Cargando…
Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes
The differentiation of human adipose derived stem cells toward a neural phenotype by small molecules has been a vogue topic in the last decade. The characterization of the produced cells has been explored on a broad scale, examining morphological and specific surface protein markers; however, the la...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795898/ https://www.ncbi.nlm.nih.gov/pubmed/33375241 http://dx.doi.org/10.3390/ijms22010160 |
_version_ | 1783634553271746560 |
---|---|
author | Santos, Jerran Dolai, Sibasish O’Rourke, Matthew B. Liu, Fei Padula, Matthew P. Molloy, Mark P. Milthorpe, Bruce K. |
author_facet | Santos, Jerran Dolai, Sibasish O’Rourke, Matthew B. Liu, Fei Padula, Matthew P. Molloy, Mark P. Milthorpe, Bruce K. |
author_sort | Santos, Jerran |
collection | PubMed |
description | The differentiation of human adipose derived stem cells toward a neural phenotype by small molecules has been a vogue topic in the last decade. The characterization of the produced cells has been explored on a broad scale, examining morphological and specific surface protein markers; however, the lack of insight into the expression of functional proteins and their interactive partners is required to further understand the extent of the process. The phenotypic characterization by proteomic profiling allows for a substantial in-depth analysis of the molecular machinery induced and directing the cellular changes through the process. Herein we describe the temporal analysis and quantitative profiling of neural differentiating human adipose-derived stem cells after sub-proteome enrichment using a bisindolylmaleimide chemical probe. The results show that proteins enriched by the Bis-probe were identified reproducibly with 133, 118, 126 and 89 proteins identified at timepoints 0, 1, 6 and 12, respectively. Each temporal timepoint presented several shared and unique proteins relative to neural differentiation and their interactivity. The major protein classes enriched and quantified were enzymes, structural and ribosomal proteins that are integral to differentiation pathways. There were 42 uniquely identified enzymes identified in the cells, many acting as hubs in the networks with several interactions across the network modulating key biological pathways. From the cohort, it was found by gene ontology analysis that 18 enzymes had direct involvement with neurogenic differentiation. |
format | Online Article Text |
id | pubmed-7795898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77958982021-01-10 Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes Santos, Jerran Dolai, Sibasish O’Rourke, Matthew B. Liu, Fei Padula, Matthew P. Molloy, Mark P. Milthorpe, Bruce K. Int J Mol Sci Article The differentiation of human adipose derived stem cells toward a neural phenotype by small molecules has been a vogue topic in the last decade. The characterization of the produced cells has been explored on a broad scale, examining morphological and specific surface protein markers; however, the lack of insight into the expression of functional proteins and their interactive partners is required to further understand the extent of the process. The phenotypic characterization by proteomic profiling allows for a substantial in-depth analysis of the molecular machinery induced and directing the cellular changes through the process. Herein we describe the temporal analysis and quantitative profiling of neural differentiating human adipose-derived stem cells after sub-proteome enrichment using a bisindolylmaleimide chemical probe. The results show that proteins enriched by the Bis-probe were identified reproducibly with 133, 118, 126 and 89 proteins identified at timepoints 0, 1, 6 and 12, respectively. Each temporal timepoint presented several shared and unique proteins relative to neural differentiation and their interactivity. The major protein classes enriched and quantified were enzymes, structural and ribosomal proteins that are integral to differentiation pathways. There were 42 uniquely identified enzymes identified in the cells, many acting as hubs in the networks with several interactions across the network modulating key biological pathways. From the cohort, it was found by gene ontology analysis that 18 enzymes had direct involvement with neurogenic differentiation. MDPI 2020-12-26 /pmc/articles/PMC7795898/ /pubmed/33375241 http://dx.doi.org/10.3390/ijms22010160 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Santos, Jerran Dolai, Sibasish O’Rourke, Matthew B. Liu, Fei Padula, Matthew P. Molloy, Mark P. Milthorpe, Bruce K. Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title | Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title_full | Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title_fullStr | Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title_full_unstemmed | Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title_short | Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes |
title_sort | quantitative proteomic profiling of small molecule treated mesenchymal stem cells using chemical probes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795898/ https://www.ncbi.nlm.nih.gov/pubmed/33375241 http://dx.doi.org/10.3390/ijms22010160 |
work_keys_str_mv | AT santosjerran quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT dolaisibasish quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT orourkematthewb quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT liufei quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT padulamatthewp quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT molloymarkp quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes AT milthorpebrucek quantitativeproteomicprofilingofsmallmoleculetreatedmesenchymalstemcellsusingchemicalprobes |