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Series GSE102901 Query DataSets for GSE102901
Status Public on Apr 06, 2018
Title The genetic landscape of a physical interaction
Organism synthetic construct
Experiment type Other
Summary A key question in human genetics and evolutionary biology is how mutations in different genes combine to alter phenotypes. Efforts to systematically map genetic interactions have mostly made use of gene deletions.  However, most genetic variation consists of point mutations of diverse and difficult to predict effects.  Here we provide the first comprehensive view of how point mutations in two genes combine to alter a molecular phenotype. Using a new sequencing-based protein interaction assay – deepPCA – we quantified the effects of >100,000 pairs of point mutations on the formation of the AP-1 transcription factor complex between the products of the FOS and JUN proto-oncogenes.  We then compared how mutations interact in cis (within one protein) and in trans (between the two molecules). Genetic interactions are abundant and consist of two classes –interactions driven by thermodynamics and captured by a global model that explains ~90% of the double mutant data in both cis and trans, and structural interactions that are enriched between proximally located residues.  There are more structural interactions between mutations within one gene than between the two genes.  These results reveal how physical interactions generate abundant and quantitatively predictable genetic interactions, even in the absence of complex regulatory dynamics.
 
Overall design Epistasis between mutations in two interacting proteins
 
Contributor(s) Diss G, Lehner B
Citation(s) 29638215
Submission date Aug 21, 2017
Last update date May 15, 2019
Contact name Guillaume Diss
E-mail(s) guillaume.diss@gmail.com
Organization name CRG
Street address C/ Dr. aiguader, 88
City Barcelona
ZIP/Postal code 08003
Country Spain
 
Platforms (1)
GPL19604 Illumina HiSeq 2500 (synthetic construct)
Samples (12)
GSM2747920 trans input 1
GSM2747921 trans input 2
GSM2747922 trans input 3
Relations
BioProject PRJNA399185
SRA SRP115920

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE102901_TableS1.xlsx 43.6 Mb (ftp)(http) XLSX
GSE102901_TableS4.xlsx 7.1 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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