Single-cell RNA sequencing of 22 Hodgkin lymphoma tumors and 5 reactive lymph nodes
Hodgkin lymphoma (HL) is characterized by an extensively dominant tumor microenvironment (TME) composed of different types of non-cancerous immune cells with rare malignant cells. Characterization of the cellular components and their spatial relationship is crucial to understanding crosstalk and therapeutic targeting in the TME. We performed single-cell RNA sequencing of more than 127,000 cells from 22 HL tissue specimens and 5 reactive lymph nodes, profiling for the first time the phenotype of the HL-specific immune microenvironment at single-cell resolution. Library preparation was performed using the 10x Genomics Chromium system, and Illumina sequencing was used to generate 3' gene expression data for every cell. Downstream analysis was performed in R to identify HL-specific microenvironment patterns and identify novel cell populations.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001005739 | Illumina HiSeq 2500 | 28 | |
EGAD00001006221 | 28 |
Publications | Citations |
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Single-Cell Transcriptome Analysis Reveals Disease-Defining T-cell Subsets in the Tumor Microenvironment of Classic Hodgkin Lymphoma.
Cancer Discov 10: 2020 406-421 |
119 |
The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma.
Cancer Cell 39: 2021 1422-1437.e10 |
92 |
Phased differentiation of γδ T and T CD8 tumor-infiltrating lymphocytes revealed by single-cell transcriptomics of human cancers.
Oncoimmunology 10: 2021 1939518 |
9 |
Single-Cell RNAseq Profiling of Human γδ T Lymphocytes in Virus-Related Cancers and COVID-19 Disease.
Viruses 13: 2021 2212 |
10 |
Single-cell profiling reveals a memory B cell-like subtype of follicular lymphoma with increased transformation risk.
Nat Commun 13: 2022 6772 |
7 |
Advances in single-cell RNA sequencing and its applications in cancer research.
J Hematol Oncol 16: 2023 98 |
21 |