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Updated: May 24, 2025

Extraction of Extracellular Vesicles from Whole Tissue

Extraction of Extracellular Vesicles from Whole Tissue

Published on: February 7, 2019

TcEVdb: a database for T-cell-derived small extracellular vesicles from single-cell transcriptomes.

Tao Luo^1,2, Wen-Kang Shen^2,3, Chu-Yu Zhang^2,3

¹College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.

Database : the Journal of Biological Databases and Curation

|March 4, 2025

Summary

This summary is machine-generated.

T-Cell-derived extracellular vesicles (TcEVs) are crucial for immune responses. The new TcEVdb database reveals TcEV heterogeneity and identifies potential biomarkers for diseases like lymphoma.

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Last Updated: May 24, 2025

Extraction of Extracellular Vesicles from Whole Tissue

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Published on: February 7, 2019

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Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

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An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue

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Published on: February 3, 2023

Area of Science:

Immunology
Molecular Biology
Bioinformatics

Background:

T-cell-derived extracellular vesicles (TcEVs) are vital in immune regulation and tumor microenvironment modulation.
Understanding TcEV heterogeneity is limited by current EV analysis techniques and data scarcity.

Purpose of the Study:

To develop TcEVdb, a comprehensive database for exploring TcEV expression and clustering using T-cell single-cell RNA sequencing data.
To provide tools for analyzing TcEV transcriptomes and their relationship with cellular origins.

Main Methods:

Construction of TcEVdb using the SEVtras method on T-cell single-cell RNA sequencing data.
Integration of 277,265 EV droplets from 51 T-cell types across 221 samples, 9 tissue sources, and 23 disease conditions.
Development of Browse and Search modules for data exploration, visualization, and gene querying.

Main Results:

TcEVdb contains extensive data on TcEVs from diverse T-cell types and conditions.
Analysis revealed increased EV secretion in exhausted CD4+ T cells in diffuse large B-cell lymphoma.
Identified distinct TcEV clusters with genes related to cell motility and mitochondrial function.

Conclusions:

TcEVdb is a valuable resource for investigating TcEV transcriptomes.
The database facilitates advancements in EV-based diagnostics and therapeutics for various diseases.