Multimodal single cell analysis of molecular profiles of paired tissues of cutaneous T cell lymphoma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA720948 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Multimodal single cell analysis of molecular profiles of paired tissues of cutaneous T cell lymphoma
| PRJNA720948 | ENA
Project description:Study of cutaneous biology of cutaneous T cell lymphoma
| PRJNA785707 | ENA
Project description:Study of cutaneous biology of cutaneous T cell lymphoma
| PRJNA785680 | ENA
Project description:Single-cell profiling of cutaneous T-cell lymphoma
| PRJNA514234 | ENA
Project description:Cutaneous T cell lymphoma (CTCL) is a heterogeneous group of mature T cell neoplasms characterized by the accumulation of clonal malignant CD4+ T cells in the skin. The most common variant of CTCL, Mycosis Fungoides, is confined to the skin in early stages but can be accompanied by extracutaneous dissemination of malignant T cells to the blood and lymph nodes in advanced stages of disease. Sézary Syndrome, a leukemic form of disease is characterized by significant blood involvement. Little is known about the transcriptional and genomic relationship between skin and blood residing malignant T cells in CTCL. In the present study we interrogate multiple modalities of information in single cells from matched skin and blood samples of patients with leukemic disease and healthy controls within a single workflow. By employing expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), we sought to compare the molecular profile of malignant clones residing in the skin and circulation of these patients across gene and protein expression modalities. We apply inferred CNV and phylogenetic analysis to examine sub-clonal heterogeneity to gain insights into the evolution and the relationship of malignant clones across tissues. Our data reveals clonal evolution at a transcriptional and genetic level within the malignant populations of individual patients. We highlight highly consistent transcriptional signatures delineating skin-derived and blood-derived malignant T cells. Analysis of these two populations suggests that environmental cues, along with genetic aberrations, contribute to transcriptional profiles of malignant T cells.
2021-07-30 | GSE171811 | GEO
Project description:We studied gene expression profiles of 17 cutaneous B-cell lymphomas that were collected with 4-6 millimeter skin punch biopsies. We also included tissue from 2 cases of mycosis fungoides (MF), 3 normal skin biopsies and 3 tonsils to create a framework for further interpretation. A hierarchical cluster algorithm was applied for data analysis. Our results indicate that small amounts of skin tissue can be used successfully to perform microarray analysis and result in distinct gene expression patterns. Duplicate specimens clustered together demonstrating a reproducible technique. Within the cutaneous B-cell lymphoma specimens two specific B-cell differentiation stage signatures of germinal center B-cells and plasma cells could be identified. Primary cutaneous follicular and primary cutaneous diffuse large B-cell lymphomas had a germinal center B-cell signature while a subset of marginal zone lymphomas demonstrated a plasma cell signature. Primary and secondary follicular B-cell lymphoma of the skin were closely related, despite previously reported genetic and phenotypic differences. In contrast primary and secondary cutaneous diffuse large B-cell lymphoma were less related to each other. This pilot study allows a first glance into the complex and unique microenvironment of B-cell lymphomas of the skin and provides a basis for future studies, that may lead to the identification of potential histologic and prognostic markers as well as therapeutic targets. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
2005-12-16 | E-GEOD-3827 | biostudies-arrayexpress
Project description:We studied gene expression profiles of 17 cutaneous B-cell lymphomas that were collected with 4-6 millimeter skin punch biopsies. We also included tissue from 2 cases of mycosis fungoides (MF), 3 normal skin biopsies and 3 tonsils to create a framework for further interpretation. A hierarchical cluster algorithm was applied for data analysis. Our results indicate that small amounts of skin tissue can be used successfully to perform microarray analysis and result in distinct gene expression patterns. Duplicate specimens clustered together demonstrating a reproducible technique. Within the cutaneous B-cell lymphoma specimens two specific B-cell differentiation stage signatures of germinal center B-cells and plasma cells could be identified. Primary cutaneous follicular and primary cutaneous diffuse large B-cell lymphomas had a germinal center B-cell signature while a subset of marginal zone lymphomas demonstrated a plasma cell signature. Primary and secondary follicular B-cell lymphoma of the skin were closely related, despite previously reported genetic and phenotypic differences. In contrast primary and secondary cutaneous diffuse large B-cell lymphoma were less related to each other. This pilot study allows a first glance into the complex and unique microenvironment of B-cell lymphomas of the skin and provides a basis for future studies, that may lead to the identification of potential histologic and prognostic markers as well as therapeutic targets. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
2005-12-17 | GSE3827 | GEO
Project description:Cutaneous T-cell lymphoma (CTCL) is a malignancy of skin-homing T cells. A subgroup of patients develops large cell transformation with progression to an aggressive lymphoma and with poor survival. We aimed to study the transformed CTCL (tCTCL) ecosystem using integrative approaches spanning whole-exome sequencing (WES), single-cell RNAseq, and immune profiling in a unique cohort of 56 patients with tCTCL
2024-07-12 | GSE272005 | GEO
Project description:Genomic Landscape of Cutaneous Diffuse Large B Cell Lymphoma
| PRJNA478279 | ENA
Project description:Genomic Landscape of Cutaneous Diffuse Large B Cell Lymphoma
| PRJNA478280 | ENA