Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices

Tissue microenvironments are rich in signaling molecules. However, factors in the tissue matrix that can serve as tissue-specific cues for engineering pancreatic tissues have not been thoroughly identified. In this study, we performed a comprehensive proteomic analysis of porcine decellularized panc...

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Autores principales:	Ming Hu, Huanjing Bi, Deana Moffat, Margaret Blystone, Paul DeCostanza, Tchilabalo Alayi, Kaiming Ye, Yetrib Hathout, Sha Jin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	pancreatic extracellular matrix proteins proteomics bioinformatics decellularization age and gender KEGG pathway Organic chemistry QD241-441
Acceso en línea:	https://doaj.org/article/3ae06441d80249eba04a7294ca187097
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spelling	oai:doaj.org-article:3ae06441d80249eba04a7294ca1870972021-11-11T18:40:26ZProteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices10.3390/molecules262167401420-3049https://doaj.org/article/3ae06441d80249eba04a7294ca1870972021-11-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/21/6740https://doaj.org/toc/1420-3049Tissue microenvironments are rich in signaling molecules. However, factors in the tissue matrix that can serve as tissue-specific cues for engineering pancreatic tissues have not been thoroughly identified. In this study, we performed a comprehensive proteomic analysis of porcine decellularized pancreatic extracellular matrix (dpECM). By profiling dpECM collected from subjects of different ages and genders, we showed that the detergent-free decellularization method developed in this study permits the preservation of approximately 62.4% more proteins than a detergent-based method. In addition, we demonstrated that dpECM prepared from young pigs contained approximately 68.5% more extracellular matrix proteins than those prepared from adult pigs. Furthermore, we categorized dpECM proteins by biological process, molecular function, and cellular component through gene ontology analysis. Our study results also suggested that the protein composition of dpECM is significantly different between male and female animals while a KEGG enrichment pathway analysis revealed that dpECM protein profiling varies significantly depending on age. This study provides the proteome of pancreatic decellularized ECM in different animal ages and genders, which will help identify the bioactive molecules that are pivotal in creating tissue-specific cues for engineering tissues in vitro.Ming HuHuanjing BiDeana MoffatMargaret BlystonePaul DeCostanzaTchilabalo AlayiKaiming YeYetrib HathoutSha JinMDPI AGarticlepancreatic extracellular matrix proteinsproteomicsbioinformaticsdecellularizationage and genderKEGG pathwayOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6740, p 6740 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pancreatic extracellular matrix proteins proteomics bioinformatics decellularization age and gender KEGG pathway Organic chemistry QD241-441
spellingShingle	pancreatic extracellular matrix proteins proteomics bioinformatics decellularization age and gender KEGG pathway Organic chemistry QD241-441 Ming Hu Huanjing Bi Deana Moffat Margaret Blystone Paul DeCostanza Tchilabalo Alayi Kaiming Ye Yetrib Hathout Sha Jin Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
description	Tissue microenvironments are rich in signaling molecules. However, factors in the tissue matrix that can serve as tissue-specific cues for engineering pancreatic tissues have not been thoroughly identified. In this study, we performed a comprehensive proteomic analysis of porcine decellularized pancreatic extracellular matrix (dpECM). By profiling dpECM collected from subjects of different ages and genders, we showed that the detergent-free decellularization method developed in this study permits the preservation of approximately 62.4% more proteins than a detergent-based method. In addition, we demonstrated that dpECM prepared from young pigs contained approximately 68.5% more extracellular matrix proteins than those prepared from adult pigs. Furthermore, we categorized dpECM proteins by biological process, molecular function, and cellular component through gene ontology analysis. Our study results also suggested that the protein composition of dpECM is significantly different between male and female animals while a KEGG enrichment pathway analysis revealed that dpECM protein profiling varies significantly depending on age. This study provides the proteome of pancreatic decellularized ECM in different animal ages and genders, which will help identify the bioactive molecules that are pivotal in creating tissue-specific cues for engineering tissues in vitro.
format	article
author	Ming Hu Huanjing Bi Deana Moffat Margaret Blystone Paul DeCostanza Tchilabalo Alayi Kaiming Ye Yetrib Hathout Sha Jin
author_facet	Ming Hu Huanjing Bi Deana Moffat Margaret Blystone Paul DeCostanza Tchilabalo Alayi Kaiming Ye Yetrib Hathout Sha Jin
author_sort	Ming Hu
title	Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
title_short	Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
title_full	Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
title_fullStr	Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
title_full_unstemmed	Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices
title_sort	proteomic and bioinformatic analysis of decellularized pancreatic extracellular matrices
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3ae06441d80249eba04a7294ca187097
work_keys_str_mv	AT minghu proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT huanjingbi proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT deanamoffat proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT margaretblystone proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT pauldecostanza proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT tchilabaloalayi proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT kaimingye proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT yetribhathout proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT shajin proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices
_version_	1718431755963203584

Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices

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