Nie Xuekui, He Qiyi, Zhou Bin, Huang Dachun, Chen Junbo, Chen Qianzi, Yang Shuqing, Yu Xiaodong
Animal Toxin Group, Engineering Research Center of Active Substance and Biotechnology, Ministry of Education, College of Life Sciences, Chongqing Normal University, Chongqing, China.
Library, Chongqing Normal University, Chongqing, China.
J Venom Anim Toxins Incl Trop Dis. 2021 Oct 25;27:e20200196. doi: 10.1590/1678-9199-JVATITD-2020-0196. eCollection 2021.
Snake venoms are complex mixtures of toxic proteins or peptides encoded by various gene families that function synergistically to incapacitate prey. In the present study, in order to unravel the proteomic repertoire of venom, some trace abundance components were analyzed.
Shotgun proteomic approach combined with shotgun nano-LC-ESI-MS/MS were employed to characterize the medically important venom, after collected samples were enriched with the combinatorial peptide ligand library (CPLL).
This avenue helped us find some trace components, undetected before, in venom. The results indicated that venom comprised 84 distinct proteins from 10 toxin families and 12 other proteins. These results are more than twice the number of venom components obtained from previous studies, which were only 29 distinct proteins obtained through RP-HPLC for the venom of the same species. The present results indicated that in venom, the most abundant components (66.9%) included metalloproteinases, serine proteinases, and C-type lectin proteins; the medium abundant components (13%) comprised phospholipases A (PLA) and 5'-nucleotidases and nucleases; whereas least abundant components (6%) were aminopeptidases, L-amino acid oxidases (LAAO), neurotoxins and disintegrins; and the trace components. The last were undetected before the use of conventional shotgun proteomics combined with shotgun nano-LC-ESI-MS/MS, such as cysteine-rich secretory proteins Da-CRPa, phospholipases B-like 1, phospholipases B (PLB), nerve growth factors (NGF), glutaminyl-peptide cyclortransferases (QC), and vascular non-inflammatory molecules 2 (VNN2).
These findings demonstrated that the CPLL enrichment method worked well in finding the trace toxin proteins in venom, in contrast with the previous venomic characterization of by conventional LC-MS/MS. In conclusion, this approach combined with the CPLL enrichment was effective for allowing us to explore the hidden venomic profile and extended the list of potential venom toxins.
蛇毒是由各种基因家族编码的有毒蛋白质或肽的复杂混合物,它们协同作用以使猎物丧失能力。在本研究中,为了解开毒液的蛋白质组库,对一些痕量丰度成分进行了分析。
在收集的样本用组合肽配体库(CPLL)富集后,采用鸟枪法蛋白质组学方法结合鸟枪法纳升液相色谱-电喷雾串联质谱(shotgun nano-LC-ESI-MS/MS)对具有医学重要性的毒液进行表征。
这条途径帮助我们在毒液中发现了一些以前未检测到的痕量成分。结果表明,毒液包含来自10个毒素家族的84种不同蛋白质和12种其他蛋白质。这些结果是先前研究获得的毒液成分数量的两倍多,先前研究通过反相高效液相色谱(RP-HPLC)仅从同一物种的毒液中获得了29种不同蛋白质。目前的结果表明,在毒液中,最丰富的成分(66.9%)包括金属蛋白酶、丝氨酸蛋白酶和C型凝集素蛋白;中等丰富的成分(13%)包括磷脂酶A(PLA)和5'-核苷酸酶及核酸酶;而最不丰富的成分(6%)是氨肽酶、L-氨基酸氧化酶(LAAO)、神经毒素和去整合素;以及痕量成分。最后这些成分在使用传统鸟枪法蛋白质组学结合鸟枪法纳升液相色谱-电喷雾串联质谱之前未被检测到,如富含半胱氨酸的分泌蛋白Da-CRPa(富含半胱氨酸的分泌蛋白Da)、磷脂酶B样1、磷脂酶B(PLB)、神经生长因子(NGF)、谷氨酰胺基肽环转移酶(QC)和血管非炎性分子2(VNN2)。
这些发现表明,与先前通过传统液相色谱-质谱联用(LC-MS/MS)对该毒液进行的毒液组学表征相比,CPLL富集方法在发现该毒液中的痕量毒素蛋白方面效果良好。总之,这种与CPLL富集相结合的方法有效地使我们能够探索隐藏的毒液组图谱,并扩展了潜在毒液毒素的清单。