Evidence map›Paper›PMID 26627236›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Architecture of the human XPC DNA repair and stem cell coactivator complex.

Elisa T Zhang, Yuan He, Patricia Grob, Yick W Fong, Eva Nogales, Robert Tjian

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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  10. Review
  11. DNA repair fidelity in stem cell maintenance, health, and disease.Biochimica et biophysica acta. Molecular basis of disease · 2020
    Review
  12. Article
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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

6 authors at 2 institutions in 1 country.

Elisa T ZhangDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Li Ka Shing Center for Biomedical and Health Sciences, CIRM Center of Excellence, University of California Berkeley, CA 94720;ORCID http://orcid.org/0000-0003-1294-2372
Yuan HeLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710;
Patricia GrobDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720;
Yick W FongDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720;
Eva NogalesDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710;
Robert TjianDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720; Li Ka Shing Center for Biomedical and Health Sciences, CIRM Center of Excellence, University of California Berkeley, CA 94720; Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789 jmlim@berkeley.edu.
Howard Hughes Medical Institute · USLawrence Berkeley National Laboratory · US

Funding

Structural Studies of the Eukaryotic Transcription Initiation MachineryR01GM063072 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOGALES, EVA · 2001 to 2016
$2.5M
Howard Hughes Medical InstituteNIGMS NIH HHS GM63072NIGMS NIH HHS R01 GM063072
6 · The paper itself

Abstract

The Xeroderma pigmentosum complementation group C (XPC) complex is a versatile factor involved in both nucleotide excision repair and transcriptional coactivation as a critical component of the NANOG, OCT4, and SOX2 pluripotency gene regulatory network. Here we present the structure of the human holo-XPC complex determined by single-particle electron microscopy to reveal a flexible, ear-shaped structure that undergoes localized loss of order upon DNA binding. We also determined the structure of the complete yeast homolog Rad4 holo-complex to find a similar overall architecture to the human complex, consistent with their shared DNA repair functions. Localized differences between these structures reflect an intriguing phylogenetic divergence in transcriptional capabilities that we present here. Having positioned the constituent subunits by tagging and deletion, we propose a model of key interaction interfaces that reveals the structural basis for this difference in functional conservation. Together, our findings establish a framework for understanding the structure-function relationships of the XPC complex in the interplay between transcription and DNA repair.

Indexed as

DNA RepairAnimalsDNA-Binding ProteinsHomeodomain ProteinsHumansMultiprotein ComplexesNanog Homeobox ProteinOctamer Transcription Factor-3Protein Structure, QuaternaryProtein Structure, TertiarySOXB1 Transcription FactorsStructure-Activity RelationshipDNA-Binding ProteinsHomeodomain ProteinsMultiprotein ComplexesNanog Homeobox ProteinNANOG protein, humanOctamer Transcription Factor-3POU5F1 protein, humanSOX2 protein, humanSOXB1 Transcription FactorsXPC protein, humanbiochemistryDNA repairstem cellsstructuretranscription

Identifiers

PMID26627236
PMCPMC4672820
OpenAlexW2172887115

What OpenQuestion holds

Textmetadata
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.