Evidence map›Paper›PMID 39874963›Full record

ArticleCell chemical biology2025

A genetically encoded fluorescent biosensor for visualization of acetyl-CoA in live cells.

Joseph J Smith, Taylor R Valentino, Austin H Ablicki, Riddhidev Banerjee, Adam R Colligan, Debra M Eckert, Gabrielle A Desjardins, Katharine L Diehl

Abstract read
In one paragraph

Article in Cell chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Joseph J SmithDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Taylor R ValentinoDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Austin H AblickiDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Riddhidev BanerjeeDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Adam R ColliganARC Tangents Analytics, Salt Lake City, UT 84108, USA.
Debra M EckertDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Gabrielle A DesjardinsDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Katharine L DiehlDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: k.diehl@utah.edu.

Funding

Eavesdropping on the conversation between chromatin and metabolismR35GM143080 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI DIEHL, KATHARINE · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143080
6 · The paper itself

Abstract

Acetyl-coenzyme A is a central metabolite that participates in many cellular pathways. Evidence suggests that acetyl-CoA metabolism is highly compartmentalized in mammalian cells. Yet methods to measure acetyl-CoA in living cells are lacking. Herein, we engineered an acetyl-CoA biosensor from the bacterial protein PanZ and circularly permuted green fluorescent protein (cpGFP). The sensor, "PancACe," has a maximum change of ∼2-fold and a response range of ∼10 μM-2 mM acetyl-CoA. We demonstrated that the sensor has a greater than 7-fold selectivity over coenzyme A, butyryl-CoA, malonyl-CoA, and succinyl-CoA, and a 2.3-fold selectivity over propionyl-CoA. We expressed the sensor in E. coli and showed that it enables detection of rapid changes in acetyl-CoA levels. By localizing the sensor to either the cytoplasm, nucleus, or mitochondria in human cells, we showed that it enables subcellular detection of changes in acetyl-CoA levels, the magnitudes of which agreed with an orthogonal PicoProbe assay.

Indexed as

Acetyl Coenzyme ABiosensing TechniquesFluorescent DyesGreen Fluorescent ProteinsBacterial ProteinsEscherichia coliHEK293 CellsHeLa CellsHumansAcetyl Coenzyme ABacterial ProteinsFluorescent DyesGreen Fluorescent Proteinsacetyl-CoAbiosensorcoenzyme Ametabolismmetaboliteprotein engineering

Identifiers

PMID39874963
PMCPMC11848811

What Socratic 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 Socratic graph.