Cargando…
Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses
Hair follicle cycling can be divided into the following three stages: anagen, catagen, and telogen. The molecular signals that orchestrate the follicular transition between phases are still unknown. To better understand the detailed protein networks controlling this process, proteomics and bioinform...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709225/ https://www.ncbi.nlm.nih.gov/pubmed/26752403 http://dx.doi.org/10.1371/journal.pone.0146791 |
_version_ | 1782409613205831680 |
---|---|
author | Wang, Lei Xu, Wenrong Cao, Lei Tian, Tian Yang, Mifang Li, Zhongming Ping, Fengfeng Fan, Weixin |
author_facet | Wang, Lei Xu, Wenrong Cao, Lei Tian, Tian Yang, Mifang Li, Zhongming Ping, Fengfeng Fan, Weixin |
author_sort | Wang, Lei |
collection | PubMed |
description | Hair follicle cycling can be divided into the following three stages: anagen, catagen, and telogen. The molecular signals that orchestrate the follicular transition between phases are still unknown. To better understand the detailed protein networks controlling this process, proteomics and bioinformatics analyses were performed to construct comparative protein profiles of mouse skin at specific time points (0, 8, and 20 days). Ninety-five differentially expressed protein spots were identified by MALDI-TOF/TOF as 44 proteins, which were found to change during hair follicle cycle transition. Proteomics analysis revealed that these changes in protein expression are involved in Ca(2+)-regulated biological processes, migration, and regulation of signal transduction, among other processes. Subsequently, three proteins were selected to validate the reliability of expression patterns using western blotting. Cluster analysis revealed three expression patterns, and each pattern correlated with specific cell processes that occur during the hair cycle. Furthermore, bioinformatics analysis indicated that the differentially expressed proteins impacted multiple biological networks, after which detailed functional analyses were performed. Taken together, the above data may provide insight into the three stages of mouse hair follicle morphogenesis and provide a solid basis for potential therapeutic molecular targets for this hair disease. |
format | Online Article Text |
id | pubmed-4709225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47092252016-01-15 Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses Wang, Lei Xu, Wenrong Cao, Lei Tian, Tian Yang, Mifang Li, Zhongming Ping, Fengfeng Fan, Weixin PLoS One Research Article Hair follicle cycling can be divided into the following three stages: anagen, catagen, and telogen. The molecular signals that orchestrate the follicular transition between phases are still unknown. To better understand the detailed protein networks controlling this process, proteomics and bioinformatics analyses were performed to construct comparative protein profiles of mouse skin at specific time points (0, 8, and 20 days). Ninety-five differentially expressed protein spots were identified by MALDI-TOF/TOF as 44 proteins, which were found to change during hair follicle cycle transition. Proteomics analysis revealed that these changes in protein expression are involved in Ca(2+)-regulated biological processes, migration, and regulation of signal transduction, among other processes. Subsequently, three proteins were selected to validate the reliability of expression patterns using western blotting. Cluster analysis revealed three expression patterns, and each pattern correlated with specific cell processes that occur during the hair cycle. Furthermore, bioinformatics analysis indicated that the differentially expressed proteins impacted multiple biological networks, after which detailed functional analyses were performed. Taken together, the above data may provide insight into the three stages of mouse hair follicle morphogenesis and provide a solid basis for potential therapeutic molecular targets for this hair disease. Public Library of Science 2016-01-11 /pmc/articles/PMC4709225/ /pubmed/26752403 http://dx.doi.org/10.1371/journal.pone.0146791 Text en © 2016 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Lei Xu, Wenrong Cao, Lei Tian, Tian Yang, Mifang Li, Zhongming Ping, Fengfeng Fan, Weixin Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title | Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title_full | Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title_fullStr | Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title_full_unstemmed | Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title_short | Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses |
title_sort | differential expression of proteins associated with the hair follicle cycle - proteomics and bioinformatics analyses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709225/ https://www.ncbi.nlm.nih.gov/pubmed/26752403 http://dx.doi.org/10.1371/journal.pone.0146791 |
work_keys_str_mv | AT wanglei differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT xuwenrong differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT caolei differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT tiantian differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT yangmifang differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT lizhongming differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT pingfengfeng differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses AT fanweixin differentialexpressionofproteinsassociatedwiththehairfolliclecycleproteomicsandbioinformaticsanalyses |