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Dataset Information

Comparison of cell subsets in chronic obstructive pulmonary disease and controls based on single-cell transcriptome sequencing.


ABSTRACT:

Background

Currently, chronic obstructive pulmonary disease (COPD) significantly impacts patients' quality of life and survival as it has a high morbidity and mortality rate. COPD progression is associated with infiltration of adaptive inflammatory immune cells that form lymphatic follicles into the lung.

Objective

The rapid development of single-cell RNA sequencing technology (scRNA-seq) provided us with powerful tools for studying the classification of cell subtypes. Additionally, it is known that COPD is closely related to the abnormal function of long-chain non-coding RNAs (lncRNAs), and scRNA-seq can help to study the expression of lncRNA from a single cell level.

Methods

We reanalyzed the scRNA-seq data of peripheral blood mononuclear cells of COPD patients down

SUBMITTER: An L 

PROVIDER: S-EPMC10200138 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature