%0 Journal Article %1 Patel:2014:Science:24925914 %A Patel, A P %A Tirosh, I %A Trombetta, J J %A Shalek, A K %A Gillespie, S M %A Wakimoto, H %A Cahill, D P %A Nahed, B V %A Curry, W T %A Martuza, R L %A Louis, D N %A Rozenblatt-Rosen, O %A Suvà, M L %A Regev, A %A Bernstein, B E %D 2014 %J Science %K cancer-research fulltext rna-seq shouldread single-cell-sequencing %N 6190 %P 1396-1401 %R 10.1126/science.1254257 %T Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma %U https://www.ncbi.nlm.nih.gov/pubmed/24925914 %V 344 %X Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 cells from five primary glioblastomas, which we found to be inherently variable in their expression of diverse transcriptional programs related to oncogenic signaling, proliferation, complement/immune response, and hypoxia. We also observed a continuum of stemness-related expression states that enabled us to identify putative regulators of stemness in vivo. Finally, we show that established glioblastoma subtype classifiers are variably expressed across individual cells within a tumor and demonstrate the potential prognostic implications of such intratumoral heterogeneity. Thus, we reveal previously unappreciated heterogeneity in diverse regulatory programs central to glioblastoma biology, prognosis, and therapy.

@article{Patel:2014:Science:24925914, abstract = {Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 cells from five primary glioblastomas, which we found to be inherently variable in their expression of diverse transcriptional programs related to oncogenic signaling, proliferation, complement/immune response, and hypoxia. We also observed a continuum of stemness-related expression states that enabled us to identify putative regulators of stemness in vivo. Finally, we show that established glioblastoma subtype classifiers are variably expressed across individual cells within a tumor and demonstrate the potential prognostic implications of such intratumoral heterogeneity. Thus, we reveal previously unappreciated heterogeneity in diverse regulatory programs central to glioblastoma biology, prognosis, and therapy. }, added-at = {2018-12-19T13:59:39.000+0100}, author = {Patel, A P and Tirosh, I and Trombetta, J J and Shalek, A K and Gillespie, S M and Wakimoto, H and Cahill, D P and Nahed, B V and Curry, W T and Martuza, R L and Louis, D N and Rozenblatt-Rosen, O and Suv{\`a}, M L and Regev, A and Bernstein, B E}, biburl = {https://www.bibsonomy.org/bibtex/2e976ea5cfb6dc73e7d461ed9962affeb/marcsaric}, description = {Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. - PubMed - NCBI}, doi = {10.1126/science.1254257}, interhash = {84da9ec67f555ed7148e2155dda78b61}, intrahash = {e976ea5cfb6dc73e7d461ed9962affeb}, journal = {Science}, keywords = {cancer-research fulltext rna-seq shouldread single-cell-sequencing}, month = jun, number = 6190, pages = {1396-1401}, pmid = {24925914}, timestamp = {2018-12-19T13:59:39.000+0100}, title = {Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma}, url = {https://www.ncbi.nlm.nih.gov/pubmed/24925914}, volume = 344, year = 2014 }