Evidence map›Paper›PMID 24705081›Full record

ArticleGenes2012

Identifying and characterizing regulatory sequences in the human genome with chromatin accessibility assays.

Nathan C Sheffield, Terrence S Furey

Open access · goldAbstract read
In one paragraph

Article in Genes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Chromatin accessibility profiling methods.Nature reviews. Methods primers · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Analytical Approaches for ATAC-seq Data Analysis.Current protocols in human genetics · 2020
    Article
  17. Review
  18. Article
  19. Computational Methods for Assessing Chromatin Hierarchy.Computational and structural biotechnology journal · 2018
    Review
  20. Article
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

2 authors at 2 institutions in 1 country.

Nathan C SheffieldProgram in Computational Biology and Bioinformatics, Institute for Genome Sciences & Policy, Duke University, Durham, NC 27708, USA. nathan.sheffield@duke.edu.
Terrence S FureyDepts of Genetics and Biology, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA. tsfurey@email.unc.edu.
Duke University · USUNC Lineberger Comprehensive Cancer Center

Funding

Comprehensive Identification of Active Functional Elements in Human ChromatinU54HG004563 · NHGRI · DUKE UNIVERSITY · PI CRAWFORD, GREGORY E · 2007 to 2011
$9.7M
NHGRI NIH HHS U54 HG004563
6 · The paper itself

Abstract

After finishing a human genome reference sequence in 2002, the genomics community has turned to the task of interpreting it. A primary focus is to identify and characterize not only protein-coding genes, but all functional elements in the genome. The effort includes both individual investigators and large-scale projects like the Encyclopedia of DNA Elements (ENCODE) project. As part of the ENCODE project, several groups have identified millions of regulatory elements in hundreds of human cell-types using DNase-seq and FAIRE-seq experiments that detect regions of nucleosome-free open chromatin. ChIP-seq experiments have also been used to discover transcription factor binding sites and map histone modifications. Nearly all identified elements are found in non-coding DNA, hypothesizing a function for previously unannotated sequence. In this review, we provide an overview of the ENCODE effort to define regulatory elements, summarize the main results, and discuss implications of the millions of regulatory elements distributed throughout the genome.

Identifiers

PMID24705081
PMCPMC3899983
OpenAlexW2076550209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.