Insight into adaption to hypoxia in Tibetan chicken embryonic brains using lipidomics

脂类学 缺氧(环境) 生物 脂质体 甘油磷酯 鞘脂 脂质代谢 生物化学 胚胎干细胞 细胞生物学 基因 化学 磷脂 氧气 有机化学
作者
Runjie Yu,Xie Feng-chang,Qiguo Tang
出处
期刊:Biochemical and Biophysical Research Communications [Elsevier]
卷期号:671: 183-191
标识
DOI:10.1016/j.bbrc.2023.05.084
摘要

Tibetan chickens (Gallus gallus; TBCs) are a good model for studying hypoxia-related challenges. However, lipid composition in TBC embryonic brains has not been elucidated. In this study, we characterized brain lipid profiles of embryonic day 18 TBCs and dwarf laying chickens (DLCs) during hypoxia (13% O2, HTBC18, and HDLC18) and normoxia (21% O2, NTBC18, and NDLC18) by using lipidomics. A total of 50 lipid classes, including 3540 lipid molecular species, were identified and grouped into glycerophospholipids, sphingolipids, glycerolipids, sterols, prenols, and fatty acyls. Of these lipids, 67 and 97 were expressed at different levels in the NTBC18 and NDLC18, and HTBC18 and HDLC18 samples, respectively. Several lipid species, including phosphatidylethanolamines (PEs), hexosylceramides, phosphatidylcholines (PCs), and phospha-tidylserines (PSs), were highly expressed in HTBC18. These results suggest that TBCs adapt bet-ter to hypoxia than DLCs and may have distinct cell membrane composition and nervous system development, at least partly owing to differential expression of several lipid species. One tri-glyceride, one PC, one PS, and three PE lipids were identified as potential markers that discrim-inated between lipid profiles of the HTBC18 and HDLC18 samples. The present study provides valuable information about the dynamic composition of lipids in TBCs that may explain the adaptation of this species to hypoxia.
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
1秒前
充电宝应助奶味蓝采纳,获得10
2秒前
2秒前
4秒前
喻诗云发布了新的文献求助10
4秒前
研友_VZG7GZ应助张子扬采纳,获得10
5秒前
慧莫如琛发布了新的文献求助10
6秒前
科研小狗发布了新的文献求助10
6秒前
封志泽完成签到,获得积分10
7秒前
7秒前
7秒前
饱满绮玉W完成签到,获得积分10
8秒前
9秒前
双木夕完成签到,获得积分10
9秒前
Gg完成签到,获得积分10
9秒前
9秒前
Akim应助靓丽剑心采纳,获得30
9秒前
机灵亦旋发布了新的文献求助10
9秒前
乐乐应助foxp3采纳,获得10
10秒前
来一起做朋友吧完成签到,获得积分10
10秒前
迅速之桃发布了新的文献求助100
11秒前
11秒前
12秒前
陶菊苏月发布了新的文献求助10
13秒前
fuerfuer发布了新的文献求助30
13秒前
tzjstar发布了新的文献求助10
13秒前
xhy完成签到 ,获得积分10
15秒前
asdfqwer应助崔同学采纳,获得10
15秒前
一颗星发布了新的文献求助10
15秒前
张子扬发布了新的文献求助10
15秒前
情怀应助美天仙采纳,获得10
16秒前
hai发布了新的文献求助10
18秒前
丘比特应助欣慰一斩采纳,获得10
18秒前
耍酷以柳发布了新的文献求助10
20秒前
21秒前
21秒前
栀然完成签到,获得积分10
21秒前
22秒前
科研通AI2S应助sekidesu采纳,获得10
22秒前
23秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3125274
求助须知:如何正确求助?哪些是违规求助? 2775580
关于积分的说明 7727081
捐赠科研通 2431059
什么是DOI,文献DOI怎么找? 1291657
科研通“疑难数据库(出版商)”最低求助积分说明 622216
版权声明 600368