Evidence map›Paper›PMID 32123177›Full record

ArticleNature communications2020

Transient genome-wide interactions of the master transcription factor NLP7 initiate a rapid nitrogen-response cascade.

José M Alvarez, Anna-Lena Schinke, Matthew D Brooks, Angelo Pasquino, Lauriebeth Leonelli, Kranthi Varala, Alaeddine Safi, Gabriel Krouk, Anne Krapp, Gloria M Coruzzi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
22.2field-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

85 citing papers in PubMed, 166 citations in OpenAlex.

  1. aBIOTECH · 2026
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  12. 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. OsNRT1.1B-OsCNGC14/16-CaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

25 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

10 authors at 6 institutions in 3 countries.

José M AlvarezCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
Anna-Lena SchinkeCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
Matthew D BrooksCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
Angelo PasquinoCenter for Genomics and Systems Biology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-1715-0892
Lauriebeth LeonelliCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
Kranthi VaralaDepartment of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0003-1051-6636
Alaeddine SafiBPMP, Université de Montpellier, CNRS, INRA, SupAgro, Montpellier, France.ORCID http://orcid.org/0000-0003-1532-5708
Gabriel KroukBPMP, Université de Montpellier, CNRS, INRA, SupAgro, Montpellier, France.ORCID http://orcid.org/0000-0003-3693-6735
Anne KrappInstitut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000, Versailles, France.ORCID http://orcid.org/0000-0003-2034-5615
Gloria M CoruzziCenter for Genomics and Systems Biology, New York University, New York, NY, USA. gc2@nyu.edu.
New York University · USCentre National de la Recherche Scientifique · FRAgroParisTech · FRNew York Genome Center · USPurdue University West Lafayette · USUniversidad Mayor · CL

Funding

REGULATION OF AMINO ACID BIOSYNTHESIS GENES IN PLANTSR01GM032877 · NIGMS · ROCKEFELLER UNIVERSITY · PI CORUZZI, GLORIA · 1985 to 2012
$4.8M
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 GM032877NIGMS NIH HHS R01 GM121753
6 · The paper itself

Abstract

Dynamic reprogramming of gene regulatory networks (GRNs) enables organisms to rapidly respond to environmental perturbation. However, the underlying transient interactions between transcription factors (TFs) and genome-wide targets typically elude biochemical detection. Here, we capture both stable and transient TF-target interactions genome-wide within minutes after controlled TF nuclear import using time-series chromatin immunoprecipitation (ChIP-seq) and/or DNA adenine methyltransferase identification (DamID-seq). The transient TF-target interactions captured uncover the early mode-of-action of NIN-LIKE PROTEIN 7 (NLP7), a master regulator of the nitrogen signaling pathway in plants. These transient NLP7 targets captured in root cells using temporal TF perturbation account for 50% of NLP7-regulated genes not detectably bound by NLP7 in planta. Rapid and transient NLP7 binding activates early nitrogen response TFs, which we validate to amplify the NLP7-initiated transcriptional cascade. Our approaches to capture transient TF-target interactions genome-wide can be applied to validate dynamic GRN models for any pathway or organism of interest.

Indexed as

Gene Expression Regulation, PlantActive Transport, Cell NucleusArabidopsisArabidopsis ProteinsBinding SitesGenome, PlantNitrogenPlant RootsTranscription FactorsTranscription, GeneticArabidopsis ProteinsNIN-LIKE PROTEIN7, ArabidopsisNitrogenTranscription Factors

Identifiers

PMID32123177
PMCPMC7052136
OpenAlexW3009971564

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.