Dataset Information

Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library

ABSTRACT: Protein-protein interaction specificity is often accomplished by molecular recognition and mediated by a small set of interfacial residues. However, the extent to which these residues serve positive specificity roles (encourage interaction with the cognate protein) or negative specificity roles (destabilize interaction with the non-cognate protein) is poorly understood. To systematically dissect these roles, we built a library of interface variants using a bacterial toxin-antitoxin system, Mesorhizobium opportunistum ParD3-ParE3, as a model. The ParD3 antitoxin is specific for its cognate toxin ParE3 and does not neutralize the non-cognate toxin ParE2. We built a saturation mutagenesis library at three key interface positions in ParD3 and measured the ability of each variant to neutralize ParE3 and ParE2 via a 10-hour bulk selection assay. A fitness score was assigned to each variant in the presence of each toxin based on the relative expansion of the variant during the experiment (between t = 0 and t = 600 min).

ORGANISM(S): synthetic construct

PROVIDER: GSE153897 | GEO | 2020/08/17

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The specificity of the kinase-regulator interaction is driven by a limited set of interfacial residues in each protein that strongly. To identify combinations of these interface residues that are functional and potentially insulated from existing two-component signaling pathways in E. coli, we constructed a dual library of mutants in which the key, coevolving interface residues of a canonical two-component system, PhoQ and PhoP, were randomized. We used NNS codons to randomize six residues in PhoQ and five residues in PhoP, all of which lie at the interface formed by the two proteins in complex and that are critical to determining partner specificity in all two-component signaling pathways. To identify functional combinations of residues, we first grew the library of PhoQ-PhoP variants overnight in medium with low Mg2+, which activates PhoQ. Because cells must phosphorylate PhoP to grow when extracellular Mg2+ is limiting, this step enriches for functional PhoQ-PhoP variants. Variants that survived selection in limiting Mg2+ were then subjected to Sort-Seq, using fluorescence-activated cell sorting (FACS) and deep sequencing to quantify the signal responsiveness of variants in the library. To gauge the phosphorylation of PhoP in vivo, we used a fluorescent transcriptional reporter, PmgrB-yfp. In the presence of low extracellular Mg2+, functional PhoQ promotes the phosphorylation of PhoP and the production of YFP, whereas in the presence of high concentrations of Mg2+, PhoQ drives the dephosphorylation of PhoP, limiting the accumulation of YFP). The library was grown in each condition for 6 hours before sorting and sequencing. To identify variants that are signal responsive and drive YFP production specifically in low Mg2+, we sorted cells from each condition into 8 separate bins and deep sequenced the randomized regions of variants collected in each bin. We then calculated the frequency of each variant in each bin to yield the distributions of individual variants in low and high Mg2+, which were fit to Gaussians. From these fits, we assessed the mean level of YFP in each condition and the fold-induction, or signal responsiveness, of each variant detected in the library. The 11 codons / amino acids listed in this dataset refer to codons 12, 14, 15, 18, and 19 in PhoP and codons 284, 288, 289, 292, 302, and 303 in PhoQ, in that order.

Dataset Information

Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure