In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma

In sum, we demonstrate the utility of multiplexed perturb-seq for in vivo single-cell dissection of adult cancer and normal tissue biology across multiple cell types in the context of therapeutic intervention, a platform with potential for broad application.

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Publication Details

Journal
Genome biology
Published
2024-10-07
DOI
https://doi.org/10.1186/s13059-024-03404-6
Citations
14
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
3.27
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article

In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma

Mitchel Stuart Berger, Christopher Zou, David Ronan Raleigh, Thomas O’Loughlin et al.
14 citations
Genome biology
Single-cell and spatial transcriptomics
3.27
article

In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma

Mitchel Stuart Berger, Christopher Zou, David Ronan Raleigh, Thomas O’Loughlin, David Wu, Luke A. Gilbert, Tomoko Ozawa, Timothy Casey-Clyde, Daniel A. Lim, Ashir A. Borah, William A. Weiss, Roarke A. Kamber, Joanna Pak, Siyuan Liu, A. P. Morse, Dillon Pang, Kyounghee Seo
article en
14 citations

Abstract

In sum, we demonstrate the utility of multiplexed perturb-seq for in vivo single-cell dissection of adult cancer and normal tissue biology across multiple cell types in the context of therapeutic intervention, a platform with potential for broad application.

Genome biologyVol. 25(1)
University of California, San Francisco (US), American Research Center in Egypt (US), University of California San Francisco Medical Center (US), Palo Alto Institute (US), Neurological Surgery (US), UCSF Helen Diller Family Comprehensive Cancer Center (US), Arc Research Institute, University of San Francisco (US), Icahn School of Medicine at Mount Sinai (US)
Zero hunger
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
3.27
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