Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588251/ https://www.ncbi.nlm.nih.gov/pubmed/34771149 http://dx.doi.org/10.3390/molecules26216740 |
_version_ | 1784598401645543424 |
---|---|
author | Hu, Ming Bi, Huanjing Moffat, Deana Blystone, Margaret DeCostanza, Lillian Alayi, Tchilabalo Ye, Kaiming Hathout, Yetrib Jin, Sha |
author_facet | Hu, Ming Bi, Huanjing Moffat, Deana Blystone, Margaret DeCostanza, Lillian Alayi, Tchilabalo Ye, Kaiming Hathout, Yetrib Jin, Sha |
author_sort | Hu, Ming |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8588251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85882512021-11-13 Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices Hu, Ming Bi, Huanjing Moffat, Deana Blystone, Margaret DeCostanza, Lillian Alayi, Tchilabalo Ye, Kaiming Hathout, Yetrib Jin, Sha Molecules Article 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. MDPI 2021-11-08 /pmc/articles/PMC8588251/ /pubmed/34771149 http://dx.doi.org/10.3390/molecules26216740 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hu, Ming Bi, Huanjing Moffat, Deana Blystone, Margaret DeCostanza, Lillian Alayi, Tchilabalo Ye, Kaiming Hathout, Yetrib Jin, Sha Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices |
title | 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_short | Proteomic and Bioinformatic Analysis of Decellularized Pancreatic Extracellular Matrices |
title_sort | proteomic and bioinformatic analysis of decellularized pancreatic extracellular matrices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588251/ https://www.ncbi.nlm.nih.gov/pubmed/34771149 http://dx.doi.org/10.3390/molecules26216740 |
work_keys_str_mv | AT huming proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT bihuanjing proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT moffatdeana proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT blystonemargaret proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT decostanzalillian proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT alayitchilabalo proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT yekaiming proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT hathoutyetrib proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices AT jinsha proteomicandbioinformaticanalysisofdecellularizedpancreaticextracellularmatrices |