Evidence map›Paper›PMID 22082910›Full record

ArticleNature chemical biology2011

Deciphering the transcriptional regulatory logic of amino acid metabolism.

Byung-Kwan Cho, Stephen Federowicz, Young-Seoub Park, Karsten Zengler, Bernhard Ø Palsson

Abstract read
In one paragraph

Article in Nature chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
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

59 citing papers in PubMed.

  1. Article
  2. Article
  3. Rewiring Amino Acid Flux for Efficient Transglutaminase Production inJournal of agricultural and food chemistry · 2026
    Article
  4. FFoods (Basel, Switzerland) · 2026
    Article
  5. The Algorithm for Reversible Jump Inference of Motifs.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Byung-Kwan ChoDepartment of Bioengineering, University of California at San Diego, La Jolla, California, USA. bkcho01@gmail.com
Stephen Federowicz
Young-Seoub Park
Karsten Zengler
Bernhard Ø Palsson

Funding

Testable in silico Hypotheses for E.coli GrowthR01GM062791 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2002 to 2009
$4.4M
NIGMS NIH HHS GM062791NIGMS NIH HHS R01 GM062791
6 · The paper itself

Abstract

Although metabolic networks have been reconstructed on a genome scale, the corresponding reconstruction and integration of governing transcriptional regulatory networks has not been fully achieved. Here we reconstruct such an integrated network for amino acid metabolism in Escherichia coli. Analysis of ChIP-chip and gene expression data for the transcription factors ArgR, Lrp and TrpR showed that 19 out of 20 amino acid biosynthetic pathways are either directly or indirectly controlled by these regulators. Classifying the regulated genes into three functional categories of transport, biosynthesis and metabolism leads to the elucidation of regulatory motifs that constitute the integrated network's basic building blocks. The regulatory logic of these motifs was determined on the basis of relationships between transcription factor binding and changes in the amount of transcript in response to exogenous amino acids. Remarkably, the resulting logic shows how amino acids are differentiated as signaling and nutrient molecules, revealing the overarching regulatory principles of the amino acid stimulon.

Indexed as

Gene Expression RegulationTranscription, GeneticAmino AcidsEscherichia coliGenome-Wide Association StudyTranscription FactorsAmino AcidsTranscription Factors

Identifiers

PMID22082910
PMCPMC3777760

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Registered trials

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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.