Single-Cell Proteomic and Transcriptomic Characterization of Drug-Resistant Prostate Cancer Cells Reveals Molecular Signatures Associated with Morphological Changes

转录组 前列腺癌 计算生物学 药品 生物 细胞 癌症研究 癌症 表征(材料科学) 基因 遗传学 药理学 纳米技术 基因表达 材料科学
作者
Jongmin Jacob Woo,Michael Loycano,Md Amanullah,Qian Jiang,Sarah R. Amend,Kenneth J. Pienta,Hui Zhang
出处
期刊: [Cold Spring Harbor Laboratory]
标识
DOI:10.1101/2024.10.23.619905
摘要

Abstract This study delves into the proteomic intricacies of drug-resistant cells (DRCs) within prostate cancer, which are known for their pivotal roles in therapeutic resistance, relapse, and metastasis. Utilizing single-cell proteomics (SCP) with an optimized high-throughput Data Independent Acquisition (DIA) approach with the throughput of 60 sample per day, we characterized the proteomic landscape of DRCs in comparison to parental PC3 cells. This optimized DIA method allowed for robust and reproducible protein quantification at the single-cell level, enabling the identification and quantification of over 1,300 proteins per cell on average. Distinct proteomic sub-clusters within the DRC population were identified, closely linked to variations in cell size. The study uncovered novel protein signatures, including the regulation of proteins critical for cell adhesion and metabolic processes, as well as the upregulation of surface proteins and transcription factors pivotal for cancer progression. Furthermore, by integrating SCP and single-cell RNA-seq (scRNA-seq) data, we identified six upregulated and ten downregulated genes consistently altered in drug-treated cells across both SCP and scRNA-seq platforms. These findings underscore the heterogeneity of DRCs and their unique molecular signatures, providing valuable insights into their biological behavior and potential therapeutic targets.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
向阳而生发布了新的文献求助10
1秒前
小虫虫发布了新的文献求助10
1秒前
1秒前
sunguangbin完成签到,获得积分10
2秒前
LLDDK完成签到,获得积分10
2秒前
蓝冰发布了新的文献求助10
2秒前
SciGPT应助wuuu_ruby采纳,获得10
2秒前
2秒前
2秒前
wwj1122完成签到,获得积分20
3秒前
3秒前
小孟皮儿完成签到,获得积分10
3秒前
yu完成签到,获得积分20
4秒前
cloverdown完成签到,获得积分10
5秒前
5秒前
Haoyaxin发布了新的文献求助10
5秒前
英勇以筠完成签到,获得积分20
6秒前
向阳而生完成签到,获得积分10
7秒前
李健应助现实的沛凝采纳,获得10
7秒前
7秒前
8秒前
重中之重发布了新的文献求助10
8秒前
Akim应助undergo采纳,获得10
8秒前
8秒前
echo发布了新的文献求助10
8秒前
8秒前
渠建武完成签到 ,获得积分10
8秒前
小孟皮儿关注了科研通微信公众号
9秒前
aajhajkahna应助凛凛采纳,获得10
10秒前
老妖怪完成签到,获得积分10
10秒前
anan发布了新的文献求助10
11秒前
wuuu_ruby完成签到,获得积分10
11秒前
青春完成签到,获得积分10
11秒前
Johann0124发布了新的文献求助10
12秒前
12秒前
hux完成签到,获得积分10
12秒前
cxzdm发布了新的文献求助10
13秒前
13秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7761450
求助须知:如何正确求助?哪些是违规求助? 9306448
关于积分的说明 20294745
捐赠科研通 7345969
什么是DOI,文献DOI怎么找? 3313140
关于科研通互助平台的介绍 2463444
邀请新用户注册赠送积分活动 2327394