Evidence map›Paper›PMID 33631799›Full record

ArticlePlant physiology2021

ConnecTF: A platform to integrate transcription factor-gene interactions and validate regulatory networks.

Matthew D Brooks, Che-Lun Juang, Manpreet Singh Katari, José M Alvarez, Angelo Pasquino, Hung-Jui Shih, Ji Huang, Carly Shanks, Jacopo Cirrone, Gloria M Coruzzi

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  4. Antagonistic regulation of nitrogen and drought signaling mediated by NIN-like protein 7 transcription factor inProceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Phloem-MobilePlants (Basel, Switzerland) · 2023
    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

10 authors at 4 institutions in 2 countries.

Matthew D BrooksCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Che-Lun JuangCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Manpreet Singh KatariCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
José M AlvarezCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Angelo PasquinoCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Hung-Jui ShihCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Ji HuangCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Carly ShanksCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
Jacopo CirroneCourant Institute for Mathematical Sciences, Department of Computer Science, New York University NY, USA.
Gloria M CoruzziCenter for Genomics and Systems Biology, Department of Biology, New York University, NY, USA.
New York University · USCourant Institute of Mathematical Sciences · USUniversidad Mayor · CLUrbana University · US

Funding

Hit-and-Run transcription: The impact of transient interactions in dynamic gene regulatory networks that mediate rapid nutrient signalingR01GM121753 · NIGMS · NEW YORK UNIVERSITY · PI CORUZZI, GLORIA, SHASHA, DENNIS ELLIOTT · 2020 to 2023
$1.7M
Uncovering the molecular basis for dynamic regulatory networks in plantsF32GM116347 · NIGMS · NEW YORK UNIVERSITY · PI BROOKS, MATTHEW D · 2016 to 2017
$121k
NIGMS NIH HHS F32 GM116347NIGMS NIH HHS R01 GM121753
6 · The paper itself

Abstract

Deciphering gene regulatory networks (GRNs) is both a promise and challenge of systems biology. The promise lies in identifying key transcription factors (TFs) that enable an organism to react to changes in its environment. The challenge lies in validating GRNs that involve hundreds of TFs with hundreds of thousands of interactions with their genome-wide targets experimentally determined by high-throughput sequencing. To address this challenge, we developed ConnecTF, a species-independent, web-based platform that integrates genome-wide studies of TF-target binding, TF-target regulation, and other TF-centric omic datasets and uses these to build and refine validated or inferred GRNs. We demonstrate the functionality of ConnecTF by showing how integration within and across TF-target datasets uncovers biological insights. Case study 1 uses integration of TF-target gene regulation and binding datasets to uncover TF mode-of-action and identify potential TF partners for 14 TFs in abscisic acid signaling. Case study 2 demonstrates how genome-wide TF-target data and automated functions in ConnecTF are used in precision/recall analysis and pruning of an inferred GRN for nitrogen signaling. Case study 3 uses ConnecTF to chart a network path from NLP7, a master TF in nitrogen signaling, to direct secondary TF2s and to its indirect targets in a Network Walking approach. The public version of ConnecTF (https://ConnecTF.org) contains 3,738,278 TF-target interactions for 423 TFs in Arabidopsis, 839,210 TF-target interactions for 139 TFs in maize (Zea mays), and 293,094 TF-target interactions for 26 TFs in rice (Oryza sativa). The database and tools in ConnecTF will advance the exploration of GRNs in plant systems biology applications for model and crop species.

Indexed as

Databases as TopicGene Expression Regulation, PlantGene Regulatory NetworksArabidopsisCrops, AgriculturalGenes, PlantOryzaTranscription FactorsZea maysTranscription Factors

Identifiers

PMID33631799
PMCPMC8133578
OpenAlexW3131774508

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.