2023 World Conference on Lung Cancer (Posters)-EP02.04. Integrative Single Cell RNA Sequencing Reveals New Insight in Lung Cancer Microenvironment

EP02.04. Integrative Single Cell RNA Sequencing Reveals New Insight in Lung Cancer Microenvironment - PDF(Abstract)

Pdf Summary

This presentation discusses the use of integrative single-cell RNA sequencing to gain new insight into the lung cancer microenvironment. The study analyzes multiple single-cell RNA sequencing datasets obtained from lung tumors and normal lung tissues. The researchers used the Seurat package and CCA method to integrate the datasets and identify changes in cell composition and differentially expressed genes. They also conducted gene set enrichment analysis and pseudotime analysis to understand the population of cell clusters and the trajectory of cell development.<br /><br />The results show differences in the population of immune cells in the lung microenvironment under different conditions, such as immune cell-enriched normal lung, tumor, and live cell-enriched normal lung. Specifically, there were differences in resident lung macrophages and blood-originated myeloid cells. However, T cells and B cells showed similar overall patterns. The researchers also observed significant interactions between immune cells of the tumor and resident lung macrophages, indicating the important role of resident macrophages in the tumor microenvironment.<br /><br />Overall, this study highlights the importance of integrative analysis in understanding the lung cancer microenvironment. It provides new insights into the population composition and interactive relationships between different cell clusters in normal lung and tumor environments. The findings contribute to a better understanding of tumor biology and preclinical biology of lung cancer, particularly in relation to macrophages and single-cell RNA sequencing techniques.

Asset Subtitle

Duk Ki Kim

Meta Tag

Speaker Duk Ki Kim

Topic Tumor Biology: Preclinical Biology - Tumor Immunity

Keywords

integrative single-cell RNA sequencing

lung cancer microenvironment

Seurat package

CCA method

cell composition

differentially expressed genes

immune cells

resident lung macrophages

tumor microenvironment

single-cell RNA sequencing techniques