巴拿马Tityus cf. Asthenes毒腺和粗毒液的转录组学信息蛋白质组学:酶、蛋白质、毒素和抗菌肽。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Marcos H Salazar, Octavio Samudio, Iván Arenas, Magdalena Hernández-Ortiz, Herlinda Clement, Lorena Hernandez-Orihuela, Sergio Encarnación-Guevara, John Cleghorn, Hildaura Acosta, Gerardo Corzo
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引用次数: 0

摘要

采用转录组学和蛋白质组学方法对蛇毒腺和粗毒液进行了分析。高通量RNA测序(RNA-seq)和质谱(MS/MS)允许鉴定各种毒液蛋白质。值得注意的是,转录组学和蛋白质组学方法鉴定了透明质酸酶、影响电压门控Na+通道的毒素、lpv、富含半胱氨酸的分泌蛋白、金属蛋白酶、丝氨酸蛋白酶、α -淀淀酶、影响电压门控K+通道的毒素、蝎钙蛋白样、单一胰岛素样生长因子结合域蛋白、非二硫桥接肽、凝集素、几丁质酶、kunitz型丝氨酸蛋白酶抑制剂、环肽胰蛋白酶抑制剂、和未表征的蛋白质。这些新鉴定的成分增强了对提图斯毒性的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcriptomics-Informed Proteomics of Venom Glands and Crude Venom from Tityus cf. Asthenes from Panama: Enzymes, Proteins, Toxins, and Antimicrobial Peptides.

The venom gland and the crude venom of Tityus cf. asthenes were analyzed by transcriptomic and proteomic methods. High-throughput RNA sequencing (RNA-seq) and mass spectrometry (MS/MS) allowed for the identification of a wide range of venom proteins. Notably, transcriptomic and proteomic venom approaches identified a hyaluronidase, toxins that affect the voltage-gated Na+ channels, LVPs, cysteine-rich secretory proteins, metalloproteinases, serine proteases, alpha-amylases, toxins that affect the voltage-gated K+ channel, scorpion calcin-like, single insulin-like growth factor-binding domain proteins, nondisulfide-bridged peptides, lectins, chitinases, Kunitz-type serine protease inhibitors, cyclotide trypsin inhibitors, and uncharacterized proteins. These newly identified components enhance the understanding of the venomous nature of Tityus cf. asthenes.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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