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Deep proteome profiling of human mammary epithelia at lineage and age resolution
Age is the major risk factor in most carcinomas, yet little is known about how proteomes change with age in any human epithelium. We present comprehensive proteomes comprised of >9,000 total proteins and >15,000 phosphopeptides from normal primary human mammary epithelia at lineage resolution...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426267/ https://www.ncbi.nlm.nih.gov/pubmed/34522866 http://dx.doi.org/10.1016/j.isci.2021.103026 |
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author | Hinz, Stefan Manousopoulou, Antigoni Miyano, Masaru Sayaman, Rosalyn W. Aguilera, Kristina Y. Todhunter, Michael E. Lopez, Jennifer C. Sohn, Lydia L. Wang, Leo D. LaBarge, Mark A. |
author_facet | Hinz, Stefan Manousopoulou, Antigoni Miyano, Masaru Sayaman, Rosalyn W. Aguilera, Kristina Y. Todhunter, Michael E. Lopez, Jennifer C. Sohn, Lydia L. Wang, Leo D. LaBarge, Mark A. |
author_sort | Hinz, Stefan |
collection | PubMed |
description | Age is the major risk factor in most carcinomas, yet little is known about how proteomes change with age in any human epithelium. We present comprehensive proteomes comprised of >9,000 total proteins and >15,000 phosphopeptides from normal primary human mammary epithelia at lineage resolution from ten women ranging in age from 19 to 68 years. Data were quality controlled and results were biologically validated with cell-based assays. Age-dependent protein signatures were identified using differential expression analyses and weighted protein co-expression network analyses. Upregulation of basal markers in luminal cells, including KRT14 and AXL, were a prominent consequence of aging. PEAK1 was identified as an age-dependent signaling kinase in luminal cells, which revealed a potential age-dependent vulnerability for targeted ablation. Correlation analyses between transcriptome and proteome revealed age-associated loss of proteostasis regulation. Age-dependent proteome changes in the breast epithelium identified heretofore unknown potential therapeutic targets for reducing breast cancer susceptibility. |
format | Online Article Text |
id | pubmed-8426267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84262672021-09-13 Deep proteome profiling of human mammary epithelia at lineage and age resolution Hinz, Stefan Manousopoulou, Antigoni Miyano, Masaru Sayaman, Rosalyn W. Aguilera, Kristina Y. Todhunter, Michael E. Lopez, Jennifer C. Sohn, Lydia L. Wang, Leo D. LaBarge, Mark A. iScience Article Age is the major risk factor in most carcinomas, yet little is known about how proteomes change with age in any human epithelium. We present comprehensive proteomes comprised of >9,000 total proteins and >15,000 phosphopeptides from normal primary human mammary epithelia at lineage resolution from ten women ranging in age from 19 to 68 years. Data were quality controlled and results were biologically validated with cell-based assays. Age-dependent protein signatures were identified using differential expression analyses and weighted protein co-expression network analyses. Upregulation of basal markers in luminal cells, including KRT14 and AXL, were a prominent consequence of aging. PEAK1 was identified as an age-dependent signaling kinase in luminal cells, which revealed a potential age-dependent vulnerability for targeted ablation. Correlation analyses between transcriptome and proteome revealed age-associated loss of proteostasis regulation. Age-dependent proteome changes in the breast epithelium identified heretofore unknown potential therapeutic targets for reducing breast cancer susceptibility. Elsevier 2021-08-23 /pmc/articles/PMC8426267/ /pubmed/34522866 http://dx.doi.org/10.1016/j.isci.2021.103026 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Hinz, Stefan Manousopoulou, Antigoni Miyano, Masaru Sayaman, Rosalyn W. Aguilera, Kristina Y. Todhunter, Michael E. Lopez, Jennifer C. Sohn, Lydia L. Wang, Leo D. LaBarge, Mark A. Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title | Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title_full | Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title_fullStr | Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title_full_unstemmed | Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title_short | Deep proteome profiling of human mammary epithelia at lineage and age resolution |
title_sort | deep proteome profiling of human mammary epithelia at lineage and age resolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426267/ https://www.ncbi.nlm.nih.gov/pubmed/34522866 http://dx.doi.org/10.1016/j.isci.2021.103026 |
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