Genetics and Pathogenesis of Diffuse Large B-Cell Lymphoma

Abstract

TissueResolver is a package for converting bulk RNA-seq datasets into virtual tissues using information from similar single cell datasets by assigning weights to true single cells, maintaining their molecular integrity. Virtual tissues can be analyzed in a similar way as conventional single cell datasets. The algorithm is described in Simeth et al., 2023, Virtual Tissue Expression Analysis. This dataset contains combined RNA expression single cell and bulk data of diffuse large B-cell lymphomas (DLBCL) and derived virtual tissues, along with computed cell-type specific gene expression values. This is in- and output of data used in the documentation of tissueResolver. RNA-seq bulks used for the computation of the virtual tissues: Schmitz et al., 2018 (article). Single cell datasets: Roider et al., 2020 (article) EGA accession number EGAS00001004335 Steen et al., 2021 (article), GEO accession numbers GSE182434 and GSE182436 Data was combined after feature selection and TMM normalization.

Keywords

Affiliated Institutions

• University of Würzburg DE
• Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology DE
• Alliance for Clinical Trials in Oncology US
• Leidos (United States) US
• Frederick National Laboratory for Cancer Research US
• City Of Hope National Medical Center US
• BC Cancer Agency CA
• University Health Network CA
• National Cancer Centre Singapore SG
• Robert Bosch Hospital DE
• Center for Information Technology US
• University of Toronto CA
• Comprehensive Cancer Center Mainfranken DE
• Toronto General Hospital CA
• Cancer Institute (WIA) IN
• Universitat de Barcelona ES
• Cornell University US
• Memorial Sloan Kettering Cancer Center US
• Washington University in St. Louis US
• Mayo Clinic in Arizona US
• Weill Cornell Medicine US
• National Institutes of Health US
• Center for Cancer Research US

Related Publications