Evidence map›Paper›PMID 39482470›Full record

ArticleNature chemical biology2025

A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery.

Alice Dini, Harlan Barker, Emilia Piki, Subodh Sharma, Juuli Raivola, Astrid Murumägi, Daniela Ungureanu

Abstract read
In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Simvastatin Restores Cisplatin Sensitivity by Suppressing the Caveolin-1-Mediated PI3K/AKT Signaling Pathway in Cisplatin-Resistant Cervical Cancer Cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Medea: An omics AI agent for therapeutic discovery.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Alice DiniDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.ORCID 0000-0002-2720-4551
Harlan BarkerDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Emilia PikiDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.ORCID 0000-0001-6662-0518
Subodh SharmaDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Juuli RaivolaApplied Tumor Genomics, Research Program Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Astrid MurumägiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Daniela UngureanuDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland. daniela.ungureanu@oulu.fi.ORCID 0000-0002-9314-4972

Funding

Academy of Finland (Suomen Akatemia) 271845Academy of Finland (Suomen Akatemia) 288475Academy of Finland (Suomen Akatemia) 333583Academy of Finland (Suomen Akatemia) 336449Academy of Finland (Suomen Akatemia) 349787
6 · The paper itself

Abstract

The gene-regulatory dynamics governing drug responses in cancer are yet to be fully understood. Here, we report a pipeline capable of producing high-throughput pharmacotranscriptomic profiling through live-cell barcoding using antibody-oligonucleotide conjugates. This pipeline combines drug screening with 96-plex single-cell RNA sequencing. We show the potential of this approach by exploring the heterogeneous transcriptional landscape of primary high-grade serous ovarian cancer (HGSOC) cells after treatment with 45 drugs, with 13 distinct classes of mechanisms of action. A subset of phosphatidylinositol 3-OH kinase (PI3K), protein kinase B (AKT) and mammalian target of rapamycin (mTOR) inhibitors induced the activation of receptor tyrosine kinases, such as the epithelial growth factor receptor (EGFR), and this was mediated by the upregulation of caveolin 1 (CAV1). This drug resistance feedback loop could be mitigated by the synergistic action of agents targeting PI3K-AKT-mTOR and EGFR for HGSOC with CAV1 and EGFR expression. Using this workflow could enable the personalized testing of patient-derived tumor samples at single-cell resolution.

Indexed as

Antineoplastic AgentsDrug DiscoveryOvarian NeoplasmsRNA-SeqSingle-Cell AnalysisCell Line, TumorErbB ReceptorsFemaleHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSingle-Cell Gene Expression AnalysisTOR Serine-Threonine KinasesAntineoplastic AgentsErbB ReceptorsMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine Kinases

Identifiers

PMID39482470
PMCPMC11867973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.