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!

Combined proteomic strategies for in-depth venomic analysis of the beaked sea snake (Hydrophis schistosus) from Songkhla Lake, Thailand

毒液 蛋白质组 蛇毒 生物 环境化 蛋白质组学 海洋毒素 蝎科 毒素 数据库搜索引擎 计算生物学 生物信息学 生物化学 渔业 基因 金枪鱼 计算机科学 搜索引擎 情报检索
作者
Waeowalee Choksawangkarn,Sira Sriswasdi,Nuttiya Kalpongnukul,Piriya Wongkongkathep,Thammakorn Saethang,Lawan Chanhome,Panithi Laoungbua,Orawan Khow,MONTRI SUMONTHA,Narongsak Chaiyabutr,Visith Sitprija,Trairak Pisitkun
出处
期刊:Journal of Proteomics [Elsevier BV]
卷期号:259: 104559-104559 被引量:6
标识
DOI:10.1016/j.jprot.2022.104559
摘要

This study focuses on comprehensive characterization of the venom proteome of the beaked sea snake (Hydrophis schistosus) from Songkhla Lake, Thailand. H. schistosus can be considered as the deadliest sea snake commonly found in the Pacific and Indian oceans. Their envenomation causes muscular paralysis and rhabdomyolysis. To develop effective treatment for this snakebite, it is necessary to understand the detailed venom composition. In this study, multiple mass spectrometry-based approaches were employed. Bottom-up proteomics revealed that tryptic digestion in-solution provided a higher number of toxin proteins identified and a larger sequence coverage, compared to in-gel digestion. In addition, a venom gland transcriptome-derived database was constructed and used as a reference, which 43 known and novel toxin proteins were identified using this database and the UniProtKB. Three-finger toxin and phospholipase A2 were shown to be top two most abundant protein families. Minor compositions included other toxin families and a number of non-toxin proteins. Moreover, a hybrid de novo sequencing was performed to enhance identification of the small proteins/peptides. Using non-digested samples, there were 46 predicted toxin peptides. The finding from this study could lead to a better understanding in pathological effects of the snakebite and the future development of effective antivenoms. This study provides a better understanding of the venom proteome composition of the beaked sea snake (H. schistosus) found in the Gulf of Thailand, using a combination of different sample preparation techniques, Serpentes protein database searching, transcriptome-derived protein database searching, and a hybrid de novo peptide sequencing strategy. It revealed 13 toxin protein families and novel proteins in the beaked sea snake venom including new species of phospholipase A2s (PLA2s) and three-finger toxins (3FTxs). It could serve as a basis for the development of snakebite treatments and for the discovery of novel pharmaceutical drugs from the toxin peptides.

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
科研通AI2S应助yy采纳,获得10
1秒前
Paris完成签到 ,获得积分10
4秒前
林子超完成签到 ,获得积分10
12秒前
莫愁完成签到,获得积分10
26秒前
感动的沛槐完成签到,获得积分10
27秒前
诚心的语蕊完成签到,获得积分10
31秒前
279033306发布了新的文献求助20
32秒前
笑点低剑封完成签到,获得积分20
33秒前
酷波er应助zznzn采纳,获得10
40秒前
七七完成签到 ,获得积分10
46秒前
1分钟前
汉堡包应助高挑的水之采纳,获得10
1分钟前
ziyi发布了新的文献求助10
1分钟前
王乐安完成签到,获得积分10
1分钟前
1分钟前
KK完成签到,获得积分10
1分钟前
许家星发布了新的文献求助30
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
bkagyin应助科研通管家采纳,获得10
1分钟前
1分钟前
baibai完成签到,获得积分10
1分钟前
xuxiaoyan完成签到 ,获得积分10
1分钟前
科研通AI2S应助JinpengFeng采纳,获得10
1分钟前
1分钟前
科研通AI6.4应助许家星采纳,获得10
1分钟前
复杂黑夜发布了新的文献求助10
1分钟前
279033306完成签到,获得积分10
1分钟前
1分钟前
2分钟前
李健应助高挑的水之采纳,获得10
2分钟前
2分钟前
酷酷海豚完成签到,获得积分10
2分钟前
279033306关注了科研通微信公众号
2分钟前
JiaxinChen完成签到 ,获得积分10
2分钟前
2分钟前
ERIC发布了新的文献求助10
2分钟前
2分钟前
ERIC完成签到,获得积分20
2分钟前
poppy发布了新的文献求助10
2分钟前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
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 7201046
求助须知:如何正确求助?哪些是违规求助? 8835545
关于积分的说明 18650109
捐赠科研通 6843760
什么是DOI,文献DOI怎么找? 3178886
关于科研通互助平台的介绍 2335091
邀请新用户注册赠送积分活动 2153337