Evidence map›Paper›PMID 19338310›Full record

ArticleJournal of proteome research2009

Streamline proteomic approach for characterizing protein-protein interaction network in a RAD52 protein complex.

Yuchun Du, Jianhong Zhou, Jinjiang Fan, Zhiyuan Shen, Xian Chen

Abstract read
In one paragraph

Article in Journal of proteome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 1 institution.

Yuchun DuDepartment of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599-7260, USA.
Jianhong Zhou
Jinjiang Fan
Zhiyuan Shen
Xian Chen
Rutgers Cancer Institute of New Jersey

Funding

Structure based drug discoveryP20RR015569 · NCRR · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI MILLETT, FRANCIS S · 2000 to 2009
$21.4M
Investigation of Systems Regulation in TLR SignalingR01AI064806 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHEN, XIAN · 2006 to 2010
$1.6M
Transcription-enhanced recombination in mammalian cellsR01ES008353 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI SHEN, ZHIYUAN · 2003 to 2006
$1.0M
NCRR NIH HHS P20 RR015569NCRR NIH HHS P20 RR15569NIAID NIH HHS 1R01AI064806-01A2NIAID NIH HHS R01 AI064806NIEHS NIH HHS R01 ES008353NIEHS NIH HHS R01ES008353
6 · The paper itself

Abstract

Large-scale identification of protein-protein interactions (PPIs) in functional complexes represents an efficient route to elucidate the regulatory rules of cellular functions. Whereas many methods have been developed to identify the PPIs associated with particular target/bait protein in complexes, little information is available about the interaction relationships among all components in a complex. Here, we have established a strategy of integrating proteomic identification of complex components with mammalian two-hybrid screening of their binary relationships to achieve information content of both breadth (i.e., identifying all potential interacting partners of the protein of interest) and depth (i.e., detailed mapping of the physical interactions of a subset of the identified and functionally related proteins) in characterizing protein complexes. In the initial phase of quantitative proteomic analysis of this streamline, the proteins that specifically complex with the target/bait protein were pulled down by immunoprecipitation and identified by mass spectrometry (MS)-based "dual-tagging" quantitative proteomic approach. In the second phase of in-depth characterizations of binary relationships, the physical interactions of a subset of functionally closely related complex components are mapped by mammalian two-hybrid assay. The screening for binary relationships of complex components not only serves as a validation of the first phase of proteomic identification, but also further deepens the understanding of the protein complex of interest. With this streamlined approach, we studied the protein complexes that are associated with a DNA recombination protein RAD52. In the initial phase, multiple proteins both known and unknown to interact with RAD52 were identified by the "dual-tagging" proteomic method. In the second phase, a complex protein-protein interaction network, which may play important roles in coordinating the activity of DNA repair with that of cell division, was defined by the mammalian two-hybrid assay.

Indexed as

Two-Hybrid System TechniquesBlotting, WesternCell LineFlow CytometryGreen Fluorescent ProteinsHumansImmunoprecipitationModels, BiologicalPlasmidsProtein BindingProtein Interaction MappingProteomicsRad52 DNA Repair and Recombination ProteinReproducibility of ResultsSignal TransductionTransfectionGreen Fluorescent ProteinsRad52 DNA Repair and Recombination Protein

Identifiers

PMID19338310
PMCPMC4284944
OpenAlexW2048641608

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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.