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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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