Evidence map›Paper›PMID 35137167›Full record

ArticleNucleic acids research2022

Barcode fusion genetics-protein-fragment complementation assay (BFG-PCA): tools and resources that expand the potential for binary protein interaction discovery.

Daniel Evans-Yamamoto, François D Rouleau, Piyush Nanda, Koji Makanae, Yin Liu, Philippe C Després, Hitoshi Matsuo, Motoaki Seki, Alexandre K Dubé, Diana Ascencio and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Daniel Evans-YamamotoInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0001-6467-3827
François D RouleauInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0003-0177-3761
Piyush NandaSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0002-6433-7484
Koji MakanaeSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0002-8560-4561
Yin LiuSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0001-6100-5276
Philippe C DesprésInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0003-1407-0643
Hitoshi MatsuoSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0001-5293-4831
Motoaki SekiSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0003-4207-1408
Alexandre K DubéInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0001-8718-9894
Diana AscencioInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0003-4808-1244
Nozomu YachieSynthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.ORCID 0000-0003-1582-6027
Christian R LandryInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.ORCID 0000-0003-3028-6866

Funding

CIHR 387697
6 · The paper itself

Abstract

Barcode fusion genetics (BFG) utilizes deep sequencing to improve the throughput of protein-protein interaction (PPI) screening in pools. BFG has been implemented in Yeast two-hybrid (Y2H) screens (BFG-Y2H). While Y2H requires test protein pairs to localize in the nucleus for reporter reconstruction, dihydrofolate reductase protein-fragment complementation assay (DHFR-PCA) allows proteins to localize in broader subcellular contexts and proves to be largely orthogonal to Y2H. Here, we implemented BFG to DHFR-PCA (BFG-PCA). This plasmid-based system can leverage ORF collections across model organisms to perform comparative analysis, unlike the original DHFR-PCA that requires yeast genomic integration. The scalability and quality of BFG-PCA were demonstrated by screening human and yeast interactions for >11 000 bait-prey pairs. BFG-PCA showed high-sensitivity and high-specificity for capturing known interactions for both species. BFG-Y2H and BFG-PCA capture distinct sets of PPIs, which can partially be explained based on the domain orientation of the reporter tags. BFG-PCA is a high-throughput protein interaction technology to interrogate binary PPIs that exploits clone collections from any species of interest, expanding the scope of PPI assays.

Indexed as

Protein Interaction MappingSaccharomyces cerevisiaeBiological AssayHumansProteinsTetrahydrofolate DehydrogenaseTwo-Hybrid System TechniquesProteinsTetrahydrofolate Dehydrogenase

Identifiers

PMID35137167
PMCPMC9122585

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.