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The collection of blood plasma is minimally invasive, and the fluid is a rich source of proteins for biomarker studies in both humans and animals. Plasma protein analysis by mass spectrometry (MS) can be challenging, though modern data acquisition strategies, such as sequential window acquisition of all theoretical fragment ion spectra (SWATH), enable reproducible quantitation of hundreds of proteins in non-depleted plasma from humans and laboratory model animals. Although there is strong potential to enhance veterinary and translational research, SWATH-based plasma proteomics in non-laboratory animals is virtually non-existent. One limitation to date is the lack of comprehensively annotated genomes to aid protein identification. The current study established plasma peptide spectral repositories for sheep and cattle that enabled quantification of over 200 proteins in non-depleted plasma using SWATH approach. Moreover, bioinformatics pipeline was developed to leverage inter-species homologies to enhance the depth of baseline libraries and plasma protein quantification in bovids. Finally, the practical utility of using bovid libraries for SWATH data extraction in taxonomically related non-domestic ungulate species (giraffe) has been demonstrated. SIGNIFICANCE: Ability to quickly generate comprehensive spectral libraries is limiting the applicability of data-independent acquisition, such as SWATH, to study proteomes of non-laboratory animals. We describe an approach to obtain relatively shallow foundational plasma repositories from domestic ruminants and employ homology searches to increase the depth of data, which we subsequently extend to unsequenced ungulates using SWATH method. When applied to cross-species proteomics, the number of proteins quantified by our approach far exceeds what is traditionally used in plasma protein tests., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Reproduction efficiency of male animals is one of the key factors influencing the sustainability of livestock. Mass spectrometry (MS) based proteomics has become an important tool for studying seminal plasma proteomes. In this review, we summarize bioinformatics analysis strategies for current proteomics approaches, for identifying novel biomarkers of reproductive robustness., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Protein-protein interaction plays a crucial role in the cellular biological processes. Interface prediction can improve our understanding of the molecular mechanisms of the related processes and functions. In this work, we propose a classification method to recognize the interface residue based on the features of a weighted residue interaction network. The random forest algorithm is used for the prediction and 16 network parameters and the B-factor are acting as the element of the input feature vector. Compared with other similar work, the method is feasible and effective. The relative importance of these features also be analyzed to identify the key feature for the prediction. Some biological meaning of the important feature is explained. The results of this work can be used for the related work about the structure-function relationship analysis via a residue interaction network model., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Echinostomes are cosmopolitan parasites that infect a large number of different warm-blooded hosts, both in nature and in the laboratory. They also constitute an important group of food-borne trematodes of public health importance mainly in Southeast Asia and the Far East. In addition, echinostomes are an ideal model to study several aspects of intestinal helminth biology, since they present a number of advantages. For example, echinostomes are large worms whose life cycle is relatively easy to maintain in the laboratory. Recently, several studies documented their great value in the study of intestinal helminth-vertebrate host relationship. Detailed knowledge of their genome, transcriptome and proteome is likely to have an important impact on the development of control strategies for intestinal helminths. We present the first transcriptome of the adult stage of Echinostoma caproni using 454 sequencing coupled to a semi-automated bioinformatic analyses. 557,236 raw sequence reads were assembled into 28,577 contiguous sequences using iAssembler. 23,296 putative proteins were characterized based on homology, gene ontology and/or biochemical pathways. Comparisons of the transcriptome of E. caproni with those of other trematodes revealed similarities in the transcription pattern of molecules inferred to have key roles in parasite-host interactions. Enzymatic proteins like kinases and peptidases were abundant. Of the 3415 predicted excretory/secretory proteins compiled (including non-classical secretory proteins), 180 different proteins were confirmed by proteomic analysis. Potential drug targets were also identified., Biological Significance: In this study the first transcriptome of the adult stage of E. caproni is presented and compared to those of other trematodes revealing similarities in transcription for molecules inferred to have key roles in parasite-host interactions. 3415 predicted excretory/secretory proteins were compiled, being 180 different proteins confirmed by proteomic analysis. The current transcriptome data increased by nine times the number of previous protein identifications. In addition, potential drug targets for this parasite were identified. The present dataset should provide a solid foundation for future fundamental genomic, proteomic, and metabolomic explorations of E. caproni, as well as a basis for applied outcomes, such as the development of novel methods of intervention against this model organism and related parasites., (Copyright © 2013 Elsevier B.V. All rights reserved.)