Evidence map›Paper›PMID 31428455›Full record

ArticleNPJ systems biology and applications2019

Hierarchical graphical model reveals HFR1 bridging circadian rhythm and flower development in

Zhana Duren, Yaling Wang, Jiguang Wang, Xing-Ming Zhao, Le Lv, Xiaobo Li, Jingdong Liu, Xin-Guang Zhu, Luonan Chen, Yong Wang

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. International journal of molecular sciences · 2022
    Article
  3. Article
  4. Review
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

10 authors at 6 institutions in 3 countries.

Zhana Duren1CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190 China.ORCID 0000-0003-4685-811X
Yaling Wang3State Key Laboratory of Molecular Plant Sciences and Center of Excellence for Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032 China.
Jiguang Wang4Division of Life Science, Department of Chemical and Biological Engineering, Center of Systems Biology and Human Health, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, China.
Xing-Ming Zhao5Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 China.
Le LvBayer U.S. - Crop Science, Monsanto Legal Entity, St. Louis, MO 63156 USA.
Xiaobo Li8Department of Plant Biology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305 USA.
Jingdong LiuBayer U.S. - Crop Science, Monsanto Legal Entity, St. Louis, MO 63156 USA.
Xin-Guang Zhu3State Key Laboratory of Molecular Plant Sciences and Center of Excellence for Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032 China.
Luonan Chen9Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031 China.
Yong Wang1CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190 China.
Kunming Institute of Zoology · CNChinese Academy of Sciences · CNMonsanto (United States) · USCarnegie Institution for Science · USFudan University · CNHong Kong University of Science and Technology · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study systems-level properties of the cell, it is necessary to go beyond individual regulators and target genes to study the regulatory network among transcription factors (TFs). However, it is difficult to directly dissect the TFs mediated genome-wide gene regulatory network (GRN) by experiment. Here, we proposed a hierarchical graphical model to estimate TF activity from mRNA expression by building TF complexes with protein cofactors and inferring TF's downstream regulatory network simultaneously. Then we applied our model on flower development and circadian rhythm processes in

Indexed as

AGAMOUS Protein, ArabidopsisArabidopsisArabidopsis ProteinsArsenate ReductasesCircadian RhythmComputational BiologyDNA-Binding ProteinsEpigenesis, GeneticFlowersGene Expression Regulation, PlantGene Regulatory NetworksGenomeNuclear ProteinsTranscription FactorsAGAMOUS Protein, ArabidopsisArabidopsis ProteinsArsenate ReductasesAt1g02340 protein, ArabidopsisDNA-Binding ProteinsHAC1 (HIGH ARSENIC CONTENT 1) protein, ArabidopsisNuclear ProteinsTranscription FactorsDynamic networksPlant sciences

Identifiers

PMID31428455
PMCPMC6690920
OpenAlexW2969085427

What OpenQuestion holds

Textmetadata
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.