Dataset Information

A substrate-like thrombin inhibitor from the saliva of the flea Xenopsylla cheopis is resistant to cleavage by the enzyme

ABSTRACT: XC-43 is a small peptide identified in the sialome of the flea Xenopsylla cheopis and act as a fast, tight-binding inhibitor of thrombin with a dissociation constant of less than 10 pM. The crystal structure of XC-43 in complex with thrombin shows that despite its substrate-like binding mode, XC-43 is not detectably cleaved by thrombin and that it interacts with the thrombin surface from the enzyme catalytic site through the fibrinogen-binding exosite I. The low rate of hydrolysis is verified in solution experiments with XC-43 which show the substrate to be largely intact after two hours of incubation with thrombin at 37°C. The potential of XC-43 as an anticoagulant is suggested by increased arterial occlusion time, tail bleeding time, and blood coagulation parameters in rat models of thrombosis.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Xenopsylla Cheopis

TISSUE(S): Salivary Gland

SUBMITTER: Stephen Lu

LAB HEAD: Jose M.C. Ribeiro

PROVIDER: PXD028851 | Pride | 2022-02-16

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	PI19-23807.raw	Raw
	PI19-23807.sqt	Other
	checksum.txt	Txt

Items per page:

1 - 3 of 3

Publications

Identification of a substrate-like cleavage-resistant thrombin inhibitor from the saliva of the flea Xenopsylla cheopis.

Lu Stephen S Tirloni Lucas L Oliveira Markus Berger MB Bosio Christopher F CF Nardone Glenn A GA Zhang Yixiang Y Hinnebusch B Joseph BJ Ribeiro José M JM Andersen John F JF

The Journal of biological chemistry 20211021 5

The salivary glands of the flea Xenopsylla cheopis, a vector of the plague bacterium, Yersinia pestis, express proteins and peptides thought to target the hemostatic and inflammatory systems of its mammalian hosts. Past transcriptomic analyses of salivary gland tissue revealed the presence of two similar peptides (XC-42 and XC-43) having no extensive similarities to any other deposited sequences. Here we show that these peptides specifically inhibit coagulation of plasma and the amidolytic activ ...[more]

PMID: 34688666

Similar Datasets

Project description:Background: Anopheles culicifacies is a rural vector of malaria in tropical and sub tropical South East Asian region. The salivary gland of the mosquito is the target for sporozoite interaction, blood feeding behavior, haemostasis and vector-parasite interactions. Malaria parasite matures inside the salivary gland, gain competence and transmitted to the host along with the saliva during biting. The importance of the proteins expressed in salivary gland is the first step in understanding the physiology of blood feeding and may provide insights into vector- parasite interactions. Since, no genomic or transcriptomics information is available of Anopheles culicifacies, therefore locally expressed functional proteins in salivary glands are of much importance. . Method: In this study, 1DE protein and in solution digestion was combined with tandem mass spectrometry (nano LC-MS/MS) and computational bioinformatics for data mining was employed to study the proteome profile of salivary glands of sugar fed An. culicifacies mosquito species. Functional annotation of all the identified proteins was carried out using gene ontology tools, CELLO and SMART analysis software. Results: Total 102 proteins were identified and analysed by SEQUEST algorithm against mosquito protein database from Uniprot/NCBI. Out of which 81 proteins were identified using gel free approach and 21 proteins using in-gel approach and 15 were common among these two approaches. All the identified proteins were categorized in to 23 groups of biological processes using GO tool. 7 proteins were depicted to be secretary in nature by investigating the signal peptide present. Potential proteins with unknown function were predicted by analyzing their functional association with other characterized proteins by STRING algorithm and were categorized in cell adhesion, cytoskeleton and membrane trafficking networks. Conclusion: Our study elucidates the first proteomic dataset of An. culicifacies salivary gland proteins. Functional annotation of salivary proteins and complementary gene ontology assignments in An. culicifacies species may contribute towards understanding the complex physiology of the tissues in this species. This proteome baseline data may facilitate the discernment of salivary glands and parasite correlation during blood feeding. Furthermore, this mass spectrometry based proteomic data may also provide insights into the elucidation of role of differential functional proteins present in refractory An. culicifacies mosquito and may be useful for development of effective malaria control strategies.

Project description:Compatibility between aphids and plant hosts is genetically determined by both interacting organisms. For example, plants may carry resistance (R) genes or deploy chemical defences. Aphid saliva contains many proteins that are secreted into host tissues. Subsets of these proteins are predicted to act as effectors, either subverting or triggering host immunity. However, associating particular effectors with virulence or avirulence outcomes presents challenges due to the combinatorial complexity. Here we use defined aphid and host geneticsto test for co-segregation of expressed aphid transcripts and proteins with virulent or avirulent phenotypes. We compared virulent and avirulent pea aphid parental genotypes, and their bulk segregant F1 progeny on Medicago truncatula genotypes carrying or lacking the RAP1 resistance quantitative trait locus. Differential expression analysis based on RNA sequencing of whole bodyand head samples, in combination with proteomics of saliva and salivary glands, enabled us to pinpoint proteins associated with virulence/avirulence phenotypes. There was relatively little impact of host genotype, whereas large numbers of transcripts and proteins were differentially expressed between parental aphids, likely a reflection of their classification as divergent biotypes within the pea aphid species complex. Many fewer transcripts intersected with the equivalent differential expression patterns in the bulked F1F1 progeny, providing an effective filter for removing genomic background effects. Overall, there were more upregulated genes detected in the F1 avirulent dataset compared with the virulent one. Some of the differentially expressed transcripts were also found in the differentially expressed proteomes, with aminopeptidase N proteins being the most frequent differentially expressed family. In addition, a substantial proportion (23%) of salivary proteins lack annotations, suggesting that many novel functions remain to be discovered.