Evidence map›Paper›PMID 27693354›Full record

ArticleCell2016

Functional Metabolomics Describes the Yeast Biosynthetic Regulome.

Michael Mülleder, Enrica Calvani, Mohammad Tauqeer Alam, Richard Kangda Wang, Florian Eckerstorfer, Aleksej Zelezniak, Markus Ralser

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
11.0field-weighted citation impact, top 1% 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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 188 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  15. Uracil-DNA Glycosylase fromInternational journal of molecular sciences · 2025
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  20. Uga3 influences nitrogen metabolism inMicrobial cell (Graz, Austria) · 2025
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42 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Michael MüllederDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK; The Francis Crick Institute, Mill Hill Laboratory, Mill Hill, London NW7 1AA, UK.
Enrica CalvaniDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK; The Francis Crick Institute, Mill Hill Laboratory, Mill Hill, London NW7 1AA, UK.
Mohammad Tauqeer AlamDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK.
Richard Kangda WangDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK.
Florian EckerstorferDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK.
Aleksej ZelezniakDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK; The Francis Crick Institute, Mill Hill Laboratory, Mill Hill, London NW7 1AA, UK.
Markus RalserDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK; The Francis Crick Institute, Mill Hill Laboratory, Mill Hill, London NW7 1AA, UK. Electronic address: markus.ralser@crick.ac.uk.
University of Cambridge · GBThe Francis Crick Institute · GB

Funding

Cancer Research UK FC001134MRCWellcome TrustWellcome Trust 200829/Z/16/ZWellcome Trust RG 093735/Z/10/Z
6 · The paper itself

Abstract

Genome-metabolism interactions enable cell growth. To probe the extent of these interactions and delineate their functional contributions, we quantified the Saccharomyces amino acid metabolome and its response to systematic gene deletion. Over one-third of coding genes, in particular those important for chromatin dynamics, translation, and transport, contribute to biosynthetic metabolism. Specific amino acid signatures characterize genes of similar function. This enabled us to exploit functional metabolomics to connect metabolic regulators to their effectors, as exemplified by TORC1, whose inhibition in exponentially growing cells is shown to match an interruption in endomembrane transport. Providing orthogonal information compared to physical and genetic interaction networks, metabolomic signatures cluster more than half of the so far uncharacterized yeast genes and provide functional annotation for them. A major part of coding genes is therefore participating in gene-metabolism interactions that expose the metabolism regulatory network and enable access to an underexplored space in gene function.

Indexed as

MetabolomeAmino AcidsChromatinGene DeletionGene Expression Regulation, FungalGene Regulatory NetworksMetabolomicsMultigene FamilyPhosphatidylinositol 3-KinasesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsTranscription, GeneticAmino AcidsChromatinPhosphatidylinositol 3-KinasesSaccharomyces cerevisiae ProteinsTOR1 protein, S cerevisiaeTORC1 protein complex, S cerevisiaeTranscription Factorsamino acidsfunctional gene annotationfunctional metabolomicsmass spectrometrymetabolismtarget of rapamycin (TOR)unknown gene functionvesicle mediated transportyeast gene deletion collection

Identifiers

PMID27693354
PMCPMC5055083
OpenAlexW2523811837

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.