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Pine AR, Cirigliano SM, Singhania R, Nicholson J, da Silva B, Leslie CS, Fine HA. Microenvironment-Driven Dynamic Chromatin Changes in Glioblastoma Recapitulate Early Neural Development at Single-Cell Resolution. Cancer Res 2023; 83:1581-1595. [PMID: 36877162 PMCID: PMC11022245 DOI: 10.1158/0008-5472.can-22-2872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/11/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
The tumor microenvironment is necessary for recapitulating the intratumoral heterogeneity and cell state plasticity found in human primary glioblastoma (GBM). Conventional models do not accurately recapitulate the spectrum of GBM cellular states, hindering elucidation of the underlying transcriptional regulation of these states. Using our glioblastoma cerebral organoid model, we profiled the chromatin accessibility of 28,040 single cells in five patient-derived glioma stem cell lines. Integration of paired epigenomes and transcriptomes within the context of tumor-normal host cell interactions was used to probe the gene-regulatory networks underlying individual GBM cellular states in a way not readily possible in other in vitro models. These analyses identified the epigenetic underpinnings of GBM cellular states and characterized dynamic chromatin changes reminiscent of early neural development that underlie GBM cell state transitions. Despite large differences between tumors, a shared cellular compartment made up of neural progenitor-like cells and outer radial glia-like cells was observed. Together, these results shed light on the transcriptional regulation program in GBM and offer novel therapeutic targets across a broad range of genetically heterogenous GBMs. SIGNIFICANCE Single-cell analyses elucidate the chromatin landscape and transcriptional regulation of glioblastoma cellular states and identify a radial glia-like population, providing potential targets to disrupt cell states and improve therapeutic efficacy.
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Affiliation(s)
- Allison R. Pine
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Tri-Institutional Program in Computational Biology and Medicine, New York, NY 10021, USA
| | | | - Richa Singhania
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - James Nicholson
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - Bárbara da Silva
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - Christina S. Leslie
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Howard A. Fine
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
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Pritykin Y, van der Veeken J, Pine AR, Zhong Y, Sahin M, Mazutis L, Pe'er D, Rudensky AY, Leslie CS. A unified atlas of CD8 T cell dysfunctional states in cancer and infection. Mol Cell 2021; 81:2477-2493.e10. [PMID: 33891860 PMCID: PMC8454502 DOI: 10.1016/j.molcel.2021.03.045] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/02/2021] [Accepted: 03/29/2021] [Indexed: 12/16/2022]
Abstract
CD8 T cells play an essential role in defense against viral and bacterial infections and in tumor immunity. Deciphering T cell loss of functionality is complicated by the conspicuous heterogeneity of CD8 T cell states described across experimental and clinical settings. By carrying out a unified analysis of over 300 assay for transposase-accessible chromatin sequencing (ATAC-seq) and RNA sequencing (RNA-seq) experiments from 12 studies of CD8 T cells in cancer and infection, we defined a shared differentiation trajectory toward dysfunction and its underlying transcriptional drivers and revealed a universal early bifurcation of functional and dysfunctional T cell states across models. Experimental dissection of acute and chronic viral infection using single-cell ATAC (scATAC)-seq and allele-specific single-cell RNA (scRNA)-seq identified state-specific drivers and captured the emergence of similar TCF1+ progenitor-like populations at an early branch point, at which functional and dysfunctional T cells diverge. Our atlas of CD8 T cell states will facilitate mechanistic studies of T cell immunity and translational efforts.
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Affiliation(s)
- Yuri Pritykin
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
| | - Joris van der Veeken
- Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Allison R Pine
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA
| | - Yi Zhong
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Merve Sahin
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA
| | - Linas Mazutis
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alexander Y Rudensky
- Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Christina S Leslie
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
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Wang T, Pine AR, Kotini AG, Yuan H, Zamparo L, Starczynowski DT, Leslie C, Papapetrou EP. Sequential CRISPR gene editing in human iPSCs charts the clonal evolution of myeloid leukemia and identifies early disease targets. Cell Stem Cell 2021; 28:1074-1089.e7. [PMID: 33571445 DOI: 10.1016/j.stem.2021.01.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 09/20/2020] [Accepted: 01/14/2021] [Indexed: 12/20/2022]
Abstract
Human cancers arise through the sequential acquisition of somatic mutations that create successive clonal populations. Human cancer evolution models could help illuminate this process and inform therapeutic intervention at an early disease stage, but their creation has faced significant challenges. Here, we combined induced pluripotent stem cell (iPSC) and CRISPR-Cas9 technologies to develop a model of the clonal evolution of acute myeloid leukemia (AML). Through the stepwise introduction of three driver mutations, we generated iPSC lines that, upon hematopoietic differentiation, capture distinct premalignant stages, including clonal hematopoiesis (CH) and myelodysplastic syndrome (MDS), culminating in a transplantable leukemia, and recapitulate transcriptional and chromatin accessibility signatures of primary human MDS and AML. By mapping dynamic changes in transcriptomes and chromatin landscapes, we characterize transcriptional programs driving specific transitions between disease stages. We identify cell-autonomous dysregulation of inflammatory signaling as an early and persistent event in leukemogenesis and a promising early therapeutic target.
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Affiliation(s)
- Tiansu Wang
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allison R Pine
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andriana G Kotini
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Han Yuan
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lee Zamparo
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel T Starczynowski
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, USA; Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Christina Leslie
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Eirini P Papapetrou
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Pine AR, Cirigliano SM, Nicholson JG, Hu Y, Linkous A, Miyaguchi K, Edwards L, Singhania R, Schwartz TH, Ramakrishna R, Pisapia DJ, Snuderl M, Elemento O, Fine HA. Tumor Microenvironment Is Critical for the Maintenance of Cellular States Found in Primary Glioblastomas. Cancer Discov 2020; 10:964-979. [PMID: 32253265 DOI: 10.1158/2159-8290.cd-20-0057] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/14/2020] [Accepted: 03/31/2020] [Indexed: 01/11/2023]
Abstract
Glioblastoma (GBM), an incurable tumor, remains difficult to model and more importantly to treat due to its genetic/epigenetic heterogeneity and plasticity across cellular states. The ability of current tumor models to recapitulate the cellular states found in primary tumors remains unexplored. To address this issue, we compared single-cell RNA sequencing of tumor cells from 5 patients across four patient-specific glioblastoma stem cell (GSC)-derived model types, including glioma spheres, tumor organoids, glioblastoma cerebral organoids (GLICO), and patient-derived xenografts. We find that GSCs within the GLICO model are enriched for a neural progenitor-like cell subpopulation and recapitulate the cellular states and their plasticity found in the corresponding primary parental tumors. These data demonstrate how the contribution of a neuroanatomically accurate human microenvironment is critical and sufficient for recapitulating the cellular states found in human primary GBMs, a principle that may likely apply to other tumor models. SIGNIFICANCE: It has been unclear how well different patient-derived GBM models are able to recreate the full heterogeneity of primary tumors. Here, we provide a complete transcriptomic characterization of the major model types. We show that the microenvironment is crucial for recapitulating GSC cellular states, highlighting the importance of tumor-host cell interactions.See related commentary by Luo and Weiss, p. 907.This article is highlighted in the In This Issue feature, p. 890.
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Affiliation(s)
- Allison R Pine
- Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
- Tri-Institutional Program in Computational Biology and Medicine, New York, New York
| | | | | | - Yang Hu
- Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Amanda Linkous
- Department of Neurology, Weill Cornell Medicine, New York, New York
| | - Ken Miyaguchi
- Department of Neurology, Weill Cornell Medicine, New York, New York
| | - Lincoln Edwards
- Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York
| | - Richa Singhania
- Department of Neurology, Weill Cornell Medicine, New York, New York
| | - Theodore H Schwartz
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York
| | - Rohan Ramakrishna
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York
| | - David J Pisapia
- Department of Pathology, Weill Cornell Medicine, New York, New York
| | - Matija Snuderl
- Department of Pathology, NYU Langone Medical Center, New York, New York
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York.
| | - Howard A Fine
- Department of Neurology, Weill Cornell Medicine, New York, New York.
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