Evidence map›Paper›PMID 17567997›Full record

ArticleGenome research2007

Statistical analysis of the genomic distribution and correlation of regulatory elements in the ENCODE regions.

Zhengdong D Zhang, Alberto Paccanaro, Yutao Fu, Sherman Weissman, Zhiping Weng, Joseph Chang, Michael Snyder, Mark B Gerstein

Abstract read
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Fast Context-Aware Analysis of Genome Annotation Colocalization.Journal of computational biology : a journal of computational molecular cell biology · 2024
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  2. Density and Conservation Optimization of the Generalized Masked-Minimizer Sketching Scheme.Journal of computational biology : a journal of computational molecular cell biology · 2024
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  4. Differentiable Learning of Sequence-Specific Minimizer Schemes with DeepMinimizer.Journal of computational biology : a journal of computational molecular cell biology · 2022
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  7. SINE Insertion in the Intron of PigAnimals : an open access journal from MDPI · 2021
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  13. Genome-wide study of correlations between genomic features and their relationship with the regulation of gene expression.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
  14. Article
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  18. Decoding the human genome.Genome research · 2012
    Review
  19. Article
  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

8 authors.

Zhengdong D ZhangDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA.
Alberto Paccanaro
Yutao Fu
Sherman Weissman
Zhiping Weng
Joseph Chang
Michael Snyder
Mark B Gerstein

Funding

MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
Transcription and Regulatory Elements in ENCODE RegionsU01HG003156 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P · 2003 to 2006
$6.5M
Alternative Promoter Usage in Tissue-specific Gene Expr*R01HG003110 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WENG, ZHIPING · 2003 to 2006
$1.9M
NHGRI NIH HHS 1U01HG003156-01NHGRI NIH HHS R01 HG003110NHGRI NIH HHS R01HG03110NHGRI NIH HHS U01 HG003156NLM NIH HHS T15 LM007056NLM NIH HHS T15 LM07056
6 · The paper itself

Abstract

The comprehensive inventory of functional elements in 44 human genomic regions carried out by the ENCODE Project Consortium enables for the first time a global analysis of the genomic distribution of transcriptional regulatory elements. In this study we developed an intuitive and yet powerful approach to analyze the distribution of regulatory elements found in many different ChIP-chip experiments on a 10 approximately 100-kb scale. First, we focus on the overall chromosomal distribution of regulatory elements in the ENCODE regions and show that it is highly nonuniform. We demonstrate, in fact, that regulatory elements are associated with the location of known genes. Further examination on a local, single-gene scale shows an enrichment of regulatory elements near both transcription start and end sites. Our results indicate that overall these elements are clustered into regulatory rich "islands" and poor "deserts." Next, we examine how consistent the nonuniform distribution is between different transcription factors. We perform on all the factors a multivariate analysis in the framework of a biplot, which enhances biological signals in the experiments. This groups transcription factors into sequence-specific and sequence-nonspecific clusters. Moreover, with experimental variation carefully controlled, detailed correlations show that the distribution of sites was generally reproducible for a specific factor between different laboratories and microarray platforms. Data sets associated with histone modifications have particularly strong correlations. Finally, we show how the correlations between factors change when only regulatory elements far from the transcription start sites are considered.

Indexed as

Genome, HumanRegulatory Elements, TranscriptionalSequence Analysis, DNATranscription, GeneticChromosomes, HumanDatabases, GeneticHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID17567997
PMCPMC1891338

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.