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Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT.

Overview

Authors: Ryuhjin Ahn1,2, Alicia D. D’Souza1,3, Lawrence Long2, Yufei Cui1,2, Jennifer Gantchev4, Gerard Baquer4,5, Danielle Burgenske6, Katrina K. Bakken6, Lauren L. Ott6, Brett L. Carlson6, Grace Zhou7, Ishwar N. Kohale1,2, Charles A. Whittaker1,8, Heidi Temple1, Tomer M. Yaron-Barir9, Jeffrey Wyckoff1,10, Terry C. Burns6, Rachael A. Vaubel6, Cameron T. Flower1,11, Wei Huang12
and 6 other authorsAnn Tuma6, Jared L. Johnson13,14, Nathalie Y. R. Agar15,16, Josie Ursini-Siegel17,18, Sarkaria Jann6, Forest M. White1,2,11
18 affiliations
  1. David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology (MIT),Cambridge, MA USA
  2. Department of Biological Engineering, MIT,Cambridge, MA USA
  3. MIT-Harvard Health Sciences and Technology,Cambridge, MA USA
  4. Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School,Boston, MA USA
  5. Department of Electronic Engineering, Rovira i Virgili University,Tarragona, Spain
  6. Mayo Clinic,Rochester, MN USA
  7. MIT,Cambridge, MA USA
  8. Barbara K. Ostrom (1978) Bioinformatics and Computing Core Facility of the Swanson Biotechnology Center, David H. Koch Institute for Integrative Cancer Research,Cambridge, USA
  9. Columbia University Vagelos College of Physicians and Surgeons,New York, NY USA
  10. Microscopy Core Facility of the Swanson Biotechnology Center, David H. Koch Institute for Integrative Cancer Research,Cambridge, USA
  11. Program in Computational and Systems Biology, MIT,Cambridge, MA USA
  12. Preclinical Imaging and Testing Facility of the Swanson Biotechnology Center, David H. Koch Institute for Integrative Cancer Research, MIT,Cambridge, MA USA
  13. Department of Cell Biology, Harvard Medical School,Boston, MA USA
  14. Dana-Farber Cancer Institute, Harvard Medical School,Boston, MA USA
  15. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School,Boston, MA USA
  16. Department of Cancer Biology, Dana-Farber Cancer Institute,Boston, MA USA
  17. Division of Experimental Medicine, McGill University,Montreal, QC Canada
  18. Lady Davis Institute for Medical Research, Jewish General Hospital,Montreal, QC Canada
Journal: Nature communications, volume 17, issue 1, article 9536
Dates: received 23 May 2025; accepted 30 July 2026; published online 8 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41467-026-76587-0 · PMID 42702597 · PMCID PMC13547291 · OpenAlex W4405185119
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: genetics / omics (modality), other (modality), human (organism), mouse (organism), other condition (population), cellular / molecular (subfield)
Methods: Statistics, Evoked potentials, Connectivity, Smoothing, state filtering, decompositions
Keywords: Metastasis, Cancer microenvironment
MeSH: Brain Neoplasms*, Glioblastoma*, Signal Transduction*, Animals, Cell Line, Tumor, Humans, Mass Spectrometry, Mice, Phosphorylation, Proteome, Proteomics, Receptors, AMPA (* major topic)
Topic: Cell Image Analysis Techniques (Biophysics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: National Cancer Institute (U54 CA283114, P30 CA14051)
Citations: not cited yet (Europe PMC); 133 references in the paper
Research resources: RRID:SCR_017697

Abstract

Dysregulation of intracellular signaling networks underpins cancer. Yet, resolving signaling networks within distinct or rare cell types in cancer in vivo has been unattainable. Here we develop INSIGHT by integrating cell sorting with mass spectrometry to enable quantitative phosphoproteomics and proteomics of discrete cell types from fixed tissues. Using INSIGHT, we map the signaling network within disseminating glioblastoma cells from patient-derived xenografts implanted in mice. Disseminating tumor cells undergo a proteome-wide shift from proliferative to mesenchymal, neural progenitor-like cell states. In parallel, signaling network and global kinase activity are rewired, transitioning from cell cycle-associated circuitries to those governing synaptic function, neuronal migration, and ion channel activity. Changes begin at the tumor margin and persist in distant brain parenchyma. Hornerin and phosphorylation of Ca²⁺-permeable GluA2 at Y876 were identified as mediators of glioblastoma progression. INSIGHT enables systems-level dissection of cell-type-specific signaling circuitries in vivo across wide range of biological systems.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

cycif.org

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State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Cyclic immunofluorescence (CyCIF)”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
At the source: cycif.org

ryuhjinahn

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State: the link answers, verified on 27 September 2026
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Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
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At the source: github.com/ryuhjinahn

hub.docker.com/r/bumproo

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State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
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Code availability

Codes used in this study are available at https://github.com/ryuhjinahn. The R image used for the RNA-seq data analysis is also available (docker URI: bumproo/bulk_r441; link: https://hub.docker.com/r/bumproo/bulk_r441).

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 3 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [1] partner repository with the dataset identifier PXD056965 and https://www.ebi.ac.uk/pride/archive/projects/PXD056965/public. GBM6 (SRR9294059) and GBM12 (SRR9294060) RNAseq raw data can be obtained from https://www.ncbi.nlm.nih.gov/sra/?term=SRR9294059 and https://www.ncbi.nlm.nih.gov/sra/?term=SRR9294060. Source data are provided with this paper.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 26 authors, 2 keywords, 12 MeSH terms, 1 funder, 131 references, 1 RRID.

Cite

This paper

Ahn, R., D’Souza, A. D., Long, L., Cui, Y., Gantchev, J., Baquer, G., Burgenske, D., Bakken, K. K., Ott, L. L., Carlson, B. L., Zhou, G., Kohale, I. N., Whittaker, C. A., Temple, H., Yaron-Barir, T. M., Wyckoff, J., Burns, T. C., Vaubel, R. A., Flower, C. T., . . . White, F. M. (2026). Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT. Nature communications, 17(1), 9536. https://doi.org/10.1038/s41467-026-76587-0

BibTeX

@article{ahn2026uncovering,
author = {Ahn, Ryuhjin and D’Souza, Alicia D. and Long, Lawrence and Cui, Yufei and Gantchev, Jennifer and Baquer, Gerard and Burgenske, Danielle and Bakken, Katrina K. and Ott, Lauren L. and Carlson, Brett L. and Zhou, Grace and Kohale, Ishwar N. and Whittaker, Charles A. and Temple, Heidi and Yaron-Barir, Tomer M. and Wyckoff, Jeffrey and Burns, Terry C. and Vaubel, Rachael A. and Flower, Cameron T. and Huang, Wei and Tuma, Ann and Johnson, Jared L. and Agar, Nathalie Y. R. and Ursini-Siegel, Josie and Jann, Sarkaria and White, Forest M.},
title = {{Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT}},
journal = {Nature communications},
year = {2026},
month = aug,
volume = {17},
number = {1},
pages = {9536},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-76587-0},
url = {https://doi.org/10.1038/s41467-026-76587-0},
pmid = {42702597},
pmcid = {PMC13547291}
}

RIS

TY - JOUR
AU - Ahn, Ryuhjin
AU - D’Souza, Alicia D.
AU - Long, Lawrence
AU - Cui, Yufei
AU - Gantchev, Jennifer
AU - Baquer, Gerard
AU - Burgenske, Danielle
AU - Bakken, Katrina K.
AU - Ott, Lauren L.
AU - Carlson, Brett L.
AU - Zhou, Grace
AU - Kohale, Ishwar N.
AU - Whittaker, Charles A.
AU - Temple, Heidi
AU - Yaron-Barir, Tomer M.
AU - Wyckoff, Jeffrey
AU - Burns, Terry C.
AU - Vaubel, Rachael A.
AU - Flower, Cameron T.
AU - Huang, Wei
AU - Tuma, Ann
AU - Johnson, Jared L.
AU - Agar, Nathalie Y. R.
AU - Ursini-Siegel, Josie
AU - Jann, Sarkaria
AU - White, Forest M.
TI - Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/08/08
VL - 17
IS - 1
SP - 9536
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-76587-0
UR - https://doi.org/10.1038/s41467-026-76587-0
LA - en
ER -

CSL-JSON

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