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Pregled bibliografske jedinice broj: 880060

Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis


Martinez-Subiela, Silvia; Horvatić, Anita; Escribano, Damian; Pardo-Marin, Luis; Kocaturck, Meric; Mrljak, Vladimir; Burchmore, Richard; Ceron, Jose; Yilmaz, Zeki
Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis // 6th World Congress of Leishmaniasis
Toledo, 2017. str. 1259-1259 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 880060 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis

Autori
Martinez-Subiela, Silvia ; Horvatić, Anita ; Escribano, Damian ; Pardo-Marin, Luis ; Kocaturck, Meric ; Mrljak, Vladimir ; Burchmore, Richard ; Ceron, Jose ; Yilmaz, Zeki

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
6th World Congress of Leishmaniasis / - Toledo, 2017, 1259-1259

Skup
6th World Congress on Leishmaniasis

Mjesto i datum
Toledo, Španjolska, 16.05.2017. - 20.05.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Proteomics, Tandem Mass Tags, canine leishmaniosis

Sažetak
Background: Proteomics allows identification of new biomarkers for diagnosis, therapeutic intervention of disease and treatment monitoring, Quantitative gel-free proteomic approach using isobaric labeling reagents such as Tandem Mass Tags (TMT® ; Proteome Sciences) enables concurrent identification and quantification of proteins originating from up to ten different samples in a single experiment. Moreover, the use of high resolution mass spectrometry instrumentation for the analysis of differentially TMT-labeled peptide moieties results in high quality data with good sensitivity, excellent signal-to- noise ratio and a broad dynamic range. However, TMT technology has not been previously applied to detect novel biomarkers for treatment monitoring in canine leishmaniosis. So, the objective of this study was to use the TMT labeling approach to generate comparative protein profiles of serum samples from dogs with leishmaniosis before and after treatment in order to identify new potential biomarkers. Methods: Serum samples from 5 clinically diseased dogs collected before and 1 month after the treatment with meglumine antimoniate (100 mg/kg, SC, q24h) and allopurinol (15 mg/kg, PO, q 12h) were used for the proteomic study. Non-depleted serum samples were subjected to reduction, alkylation, digestion and labeling with the 6-plex TMT reagents according to manufacturer procedure (Thermo Scientific) with some modifications. To obtain the information about protein identities and relative quantification, LC–MS analysis of TMT- labeled peptides was performed. Thermo raw files were used for Mascot search against NCBInr database mining Canis lupus familiaris proteins. Results: Gel-free label-based proteomic approach enabled identification of 117 canine proteins. Among these, 23 showed significant difference (p<0.05) in expression (two downregulated and 21 upregulated ranging from 1.25x– 2.5x). Most of these proteins are involved in two main physiopathological mechanisms: (1) immune response, such as IgA, inter-alpha-trypsin inhibitor heavy chain H4, serotransferrin, histidine rich glycoprotein, alpha 2 macroglobulin, paraoxonase and fibronectin ; and (2) coagulation cascade, such as kininogen-1 isoform X1 and X2, plasminogen precursor and beta-2-glycoprotein 1 precursor. Conclusions: TMT-based proteomic approach allowed identification of novel serum proteins that could be potentially suitable biomarkers for treatment monitoring of canine leishmaniosis.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Veterinarska medicina



POVEZANOST RADA


Ustanove:
Veterinarski fakultet, Zagreb

Profili:

Avatar Url Anita Horvatić (autor)

Avatar Url Vladimir Mrljak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada http

Citiraj ovu publikaciju:

Martinez-Subiela, Silvia; Horvatić, Anita; Escribano, Damian; Pardo-Marin, Luis; Kocaturck, Meric; Mrljak, Vladimir; Burchmore, Richard; Ceron, Jose; Yilmaz, Zeki
Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis // 6th World Congress of Leishmaniasis
Toledo, 2017. str. 1259-1259 (poster, međunarodna recenzija, sažetak, znanstveni)
Martinez-Subiela, S., Horvatić, A., Escribano, D., Pardo-Marin, L., Kocaturck, M., Mrljak, V., Burchmore, R., Ceron, J. & Yilmaz, Z. (2017) Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis. U: 6th World Congress of Leishmaniasis.
@article{article, author = {Martinez-Subiela, Silvia and Horvati\'{c}, Anita and Escribano, Damian and Pardo-Marin, Luis and Kocaturck, Meric and Mrljak, Vladimir and Burchmore, Richard and Ceron, Jose and Yilmaz, Zeki}, year = {2017}, pages = {1259-1259}, keywords = {Proteomics, Tandem Mass Tags, canine leishmaniosis}, title = {Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis}, keyword = {Proteomics, Tandem Mass Tags, canine leishmaniosis}, publisherplace = {Toledo, \v{S}panjolska} }
@article{article, author = {Martinez-Subiela, Silvia and Horvati\'{c}, Anita and Escribano, Damian and Pardo-Marin, Luis and Kocaturck, Meric and Mrljak, Vladimir and Burchmore, Richard and Ceron, Jose and Yilmaz, Zeki}, year = {2017}, pages = {1259-1259}, keywords = {Proteomics, Tandem Mass Tags, canine leishmaniosis}, title = {Use of high-resolution quantitative proteomic analysis to identify new potential biomarkers for the treatment monitoring of canine leishmaniosis}, keyword = {Proteomics, Tandem Mass Tags, canine leishmaniosis}, publisherplace = {Toledo, \v{S}panjolska} }




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