Evidence map›Paper›PMID 30969105›Full record

ArticleACS synthetic biology2019

A Multireporter Bacterial 2-Hybrid Assay for the High-Throughput and Dynamic Assay of PDZ Domain-Peptide Interactions.

David M Ichikawa, Carles Corbi-Verge, Michael J Shen, Jamie Snider, Victoria Wong, Igor Stagljar, Philip M Kim, Marcus B Noyes

Abstract read
In one paragraph

Article in ACS synthetic biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

David M IchikawaDepartment of Biochemistry Molecular Pharmacology and Institute for Systems Genetics , NYU Langone Health , New York , New York 10016 , United States.
Carles Corbi-VergeDonnelly Centre for Cellular and Biomolecular Research , University of Toronto , Toronto , Ontario M5S 3E1 , Canada.
Michael J ShenDepartment of Biochemistry Molecular Pharmacology and Institute for Systems Genetics , NYU Langone Health , New York , New York 10016 , United States.
Jamie SniderDonnelly Centre for Cellular and Biomolecular Research , University of Toronto , Toronto , Ontario M5S 3E1 , Canada.
Victoria WongDonnelly Centre for Cellular and Biomolecular Research , University of Toronto , Toronto , Ontario M5S 3E1 , Canada.
Igor StagljarDonnelly Centre for Cellular and Biomolecular Research , University of Toronto , Toronto , Ontario M5S 3E1 , Canada.
Philip M KimDonnelly Centre for Cellular and Biomolecular Research , University of Toronto , Toronto , Ontario M5S 3E1 , Canada.
Marcus B NoyesDepartment of Biochemistry Molecular Pharmacology and Institute for Systems Genetics , NYU Langone Health , New York , New York 10016 , United States.ORCID 0000-0002-3065-1096

Funding

Training in Pharmacological SciencesT32GM066704 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BACH, ERIKA A · 2004 to 2018
$2.6M
Defining the multi-dimensional code of zinc finger specificity-Resubmission-1R01GM118851 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOYES, MARCUS BLAINE · 2017 to 2021
$2.0M
Canadian Institute for Health Research PJT-153279NIGMS NIH HHS R01 GM118851NIGMS NIH HHS T32 GM066704
6 · The paper itself

Abstract

The accurate determination of protein-protein interactions has been an important focus of molecular biology toward which much progress has been made due to the continuous development of existing and new technologies. However, current methods can have limitations, including scale and restriction to high affinity interactions, limiting our understanding of a large subset of these interactions. Here, we describe a modified bacterial-hybrid assay that employs combined selectable and scalable reporters that enable the sensitive screening of large peptide libraries followed by the sorting of positive interactions by the level of reporter output. We have applied this tool to characterize a set of human and E. coli PDZ domains. Our results are consistent with prior characterization of these proteins, and the improved sensitivity increases our ability to predict known and novel in vivo binding partners. This approach allows for the recovery of a wide range of affinities with a high throughput method that does not sacrifice the scale of the screen.

Indexed as

Adaptor Proteins, Signal TransducingAmino Acid SequenceEscherichia coliGenes, ReporterHigh-Throughput Screening AssaysHumansNerve Tissue ProteinsPDZ DomainsPeptide LibraryPeptidesProtein BindingAdaptor Proteins, Signal TransducingAPBA1 protein, humanERBIN protein, humanNerve Tissue ProteinsPeptide LibraryPeptidesbacteria hybrid assayPDZ domainprotein interactionsynthetic biology

Identifiers

PMID30969105
PMCPMC6818413

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Registered trials

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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.