Evidence map›Paper›PMID 28126921›Full record

ArticleNucleic acids research2017

Integrative FourD omics approach profiles the target network of the carbon storage regulatory system.

Steven W Sowa, Grant Gelderman, Abigail N Leistra, Aishwarya Buvanendiran, Sarah Lipp, Areen Pitaktong, Christopher A Vakulskas, Tony Romeo, Michael Baldea, Lydia M Contreras

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  8. Multitier regulation of theJournal of bacteriology · 2024
    Article
  9. Article
  10. CsrA Shows Selective Regulation of sRNA-mRNA Networks.bioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. CsrA selectively modulates sRNA-mRNA regulator outcomes.Frontiers in molecular biosciences · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
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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

10 authors.

Steven W SowaMicrobiology Graduate Program, University of Texas at Austin, 100 E. 24th Street Stop A6500, Austin, TX 78712, USA.
Grant GeldermanMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.
Abigail N LeistraMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.
Aishwarya BuvanendiranBiological Sciences Program College of Natural Sciences, University of Texas at Austin, 120 Inner Campus Drive Stop G2500, Austin, TX 78712, USA.
Sarah LippMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.
Areen PitaktongMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.
Christopher A VakulskasDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611-0700, USA.
Tony RomeoDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611-0700, USA.
Michael BaldeaMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.
Lydia M ContrerasMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton Street Stop C0400, Austin, TX 78712, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-target regulators represent a largely untapped area for metabolic engineering and anti-bacterial development. These regulators are complex to characterize because they often act at multiple levels, affecting proteins, transcripts and metabolites. Therefore, single omics experiments cannot profile their underlying targets and mechanisms. In this work, we used an Integrative FourD omics approach (INFO) that consists of collecting and analyzing systems data throughout multiple time points, using multiple genetic backgrounds, and multiple omics approaches (transcriptomics, proteomics and high throughput sequencing crosslinking immunoprecipitation) to evaluate simultaneous changes in gene expression after imposing an environmental stress that accentuates the regulatory features of a network. Using this approach, we profiled the targets and potential regulatory mechanisms of a global regulatory system, the well-studied carbon storage regulatory (Csr) system of Escherichia coli, which is widespread among bacteria. Using 126 sets of proteomics and transcriptomics data, we identified 136 potential direct CsrA targets, including 50 novel ones, categorized their behaviors into distinct regulatory patterns, and performed in vivo fluorescence-based follow up experiments. The results of this work validate 17 novel mRNAs as authentic direct CsrA targets and demonstrate a generalizable strategy to integrate multiple lines of omics data to identify a core pool of regulator targets.

Indexed as

GenomicsMetabolomicsProteomicsCarbonEscherichia coliEscherichia coli ProteinsGene Expression RegulationGene Expression Regulation, BacterialMetabolic EngineeringMetabolomeModels, BiologicalProteomeRepressor ProteinsRNA-Binding ProteinsStress, PhysiologicalTranscriptomeCarbonCsrA protein, E coliEscherichia coli ProteinsProteomeRepressor ProteinsRNA-Binding Proteins

Identifiers

PMID28126921
PMCPMC5389547

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.