One-Cell Analysis as a Technique for True Single-Cell Analysis of Organelles in Breast Tumor and Adjacent Normal Tissue to Profile Fatty Acid Composition of Triglyceride Species

Jason S. Hamilton, G. Verbeck
{"title":"One-Cell Analysis as a Technique for True Single-Cell Analysis of Organelles in Breast Tumor and Adjacent Normal Tissue to Profile Fatty Acid Composition of Triglyceride Species","authors":"Jason S. Hamilton, G. Verbeck","doi":"10.6000/1927-7229.2016.05.02.1","DOIUrl":null,"url":null,"abstract":"Breast cancer develops in an adipose rich environment of normal adipocytes that are known to aid in tumor progression through an unknown method of lipid transfer from normal cells to tumor cells. Much research is built around lipid analysis of breast tumor and adjacent normal tissues to identify variations in the lipidome to gain an understanding of the role lipids play in progressing cancer. Ideally, single-cell analysis methods coupled to mass spectrometry that retain spatial information are best suited for this endeavor. However, many single-cell analysis methods are not capable of subcellular analysis of intact lipids while maintaining spatial information. One-Cell analysis is a true single-cell technique with the precision to extract single organelles from intact tissues while not interfering or disrupting adjacent cells. This method is used to extract and analyze single organelles from individual cells using nanomanipulation coupled to nanoelectrospray ionization mass spectrometry. Presented here is a demonstration of the analysis of single lipid bodies from two different sets of breast tumor and normal adjacent tissues to elucidate the fatty acid composition of triglycerides using One-Cell analysis coupled to tandem mass spectrometry. As a result, thirteen fatty acid species unique to the tumor tissues were identified, five in one set of tissues and eight in the other set.","PeriodicalId":14957,"journal":{"name":"Journal of Analytical Oncology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Analytical Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6000/1927-7229.2016.05.02.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Breast cancer develops in an adipose rich environment of normal adipocytes that are known to aid in tumor progression through an unknown method of lipid transfer from normal cells to tumor cells. Much research is built around lipid analysis of breast tumor and adjacent normal tissues to identify variations in the lipidome to gain an understanding of the role lipids play in progressing cancer. Ideally, single-cell analysis methods coupled to mass spectrometry that retain spatial information are best suited for this endeavor. However, many single-cell analysis methods are not capable of subcellular analysis of intact lipids while maintaining spatial information. One-Cell analysis is a true single-cell technique with the precision to extract single organelles from intact tissues while not interfering or disrupting adjacent cells. This method is used to extract and analyze single organelles from individual cells using nanomanipulation coupled to nanoelectrospray ionization mass spectrometry. Presented here is a demonstration of the analysis of single lipid bodies from two different sets of breast tumor and normal adjacent tissues to elucidate the fatty acid composition of triglycerides using One-Cell analysis coupled to tandem mass spectrometry. As a result, thirteen fatty acid species unique to the tumor tissues were identified, five in one set of tissues and eight in the other set.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
单细胞分析作为乳腺肿瘤及邻近正常组织细胞器的真正单细胞分析技术来分析甘油三酯种类的脂肪酸组成
乳腺癌是在正常脂肪细胞富含脂肪的环境中发生的,已知正常脂肪细胞通过一种未知的方法将脂质从正常细胞转移到肿瘤细胞,从而有助于肿瘤的进展。围绕乳腺肿瘤和邻近正常组织的脂质分析进行了大量研究,以确定脂质组的变化,从而了解脂质在癌症进展中的作用。理想情况下,单细胞分析方法与质谱相结合,保留空间信息是最适合这项工作的。然而,许多单细胞分析方法不能在保持空间信息的同时对完整的脂质进行亚细胞分析。单细胞分析是一种真正的单细胞技术,可以精确地从完整组织中提取单个细胞器,同时不干扰或破坏相邻细胞。该方法采用纳米操作耦合纳米电喷雾电离质谱法从单个细胞中提取和分析单个细胞器。本文展示了对两组不同的乳腺肿瘤和正常邻近组织的单一脂质体进行分析,以阐明使用单细胞分析耦合串联质谱法甘油三酯的脂肪酸组成。结果,鉴定出肿瘤组织特有的13种脂肪酸,其中5种在一组组织中,8种在另一组组织中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
New Insights on Hyperbaric Oxygen Therapy for Cancer Chemically Induced Brain Cancer in Sprague-Dawley Rats: Changed Lipidomics Mimics the Human Conditions Multiple Primary Malignant Tumours Magnetotherapy in Experimental and Clinical Neuro-Oncology: A Review Uterine Metastasis from Carcinoma of Breast – A Systematic Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1