Evidence map›Paper›PMID 28541284›Full record

ArticleNature communications2017

A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions.

Ulrich Schlecht, Zhimin Liu, Jamie R Blundell, Robert P St Onge, Sasha F Levy

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Ulrich SchlechtStanford Genome Technology Center, Stanford University, 3165 Porter Drive, Palo Alto, Calfornia 94304, USA.ORCID 0000-0002-3406-6556
Zhimin LiuLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.
Jamie R BlundellLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.
Robert P St OngeStanford Genome Technology Center, Stanford University, 3165 Porter Drive, Palo Alto, Calfornia 94304, USA.
Sasha F LevyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.

Funding

Establishing a Long Island Bioscience HubU01HL127522 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI RUBIN, CLINTON T · 2015 to 2017
$3.0M
PPiSeq: High-Throughput Protein-Protein Interaction SequencingR01HG008354 · NHGRI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LEVY, SASHA F · 2015 to 2018
$1.5M
NHGRI NIH HHS R01 HG008354NHLBI NIH HHS U01 HL127522
6 · The paper itself

Abstract

Several large-scale efforts have systematically catalogued protein-protein interactions (PPIs) of a cell in a single environment. However, little is known about how the protein interactome changes across environmental perturbations. Current technologies, which assay one PPI at a time, are too low throughput to make it practical to study protein interactome dynamics. Here, we develop a highly parallel protein-protein interaction sequencing (PPiSeq) platform that uses a novel double barcoding system in conjunction with the dihydrofolate reductase protein-fragment complementation assay in Saccharomyces cerevisiae. PPiSeq detects PPIs at a rate that is on par with current assays and, in contrast with current methods, quantitatively scores PPIs with enough accuracy and sensitivity to detect changes across environments. Both PPI scoring and the bulk of strain construction can be performed with cell pools, making the assay scalable and easily reproduced across environments. PPiSeq is therefore a powerful new tool for large-scale investigations of dynamic PPIs.

Indexed as

Protein Interaction MapsDNA Barcoding, TaxonomicProtein Interaction MappingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTetrahydrofolate DehydrogenaseSaccharomyces cerevisiae ProteinsTetrahydrofolate Dehydrogenase

Identifiers

PMID28541284
PMCPMC5458509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.