Extended Linkers Improve the Detection of Protein-protein Interactions (PPIs) by Dihydrofolate Reductase Protein-fragment Complementation Assay (DHFR PCA) in Living Cells
Bibliographic record
Abstract
Understanding the function of cellular systems requires describing how proteins assemble with each other into transient and stable complexes and to determine their spatial relationships. Among the tools available to perform these analyses on a large scale is Protein-fragment Complementation Assay based on the dihydrofolate reductase (DHFR PCA). Here we test how longer linkers between the fusion proteins and the reporter fragments affect the performance of this assay. We investigate the architecture of the RNA polymerases, the proteasome and the conserved oligomeric Golgi (COG) complexes in living cells and performed large-scale screens with these extended linkers. We show that longer linkers significantly improve the detection of protein-protein interactions and allow to measure interactions further in space than the standard ones. We identify new interactions, for instance between the retromer complex and proteins related to autophagy and endocytosis. Longer linkers thus contribute an enhanced additional tool to the existing toolsets for the detection and measurements of protein-protein interactions and protein proximity in living cells. Understanding the function of cellular systems requires describing how proteins assemble with each other into transient and stable complexes and to determine their spatial relationships. Among the tools available to perform these analyses on a large scale is Protein-fragment Complementation Assay based on the dihydrofolate reductase (DHFR PCA). Here we test how longer linkers between the fusion proteins and the reporter fragments affect the performance of this assay. We investigate the architecture of the RNA polymerases, the proteasome and the conserved oligomeric Golgi (COG) complexes in living cells and performed large-scale screens with these extended linkers. We show that longer linkers significantly improve the detection of protein-protein interactions and allow to measure interactions further in space than the standard ones. We identify new interactions, for instance between the retromer complex and proteins related to autophagy and endocytosis. Longer linkers thus contribute an enhanced additional tool to the existing toolsets for the detection and measurements of protein-protein interactions and protein proximity in living cells. Protein-protein interactions (PPIs) 1The abbreviations used are: PPIs, Protein-protein interactions. 1The abbreviations used are: PPIs, Protein-protein interactions. are central to all cellular functions and are largely responsible for translating genotypes into phenotypes (1.Vidal M. Cusick M.E. Barabasi A.L. Interactome networks and human disease.Cell. 2011; 144: 986-998Abstract Full Text Full Text PDF PubMed Scopus (1181) Google Scholar). 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A of protein complex for Full Text Full Text PDF PubMed Scopus Google Scholar, T. network Syst. Biol. PubMed Scopus Google Scholar, M. interaction PubMed Scopus Google Scholar). of interactions between proteins and reveals interactions. the used M. S. yeast after 2014; 11: PubMed Scopus Google Scholar), S.W. I. in and based on PubMed Scopus Google Scholar) and based on N. A. a of protein interactions in PubMed Scopus Google Scholar). from large-scale that interactome from that for instance a to the of interactions the the yeast in A. R. L. J. C. L. S. C. A. C. B.J. K. M. interaction 2017; PubMed Scopus Google Scholar), than in of than and and these are on the proteins assemble into complexes in the and on the other how proteins to N. D. P. F.C. P. A of protein complex for Full Text Full Text PDF PubMed Scopus Google Scholar, A. W. of the PubMed Scopus Google Scholar). of the PPI from a that not on the spatial organization of complex in is a for tools that can to further to the proteins and between complexes to at of in living cells is to in and systems are not to to all protein on the dynamics of protein complexes in living cells. of S.W. I. in and based on PubMed Scopus Google Scholar, S.W. Landry C. Messier V. A of for and large-scale and protein-protein interactions in living PubMed Scopus Google Scholar) the for an approach by on the fusion of proteins of with fragments of a reporter at their C a PPI the fragments assemble into a protein can by K. Messier V. Landry C.R. Radinovic S. Serna Molina M.M. Shames I. Malitskaya Y. Vogel J. Bussey H. Michnick S.W. An in vivo map of the yeast protein interactome.Science. 2008; 320: 1465-1470Crossref PubMed Scopus (579) Google Scholar, S.W. Landry C. Messier V. 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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".