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Record W7117582307 · doi:10.1242/bio.062432

Spatial heterogeneity of lactylation: insights into gene expression, metabolism, and lactate transport in human embryonic stem cells

2025· article· en· W7117582307 on OpenAlexafffund
Alexandra M. Kozlov, Zuleika C. L. Leung, Rachel B. Wilson, Sukhdeep Bhangal, Karen Nygard, Andrew M. Powell, Nica M. Borradaile, Dean H. Betts, Robert C. Cumming

Bibliographic record

VenueBiology Open · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsChildren’s Health Research InstituteLawson Health Research InstituteWestern University
FundersNatural Sciences and Engineering Research Council of CanadaWestern University
KeywordsSOX2Induced pluripotent stem cellEmbryonic stem cellReprogrammingHistoneAcetylationRegenerative medicineStem cellPhenotype

Abstract

fetched live from OpenAlex

Low reprogramming efficiency and high phenotypic variability hinder the regenerative medicine applications of human pluripotent stem cells. Understanding the mechanisms that regulate pluripotency is crucial to overcoming these challenges. This study investigated the relationship between lactylation, a newly identified regulator of gene expression, pluripotency, metabolism, and lactate transport in human embryonic stem cells (hESCs). Histone lactylation levels were significantly higher in hESCs than in differentiated cells. Further, exogenous lactate increased histone lactylation and acetylation levels and altered pluripotency gene expression, notably increasing KLF4, KLF5, GBX2, and DMNT3L in hESCs. Finally, naïve-like hESC colonies exhibited higher lactylation levels peripherally, coinciding with elevated peripheral SOX2 levels. Conversely, lactate transport and production protein levels were higher centrally. This study suggests that elevated histone lysine lactylation levels are a newly identified characteristic of human pluripotency. The spatial distribution findings are consistent with a positive relationship between histone lactylation and SOX2 expression in naïve-like hESCs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.307
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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