Evidence map›Paper›PMID 27854364›Full record

ArticleNature protocols2016

Deep interactome profiling of membrane proteins by co-interacting protein identification technology.

Sandra Pankow, Casimir Bamberger, Diego Calzolari, Andreas Bamberger, John R Yates

Abstract read
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  7. Proteostasis landscapes of cystic fibrosis variants reveal drug response vulnerability.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. Ribosomal frameshifting selectively modulates the assembly, function, and pharmacological rescue of a misfolded CFTR variant.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

5 authors.

Sandra PankowDepartment of Chemical Physiology, The Scripps Research Institute, La Jolla, California, USA.
Casimir BambergerDepartment of Chemical Physiology, The Scripps Research Institute, La Jolla, California, USA.ORCID http://orcid.org/0000-0002-3830-4486
Diego CalzolariDepartment of Chemical Physiology, The Scripps Research Institute, La Jolla, California, USA.
Andreas BambergerDepartment of Physics, Albert-Ludwigs-University Freiburg, Freiburg, Germany.
John R YatesDepartment of Chemical Physiology, The Scripps Research Institute, La Jolla, California, USA.ORCID http://orcid.org/0000-0001-5267-1672

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
TRAFFICKING AND ABETA AGGREGATIONP01AG031097 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI KELLY, JEFFERY W · 2009 to 2013
$10.2M
Proteomic Profiling of CFTR Protein InteractionR01HL079442 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI BALCH, WILLIAM EDWARD, YATES III, JOHN R · 2005 to 2014
$4.6M
Understanding and Ameliorating Loss-of-Function Protein Misfolding DiseasesR01DK075295 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI KELLY, JEFFERY W · 2006 to 2014
$3.9M
The CFTR InteractomeR01HL131697 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2016 to 2019
$1.9M
NCRR NIH HHS P41 RR011823NHLBI NIH HHS HHSN268201000035CNHLBI NIH HHS R01 HL079442NHLBI NIH HHS R01 HL131697NIA NIH HHS P01 AG031097NIDDK NIH HHS R01 DK075295NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

Affinity purification coupled to mass spectrometry (AP-MS) is the method of choice for analyzing protein-protein interactions, but common protocols frequently recover only the most stable interactions and tend to result in low bait yield for membrane proteins. Here, we present a novel, deep interactome sequencing approach called CoPIT (co-interacting protein identification technology), which allows comprehensive identification and analysis of membrane protein interactomes and their dynamics. CoPIT integrates experimental and computational methods for a coimmunoprecipitation (Co-IP)-based workflow from sample preparation for mass spectrometric analysis to visualization of protein-protein interaction networks. The approach particularly improves the results for membrane protein interactomes, which have proven to be difficult to identify and analyze. CoPIT was used successfully to identify the interactome of the cystic fibrosis transmembrane conductance regulator (CFTR), demonstrating its validity and performance. The experimental step in this case achieved up to 100-fold-higher bait yield than previous methods by optimizing lysis, elution, sample clean-up and detection of interacting proteins by multidimensional protein identification technology (MudPIT). Here, we further provide evidence that CoPIT is applicable to other types of proteins as well, and that it can be successfully used as a general Co-IP method. The protocol describes all steps, ranging from considerations for experimental design, Co-IP, preparation of the sample for mass spectrometric analysis, and data analysis steps, to the final visualization of interaction networks. Although the experimental part can be performed in <3 d, data analysis may take up to a few weeks.

Indexed as

Cell Line, TumorHumansMass SpectrometryMembrane ProteinsProtein Interaction MappingMembrane Proteins

Identifiers

PMID27854364
PMCPMC5444904

What OpenQuestion holds

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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.