Modeling glioblastoma heterogeneity as a dynamic network of cell states-Reference-Cited by-同舟云学术

Modeling glioblastoma heterogeneity as a dynamic network of cell states

Published:2021-09 Issue:9 Volume:17 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Larsson Ida¹^ORCID,Dalmo Erika¹^ORCID,Elgendy Ramy¹^ORCID,Niklasson Mia¹^ORCID,Doroszko Milena¹^ORCID,Segerman Anna¹²^ORCID,Jörnsten Rebecka³,Westermark Bengt¹^ORCID,Nelander Sven¹^ORCID

Affiliation:

1. Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden

2. Department of Medical Sciences Cancer Pharmacology and Computational Medicine Uppsala University Hospital Uppsala Sweden

3. Mathematical Sciences Chalmers University of Technology Gothenburg Sweden

Funder

Cancerfonden

Barncancerfonden

Vetenskapsrådet

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.202010105

Reference47 articles.

1. A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response

2. Tumour heterogeneity in the clinic

3. The Somatic Genomic Landscape of Glioblastoma

4. Integrating single-cell transcriptomic data across different conditions, technologies, and species

5. A Perivascular Niche for Brain Tumor Stem Cells

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