Evidence map›Paper›PMID 42586062›Full record

ReviewCell chemical biology2026

Beyond acetylation: Evaluating the emerging biology of lysine acylation.

Jordi C J Hintzen, George M Burslem

Abstract readReview
In one paragraph

Review in Cell chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jordi C J HintzenDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA. Electronic address: jordi.hintzen@pennmedicine.upenn.edu.
George M BurslemDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA; Department of Cancer Biology and Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA. Electronic address: george.burslem@pennmedicine.upenn.edu.

Funding

Editing Acetylation and Protein HomeostasisR35GM142505 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI George Burslem · 2021 to 2026
$2.7M
NIGMS NIH HHS R35 GM142505
6 · The paper itself

Abstract

Lysine acylation has emerged as a rapidly expanding family of post-translational modifications that directly links cellular metabolism to protein regulation. Beyond lysine acetylation, advances in mass spectrometry and chemical biology have uncovered a diverse repertoire of acyl modifications spanning short-chain, branched, unsaturated, aromatic, and dicarboxylic groups. Together these modifications establish lysine acylation as a molecular interface through which metabolic state can shape protein function, chromatin regulation, and cell signaling. Yet fundamental questions remain regarding their biological significance, enzymatic regulation, site specificity, and whether many acylations function as bona fide regulatory signals or reflect metabolite-driven mechanisms. Here, we synthesize the current understanding of the metabolic origins, structural and biochemical properties, and their writer, reader, and eraser systems that govern lysine acylations. We further highlight emerging chemical biology approaches for detecting, manipulating, and functionally interrogating acyl marks and discuss the conceptual and technological advances needed to distinguish closely related modifications and establish their causal biological roles.

Indexed as

acylationepigeneticslysine post-translational modificationsmass spectrometrymetabolismPTMs

Identifiers

PMID42586062
PMCPMC13505415

What OpenQuestion holds

Textmetadata
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.