Evidence map›Paper›PMID 39120961›Full record

ArticleACS synthetic biology2024

How Does

Chen Liao, Priyanka Priyanka, Yi-Hui Lai, Christopher V Rao, Ting Lu

Abstract read
In one paragraph

Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

5 authors.

Chen LiaoDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Priyanka PriyankaDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Yi-Hui LaiDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Christopher V RaoCenter for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0001-5606-4204
Ting LuDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0001-9043-3253

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Integrative Circuit-Host Modeling of Synthetic Gene NetworksR35GM133579 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LU, TING · 2019 to 2023
$1.9M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R35 GM133579
6 · The paper itself

Abstract

Microorganisms are shown to actively partition their intracellular resources, such as proteins, for growth optimization. Recent experiments have begun to reveal molecular components unpinning the partition; however, quantitatively, it remains unclear how individual parts orchestrate to yield precise resource allocation that is both robust and dynamic. Here, we developed a coarse-grained mathematical framework that centers on guanosine pentaphosphate (ppGpp)-mediated regulation and used it to systematically uncover the design principles of proteome allocation in

Indexed as

Escherichia coliProteomeRibosomesAmino AcidsEscherichia coli ProteinsGuanosine PentaphosphateKineticsModels, BiologicalAmino AcidsEscherichia coli ProteinsGuanosine PentaphosphateProteomedesign principlesnegative feedback controlppGppresource allocationultrasensitivity

Identifiers

PMID39120961
PMCPMC11415281

What OpenQuestion holds

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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.