Evidence map›Paper›PMID 41516360›Full record

ArticleInternational journal of molecular sciences2026

Long-Read Sequencing Reveals Cell- and State-Specific Alternative Splicing in 293T and A549 Cell Transcriptomes.

Xin Li, Hanyun Que, Zhaoyu Liu, Guoqing Xu, Yipeng Wang, Zhaotong Cong, Liang Leng, Sha Wu, Chunyan Chen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

9 authors.

Xin LiInstitute for Chinese Medicine Frontier Interdisciplinary Science and Technology, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Hanyun QueInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Zhaoyu LiuInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0002-8081-4228
Guoqing XuInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yipeng WangDepartment of Biopharmaceutical Sciences, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China.
Zhaotong CongInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Liang LengInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0002-9629-6808
Sha WuInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Chunyan ChenInstitute for Chinese Medicine Frontier Interdisciplinary Science and Technology, Shaanxi University of Chinese Medicine, Xianyang 712046, China.

Funding

National Natural Science Foundation of China 32200576Natural Science Basic Research Plan in Shaanxi Province of China 2025JC-YBQN-1168Sichuan Provincial Administration of Traditional Chinese Medicine Special Fund 600162241001the Natural Science Foundation of Sichuan 2025NSFJQ0032the talented person scientific research starts funds subsidization project of Chengdu University of Traditional Chinese Medicine 030040043
6 · The paper itself

Abstract

Alternative splicing (AS) is a fundamental mechanism governing transcriptomic diversity and cellular identity. Although 293T (human embryonic kidney) and A549 (human lung adenocarcinoma) cell lines are widely used, cell-type-specific splicing dynamics-including responses to receptor overexpression-remain incompletely characterized. To address this, we integrated Oxford Nanopore long-read sequencing with BGI short-read data to profile transcriptomes under both basal and GPCR-overexpressing conditions (

Indexed as

Alternative SplicingTranscriptomeA549 CellsGene Expression ProfilingHEK293 CellsHumansProtein IsoformsProtein Isoforms293TA549differentially expressed genes (DEGs)FLAIRgenes with differential transcript usage (gDTUs)RNA-seqSQANTI3

Identifiers

PMID41516360
PMCPMC12787195

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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.