Evidence map›Paper›PMID 35484256›Full record

ReviewNature chemical biology2022

Genetically encoded tools for measuring and manipulating metabolism.

Mangyu Choe, Denis V Titov

Abstract readReview
In one paragraph

Review in Nature chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  15. Imaging Cellular Metabolic Rewiring with SuMMIT-SRS.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Review
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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

2 authors.

Mangyu ChoeDepartment of Nutritional Sciences & Toxicology, University of California, Berkeley, CA, USA.
Denis V TitovDepartment of Nutritional Sciences & Toxicology, University of California, Berkeley, CA, USA. titov@berkeley.edu.ORCID http://orcid.org/0000-0001-5677-0651

Funding

Genetically encoded tools for manipulation of metabolism in vivoDP2GM132933 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI TITOV, DENIS VASILIEVICH · 2018 to 2018
$2.4M
NIGMS NIH HHS DP2 GM132933
6 · The paper itself

Abstract

Over the past few years, we have seen an explosion of novel genetically encoded tools for measuring and manipulating metabolism in live cells and animals. Here, we will review the genetically encoded tools that are available, describe how these tools can be used and outline areas where future development is needed in this fast-paced field. We will focus on tools for direct measurement and manipulation of metabolites. Metabolites are master regulators of metabolism and physiology through their action on metabolic enzymes, signaling enzymes, ion channels and transcription factors, among others. We hope that this Perspective will encourage more people to use these novel reagents or even join this exciting new field to develop novel tools for measuring and manipulating metabolism.

Indexed as

Ion ChannelsSignal TransductionAnimalsHumansIon Channels

Identifiers

PMID35484256
PMCPMC9093021

What OpenQuestion holds

Textmetadata
LicenceTDM
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.