Evidence map›Paper›PMID 39179593›Full record

ArticleNature communications2024

An economic demand-based framework for prioritization strategies in response to transient amino acid limitations.

Ritu Gupta, Swagata Adhikary, Nidhi Dalpatraj, Sunil Laxman

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ritu Gupta *Institute for Stem Cell Science and Regenerative Medicine (inStem), GKVK Post Bellary Road, Bangalore, India.
Swagata Adhikary *Institute for Stem Cell Science and Regenerative Medicine (inStem), GKVK Post Bellary Road, Bangalore, India.
Nidhi DalpatrajInstitute for Stem Cell Science and Regenerative Medicine (inStem), GKVK Post Bellary Road, Bangalore, India.ORCID 0000-0002-5610-1148
Sunil LaxmanInstitute for Stem Cell Science and Regenerative Medicine (inStem), GKVK Post Bellary Road, Bangalore, India. sunil@instem.res.in.ORCID 0000-0002-0861-5080

Funding

DBT India Alliance (Wellcome Trust/DBT India Alliance) IA/S/21/2/505922DBT-Wellcome Trust India Alliance IA/S/21/2/505922Department of Biotechnology, Ministry of Science and Technology (DBT) S. Ramachandran NBIOSWellcome Trust
6 · The paper itself

Abstract

Cells contain disparate amounts of distinct amino acids, each of which has different metabolic and chemical origins, but the supply cost vs demand requirements of each is unclear. Here, using yeast we quantify the restoration-responses after disrupting amino acid supply, and uncover a hierarchically prioritized restoration strategy for distinct amino acids. We comprehensively calculate individual amino acid biosynthetic supply costs, quantify total demand for an amino acid, and estimate cumulative supply/demand requirements for each amino acid. Through this, we discover that the restoration priority is driven by the gross demand for an amino acid, which is itself coupled to low supply costs for that amino acid. Demand from metabolic requirements dominate the demand-pulls for an amino acid, as exemplified by the largest restoration response upon disrupting arginine supply. Collectively, this demand-driven framework that drives the amino acid economy can identify novel amino acid responses, and help design metabolic engineering applications.

Indexed as

Amino AcidsSaccharomyces cerevisiaeArginineMetabolic EngineeringAmino AcidsArginine

Identifiers

PMID39179593
PMCPMC11344141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.