NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE271790 Query DataSets for GSE271790
Status Public on Jul 12, 2024
Title MP3-seq: Massively parallel measurement of protein-protein interactions by sequencing
Organism Saccharomyces cerevisiae
Experiment type Other
Summary Abstract: Protein-protein interactions (PPIs) regulate many cellular processes, and engineered PPIs have cell and gene therapy applications. Here we introduce massively parallel protein-protein interaction measurement by sequencing (MP3-seq), an easy-to-use and highly scalable yeast-two-hybrid approach for measuring PPIs. In MP3-seq, DNA barcodes are associated with specific protein pairs, and barcode enrichment can be read by sequencing to provide a direct measure of interaction strength. We show that MP3-seq is highly quantitative and scales to over 100,000 interactions. We apply MP3-seq to characterize interactions between families of rationally designed heterodimers and to investigate elements conferring specificity to coiled-coil interactions. Finally, we predict coiled heterodimer structures using AlphaFold-Multimer (AF-M) and train linear models on physics simulation energy terms to predict MP3-seq values. We find that AF-M-based models could be valuable for pre-screening interactions, but that measuring interactions experimentally remains necessary to rank their strengths quantitatively.
 
Overall design The interactions of barcoded synthetic designed heterodimers were measured using a high throughput yeast two hybrid assay. Protein pairs were subject to an interaction dependent growth selection step. Expression plasmids were subsequently extracted and resulting barcodes were counted using an Illumina Next Seq (NGS) , and pre and post selection barcodes were processed using DeSeq2 to get a measure of PPI strength.
 
Contributor(s) Baryshev A, La Fleur A, Groves B, Michel C, Baker D, Ljubetič A, Seelig G
Citation(s) 39192093
Submission date Jul 08, 2024
Last update date Oct 21, 2024
Contact name Alyssa La Fleur
Organization name University of Washington
Lab Seelig Lab
Street address Campus Box 352500 185 Stevens Way
City Seattle
State/province WA
ZIP/Postal code 98195-2500
Country USA
 
Platforms (2)
GPL17143 Illumina MiSeq (Saccharomyces cerevisiae)
GPL26302 NextSeq 550 (Saccharomyces cerevisiae)
Samples (36)
GSM8385370 DHD0 and DHD1 His+ Barcodes Biol Rep 1
GSM8385371 DHD0 and DHD1 His- Barcodes Biol Rep 1
GSM8385372 DHD0 and DHD1 His+ Barcodes Biol Rep 2
Relations
BioProject PRJNA1133167

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
GSE271790_RAW.tar 1.2 Mb (http)(custom) TAR (of CSV)
GSE271790_barcodes_to_proteins_all_experiments.xlsx 47.7 Kb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap