Evidence map›Paper›PMID 30395277›Full record

ArticleNucleic acids research2019

PlantPAN3.0: a new and updated resource for reconstructing transcriptional regulatory networks from ChIP-seq experiments in plants.

Chi-Nga Chow, Tzong-Yi Lee, Yu-Cheng Hung, Guan-Zhen Li, Kuan-Chieh Tseng, Ya-Hsin Liu, Po-Li Kuo, Han-Qin Zheng, Wen-Chi Chang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 1 pooled it
49.0field-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

220 citing papers in PubMed, 1 synthesis or guideline pooled it, 461 citations in OpenAlex.

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160 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

9 authors at 3 institutions in 2 countries.

Chi-Nga ChowGraduate Program in Translational Agricultural Sciences, National Cheng Kung University and Academia Sinica, Taiwan.
Tzong-Yi LeeSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China.
Yu-Cheng HungInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Guan-Zhen LiInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Kuan-Chieh TsengDepartment of Life Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Ya-Hsin LiuDepartment of Life Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Po-Li KuoInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Han-Qin ZhengInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
Wen-Chi ChangGraduate Program in Translational Agricultural Sciences, National Cheng Kung University and Academia Sinica, Taiwan.
National Cheng Kung University · TWAcademia Sinica · TWChinese University of Hong Kong, Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Plant Promoter Analysis Navigator (PlantPAN; http://PlantPAN.itps.ncku.edu.tw/) is an effective resource for predicting regulatory elements and reconstructing transcriptional regulatory networks for plant genes. In this release (PlantPAN 3.0), 17 230 TFs were collected from 78 plant species. To explore regulatory landscapes, genomic locations of TFBSs have been captured from 662 public ChIP-seq samples using standard data processing. A total of 1 233 999 regulatory linkages were identified from 99 regulatory factors (TFs, histones and other DNA-binding proteins) and their target genes across seven species. Additionally, this new version added 2449 matrices extracted from ChIP-seq peaks for cis-regulatory element prediction. In addition to integrated ChIP-seq data, four major improvements were provided for more comprehensive information of TF binding events, including (i) 1107 experimentally verified TF matrices from the literature, (ii) gene regulation network comparison between two species, (iii) 3D structures of TFs and TF-DNA complexes and (iv) condition-specific co-expression networks of TFs and their target genes extended to four species. The PlantPAN 3.0 can not only be efficiently used to investigate critical cis- and trans-regulatory elements in plant promoters, but also to reconstruct high-confidence relationships among TF-targets under specific conditions.

Indexed as

Databases, GeneticGene Expression Regulation, PlantBinding SitesChromatin Immunoprecipitation SequencingComputational BiologyGene Regulatory NetworksGenes, PlantPlant ProteinsPlantsProtein BindingRegulatory Elements, TranscriptionalTranscription FactorsPlant ProteinsTranscription Factors

Identifiers

PMID30395277
PMCPMC6323957
OpenAlexW2899798266

What OpenQuestion holds

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LicenceCC BY-NC
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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.