ArticleiScience2021
Deep proteome profiling of human mammary epithelia at lineage and age resolution.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells.EBioMedicine · 2026Article
- CD105Breast cancer research : BCR · 2025Article
- Methylome-proteome integration after late-life voluntary exercise training reveals regulation and target information for improved skeletal muscle health.The Journal of physiology · 2025Article
- Breast organoid suspension cultures maintain long-term estrogen receptor expression and responsiveness.NPJ breast cancer · 2024Article
- Organoid Cultures for the Study of Mammary Biology and Breast Cancer: The Promise and Challenges.Cold Spring Harbor perspectives in medicine · 2024Review
- Breast organoid suspension cultures maintain long-term estrogen receptor expression and responsiveness.Research square · 2024Article
- Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins.STAR protocols · 2022Article
- Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.