Evidence map›Paper›PMID 26060076›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2015

Identification of Posttranslational Modification-Dependent Protein Interactions Using Yeast Surface Displayed Human Proteome Libraries.

Scott Bidlingmaier, Bin Liu

Abstract readComparative StudyReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Scott BidlingmaierDepartment of Anesthesia, UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1001 Potrero Avenue, 1305, San Francisco, CA, 94110, USA.
Bin Liu

Funding

Mapping a clinically significant internalizing tumor epitope space.R01CA118919 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, BIN · 2006 to 2013
$2.5M
Internalizing human antibody-targeted nanosized siRNA therapeuticsR01CA171315 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, BIN · 2012 to 2016
$1.6M
Identifying antigens bound by novel scFvs targeting all subtypes of mesotheliomaR01CA129491 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, BIN · 2010 to 2013
$1.2M
NCI NIH HHS R01 CA118919NCI NIH HHS R01 CA129491NCI NIH HHS R01 CA171315
6 · The paper itself

Abstract

The identification of proteins that interact specifically with posttranslational modifications such as phosphorylation is often necessary to understand cellular signaling pathways. Numerous methods for identifying proteins that interact with posttranslational modifications have been utilized, including affinity-based purification and analysis, protein microarrays, phage display, and tethered catalysis. Although these techniques have been used successfully, each has limitations. Recently, yeast surface-displayed human proteome libraries have been utilized to identify protein fragments with affinity for various target molecules, including phosphorylated peptides. When coupled with fluorescently activated cell sorting and high throughput methods for the analysis of selection outputs, yeast surface-displayed human proteome libraries can rapidly and efficiently identify protein fragments with affinity for any soluble ligand that can be fluorescently detected, including posttranslational modifications. In this review we compare the use of yeast surface display libraries to other methods for the identification of interactions between proteins and posttranslational modifications and discuss future applications of the technology.

Indexed as

Protein Processing, Post-TranslationalFlow CytometryGene LibraryHumansPhosphorylationProtein Array AnalysisProtein BindingProteomeSaccharomyces cerevisiaeProteome

Identifiers

PMID26060076
PMCPMC4839784

What OpenQuestion holds

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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.