An insight into the development of triple-negative breast cancer at transcriptome level based on single-cell sequencing technology

Author:

Jin Boxiang1,Zhu Zhe2,Ma Junfeng1

Affiliation:

1. School of Life Sciences, Jilin University

2. Second Affiliated Hospital of Jilin University

Abstract

Abstract Poor prognosis and low survival rate always hinder the research on the mechanism and pathology of triple-negative breast cancer (TNBC). With the rapid development of sequencing technology, the sequencing data of TNBC are becoming more widely available. This study attempted to reveal the potential biology of TNBC at both transcriptome and single-cell sequencing levels. Alteration in the differentially expression genes of TNBC was uncovered at the transcriptome level through the dataset GSE62931 and the cell ratio changes were displayed at the single-cell level through six samples from the dataset GSE161529. TNBC was identified at both transcriptome and single-cell levels. Compared with the non-TNBC group, 475 differentially expressed genes were obtained at the transcriptome level in the TNBC group. The differentially expressed genes were mainly enriched in microtubule binding, chromosome segregation, and response to xenobiotic stimulus, as well as pathways in cancer, Tyrosine metabolism, and Mucin type O-glycan biosynthesis. A sub-module with high correlation was further identified after screening of TNBC-related DEG. Compared with the non-TNBC group, the proportions of natural killer T cells, luminal epithelial cells, B cells, and basal cells in the TNBC group were significantly decreased at the single-cell level, but the proportions of T cells, monocytes, and neural progenitor cells significantly increased. The transcriptome results could be combined with the single-cell sequencing results through the submodule, based on which we studied the key genes related to the prognosis of TNBC patients, including RRM2, TPX2, CENPF and TOP2A. We found that the expression of these key genes at the single-cell level was heterogeneous with that at the overall cellular level. To conclude, the expression of RRM2, TPX2, CENPF, and TOP2A is heterogeneous at the cellular level, inconsistent with the expression of TNBC at the overall cellular level. Therefore, it is necessary to combine the changes at the gene level and the cellular level for research.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3