Evidence map›Paper›PMID 37904932›Full record

ArticlebioRxiv : the preprint server for biology2024

Genome-wide analysis of transcription-coupled repair reveals novel transcription events in

Cansu Kose, Laura A Lindsey-Boltz, Aziz Sancar, Yuchao Jiang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Cansu KoseDepartment of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Laura A Lindsey-BoltzDepartment of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Aziz SancarDepartment of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Yuchao JiangDepartment of Statistics, College of Arts and Sciences, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-6905-6377

Funding

Molecular Mechanism of Mammalian DNA Excision Repair, DNA Damage Checkpoints and the Circadian ClockR35GM118102 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AZIZ SANCAR · 2016 to 2026
$10.6M
DNA Adduct Detection and Repair in Mammalian CellsR01ES033414 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SANCAR, AZIZ · 2021 to 2025
$2.8M
Statistical Methods for Bulk-Tissue and Single-Cell Multi-Omics IntegrationR35GM138342 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yuchao Jiang · 2020 to 2026
$2.3M
NIEHS NIH HHS R01 ES033414NIGMS NIH HHS R35 GM118102NIGMS NIH HHS R35 GM138342
6 · The paper itself

Abstract

Bulky DNA adducts such as those induced by ultraviolet light are removed from the genomes of multicellular organisms by nucleotide excision repair, which occurs through two distinct mechanisms, global repair, requiring the DNA damage recognition-factor XPC (xeroderma pigmentosum complementation group C), and transcription-coupled repair (TCR), which does not. TCR is initiated when elongating RNA polymerase II encounters DNA damage, and thus analysis of genome-wide excision repair in XPC-mutants only repairing by TCR provides a unique opportunity to map transcription events missed by methods dependent on capturing RNA transcription products and thus limited by their stability and/or modifications (5'-capping or 3'-polyadenylation). Here, we have performed the eXcision Repair-sequencing (XR-seq) in the model organism

Indexed as

Cockayne Syndrome complementation group B (CSB)eXcision Repair-Sequencing (XR-Seq)non-coding RNAs (ncRNAs)nucleotide excision repairtranscriptomeXeroderma Pigmentosum complementation group C (XPC)

Identifiers

PMID37904932
PMCPMC10614815

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.