亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Cross-Platform Comparison of Caenorhabditis elegans Tissue Extraction Strategies for Comprehensive Metabolome Coverage

化学 代谢组学 代谢组 秀丽隐杆线虫 代谢物 色谱法 甲醇 均质机 计算生物学 生物化学 生物 基因 有机化学
作者
Florian Geier,Elizabeth J. Want,Armand M. Leroi,Jacob G. Bundy
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:83 (10): 3730-3736 被引量:113
标识
DOI:10.1021/ac2001109
摘要

The nematode Caenorhabditis elegans is widely used as a model organism in many areas of the life sciences. Metabolite profiling (metabolomics/metabonomics) is a powerful means of assigning phenotypes to experimentally perturbed C. elegans samples (e.g., mutants, RNAi, or chemical treatments). Tissue extraction is a key step, and high-quality and reproducible extractions are essential to the success of metabolomics studies. We have performed an extensive comparison of different tissue extraction techniques with C. elegans, comparing two different solvent systems (chloroform/methanol and aqueous methanol) and six different tissue disruption techniques (including manual grinding in a cooled mortar, homogenization, and various grinding media in both reciprocating and orbital tissue mills). All twelve combinations were then compared by GC/MS, (1)H NMR spectroscopy, and UPLC-MS, and the results were evaluated by both overall multivariate clustering approaches as well as distributions over individual metabolites/metabolite features of coefficient of variation and yield. The choice of solvent had more influence than the disruption method used, although the homogenizer results were clearly outliers. Overall, we concluded that bead-beating with 80% methanol solution was a good trade-off, although it is important to note that the definition of the apparent "best" method depended on which analytical platform was used to evaluate the results.

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
3秒前
不抛弃不放弃完成签到,获得积分20
4秒前
TIMEIEXIST完成签到,获得积分10
5秒前
lxl发布了新的文献求助10
7秒前
10秒前
Hello应助lxl采纳,获得10
13秒前
15秒前
能HJY完成签到,获得积分10
18秒前
26秒前
qq星完成签到,获得积分10
28秒前
drzz完成签到,获得积分10
32秒前
qq星发布了新的文献求助10
33秒前
xttawy发布了新的文献求助10
39秒前
张传强发布了新的文献求助10
40秒前
yzr完成签到,获得积分10
41秒前
44秒前
大力的灵雁应助lansing采纳,获得100
45秒前
acca完成签到,获得积分10
46秒前
李健的粉丝团团长应助yzr采纳,获得10
47秒前
lulu_fellow完成签到 ,获得积分10
50秒前
搜集达人应助123456采纳,获得10
53秒前
hahamissyu应助WX采纳,获得20
56秒前
57秒前
1分钟前
yzr发布了新的文献求助10
1分钟前
1分钟前
123456完成签到,获得积分10
1分钟前
1分钟前
Owen应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
SciGPT应助科研通管家采纳,获得10
1分钟前
1分钟前
FashionBoy应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
隐形曼青应助科研通管家采纳,获得10
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
Contemporary Debates in Epistemology (3rd Edition) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6165538
求助须知:如何正确求助?哪些是违规求助? 7993093
关于积分的说明 16620659
捐赠科研通 5272068
什么是DOI,文献DOI怎么找? 2812776
邀请新用户注册赠送积分活动 1792735
关于科研通互助平台的介绍 1658719