Bovine colostrum (BC), the initial milk secreted by the mammary gland immediately after parturition, is widely used for several health applications. We here propose an off-target method based on proteomic analysis to explain at molecular level the potential health benefits of BC. The method is based on the set-up of an exhaustive protein data bank of bovine colostrum, including the minor protein components, followed by a bioinformatic functional analysis. The proteomic approach based on ProteoMiner technology combined to a highly selective affinity chromatography approach for the immunoglobulins depletion, identified 1786 proteins (medium confidence; 634 when setting high confidence), which were then clustered on the basis of their biological function. Protein networks were then created on the basis of the biological functions or health claims as input. A set of 93 proteins involved in the wound healing process was identified. Such an approach also permits the exploration of novel biological functions of BC by searching in the database the presence of proteins characterized by innovative functions. In conclusion an advanced approach based on an in depth proteomic analysis is reported which permits an explanation of the wound healing effect of bovine colostrum at molecular level and allows the search of novel potential beneficial effects. (C) 2016 Elsevier B.V. All rights reserved.

An in depth proteomic analysis based on ProteoMiner, affinity chromatography and nano-HPLC-MS/MS to explain the potential health benefits of bovine colostrum

FASOLI, ELISA;RIGHETTI, PIERGIORGIO;
2016-01-01

Abstract

Bovine colostrum (BC), the initial milk secreted by the mammary gland immediately after parturition, is widely used for several health applications. We here propose an off-target method based on proteomic analysis to explain at molecular level the potential health benefits of BC. The method is based on the set-up of an exhaustive protein data bank of bovine colostrum, including the minor protein components, followed by a bioinformatic functional analysis. The proteomic approach based on ProteoMiner technology combined to a highly selective affinity chromatography approach for the immunoglobulins depletion, identified 1786 proteins (medium confidence; 634 when setting high confidence), which were then clustered on the basis of their biological function. Protein networks were then created on the basis of the biological functions or health claims as input. A set of 93 proteins involved in the wound healing process was identified. Such an approach also permits the exploration of novel biological functions of BC by searching in the database the presence of proteins characterized by innovative functions. In conclusion an advanced approach based on an in depth proteomic analysis is reported which permits an explanation of the wound healing effect of bovine colostrum at molecular level and allows the search of novel potential beneficial effects. (C) 2016 Elsevier B.V. All rights reserved.
Bovine colostrum proteome; Combinatorial peptide ligand libraries; Low-abundance proteins; Mass spectrometry; Wound healing; Analytical Chemistry; Drug Discovery3003 Pharmaceutical Science; 3003; Spectroscopy; Clinical Biochemistry
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/984225
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