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
小齐发布了新的文献求助10
刚刚
刚刚
1秒前
wanci应助纸皮核桃采纳,获得10
1秒前
1秒前
14完成签到,获得积分10
1秒前
wyvern114完成签到,获得积分10
1秒前
希望天下0贩的0应助配言采纳,获得10
1秒前
大模型应助勤劳的尔丝采纳,获得10
2秒前
2秒前
2秒前
科研通AI6.2应助活泼宛海采纳,获得10
2秒前
学术文献互助应助moon采纳,获得10
2秒前
3秒前
yzy完成签到,获得积分10
3秒前
jja881完成签到,获得积分10
4秒前
乐正如彤发布了新的文献求助10
4秒前
4秒前
ming830发布了新的文献求助10
5秒前
Gavin发布了新的文献求助10
5秒前
小马哥发布了新的文献求助10
5秒前
sxy完成签到,获得积分10
5秒前
5秒前
张乐完成签到,获得积分20
5秒前
5秒前
luochen发布了新的文献求助10
6秒前
chen发布了新的文献求助10
6秒前
jjbl发布了新的文献求助10
6秒前
hanahuang发布了新的文献求助10
7秒前
7秒前
8秒前
Mic发布了新的文献求助10
8秒前
rabpig给xhDoc的求助进行了留言
8秒前
8秒前
9秒前
9秒前
9秒前
moon完成签到,获得积分20
9秒前
9秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Decentring Leadership 800
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
Genera Orchidacearum Volume 4: Epidendroideae, Part 1 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6288280
求助须知:如何正确求助?哪些是违规求助? 8106938
关于积分的说明 16958732
捐赠科研通 5353302
什么是DOI,文献DOI怎么找? 2844749
邀请新用户注册赠送积分活动 1821935
关于科研通互助平台的介绍 1678105