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Series GSE193220 Query DataSets for GSE193220
Status Public on Jul 01, 2022
Title Single cell profiling of γδ hepatosplenic T-cell lymphoma unravels tumor cell heterogeneity associated with disease progression
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Other
Summary Hepatosplenic T-cell lymphoma (HSTCL) is a rare but very aggressive lymphoma mostly derived from γδ T cells. The molecular pathogenesis driving HSTCL is largely unknown while only limited treatment options are available with poor outcomes. In this study, we performed paired single cell RNA-seq and T cell receptor (TCR) sequencing on biopsies collected from a HSTCL patient pre- and post- chemotherapy treatments. We characterized unique gene expressing signatures of malignant γδ T cells with a set of marker genes were newly identified in HSTCL (AREG, PLEKHA5, VCAM1 etc.). Although the malignant cells were expanded from a single TCR clonotype according to their TCR sequences, they evolved into two transcriptional distinct tumor subtypes during the disease progression. The Tumor_1 subtype was dominant in pre-treatment samples with highly aggressive phenotypes. The Tumor_2 had relative mild cancer hallmark signatures but expressed genes associated with survival and drug resistance (IL32, TOX2, AIF1, AKAP12 etc.), and finally became the major tumor subtype post-treatment. We further dissected the tumor microenvironment of the HSTCL and found CD8 memory T cells were clonal expanded post-treatment. In addition, we discovered dynamically rewiring cell-cell interaction networks during the treatment. The tumor cells had reduced interactions with the microenvironment post-treatment. Our study reveals heterogenous and dynamic tumor and microenvironment underlying pathogenesis of HSTCL and may contribute to identify novel targets for diagnosis and cure of HSTCL in the future.
 
Overall design Bone marrow and PBMC biopsies were collected from a HSTCL patient pre- and post- chemotherapies. Samples were proceed for single cell RNA-seq and T cell receptor sequencing
 
Contributor(s) Zhang R, Song W, Shi K, Zhang H
Citation(s) 36417130
Submission date Jan 07, 2022
Last update date Jan 03, 2023
Contact name Ruoyu Zhang
E-mail(s) [email protected]
Organization name Innovec Biotherapeutics
Street address Life Science Park building 1 B220
City Beijing
ZIP/Postal code 102206
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (12)
GSM5776879 pre-treatment bone marrow sample RNA-seq
GSM5776880 post-treatment bone marrow sample RNA-seq
GSM5776881 pre-treatment PBMC sample RNA-seq
Relations
BioProject PRJNA795454

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Supplementary file Size Download File type/resource
GSE193220_RAW.tar 221.7 Mb (http)(custom) TAR (of CSV, MTX, TSV)
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Raw data are available in SRA
Processed data provided as supplementary file

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