Literature DB >> 31554641

The Phenotypes of Proliferating Glioblastoma Cells Reside on a Single Axis of Variation.

Lin Wang1, Husam Babikir1, Sören Müller1, Garima Yagnik1, Karin Shamardani1, Francisca Catalan1, Gary Kohanbash2, Beatriz Alvarado1,3, Elizabeth Di Lullo3, Arnold Kriegstein3, Sumedh Shah1, Harsh Wadhwa1, Susan M Chang1, Joanna J Phillips1, Manish K Aghi1, Aaron A Diaz4.   

Abstract

Although tumor-propagating cells can be derived from glioblastomas (GBM) of the proneural and mesenchymal subtypes, a glioma stem-like cell (GSC) of the classic subtype has not been identified. It is unclear whether mesenchymal GSCs (mGSC) and/or proneural GSCs (pGSC) alone are sufficient to generate the heterogeneity observed in GBM. We performed single-cell/single-nucleus RNA sequencing of 28 gliomas, and single-cell ATAC sequencing for 8 cases. We found that GBM GSCs reside on a single axis of variation, ranging from proneural to mesenchymal. In silico lineage tracing using both transcriptomics and genetics supports mGSCs as the progenitors of pGSCs. Dual inhibition of pGSC-enriched and mGSC-enriched growth and survival pathways provides a more complete treatment than combinations targeting one GSC phenotype alone. This study sheds light on a long-standing debate regarding lineage relationships among GSCs and presents a paradigm by which personalized combination therapies can be derived from single-cell RNA signatures, to overcome intratumor heterogeneity. SIGNIFICANCE: Tumor-propagating cells can be derived from mesenchymal and proneural glioblastomas. However, a stem cell of the classic subtype has yet to be demonstrated. We show that classic-subtype gliomas are comprised of proneural and mesenchymal cells. This study sheds light on a long-standing debate regarding lineage relationships between glioma cell types.See related commentary by Fine, p. 1650.This article is highlighted in the In This Issue feature, p. 1631. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31554641      PMCID: PMC7161589          DOI: 10.1158/2159-8290.CD-19-0329

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   38.272


  28 in total

1.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

2.  Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq.

Authors:  Andrew S Venteicher; Itay Tirosh; Christine Hebert; Keren Yizhak; Cyril Neftel; Mariella G Filbin; Volker Hovestadt; Leah E Escalante; McKenzie L Shaw; Christopher Rodman; Shawn M Gillespie; Danielle Dionne; Christina C Luo; Hiranmayi Ravichandran; Ravindra Mylvaganam; Christopher Mount; Maristela L Onozato; Brian V Nahed; Hiroaki Wakimoto; William T Curry; A John Iafrate; Miguel N Rivera; Matthew P Frosch; Todd R Golub; Priscilla K Brastianos; Gad Getz; Anoop P Patel; Michelle Monje; Daniel P Cahill; Orit Rozenblatt-Rosen; David N Louis; Bradley E Bernstein; Aviv Regev; Mario L Suvà
Journal:  Science       Date:  2017-03-31       Impact factor: 47.728

3.  GlioVis data portal for visualization and analysis of brain tumor expression datasets.

Authors:  Robert L Bowman; Qianghu Wang; Angel Carro; Roel G W Verhaak; Massimo Squatrito
Journal:  Neuro Oncol       Date:  2016-11-09       Impact factor: 12.300

4.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

5.  Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown.

Authors:  Mihaela Pertea; Daehwan Kim; Geo M Pertea; Jeffrey T Leek; Steven L Salzberg
Journal:  Nat Protoc       Date:  2016-08-11       Impact factor: 13.491

6.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

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

Authors:  Andrew Butler; Paul Hoffman; Peter Smibert; Efthymia Papalexi; Rahul Satija
Journal:  Nat Biotechnol       Date:  2018-04-02       Impact factor: 54.908

8.  Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics.

Authors:  Leif S Ludwig; Caleb A Lareau; Jacob C Ulirsch; Elena Christian; Christoph Muus; Lauren H Li; Karin Pelka; Will Ge; Yaara Oren; Alison Brack; Travis Law; Christopher Rodman; Jonathan H Chen; Genevieve M Boland; Nir Hacohen; Orit Rozenblatt-Rosen; Martin J Aryee; Jason D Buenrostro; Aviv Regev; Vijay G Sankaran
Journal:  Cell       Date:  2019-02-28       Impact factor: 41.582

9.  An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma.

Authors:  Cyril Neftel; Julie Laffy; Mariella G Filbin; Toshiro Hara; Marni E Shore; Gilbert J Rahme; Alyssa R Richman; Dana Silverbush; McKenzie L Shaw; Christine M Hebert; John Dewitt; Simon Gritsch; Elizabeth M Perez; L Nicolas Gonzalez Castro; Xiaoyang Lan; Nicholas Druck; Christopher Rodman; Danielle Dionne; Alexander Kaplan; Mia S Bertalan; Julia Small; Kristine Pelton; Sarah Becker; Dennis Bonal; Quang-De Nguyen; Rachel L Servis; Jeremy M Fung; Ravindra Mylvaganam; Lisa Mayr; Johannes Gojo; Christine Haberler; Rene Geyeregger; Thomas Czech; Irene Slavc; Brian V Nahed; William T Curry; Bob S Carter; Hiroaki Wakimoto; Priscilla K Brastianos; Tracy T Batchelor; Anat Stemmer-Rachamimov; Maria Martinez-Lage; Matthew P Frosch; Ivan Stamenkovic; Nicolo Riggi; Esther Rheinbay; Michelle Monje; Orit Rozenblatt-Rosen; Daniel P Cahill; Anoop P Patel; Tony Hunter; Inder M Verma; Keith L Ligon; David N Louis; Aviv Regev; Bradley E Bernstein; Itay Tirosh; Mario L Suvà
Journal:  Cell       Date:  2019-07-18       Impact factor: 41.582

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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  71 in total

Review 1.  Statistical mechanics meets single-cell biology.

Authors:  Andrew E Teschendorff; Andrew P Feinberg
Journal:  Nat Rev Genet       Date:  2021-04-19       Impact factor: 53.242

2.  Driving mesenchymal transition in glioblastoma.

Authors:  Michael Platten
Journal:  Neuro Oncol       Date:  2020-01-11       Impact factor: 12.300

3.  Ensemble learning for classifying single-cell data and projection across reference atlases.

Authors:  Lin Wang; Francisca Catalan; Karin Shamardani; Husam Babikir; Aaron Diaz
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

4.  Epigenetic encoding, heritability and plasticity of glioma transcriptional cell states.

Authors:  Ronan Chaligne; Federico Gaiti; Dana Silverbush; Joshua S Schiffman; Hannah R Weisman; Lloyd Kluegel; Simon Gritsch; Sunil D Deochand; L Nicolas Gonzalez Castro; Alyssa R Richman; Johanna Klughammer; Tommaso Biancalani; Christoph Muus; Caroline Sheridan; Alicia Alonso; Franco Izzo; Jane Park; Orit Rozenblatt-Rosen; Aviv Regev; Mario L Suvà; Dan A Landau
Journal:  Nat Genet       Date:  2021-09-30       Impact factor: 38.330

5.  CD93 is Associated with Glioma-related Malignant Processes and Immunosuppressive Cell Infiltration as an Inspiring Biomarker of Survivance.

Authors:  Kaiming Ma; Suhua Chen; Xin Chen; Xiaofang Zhao; Jun Yang
Journal:  J Mol Neurosci       Date:  2022-08-25       Impact factor: 2.866

Review 6.  Nutrient metabolism and cancer in the in vivo context: a metabolic game of give and take.

Authors:  Patricia Altea-Manzano; Alejandro M Cuadros; Lindsay A Broadfield; Sarah-Maria Fendt
Journal:  EMBO Rep       Date:  2020-09-23       Impact factor: 8.807

7.  CD109-GP130 interaction drives glioblastoma stem cell plasticity and chemoresistance through STAT3 activity.

Authors:  Pauliina Filppu; Jayendrakishore Tanjore Ramanathan; Kirsi J Granberg; Erika Gucciardo; Hannu Haapasalo; Kaisa Lehti; Matti Nykter; Vadim Le Joncour; Pirjo Laakkonen
Journal:  JCI Insight       Date:  2021-05-10

8.  Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq.

Authors:  Wenting Zhao; Athanassios Dovas; Eleonora Francesca Spinazzi; Hanna Mendes Levitin; Matei Alexandru Banu; Pavan Upadhyayula; Tejaswi Sudhakar; Tamara Marie; Marc L Otten; Michael B Sisti; Jeffrey N Bruce; Peter Canoll; Peter A Sims
Journal:  Genome Med       Date:  2021-05-11       Impact factor: 11.117

9.  Phenotypic Mapping of Pathologic Cross-Talk between Glioblastoma and Innate Immune Cells by Synthetic Genetic Tracing.

Authors:  Matthias Jürgen Schmitt; Carlos Company; Yuliia Dramaretska; Iros Barozzi; Andreas Göhrig; Sonia Kertalli; Melanie Großmann; Heike Naumann; Maria Pilar Sanchez-Bailon; Danielle Hulsman; Rainer Glass; Massimo Squatrito; Michela Serresi; Gaetano Gargiulo
Journal:  Cancer Discov       Date:  2020-12-23       Impact factor: 39.397

10.  Sequential fate-switches in stem-like cells drive the tumorigenic trajectory from human neural stem cells to malignant glioma.

Authors:  Xiaofei Wang; Ran Zhou; Yanzhen Xiong; Lingling Zhou; Xiang Yan; Manli Wang; Fan Li; Chuanxing Xie; Yiming Zhang; Zongyao Huang; Chaoqiong Ding; Kaidou Shi; Weida Li; Yu Liu; Zhongwei Cao; Zhen-Ning Zhang; Shengtao Zhou; Chong Chen; Yan Zhang; Lu Chen; Yuan Wang
Journal:  Cell Res       Date:  2021-01-04       Impact factor: 25.617

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