RNA-seq of Glioblastoma stem cells

Chromatin accessibility discriminates stem from mature cell populations, enabling the identification of primitive stem-like cells in primary tumors, such as Glioblastoma (GBM) where self-renewing cells driving cancer progression and recurrence are prime targets for therapeutic intervention. We show, using single-cell chromatin accessibility, that primary GBMs harbor a heterogeneous self-renewing population whose diversity is captured in patient-derived glioblastoma stem cells (GSCs). In depth characterization of chromatin accessibility in GSCs identifies three GSC states: Reactive, Constructive, and Invasive, each governed by uniquely essential transcription factors and present within GBMs in varying proportions. Orthotopic xenografts reveal that GSC states associate with survival, and identify an invasive GSC signature predictive of low patient survival. Our chromatin-driven characterization of GSC states improves prognostic precision and identifies dependencies to guide combination therapies.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001006813	RNA was extracted from GSCs using the Qiagen RNeasy Plus kit. RNA sample quality was measured by Qubit (Life Technologies) for concentration and by Agilent Bioanalyzer for RNA integrity. All samples had RIN above 9. Libraries were prepared using the TruSeq Stranded mRNA kit (Illumina). Two hundred nanograms from each sample were purified for polyA tail containing mRNA molecules using poly-T oligo attached magnetic beads, then fragmented post-purification. The cleaved RNA fragments were copied into first strand cDNA using reverse transcriptase and random primers. This is followed by second strand cDNA synthesis using RNase H and DNA Polymerase I. A single “A” base was added and adapter ligated followed by purification and enrichment with PCR to create cDNA libraries. Final cDNA libraries were verified by the Agilent Bioanalyzer for size and concentration quantified by qPCR. All libraries were pooled to a final concentration of 1.8nM, clustered and sequenced on the Illumina NextSeq500 as a pair-end 75 cycle sequencing run using v2 reagents to achieve a minimum of ~40 million reads per sample.	NextSeq 500	87

Publications	Citations
Intratumoral Genetic and Functional Heterogeneity in Pediatric Glioblastoma. Hoffman M, Gillmor AH, Kunz DJ, Johnston MJ, Nikolic A, Narta K, Zarrei M, King J, Ellestad K, Dang NH, Cavalli FMG, Kushida MM, Coutinho FJ, Zhu Y, Luu B, Ma Y, Mungall AJ, Moore R, Marra MA, Taylor MD, Pugh TJ, Dirks PB, Strother D, Lafay-Cousin L, Resnick AC, Scherer S, Senger DL, Simons BD, Chan JA, Morrissy AS, Gallo M. Cancer Res 79: 2019 2111-2123	21
Single-cell chromatin accessibility profiling of glioblastoma identifies an invasive cancer stem cell population associated with lower survival. Guilhamon P, Chesnelong C, Kushida MM, Nikolic A, Singhal D, MacLeod G, Madani Tonekaboni SA, Cavalli FM, Arlidge C, Rajakulendran N, Rastegar N, Hao X, Hassam R, Smith LJ, Whetstone H, Coutinho FJ, Nadorp B, Ellestad KI, Luchman HA, Chan JA, Shoichet MS, Taylor MD, Haibe-Kains B, Weiss S, Angers S, Gallo M, Dirks PB, Lupien M. Elife 10: 2021 e64090	29

Publications

Citations

Intratumoral Genetic and Functional Heterogeneity in Pediatric Glioblastoma.
Hoffman M, Gillmor AH, Kunz DJ, Johnston MJ, Nikolic A, Narta K, Zarrei M, King J, Ellestad K, Dang NH, Cavalli FMG, Kushida MM, Coutinho FJ, Zhu Y, Luu B, Ma Y, Mungall AJ, Moore R, Marra MA, Taylor MD, Pugh TJ, Dirks PB, Strother D, Lafay-Cousin L, Resnick AC, Scherer S, Senger DL, Simons BD, Chan JA, Morrissy AS, Gallo M. Cancer Res 79: 2019 2111-2123

Single-cell chromatin accessibility profiling of glioblastoma identifies an invasive cancer stem cell population associated with lower survival.
Guilhamon P, Chesnelong C, Kushida MM, Nikolic A, Singhal D, MacLeod G, Madani Tonekaboni SA, Cavalli FM, Arlidge C, Rajakulendran N, Rastegar N, Hao X, Hassam R, Smith LJ, Whetstone H, Coutinho FJ, Nadorp B, Ellestad KI, Luchman HA, Chan JA, Shoichet MS, Taylor MD, Haibe-Kains B, Weiss S, Angers S, Gallo M, Dirks PB, Lupien M. Elife 10: 2021 e64090