Whole‐slide laser microdissection for tumour enrichment

激光捕获显微切割 显微解剖 病理 生物 医学 遗传学 基因表达 基因
作者
Robin J.N. Coope,Colin Schlosser,Richard Corbett,Stephen Pleasance,Basile Tessier-Cloutier,Pawan Pandoh,Heather Kirk,Simon Haile,Yongjun Zhao,Andrew J. Mungall,Marco A. Marra
出处
期刊:The Journal of Pathology [Wiley]
卷期号:253 (2): 225-233 被引量:2
标识
DOI:10.1002/path.5575
摘要

The practical application of genome-scale technologies to precision oncology research requires flexible tissue processing strategies that can be used to differentially select both tumour and normal cell populations from formalin-fixed, paraffin-embedded tissues. As tumour sequencing scales towards clinical implementation, practical difficulties in scheduling and obtaining fresh tissue biopsies at scale, including blood samples as surrogates for matched 'normal' DNA, have focused attention on the use of formalin-preserved clinical samples collected routinely for diagnostic purposes. In practice, such samples often contain both tumour and normal cells which, if correctly partitioned, could be used to profile both tumour and normal genomes, thus identifying somatic alterations. Here we report a semi-automated method for laser microdissecting entire slide-mounted tissue sections to enrich for cells of interest with sufficient yield for whole genome and transcriptome sequencing. Using this method, we demonstrated enrichment of tumour material from mixed tumour-normal samples by up to 67%. Leveraging new methods that allow for the extraction of high-quality nucleic acids from small amounts of formalin-fixed tissues, we further showed that the method was successful in yielding sequence data of sufficient quality for use in BC Cancer's Personalized OncoGenomics (POG) program. © 2020 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
曾滴苟完成签到,获得积分10
1秒前
mtfx发布了新的文献求助20
4秒前
7秒前
我是老大应助科研通管家采纳,获得10
8秒前
CharlotteBlue应助科研通管家采纳,获得10
8秒前
烟花应助科研通管家采纳,获得10
8秒前
张泽崇应助科研通管家采纳,获得10
8秒前
9秒前
9秒前
zhw完成签到,获得积分10
11秒前
wuhaixia完成签到,获得积分10
11秒前
zz发布了新的文献求助10
13秒前
13秒前
13秒前
木头君X完成签到,获得积分10
14秒前
14秒前
16秒前
sunny发布了新的文献求助10
18秒前
黎明应助CDUT_111采纳,获得30
20秒前
背后代芹关注了科研通微信公众号
20秒前
bu发布了新的文献求助10
22秒前
鑫博完成签到 ,获得积分20
23秒前
鑫博发布了新的文献求助10
27秒前
火星上的若颜关注了科研通微信公众号
27秒前
28秒前
biopig应助bu采纳,获得10
29秒前
桐桐应助端庄忆安采纳,获得10
29秒前
SciGPT应助葛力采纳,获得30
30秒前
背后代芹发布了新的文献求助10
33秒前
打打应助孜然道长采纳,获得10
34秒前
烤串儿发布了新的文献求助10
36秒前
39秒前
shaoqingmz完成签到 ,获得积分10
42秒前
skyline完成签到,获得积分20
43秒前
祖逸凡完成签到,获得积分10
44秒前
44秒前
sunny完成签到,获得积分20
44秒前
英姑应助暖阳采纳,获得10
47秒前
48秒前
biozhp完成签到,获得积分10
49秒前
高分求助中
Thermodynamic data for steelmaking 3000
Counseling With Immigrants, Refugees, and Their Families From Social Justice Perspectives pages 800
Electrochemistry 500
Statistical Procedures for the Medical Device Industry 400
藍からはじまる蛍光性トリプタンスリン研究 400
Cardiology: Board and Certification Review 400
A History of the Global Economy 350
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2367228
求助须知:如何正确求助?哪些是违规求助? 2076325
关于积分的说明 5193809
捐赠科研通 1803317
什么是DOI,文献DOI怎么找? 900435
版权声明 558009
科研通“疑难数据库(出版商)”最低求助积分说明 480549