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Usage Information

NOTCH-induced aldehyde dehydrogenase 1A1 deacetylation promotes breast cancer stem cells
Di Zhao, Yan Mo, Meng-Tian Li, Shao-Wu Zou, Zhou-Li Cheng, Yi-Ping Sun, Yue Xiong, Kun-Liang Guan, Qun-Ying Lei
Di Zhao, Yan Mo, Meng-Tian Li, Shao-Wu Zou, Zhou-Li Cheng, Yi-Ping Sun, Yue Xiong, Kun-Liang Guan, Qun-Ying Lei
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Research Article Oncology

NOTCH-induced aldehyde dehydrogenase 1A1 deacetylation promotes breast cancer stem cells

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Abstract

High aldehyde dehydrogenase (ALDH) activity is a marker commonly used to isolate stem cells, particularly breast cancer stem cells (CSCs). Here, we determined that ALDH1A1 activity is inhibited by acetylation of lysine 353 (K353) and that acetyltransferase P300/CBP–associated factor (PCAF) and deacetylase sirtuin 2 (SIRT2) are responsible for regulating the acetylation state of ALDH1A1 K353. Evaluation of breast carcinoma tissues from patients revealed that cells with high ALDH1 activity have low ALDH1A1 acetylation and are capable of self-renewal. Acetylation of ALDH1A1 inhibited both the stem cell population and self-renewal properties in breast cancer. Moreover, NOTCH signaling activated ALDH1A1 through the induction of SIRT2, leading to ALDH1A1 deacetylation and enzymatic activation to promote breast CSCs. In breast cancer xenograft models, replacement of endogenous ALDH1A1 with an acetylation mimetic mutant inhibited tumorigenesis and tumor growth. Together, the results from our study reveal a function and mechanism of ALDH1A1 acetylation in regulating breast CSCs.

Authors

Di Zhao, Yan Mo, Meng-Tian Li, Shao-Wu Zou, Zhou-Li Cheng, Yi-Ping Sun, Yue Xiong, Kun-Liang Guan, Qun-Ying Lei

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 1,463 70
PDF 340 18
Figure 1,208 0
Table 249 0
Supplemental data 173 3
Citation downloads 316 0
Totals 3,749 91
Total Views 3,840
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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