RESUMEN
The value of the molecular information obtained from saliva is dependent on the use of in vitro and in silico techniques. The main proteins of saliva when separated by capillary electrophoresis enable the establishment of individual profiles with characteristic patterns reflecting each individual phenotype. Different physiological or pathological conditions may be identified by specific protein profiles. The association of each profile to the particular protein composition provides clues as to which biological processes are compromised in each situation. Patient stratification according to different phenotypes often within a particular disease spectrum is especially important for the management of individuals carrying multiple diseases and requiring personalized interventions. In this work we present the SalivaPRINT Toolkit, which enables the analysis of protein profile patterns and patient phenotyping. Additionally, the SalivaPRINT Toolkit allows the identification of molecular weight ranges altered in a particular condition and therefore potentially involved in the underlying dysregulated mechanisms. This tutorial introduces the use of the SalivaPRINT Toolkit command line interface (https://github.com/salivatec/SalivaPRINT) as an independent tool for electrophoretic protein profile evaluation. It provides a detailed overview of its functionalities, illustrated by the application to the analysis of profiles obtained from a healthy population versus a population affected with inflammatory conditions. BIOLOGICAL SIGNIFICANCE: We present SalivaPRINT, which serves as a patient characterization tool to identify molecular weights related with particular conditions and, from there, find proteins, which may be involved in the underlying dysregulated cellular mechanisms. The proposed analysis strategy has the potential to boost personalized diagnosis. To our knowledge this is the first independent tool for electrophoretic protein profile evaluation and is crucial when a large number of complex electrophoretic profiles needs to be compared and classified.
Asunto(s)
Biología Computacional/métodos , Proteoma/metabolismo , Saliva/metabolismo , Proteínas y Péptidos Salivales/metabolismo , Programas Informáticos , Enfermedad Celíaca/metabolismo , Bases de Datos de Proteínas , Humanos , Inflamación/metabolismo , Aprendizaje Automático , Peso Molecular , Fenotipo , Proteoma/clasificaciónRESUMEN
Fourteen protein systems coded by 15 structural loci were typed by horizontal electrophoresis to determine possible associations betweem the protein phenotypes and productive traits in Landrace (N=109), Largo White (N= 116) and Duroe (N=57) pigs, reared in Southern Brazil. Signiticant associations between protein phenotypes and production traits were detected. The most consistent interaction were observed between two protein systems (phosphogluconate dehydrogenase - Pgd and Hemopexin -Hpx) and at least one of the four performance variables considered. In Duroc breed, the Pgd phenotypes were associated with daily weight gain (P < 0.01), feed conversion ratio (P < 0.01) and selection index (P < 0.001), while in Landrace significant associations were observed only with feed convertion ratio (P < 0.05). The Hpx phenotypes were associated with daily weight gain (P < 0.05) and backfat thickness (P < 0.05) in Large White and with this last variable (P < 0.01) and selection index (P < 0.05) in Duroc pigs. Since these results had not been reported previously, turther studies are need to confirm these associations.
Quatorze sistemas proteicos, codificados por 15 locos estruturais, foram tipados através de eletroforese horizontal para investigar possíveis associações entre os diferentes fenótipos proteicos e parâmetros de produção em suínos das raças Landrace (N=109), Largo White (N=116) e Duroc (N=57), criadas no sul do Brasil. As associações mais consistentes foram detectadas entre dois sistemas enzimáticos (Fosfogliconato desidrogenase - Pgd e Hemopexina - Hpx) e, pelo menos, um dos quatro parâmetros produtivos considerados. Na raça Duroc foram verificadas associações dos fenótipos de Pgd com o ganho de peso diário (P < 0,01), com a conversão alimentar (P < 0,01) e com o índice de seleção (P < 0,001), enquanto que na Landrace foram detectadas interações significantes apenas com relação à conversão alimentar (P < 0,05). Quanto ao sistema Hpx, foram verificadas associações signifícantes dos fenótipos desta proteína com o ganho de peso (P < 0,05) e com a espessura do toicinho (P < 0,05) entre os porcos Largo White e nos Duroc com a espessura do toicinho (P < 0,01) e com o índice de desempenho (P < 0,05). Uma vez que tais resultados não foram observados em investigações anteriores, outros estudos serão necessários para confirmar estas associações.