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Single-cell CRISPR immune screens reveal immunological roles of tumor intrinsic factors.
Hou, Jiakai; Liang, Shaoheng; Xu, Chunyu; Wei, Yanjun; Wang, Yunfei; Tan, Yukun; Sahni, Nidhi; McGrail, Daniel J; Bernatchez, Chantale; Davies, Michael; Li, Yumei; Chen, Rui; Yi, S Stephen; Chen, Yiwen; Yee, Cassian; Chen, Ken; Peng, Weiyi.
Afiliação
  • Hou J; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Liang S; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Xu C; Department of Computer Science, Rice University, Houston, TX, USA.
  • Wei Y; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Wang Y; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Tan Y; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Sahni N; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • McGrail DJ; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Bernatchez C; Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Davies M; Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.
  • Li Y; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chen R; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Yi SS; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Chen Y; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Yee C; Department of Oncology, Livestrong Cancer Institutes, and Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Chen K; Interdisciplinary Life Sciences Graduate Programs (ILSGP) and Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX, USA.
  • Peng W; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
NAR Cancer ; 4(4): zcac038, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36518525
Genetic screens are widely exploited to develop novel therapeutic approaches for cancer treatment. With recent advances in single-cell technology, single-cell CRISPR screen (scCRISPR) platforms provide opportunities for target validation and mechanistic studies in a high-throughput manner. Here, we aim to establish scCRISPR platforms which are suitable for immune-related screens involving multiple cell types. We integrated two scCRISPR platforms, namely Perturb-seq and CROP-seq, with both in vitro and in vivo immune screens. By leveraging previously generated resources, we optimized experimental conditions and data analysis pipelines to achieve better consistency between results from high-throughput and individual validations. Furthermore, we evaluated the performance of scCRISPR immune screens in determining underlying mechanisms of tumor intrinsic immune regulation. Our results showed that scCRISPR platforms can simultaneously characterize gene expression profiles and perturbation effects present in individual cells in different immune screen conditions. Results from scCRISPR immune screens also predict transcriptional phenotype associated with clinical responses to cancer immunotherapy. More importantly, scCRISPR screen platforms reveal the interactive relationship between targeting tumor intrinsic factors and T cell-mediated antitumor immune response which cannot be easily assessed by bulk RNA-seq. Collectively, scCRISPR immune screens provide scalable and reliable platforms to elucidate molecular determinants of tumor immune resistance.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: NAR Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: NAR Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido