10.11588/data/VRJUNVRoider, TobiasTobiasRoider0000-0002-6973-3531Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanySeufert, JulianJulianSeufertBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, GermanyUvarovskii, AlexeyAlexeyUvarovskiiCenter for Molecular Biology of the University of Heidelberg, Heidelberg, GermanyFrauhammer, FelixFelixFrauhammerCenter for Molecular Biology of the University of Heidelberg, Heidelberg, GermanyBordas, MarieMarieBordasDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, GermanyAbedpour, NimaNimaAbedpourUniversity of Cologne, Department for Translational Genomics, Cologne, GermanyStolarczyk, MartaMartaStolarczykDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyMallm, Jan-PhilippJan-PhilippMallmDivision of Chromatin Networks, German Cancer Research Center (DKFZ) & Bioquant, Heidelberg, GermanyHerbst, Sophie A.Sophie A.HerbstDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyBruch, Peter-MartinPeter-MartinBruchDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyBalke-Want, HyattHyattBalke-WantUniversity of Cologne, Department for Translational Genomics, Cologne, GermanyHundemer, MichaelMichaelHundemerDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyRippe, KarstenKarstenRippeDivision of Chromatin Networks, German Cancer Research Center (DKFZ) & Bioquant, Heidelberg, GermanyGoeppert, BenjaminBenjaminGoeppertInstitute of Pathology, University of Heidelberg, Heidelberg, GermanySeiffert, MartinaMartinaSeiffertDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, GermanyBrors, BenediktBenediktBrorsDivision of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, GermanyMechtersheimer, GunhildGunhildMechtersheimerInstitute of Pathology, University of Heidelberg, Heidelberg, GermanyZenz, ThorstenThorstenZenzDepartment of Medical Oncology and Hematology, University of Zürich, Zürich, SwitzerlandPeifer, MartinMartinPeiferUniversity of Cologne, Department for Translational Genomics, Cologne, GermanyChapuy, BjörnBjörnChapuyClinic for Hematology and Medical Oncology, University Medicine Göttingen, Göttingen, GermanySchlesner, MatthiasMatthiasSchlesnerBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, GermanyMüller-Tidow, CarstenCarstenMüller-TidowDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyFröhling, StefanStefanFröhlingDepartment of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, GermanyHuber, WolfgangWolfgangHuberEuropean Molecular Biology Laboratory (EMBL), Heidelberg, GermanyAnders, SimonSimonAndersCenter for Molecular Biology of the University of Heidelberg, Heidelberg, GermanySascha DietrichSaschaDietrich0000-0002-0648-1832Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyDissecting intratumor heterogeneity of nodal B cell lymphomas at transcriptional, genetic, and drug response levelsscRNA-seq in nodal B cell lymphomaheiDATA2020Medicine, Health and Life SciencesRoider, TobiasTobiasRoiderDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyDietrich, SaschaSaschaDietrichDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, GermanyAnders, SimonSimonAndersCenter for Molecular Biology of the University of Heidelberg, Heidelberg, Germany2021-01-0710.1038/s41556-020-0532-x9280092460734331260627138473243024221441977714974360202823821235593117705826106869411117095310831199588412050097text/tab-separated-valuestext/tab-separated-valuesapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/ziptext/tab-separated-valuesapplication/zipapplication/zip1.1Tumour heterogeneity encompasses both the malignant cells and their microenvironment. While heterogeneity between individual patients is known to affect the efficacy of cancer therapy, most personalized treatment approaches do not account for intratumor heterogeneity. We addressed this issue by studying the heterogeneity of nodal B cell lymphoma by single cell RNA-sequencing and transcriptome-informed flow cytometry. We identified transcriptionally distinct malignant subpopulations and compared their drug response and genomic profiles. Malignant subpopulations of the same patient responded strikingly different to anti-cancer drugs ex vivo, which recapitulated subpopulation-specific drug sensitivity during in vivo treatment. Infiltrating T cells represented the majority of non-malignant cells, whose gene expression signatures were similar across all donors, whereas the frequencies of T cell subsets varied significantly between the donors. Our data provide insights into the heterogeneity of nodal B cell lymphoma and highlight the relevance of intratumor heterogeneity for personalized cancer therapy.10x data processed by CellRanger: sparse-matrix format with raw UMI counts. For detailed format description, see <a href="https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/output/matrices">https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/output/matrices</a>.