence libraries are good sources for discovering Fab fragments with improved expression profile and obtaining new codon usage related information.
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Project description:Combinatorial genetic perturbations have been utilized to identify synthetic sick/lethal genetic interactions for cancer drug target discovery. Current methods for high-throughput combinatorial genetic screening are inefficient and cumbersome. Here we developed a simple, robust, and high-performance CRISPR-Cas12a-based approach for unbiased, combinatorial genetic screening in cancer cells.
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Project description:We describe a new method for encoded synthesis, efficient on-resin screening, and rapid unambiguous sequencing of combinatorial peptide libraries. An improved binary tag system for encoding peptide libraries during synthesis was designed to facilitate unequivocal assignment of isobaric residues by MALDI-TOF MS analysis. The improved method for encoded library synthesis was combined with a new versatile on-resin screening strategy that permitted multiple stages and types of screening to be employed successively on one library under mild conditions. The new method facilitated a combinatorial study of transglutaminase (TGase) enzyme substrate peptides, revealing new details of the effect of amino acid composition on TGase substrates. The approach was first demonstrated for an encoded library (130,321 compounds) of lysine pentapeptide substrates of TGase, synthesized using the "split-mix" method. The library was reacted on-resin with TGase enzyme and a soluble desthiobiotin labeled glutamine substrate. Initial screening was performed by adsorbing streptavidin-coated magnetic microparticles onto library beads, followed by magnetic separation. The differential binding affinities of desthiobiotin and biotin for streptavidin were exploited to release the magnetic microparticles and regenerate the desthiobiotin-labeled resin beads for further screening by flow-cytometry-based automated bead sorting, resulting in 345 beads that were sequenced by MALDI-TOF MS analysis. A second library consisted of encoded glutamine hexapeptide substrates, which was reacted on-resin with TGase enzyme and a soluble desthiobiotin-labeled cadaverine. Two-stage screening identified 267 glutamine peptides as TGase-reactive, of which 21 were further analyzed by solution-phase enzyme kinetics. Kinetic results indicated that the peptide PQQQYV from the library has a 68-fold greater substrate specificity than the best known glutamine substrate QQIV. The new encoding and screening strategies described here are expected to be broadly applicable to synthesis and screening of combinatorial peptide libraries in the future.
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