Evidence map›Paper›PMID 41308634›Full record

ArticleCell proliferation2026

Multiplexed Transcriptomics for Screening Drug Combinations and Defining the Mechanism of Action of HCC Therapeutics at Single-Cell Resolution.

Mengmeng Jiang, Haide Chen, Guoxia Wen, Yuqing Mei, Wenzhao Zhou, Bin Xu, Tingyue Zhang, Guangyan Li, Junqing Wu, Xiaoping Han and 3 more

Abstract read
In one paragraph

Article in Cell proliferation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Mengmeng JiangLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0000-0870-4254
Haide ChenLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-1930-3867
Guoxia WenLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-6544-8242
Yuqing MeiBone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-3438-0139
Wenzhao ZhouLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-8266-6188
Bin XuLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0003-9487-9414
Tingyue ZhangLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0005-0629-4745
Guangyan LiLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0003-7246-9991
Junqing WuBone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0009-0008-0243-4554
Xiaoping HanBone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-3201-7635
Xudong FuLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-7024-0200
Guoji GuoLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-1716-4621
Jingjing WangLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-6006-2727

Funding

The National Natural Science Foundation of China 32570784The National Natural Science Foundation of China 82090012The National Natural Science Foundation of China 82400178Zhejiang Provincial Natural Science Foundation of China LQ24H080006Zhejiang Provincial Natural Science Foundation of China LTGC23C070002Zhejiang Provincial Natural Science Foundation of China LTGC24B050001
6 · The paper itself

Abstract

Compared to classical drug screening, single-cell screening not only significantly enhances throughput but also provides richer transcriptional response information. In this study, we employed the high-throughput and high-sensitive single-nucleus sequencing platform, snHH-seq, to screen clinical drug combinations with anti-hepatocellular carcinoma (HCC) activity. Single-cell transcriptomics analysis revealed that the HY combination (HHT and YM155) exhibited the strongest suppression of tumour cell proliferation, a finding validated by both in vitro and in vivo functional assays. Further investigation suggested that HY triggers ferroptosis, as evidenced by rescue from cell death upon co-treatment with the ferroptosis inhibitor Fer-1. Subcluster analysis identified distinct tumour cell subclusters' responses to HY treatment. A gene regulatory network analysis highlighted JUN as a key regulator mediating proliferation inhibition, primarily active in the apoptotic cell subcluster. These findings illustrate how integrating high-throughput screening with mechanistic dissection can accelerate the discovery of targeted drug combination therapies, and offer a blueprint for precise interventions using pathway vulnerabilities and cellular heterogeneity in HCC.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularLiver NeoplasmsSingle-Cell AnalysisTranscriptomeAnimalsApoptosisCell Line, TumorCell ProliferationDrug Screening Assays, AntitumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHigh-Throughput Screening AssaysHumansSingle-Cell Gene Expression AnalysisAntineoplastic Agentsanticancer therapydrug combinationdrug screeningHCCsingle cell

Identifiers

PMID41308634
PMCPMC13241834

What OpenQuestion holds

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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.