Alteration of intracellular metabolome in osteosarcoma stem cells revealed by liquid chromatography-tandem mass spectrometry

化学 代谢组 色谱法 生物化学 柠檬酸循环 新陈代谢 代谢途径 嘧啶代谢 串联质谱法 代谢组学 质谱法 嘌呤
作者
Zhihui Zhong,Sifeng Mao,Haifeng Lin,Haifang Li,Jianhua Lin,Jin‐Ming Lin
出处
期刊:Talanta [Elsevier BV]
卷期号:204: 6-12 被引量:26
标识
DOI:10.1016/j.talanta.2019.05.088
摘要

Cancer stem cells (CSCs) are the origin of many malignant tumours, including osteosarcoma that mainly affects adolescents and is accompanied by a poor prognosis. However, little is known about the intrinsic biological information of osteosarcoma stem cells, particularly for the metabolomics features. Hence, an ultra-high performance liquid chromatography coupled with tandem Q-Exactive Orbitrap mass spectrometer (UHPLC-QE-MS)-based metabolomics approach was developed to investigate the metabolism changes in the human osteosarcoma (HOS) cell line in order to understand its possible mechanism. HMDB, METLIN and m/z Cloud databases were used to identify the metabolic markers. Additionally, the compounds were further identified using standards of the metabolites. Comparing HOS-CSCs with non-CSCs, 154 different metabolites were identified in both the positive and negative modes. Based on the clearly distinct metabolites, the changed metabolic pathways were analysed using MetaboAnalyst. The top five altered pathways included alanine, aspartate and glutamate metabolism; arginine and proline metabolism; glutathione metabolism; cysteine and methionine metabolism; and the citrate cycle (TCA cycle). The downregulation of the TCA cycle and elevation of oxidized glutathione levels suggested a decline of mitochondrial metabolism, while most of the amino acid metabolisms were upregulated. Further biological experiments including an analysis of mitochondrial activity confirmed the above hypotheses that were deduced from metabolomics results. These findings not only enhance our understanding of the altered metabolome in osteosarcoma stem cells but also demonstrate the great potential of such a metabolomics method based on UHPLC-QE-MS in large-scale cell studies.
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
无花果应助hhh采纳,获得10
刚刚
prince发布了新的文献求助10
刚刚
cdercder应助aaaa采纳,获得10
刚刚
小太阳发布了新的文献求助10
1秒前
2秒前
一米阳光发布了新的文献求助10
2秒前
2秒前
canary完成签到,获得积分10
2秒前
努力科研发布了新的文献求助10
3秒前
李洋发布了新的文献求助10
3秒前
4秒前
kyra完成签到,获得积分10
4秒前
4秒前
科研通AI6.4应助Zdonk采纳,获得10
5秒前
5秒前
英姑应助风清扬采纳,获得10
5秒前
卑以自牧发布了新的文献求助10
6秒前
xnzll完成签到,获得积分10
6秒前
changmengying完成签到,获得积分10
7秒前
MARGARET完成签到,获得积分10
8秒前
xh发布了新的文献求助10
8秒前
领导范儿应助yuhaolove采纳,获得10
8秒前
9秒前
李爱国应助粒子采纳,获得10
9秒前
cui完成签到,获得积分10
9秒前
Brenna完成签到 ,获得积分10
10秒前
领导范儿应助lxq888采纳,获得10
10秒前
huiii发布了新的文献求助10
10秒前
Copyright应助调皮的蓝天采纳,获得10
10秒前
11秒前
11秒前
luchong完成签到,获得积分10
11秒前
11秒前
12秒前
梨子应助zain采纳,获得10
12秒前
西西完成签到,获得积分10
13秒前
CodeCraft应助gouqi采纳,获得10
13秒前
鲤鱼慕山发布了新的文献求助30
14秒前
15秒前
汤孤风发布了新的文献求助10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7255184
求助须知:如何正确求助?哪些是违规求助? 8877130
关于积分的说明 18745487
捐赠科研通 6935528
什么是DOI,文献DOI怎么找? 3200300
关于科研通互助平台的介绍 2374891
邀请新用户注册赠送积分活动 2175361