Evidence map›Paper›PMID 39462995›Full record

ReviewEssays in biochemistry2024

Understanding metabolic plasticity at single cell resolution.

Christina C Abbate, Jason Hu, John G Albeck

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Christina C AbbateDepartment of Molecular and Cellular Biology, University of California, Davis, U.S.A.
Jason HuDepartment of Molecular and Cellular Biology, University of California, Davis, U.S.A.
John G AlbeckDepartment of Molecular and Cellular Biology, University of California, Davis, U.S.A.ORCID 0000-0003-2688-8653

Funding

UC Davis MCB T32 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility (DEIA) MentorshipT32GM007377 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI CHEDIN, FREDERIC LOUIS · 1985 to 2023
$9.9M
Decoding temporal epithelial signaling programs to restore homeostasis in acute lung injuryR01HL151983 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ALBECK, JOHN G. · 2021 to 2024
$2.4M
Control of gene expression by dynamic metabolic oscillationsR35GM139621 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ALBECK, JOHN G. · 2021 to 2025
$1.9M
National Heart, Lung, and Blood Institute (NHLBI) 5R01HL151983National Institute of General Medical Sciences (NIGMS) 5R35GM139621National Institute of General Medical Sciences (NIGMS) T32GM007377NHLBI NIH HHS R01 HL151983NIGMS NIH HHS R35 GM139621NIGMS NIH HHS T32 GM007377
6 · The paper itself

Abstract

It is increasingly clear that cellular metabolic function varies not just between cells of different tissues, but also within tissues and cell types. In this essay, we envision how differences in central carbon metabolism arise from multiple sources, including the cell cycle, circadian rhythms, intrinsic metabolic cycles, and others. We also discuss and compare methods that enable such variation to be detected, including single-cell metabolomics and RNA-sequencing. We pay particular attention to biosensors for AMPK and central carbon metabolites, which when used in combination with metabolic perturbations, provide clear evidence of cellular variance in metabolic function.

Indexed as

Single-Cell AnalysisAnimalsCarbonCell CycleCircadian RhythmHumansMetabolomicsCarbonadenosine triphosphatefluorescence resonance energy transferglycolysismetabolic regulationoxidative phosphorylationsystems biology

Identifiers

PMID39462995
PMCPMC11576188

What Socratic 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 Socratic graph.