Evidence map›Paper›PMID 19300494›Full record

ArticlePLoS computational biology2009

A systems approach uncovers restrictions for signal interactions regulating genome-wide responses to nutritional cues in Arabidopsis.

Gabriel Krouk, Daniel Tranchina, Laurence Lejay, Alexis A Cruikshank, Dennis Shasha, Gloria M Coruzzi, Rodrigo A Gutiérrez

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.4field-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

28 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Genome-Scale Investigation ofInternational journal of molecular sciences · 2022
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  16. Hit-and-run transcriptional control by bZIP1 mediates rapid nutrient signaling in Arabidopsis.Proceedings of the National Academy of Sciences of the United States of America · 2014
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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

7 authors at 4 institutions in 3 countries.

Gabriel KroukCenter for Genomics & Systems Biology, New York University, Department of Biology, New York, New York, United States of America.
Daniel Tranchina
Laurence Lejay
Alexis A Cruikshank
Dennis Shasha
Gloria M Coruzzi
Rodrigo A Gutiérrez
New York University · USCourant Institute of Mathematical Sciences · USCentre National de la Recherche Scientifique · FRInstitut des Sciences des Plantes de Montpellier · FR

Funding

REGULATION OF AMINO ACID BIOSYNTHESIS GENES IN PLANTSR01GM032877 · NIGMS · ROCKEFELLER UNIVERSITY · PI CORUZZI, GLORIA · 1985 to 2012
$4.8M
NIGMS NIH HHS GM032877NIGMS NIH HHS R01 GM032877
6 · The paper itself

Abstract

As sessile organisms, plants must cope with multiple and combined variations of signals in their environment. However, very few reports have studied the genome-wide effects of systematic signal combinations on gene expression. Here, we evaluate a high level of signal integration, by modeling genome-wide expression patterns under a factorial combination of carbon (C), light (L), and nitrogen (N) as binary factors in two organs (O), roots and leaves. Signal management is different between C, N, and L and in shoots and roots. For example, L is the major factor controlling gene expression in leaves. However, in roots there is no obvious prominent signal, and signal interaction is stronger. The major signal interaction events detected genome wide in Arabidopsis roots are deciphered and summarized in a comprehensive conceptual model. Surprisingly, global analysis of gene expression in response to C, N, L, and O revealed that the number of genes controlled by a signal is proportional to the magnitude of the gene expression changes elicited by the signal. These results uncovered a strong constraining structure in plant cell signaling pathways, which prompted us to propose the existence of a "code" of signal integration.

Indexed as

Models, BiologicalAdaptation, PhysiologicalArabidopsisArabidopsis ProteinsComputer SimulationCuesGene Expression RegulationPlant LeavesPlant RootsProteomeSignal TransductionArabidopsis ProteinsProteome

Identifiers

PMID19300494
PMCPMC2652106
OpenAlexW1966181675

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.