Evidence map›Paper›PMID 41746989›Full record

ArticlePloS one2026

Temporal dynamics and functional annotation of transcriptome rhythmicity in HEK293T cells.

Yuling Sun, Huiyu Dong, Fei Ge, Ying Zhao, Shuhan Yang, Yidong Ding, Min Dong, Liming Wang, Tao Zhang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuling SunJiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control, Suzhou Vocational Health College, Suzhou, China.
Huiyu DongDepartment of Clinical Medicine, Suzhou Vocational Health College, Suzhou, China.
Fei GeDepartment of Basic Medicine, Suzhou Vocational Health College, Suzhou, China.
Ying ZhaoJiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control, Suzhou Vocational Health College, Suzhou, China.
Shuhan YangJiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control, Suzhou Vocational Health College, Suzhou, China.
Yidong DingDepartment of Clinical Medicine, Suzhou Vocational Health College, Suzhou, China.
Min DongDepartment of Basic Medicine, Suzhou Vocational Health College, Suzhou, China.
Liming WangDepartment of Basic Medicine, Suzhou Vocational Health College, Suzhou, China.
Tao ZhangJiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control, Suzhou Vocational Health College, Suzhou, China.ORCID https://orcid.org/0000-0002-1163-9470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endogenous circadian clock drives rhythmic processes in nearly all human cells; however, the temporal organization of the transcriptome in HEK293T cells, a widely used cell line, remains incompletely defined. We synchronized HEK293T cells and performed RNA sequencing at thirteen time points across a 48-hour cycle to map their transcriptome dynamics. Across the time course, principal component analysis revealed clear time point dependent separation of the global transcriptomes; however, coefficient of variation analyses indicated substantially increased divergence among biological replicates starting at T28. In addition, canonical core clock genes showed no detectable circadian rhythmicity when the analysis window extended beyond 28 hours. Genome-wide, only 785 expressed genes displayed rhythmic expression. These rhythmic genes were enriched for cytoplasmic and nuclear compartments, cytoskeletal and membrane related structures, and molecular functions including GTPase activator activity and metal ion binding. Further analysis of expression patterns among arrhythmic genes revealed that only 645 arrhythmic genes displayed time-dependent expression; notably, these genes were enriched in biologically important pathways, including G alpha signaling and structural constituents of chromatin. Together, these results indicate that HEK293T cells exhibit weak intrinsic circadian transcriptome rhythmicity, with most transcripts remaining time independent across the sampled window. This dataset provides a time resolved reference framework to distinguish time-dependent from time-independent gene regulation in HEK293T cells, informing time aware experimental design and interpretation.

Identifiers

PMID41746989
PMCPMC12944709

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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.