Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-Omic investigation of the Skin Microbiome of Cutaneous T Cell Lymphoma

ABSTRACT: Multi-Omic investigation of the Skin Microbiome of Cutaneous T Cell Lymphoma

PROVIDER: PRJNA913111 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Multi-Omic investigation of the Skin Microbiome of Cutaneous T Cell Lymphoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-12-01 | GSE221150 | GEO

Multi-omic Investigation of Beckwith-Wiedemann Syndrome Hepatoblasto

Project description:Multi-omic Investigation of Beckwith-Wiedemann Syndrome Hepatoblasto

| PRJNA764785 | ENA

Multi-omic Investigation of Beckwith-Wiedemann Syndrome Hepatoblasto

Project description:Multi-omic Investigation of Beckwith-Wiedemann Syndrome Hepatoblasto

| PRJNA764786 | ENA

Diabetes Multi-omic Investigation of Drug Response (DIAMOND)

Project description:Diabetes Multi-omic Investigation of Drug Response (DIAMOND)

| PRJNA996301 | ENA

Diabetes Multi-omic Investigation of Drug Response (DIAMOND)

Project description:Diabetes Multi-omic Investigation of Drug Response (DIAMOND)

| PRJNA996302 | ENA

Multi-omic Investigation of Beckwith-Wiedemann Syndrome Wilms Tumor

Project description:Multi-omic Investigation of Beckwith-Wiedemann Syndrome Wilms Tumor

| PRJNA798492 | ENA

Multi-omic Investigation of Beckwith-Wiedemann Syndrome Wilms Tumor

Project description:Multi-omic Investigation of Beckwith-Wiedemann Syndrome Wilms Tumor

| PRJNA798493 | ENA

Transcription profiling of human cutaneous B-cell lymphoma skin punch biopsies, mycosis fungoides (MF) and 3 normal skin biopsies

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.

2005-10-07 | E-SMDB-1798 | biostudies-arrayexpress

Study of cutaneous biology of cutaneous T cell lymphoma

Project description:Study of cutaneous biology of cutaneous T cell lymphoma

| PRJNA785680 | ENA

Study of cutaneous biology of cutaneous T cell lymphoma

Project description:Study of cutaneous biology of cutaneous T cell lymphoma

| PRJNA785707 | ENA