Evidence map›Paper›PMID 42651722›Full record

ArticleBiology2026

Comparative Transcriptomic Profiling in Two Widely Used Human Cell Lines Delineates Their Shared and Distinct Patterns of Interferon Responses.

Jiayao Jiang, Liangliang Zhang, Qianyi Yang, Shuai Chen, Ming-An Sun

Abstract read
In one paragraph

Article in 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

5 authors.

Jiayao JiangInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0009-0004-4960-7572
Liangliang ZhangInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Qianyi YangInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Shuai ChenInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0003-0133-294X
Ming-An SunInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-4661-3027

Funding

China Postdoctoral Science Foundation 2023M732990National Natural Science Foundation of China 32270584Natural Science Foundation of Jiangsu Province BK20240921Natural Science Foundation of the Jiangsu Higher Education Institutions of China 23KJB180028
6 · The paper itself

Abstract

Interferons (IFNs) are a family of cytokines which serve as the first line of defense against pathogen infections while also exerting critical immunomodulatory roles. IFNs can induce hundreds of IFN-stimulated genes (ISGs) with cell-specificity, yet a high-resolution comparison of time-serial ISG induction across cell types is lacking. By using RNA sequencing, we conducted a comparative transcriptomic profiling during time-serial IFN-γ stimulation for up to 24 h in HeLa and HEK293T cells, the two most widely used immortalized human cell lines. We uncovered remarkably stronger IFN responses in HeLa cells, regarding the global transcriptomic dynamics, the number of induced ISGs, and the level of ISG expression. Both cell lines share a core set of ISGs associated with canonical JAK-STAT signaling, yet HeLa uniquely activates additional inflammatory and adaptive immunity-related pathways. Despite the much weaker IFN response in HEK293T cells, we also identified a few HEK293T-specific ISGs, including several with crucial immune-related functions. Notably, transposable elements-including many adjacent to ISGs-are also highly up-regulated in HeLa cells, implying their potential links to ISG induction. Collectively, this study provides a high-resolution temporal atlas of IFN-γ-stimulated transcriptomic dynamics in HeLa and HEK293T cells, revealing the shared core module and cell-specific patterns of their interferon responses.

Indexed as

cell specificityHEK293THeLainterferon responseinterferon-stimulated geneRNA-seq

Identifiers

PMID42651722
PMCPMC13509845

What OpenQuestion holds

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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.