Routine Workflow of Spatial Proteomics on Micro-formalin-Fixed Paraffin-Embedded Tissues

蛋白质组学 激光捕获显微切割 工作流程 显微解剖 计算生物学 化学 鸟枪蛋白质组学 计算机科学 纳米技术 生物 生物化学 数据库 材料科学 基因表达 基因
作者
Hao Chen,Yuefei Zhang,Haichao Zhou,Weiran Chen,Jiayi Peng,Feng Yang,Linyuan Fan,Jun Li,Jin Zi,Yan Ren,Qidan Li,Siqi Liu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (45): 16733-16743 被引量:13
标识
DOI:10.1021/acs.analchem.3c03848
摘要

In the era of single-cell biology, spatial proteomics has emerged as an important frontier. However, it still faces several challenges in technology. Formalin-fixed paraffin-embedded (FFPE) tissues are an important material in spatial proteomics, in which fixed tissues are excised using laser capture microdissection (LCM), followed by protein identification with mass spectrometry. For a satisfied spatial proteomics upon FFPE tissues, the excision area is expected to be as small as possible, and the identified proteins are countered upon as much as possible. For a general laboratory for spatial proteomics, a routine workflow is required, not relying on any special device, and is easily operating. In view of these challenges in technology, we initiated a technology evaluation throughout the entire procedure of proteomic analysis with micro-FFPE tissues. In contrast to the protocols reported previously, several innovations in technology were proposed and conducted, such as removal of destaining, decross-linking with "hang-down", solution simplification for peptide generation and balancing to excision area, and capture rate of micro-FFPE tissues. After optimization of all the necessary steps, a routine workflow was established, in which the minimized area for protein identification was 0.002 mm2, while the excision area for a consistent proteomic analysis was 0.05 mm2. Using the developed workflow and collecting the micro-FFPE tissues continuously, for the first time, a spatial proteomic atlas of mouse brain was preliminarily constructed, which exhibited the typical characteristics of spatial-dependent protein abundance and functional enrichment.
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
尊敬的故事完成签到,获得积分10
刚刚
crazy关注了科研通微信公众号
刚刚
汤泽琪完成签到,获得积分10
1秒前
Xie完成签到,获得积分10
1秒前
12发布了新的文献求助10
1秒前
明明明完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
2秒前
2秒前
852应助angang1994采纳,获得10
2秒前
2秒前
木木木sls完成签到,获得积分10
3秒前
3秒前
合适的白筠完成签到,获得积分10
3秒前
小奶瓶_完成签到 ,获得积分10
3秒前
4秒前
4秒前
4秒前
4秒前
丘比特应助Apricot采纳,获得10
4秒前
4秒前
yutingting发布了新的文献求助10
4秒前
李健的小迷弟应助Blank采纳,获得10
5秒前
Cker完成签到,获得积分10
5秒前
南方发布了新的文献求助10
5秒前
5秒前
无限的雅山完成签到,获得积分10
5秒前
麦候发布了新的文献求助10
5秒前
5秒前
6秒前
freak发布了新的文献求助10
6秒前
ouyo完成签到,获得积分10
6秒前
Qinghen发布了新的文献求助10
6秒前
碳酸饮料应助墨染青花采纳,获得10
6秒前
痛米发布了新的文献求助10
6秒前
6秒前
鳗鱼发布了新的文献求助10
7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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Clinical Electromyography 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5946216
求助须知:如何正确求助?哪些是违规求助? 7103302
关于积分的说明 15902865
捐赠科研通 5078480
什么是DOI,文献DOI怎么找? 2730875
邀请新用户注册赠送积分活动 1690875
关于科研通互助平台的介绍 1614782