Evidence map›Paper›PMID 40295632›Full record

ArticleCommunications biology2025

Single-nucleus RNA sequencing reveals a preclinical model for the most common subtype of glioblastoma.

Laura García-Vicente, María Martínez-Fernández, Michael Borja, Vanessa Tran, Andrea Álvarez-Vázquez, Raquel Flores-Hernández, Yuxin Ding, Raúl González-Sánchez, Alejandro Granados, Erin McGeever and 7 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  9. The Src inhibitor peptide TAT-Cx43Neuro-oncology advances
    Article
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

17 authors.

Laura García-VicenteNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.ORCID https://orcid.org/0000-0001-8746-1050
María Martínez-FernándezNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.ORCID https://orcid.org/0000-0002-7800-2407
Michael BorjaChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0009-0006-4527-3370
Vanessa TranChan Zuckerberg Biohub, San Francisco, USA.
Andrea Álvarez-VázquezNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.ORCID http://orcid.org/0000-0002-8626-8926
Raquel Flores-HernándezNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.ORCID http://orcid.org/0000-0003-4697-5180
Yuxin DingNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.ORCID https://orcid.org/0000-0003-1384-7967
Raúl González-SánchezNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain.
Alejandro GranadosChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0000-0002-6275-9800
Erin McGeeverChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0000-0003-1596-207X
Yang-Joon KimChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0000-0003-1742-5657
Angela DetweilerChan Zuckerberg Biohub, San Francisco, USA.ORCID http://orcid.org/0000-0001-7026-5467
Honey MekonenChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0009-0001-7959-1151
Sheryl PaulChan Zuckerberg Biohub, San Francisco, USA.ORCID https://orcid.org/0009-0008-7063-2026
Angela O PiscoChan Zuckerberg Biohub, San Francisco, USA.ORCID http://orcid.org/0000-0003-0142-2355
Norma F NeffChan Zuckerberg Biohub, San Francisco, USA.ORCID http://orcid.org/0000-0001-7141-5420
Arantxa TaberneroNeuroscience Institute of Castile-Leon (INCYL), iBRAINS-IN-CyL, Department of Biochemistry and Molecular Biology, Biomedical Research Institute of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain. ataber@usal.es.ORCID http://orcid.org/0000-0001-6302-6134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different glioblastoma (GBM) subtypes have been identified based on the tumor microenvironment (TME). The discovery of new therapies for these hard-to-treat tumors requires a thorough characterization of preclinical models, including their TME, to apply preclinical results to the most similar GBM subtype. Using single-nucleus RNA sequencing (snRNA-seq), we characterized the tumor and TME in an immunocompetent mouse model with intracranially implanted GBM stem cells at different stages and treatments. Visium spatial transcriptomics confirmed the location of annotated cells. This model exhibits GBM targets related to integration into neural circuits - Grik2, Nlgn3, Gap43 or Kcnn4-, immunoevasion - Nt5e, Cd274 or Irf8- and immunosuppression - Csf1r, Arg1, Mrc1 and Tgfb1. The landscape of cytokines, checkpoint ligands and receptors uncovered Mrc1, PD-L1, TIM-3 or B7-H3, among the immunotherapy targets that can be addressed in this model. The comparison with human GBMs unveiled crucial similarities with TME

Indexed as

Brain NeoplasmsGlioblastomaAnimalsCell Line, TumorDisease Models, AnimalGene Expression Regulation, NeoplasticHumansMiceSequence Analysis, RNASingle-Cell AnalysisTumor Microenvironment

Identifiers

PMID40295632
PMCPMC12037721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.