Evidence map›Paper›PMID 27117388›Full record

ArticleScientific reports2016

Positional distribution of transcription factor binding sites in Arabidopsis thaliana.

Chun-Ping Yu, Jinn-Jy Lin, Wen-Hsiung Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
21.9field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

  1. Pooled it
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  17. Genomic analyses elucidateEcology and evolution · 2024
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11 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

3 authors at 3 institutions in 2 countries.

Chun-Ping YuBiotechnology Center, National Chung-Hsing University, Taichung 40227, Taiwan.
Jinn-Jy LinBiodiversity Research Center, Academia Sinica, Taipei 115, Taiwan.
Wen-Hsiung LiBiotechnology Center, National Chung-Hsing University, Taichung 40227, Taiwan.
Biodiversity Research Center, Academia Sinica · TWInstitute of Information Science, Academia Sinica · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Binding of a transcription factor (TF) to its DNA binding sites (TFBSs) is a critical step to initiate the transcription of its target genes. It is therefore interesting to know where the TFBSs of a gene are likely to locate in the promoter region. Here we studied the positional distribution of TFBSs in Arabidopsis thaliana, for which many known TFBSs are now available. We developed a method to identify the locations of TFBSs in the promoter sequences of genes in A. thaliana. We found that the distribution is nearly bell-shaped with a peak at 50 base pairs (bp) upstream of the transcription start site (TSS) and 86% of the TFBSs are in the region from -1,000 bp to +200 bp with respect to the TSS. Our distribution was supported by chromatin immunoprecipitation sequencing and microarray data and DNase I hypersensitive site sequencing data. When TF families were considered separately, differences in positional preference were observed between TF families. Our study of the positional distribution of TFBSs seems to be the first in a plant.

Indexed as

ArabidopsisArabidopsis ProteinsBinding SitesChromatin ImmunoprecipitationComputational BiologyDNA, PlantOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticSequence Analysis, DNATranscription FactorsTranscription Initiation SiteArabidopsis ProteinsDNA, PlantTranscription Factors

Identifiers

PMID27117388
PMCPMC4846880
OpenAlexW2342736450

What OpenQuestion holds

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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.