Evidence map›Paper›PMID 27789702›Full record

ArticleNucleic acids research2017

Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse.

Shenglin Mei, Qian Qin, Qiu Wu, Hanfei Sun, Rongbin Zheng, Chongzhi Zang, Muyuan Zhu, Jiaxin Wu, Xiaohui Shi, Len Taing and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 372 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
372citing papers in PubMed, 1 pooled it
–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

372 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  9. PLA2G2F suppresses ferroptosis through phospholipid remodeling.Nature structural & molecular biology · 2026
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  11. Computational modelling of cell identity.The Biochemical journal · 2026
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  12. Smoking promotes colorectal cancer via the CKAP2L/AREG axis.International journal of oncology · 2026
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  14. Article
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312 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

14 authors.

Shenglin MeiClinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.
Qian QinClinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.
Qiu WuClinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.
Hanfei SunDepartment of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Rongbin ZhengDepartment of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Chongzhi ZangDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Muyuan ZhuDepartment of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Jiaxin WuMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing 100084, China.
Xiaohui ShiDepartment of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Len TaingDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Tao LiuDepartment of Biochemistry, University at Buffalo, Buffalo, NY 14214, USA.
Myles BrownCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Clifford A MeyerDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA cliff@jimmy.harvard.edu.
X Shirley LiuClinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China xsliu@jimmy.harvard.edu.

Funding

Developing Informatics Technologies to Model Cancer Gene RegulationU01CA180980 · NCI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2013 to 2015
$1.1M
NCI NIH HHS U01 CA180980
6 · The paper itself

Abstract

Chromatin immunoprecipitation, DNase I hypersensitivity and transposase-accessibility assays combined with high-throughput sequencing enable the genome-wide study of chromatin dynamics, transcription factor binding and gene regulation. Although rapidly accumulating publicly available ChIP-seq, DNase-seq and ATAC-seq data are a valuable resource for the systematic investigation of gene regulation processes, a lack of standardized curation, quality control and analysis procedures have hindered extensive reuse of these data. To overcome this challenge, we built the Cistrome database, a collection of ChIP-seq and chromatin accessibility data (DNase-seq and ATAC-seq) published before January 1, 2016, including 13 366 human and 9953 mouse samples. All the data have been carefully curated and processed with a streamlined analysis pipeline and evaluated with comprehensive quality control metrics. We have also created a user-friendly web server for data query, exploration and visualization. The resulting Cistrome DB (Cistrome Data Browser), available online at http://cistrome.org/db, is expected to become a valuable resource for transcriptional and epigenetic regulation studies.

Indexed as

Chromatin Assembly and DisassemblyChromatin ImmunoprecipitationDatabases, GeneticHigh-Throughput Nucleotide SequencingWeb BrowserAnimalsEpigenesis, GeneticEpigenomicsGene Expression RegulationGenomicsHumansMice

Identifiers

PMID27789702
PMCPMC5210658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.