Evidence map›Paper›PMID 27364684›Full record

ArticleCell research2016

A high-resolution transcriptome map of cell cycle reveals novel connections between periodic genes and cancer.

Daniel Dominguez, Yi-Hsuan Tsai, Nicholas Gomez, Deepak Kumar Jha, Ian Davis, Zefeng Wang

Open access · bronzeAbstract read
In one paragraph

Article in Cell research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Single-Cell RNA Analysis Reveals Cell-Intrinsic Functions of CAR T Cells Correlating with Response in a Phase II Study of Lymphoma Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
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  5. Review
  6. Dynamics and variegation in the Treg response to Interleukin-2.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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1 more citing papers are in PubMed but not listed here.

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 1 institution in 2 countries.

Daniel DominguezDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yi-Hsuan TsaiDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Nicholas GomezLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Deepak Kumar JhaDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ian DavisLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zefeng WangDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

PREDOCTORAL TRAINING IN PHARMACOLOGICAL SCIST32GM007040 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS, ROBERT A · 1985 to 2019
$6.0M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Modulation of VEGF-A alternative splicing as new anti-angiogenic therapeuticsR01CA158283 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, ZEFENG · 2011 to 2015
$1.4M
Linking DNA Replication Origin Licensing with Cell Cycle ProgressionF31CA165891 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COLEMAN, KATE E · 2013 to 2015
$85k
NCI NIH HHS R01 CA158283NIGMS NIH HHS T32 GM007040NIGMS NIH HHS T32 GM007092
6 · The paper itself

Abstract

Progression through the cell cycle is largely dependent on waves of periodic gene expression, and the regulatory networks for these transcriptome dynamics have emerged as critical points of vulnerability in various aspects of tumor biology. Through RNA-sequencing of human cells during two continuous cell cycles (>2.3 billion paired reads), we identified over 1 000 mRNAs, non-coding RNAs and pseudogenes with periodic expression. Periodic transcripts are enriched in functions related to DNA metabolism, mitosis, and DNA damage response, indicating these genes likely represent putative cell cycle regulators. Using our set of periodic genes, we developed a new approach termed "mitotic trait" that can classify primary tumors and normal tissues by their transcriptome similarity to different cell cycle stages. By analyzing >4 000 tumor samples in The Cancer Genome Atlas (TCGA) and other expression data sets, we found that mitotic trait significantly correlates with genetic alterations, tumor subtype and, notably, patient survival. We further defined a core set of 67 genes with robust periodic expression in multiple cell types. Proteins encoded by these genes function as major hubs of protein-protein interaction and are mostly required for cell cycle progression. The core genes also have unique chromatin features including increased levels of CTCF/RAD21 binding and H3K36me3. Loss of these features in uterine and kidney cancers is associated with altered expression of the core 67 genes. Our study suggests new chromatin-associated mechanisms for periodic gene regulation and offers a predictor of cancer patient outcomes.

Indexed as

PeriodicityBreast NeoplasmsCell CycleChromatinFemaleGene Expression Regulation, NeoplasticHeLa CellsHistone-Lysine N-MethyltransferaseHumansMitosisNeoplasmsPromoter Regions, GeneticRNA, MessengerTranscriptomeChromatinHistone-Lysine N-MethyltransferaseRNA, MessengerSETD2 protein, human

Identifiers

PMID27364684
PMCPMC4973334
OpenAlexW2473693530

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.