Constarium
← Search

Data · dataset · 2020

Protein-protein interaction network rewiring across environments

Listed in Teesside University Research Data Repository

We have developed to quantitatively assay protein-protein interactions (PPIs) by barcode sequencing (Schlecht et al., Nature Comm. 2017, 8: 1-9).

Description

Here, we scale up this technology to quantify changes in relative in vivo PPI abundance of 1.6 million protein pairs across 9 growth conditions, with replication, for a total of 44 million measurements. To the best of our knowledge, this is the first large-scale study to move beyond a “static” view of the protein interactome by examining how PPI networks change across environments.

This new dynamic view of a cell’s protein interactome yields several headline findings: (1) Screening multiple conditions discovers ~3-4 times as many PPIs as a single-condition screen, indicating that previous work has underestimated the size of the protein interactome emergent from a cell genome. (2) Most PPIs are found in only a handful of conditions -- we call these PPIs “mutable”-- and these have been underrepresented in single-condition screens.

Read the rest (2 more)

(3) Mutable PPIs populate a newly-discovered and distinct “accessory” module of the protein interactome that is loosely connected, highly dynamic, and enriched for proteins involved in transcription, RNA processing, and translation (4) Mutable PPIs have several features that distinguish them from immutable PPIs: they are less likely to co-express, co-localize, and be explained by simple mass action kinetics, and more likely to contain intrinsically disordered regions, evolve quickly, and be of low abundance in standard conditions.

These results settle a long-standing debate concerning the statistical robustness of a “date hub/party hub” dichotomy and its implications for modularity of PPI networks (Han et al., Nature, 2004, 430: 88-93). Taken together, our results suggest that protein interactomes contain previously uncharacterized and highly dynamic regions that reorganize in response to cellular changes, and that this reorganization is due, to a larger extent, by post translational modifications.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Sequencing 75% · Systems biology 76%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/9ygwhk5cs3.28 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:field:310114enrichment · researchdata tees ac uktaxonomy-embedding@1.0.0title+keywords+description (76%)
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:sequencingenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title