Your browser doesn't support javascript.
loading
TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response.
Zeng, Zexian; Wong, Cheryl J; Yang, Lin; Ouardaoui, Nofal; Li, Dian; Zhang, Wubing; Gu, Shengqing; Zhang, Yi; Liu, Yang; Wang, Xiaoqing; Fu, Jingxin; Zhou, Liye; Zhang, Boning; Kim, Sarah; Yates, Kathleen B; Brown, Myles; Freeman, Gordon J; Uppaluri, Ravindra; Manguso, Robert; Liu, X Shirley.
Afiliação
  • Zeng Z; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Wong CJ; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
  • Yang L; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Ouardaoui N; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115 USA.
  • Li D; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Zhang W; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Gu S; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Zhang Y; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Liu Y; School of Life Science and Technology, Tongji University, Shanghai, 200060, China.
  • Wang X; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Fu J; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Zhou L; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Zhang B; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
  • Kim S; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Yates KB; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
  • Brown M; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Freeman GJ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Uppaluri R; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Manguso R; Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
  • Liu XS; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Nucleic Acids Res ; 50(D1): D1391-D1397, 2022 01 07.
Article em En | MEDLINE | ID: mdl-34534350
ABSTRACT
Syngeneic mouse models are tumors derived from murine cancer cells engrafted on genetically identical mouse strains. They are widely used tools for studying tumor immunity and immunotherapy response in the context of a fully functional murine immune system. Large volumes of syngeneic mouse tumor expression profiles under different immunotherapy treatments have been generated, although a lack of systematic collection and analysis makes data reuse challenging. We present Tumor Immune Syngeneic MOuse (TISMO), a database with an extensive collection of syngeneic mouse model profiles with interactive visualization features. TISMO contains 605 in vitro RNA-seq samples from 49 syngeneic cancer cell lines across 23 cancer types, of which 195 underwent cytokine treatment. TISMO also includes 1518 in vivo RNA-seq samples from 68 syngeneic mouse tumor models across 19 cancer types, of which 832 were from immune checkpoint blockade (ICB) studies. We manually annotated the sample metadata, such as cell line, mouse strain, transplantation site, treatment, and response status, and uniformly processed and quality-controlled the RNA-seq data. Besides data download, TISMO provides interactive web interfaces to investigate whether specific gene expression, pathway enrichment, or immune infiltration level is associated with differential immunotherapy response. TISMO is available at http//tismo.cistrome.org.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biomarcadores Farmacológicos / Microambiente Tumoral / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biomarcadores Farmacológicos / Microambiente Tumoral / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article