Metabolomic changes in culture media with varying passage numbers of pig muscle stem cell culture for cultured meat production

代谢组学 细胞培养 生物 男科 分子生物学 化学 食品科学 生物信息学 遗传学 医学
作者
Doo Yeon Jung,Hyun Jung Lee,Minsu Kim,Kyeong Min Na,Do Yup Lee,Cheorun Jo
出处
期刊:Food Research International [Elsevier BV]
卷期号:182: 114138-114138 被引量:2
标识
DOI:10.1016/j.foodres.2024.114138
摘要

Selecting the primary cells in an optimal state for cultured meat production is a crucial challenge in commercializing cultured meat. We investigated the metabolomic changes in culture media according to passage numbers for indirectly assessing the state of primary cells. Pig skeletal muscle stem cells (PSCs) harvested from the biceps femoris muscles of 7-d-old crossbred pigs (Landrace × Yorkshire × Duroc, LYD) were used for cell characterization. Fresh media (FM) and spent media (SM) of PSCs during passages 1 to 3 in vitro culture were prepared for metabolomics analysis. SM was collected on the third day of proliferation for each passage of PSCs. Cell characterization analysis revealed that the proliferation rate was highest at passage 2; however, a significant loss of expression of myogenic marker genes was observed at passage 3. Based on metabolomic profiles of culture media, FM and SM groups (SM1, SM2, and SM3) were clearly separated by partial least squares-discriminant analysis. A total of seven differentially abundant metabolites (DAMs) were identified from FM and SM for each passage, based on the following criteria: P < 0.05, fold change > 1.5 or < 0.66, and a variable importance in projection score > 1.5. All seven DAMs and their interconnected metabolites might be primarily used as substrates for energy production and most of them were relatively abundant in SM3. Among the seven DAMs, the three potential biomarkers (γ-glutamyl-L-leucine, cytosine, and ketoleucine), which showed significant changes exclusively in SM3, each had an area under the curve value of 1. Therefore, monitoring the levels of these key metabolites in culture media could serve as a quality control measure for cultured meat production by enabling the indirect detection of suboptimal PSCs based on their proliferation ability.

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
安戈完成签到 ,获得积分10
3秒前
byron完成签到 ,获得积分10
4秒前
刘油果完成签到 ,获得积分10
5秒前
zsmj23完成签到 ,获得积分0
7秒前
内向从灵完成签到 ,获得积分10
8秒前
CWC完成签到,获得积分10
10秒前
身体健康完成签到 ,获得积分10
11秒前
美好曼寒完成签到 ,获得积分20
12秒前
学习完成签到 ,获得积分10
14秒前
生命科学完成签到 ,获得积分10
15秒前
斐波拉切土豆完成签到 ,获得积分10
18秒前
18秒前
橘子完成签到,获得积分10
22秒前
DDvicky发布了新的文献求助10
23秒前
温柔的忆之完成签到,获得积分10
24秒前
传奇3的应助被bobo采纳,获得10
25秒前
huluwa完成签到,获得积分10
25秒前
跳跃的青完成签到,获得积分10
28秒前
Sleven完成签到,获得积分10
29秒前
ghtsmile完成签到 ,获得积分10
29秒前
刘大表演艺术家完成签到 ,获得积分10
30秒前
leemiii完成签到 ,获得积分10
31秒前
CC完成签到,获得积分10
32秒前
白桃战士完成签到,获得积分10
34秒前
共享精神的应助被科研通管家采纳,获得10
38秒前
水煮电吹风的应助被珞珈采纳,获得10
40秒前
生命科学的第一推动力完成签到 ,获得积分10
40秒前
DKX完成签到 ,获得积分10
42秒前
irene完成签到,获得积分10
43秒前
科研通AI6.2的应助被DDvicky采纳,获得10
45秒前
问道完成签到,获得积分10
58秒前
DOC_XIONG的应助被珞珈采纳,获得10
1分钟前
jiqiangqiang完成签到 ,获得积分10
1分钟前
舒心的蓝完成签到,获得积分10
1分钟前
珞珈完成签到,获得积分10
1分钟前
不想学习完成签到,获得积分10
1分钟前
密斯特蟹完成签到,获得积分10
1分钟前
1分钟前
坚强夜梦完成签到,获得积分10
1分钟前
sunflower完成签到,获得积分0
1分钟前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7809765
求助须知:如何正确求助?哪些是违规求助? 9341827
关于积分的说明 20508691
捐赠科研通 7402555
什么是DOI,文献DOI怎么找? 3329203
关于科研通互助平台的介绍 2476052
邀请新用户注册赠送积分活动 2347995