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Usage Information

Nonredundant, isoform-specific roles of HDAC1 in glioma stem cells
Costanza Lo Cascio, James B. McNamara, Ernesto L. Melendez, Erika M. Lewis, Matthew E. Dufault, Nader Sanai, Christopher L. Plaisier, Shwetal Mehta
Costanza Lo Cascio, James B. McNamara, Ernesto L. Melendez, Erika M. Lewis, Matthew E. Dufault, Nader Sanai, Christopher L. Plaisier, Shwetal Mehta
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Research Article Oncology Stem cells

Nonredundant, isoform-specific roles of HDAC1 in glioma stem cells

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Abstract

Glioblastoma (GBM) is characterized by an aberrant yet druggable epigenetic landscape. One major family of epigenetic regulators, the histone deacetylases (HDACs), are considered promising therapeutic targets for GBM due to their repressive influences on transcription. Although HDACs share redundant functions and common substrates, the unique isoform-specific roles of different HDACs in GBM remain unclear. In neural stem cells, HDAC2 is the indispensable deacetylase to ensure normal brain development and survival in the absence of HDAC1. Surprisingly, we find that HDAC1 is the essential class I deacetylase in glioma stem cells, and its loss is not compensated for by HDAC2. Using cell-based and biochemical assays, transcriptomic analyses, and patient-derived xenograft models, we find that knockdown of HDAC1 alone has profound effects on the glioma stem cell phenotype in a p53-dependent manner. We demonstrate marked suppression in tumor growth upon targeting of HDAC1 and identify compensatory pathways that provide insights into combination therapies for GBM. Our study highlights the importance of HDAC1 in GBM and the need to develop isoform-specific drugs.

Authors

Costanza Lo Cascio, James B. McNamara, Ernesto L. Melendez, Erika M. Lewis, Matthew E. Dufault, Nader Sanai, Christopher L. Plaisier, Shwetal Mehta

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 877 174
PDF 150 42
Figure 421 2
Supplemental data 87 7
Citation downloads 148 0
Totals 1,683 225
Total Views 1,908
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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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