Evidence map›Paper›PMID 36321827›Full record

ArticlemSystems2022

Coordination of CcpA and CodY Regulators in Staphylococcus aureus USA300 Strains.

Saugat Poudel, Ying Hefner, Richard Szubin, Anand Sastry, Ye Gao, Victor Nizet, Bernhard O Palsson

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. mBio · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. CcpA promotesmLife · 2025
    Article
  8. Growth and acetate metabolism ofApplied and environmental microbiology · 2025
    Article
  9. Article
  10. Characterizing theJournal of bacteriology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Integrated genomic and proteomic analysis of the mouse-adaptedCurrent research in microbial sciences · 2025
    Article
  15. Machine learning and network analysis with focus on the biofilm inComputational and structural biotechnology journal · 2024
    Article
  16. Article
  17. Identification ofVirulence · 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

7 authors at 1 institution in 1 country.

Saugat PoudelDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Ying HefnerDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Richard SzubinDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Anand SastryDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Ye GaoDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Victor NizetCollaborative to Halt Antibiotic-Resistant Microbes (CHARM), Department of Pediatrics, University of California San Diego, San Diego, California, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
University of California, San Diego · US

Funding

Systems Biology Approach to Redefine Susceptibility Testing and Treatment of MDR Pathogens in the Context of Host ImmunityU01AI124316 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2016 to 2020
$10.2M
NIAID NIH HHS U01 AI124316
6 · The paper itself

Abstract

The complex cross talk between metabolism and gene regulatory networks makes it difficult to untangle individual constituents and study their precise roles and interactions. To address this issue, we modularized the transcriptional regulatory network (TRN) of the Staphylococcus aureus USA300 strain by applying independent component analysis (ICA) to 385 RNA sequencing samples. We then combined the modular TRN model with a metabolic model to study the regulation of carbon and amino acid metabolism. Our analysis showed that regulation of central carbon metabolism by CcpA and amino acid biosynthesis by CodY are closely coordinated. In general, S. aureus increases the expression of CodY-regulated genes in the presence of preferred carbon sources such as glucose. This transcriptional coordination was corroborated by metabolic model simulations that also showed increased amino acid biosynthesis in the presence of glucose. Further, we found that CodY and CcpA cooperatively regulate the expression of ribosome hibernation-promoting factor, thus linking metabolic cues with translation. In line with this hypothesis, expression of CodY-regulated genes is tightly correlated with expression of genes encoding ribosomal proteins. Together, we propose a coarse-grained model where expression of S. aureus genes encoding enzymes that control carbon flux and nitrogen flux through the system is coregulated with expression of translation machinery to modularly control protein synthesis. While this work focuses on three key regulators, the full TRN model we present contains 76 total independently modulated sets of genes, each with the potential to uncover other complex regulatory structures and interactions.

Indexed as

Staphylococcal InfectionsStaphylococcus aureusAmino AcidsGlucoseHumansRepressor ProteinsVirulenceAmino AcidsGlucoseRepressor Proteinsgene regulationmetabolismnetwork modelingStaphylococcus aureus

Identifiers

PMID36321827
PMCPMC9765215
OpenAlexW4308141437

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.