Differential profiles of HDAC1 substrates and associated proteins in breast cancer cells revealed by trapping

Proteomics-based trapping with single or multiple inactive mutants reproducibly profiles histone deacetylase 1 substrates

Histone deacetylase 1 (HDAC1) plays a key role in diverse cellular processes. With the aberrant expression of HDAC1 linked to many diseases, including cancers, HDAC inhibitors have been used successfully as therapeutics. HDAC1 has been predominantly associated with histone deacetylation and gene expression. Recently, non-histone substrates have revealed diverse roles of HDAC1 beyond epigenetics. To augment discovery of non-histone substrates, we introduced "substrate trapping" to enrich HDAC1 substrates using an inactive mutant. Herein, we performed a series of proteomics studies to test the robustness of HDAC1 substrate trapping. Based on our recent results documenting that different HDAC1 mutants preferentially bound different substrates, which suggested that multiple mutants could be used for efficient trapping, trapping with three single point mutants simultaneously identified several potential substrates uniquely compared to a single mutant alone. However, a greater number of biologically interesting hits were observed using only a single mutant, which suggests that the C151A HDAC1 mutant is the optimal trap. Importantly, comparing independent trials with a single mutant performed by different experimentalists and HEK293 cell populations, trapping was robust and reproducible. Based on the reproducible trapping data, carnosine N-methyltransferase 1 (CARNMT1) was validated as an HDAC1 substrate. The data document that mutant trapping is an effective method for discovery of unanticipated HDAC substrates. SIGNIFICANCE: Histone deacetylase (HDAC) proteins are well established epigenetic transcriptional regulators that deacetylate histone substrates to control gene expression. More recently, deacetylation of non-histone substrates has linked HDAC activity to functions outside of epigenetics. Given the use of HDAC inhibitor drugs as anti-cancer therapeutics, understanding the full functions of HDAC proteins in cell biology is essential to future drug design. To discover unanticipated non-histone substrates and further characterize HDAC functions, inactive mutants have been used to "trap" putative substrates, which were identified with mass spectrometry-based proteomics analysis. Here multiple trapping studies were performed to test the robustness of using inactive mutants and proteomics for HDAC substrate discovery. The data confirm the value of trapping mutants as effective tools to discover HDAC substrates and link HDAC activity to unexpected biological functions.

Histone Deacetylase 1 Expression and Regulatory Network in Lung Adenocarcinoma Based on Data Mining and Implications for Targeted Treatment

Background and Aims

Histone deacetylase 1 (HDAC1) codes a protein that is a component of the histone deacetylase complex. The abnormal expression of HDAC1 is strongly correlated with cell proliferation, differentiation, transcription, and translation. Through continuous screening of genes associated with changes in lung adenocarcinoma (LUAD), gene networks are formed to explore tumor pathogenesis and new therapeutic targets.

Methods

We evaluated HDAC1 gene survival analysis and its expression of LUAD using relevant websites and databases (TCGA and GEO databases). Through data mining, we determined the frequency and type of HDAC1 mutation, obtained the relevant heat map of the gene interaction network, completed the analysis of gene ontology and function enrichment, and understood the pharmaceutic of HDAC1.

Results

We found that HDAC1 expression was associated with the prognosis of patients with LUAD. In gene expression analysis, HDAC1 was highly expressed in LUAD, and the HDAC1 interaction gene network (MARCKSL, eIF3I) was closely related to cellular gene expression. Functional network analysis shows that the expression of HDAC1 is related to the monitoring point of the G1-S phase of the cell cycle and the activation of the Notch signaling pathway (CSL transcription factor), which is involved in the process of cell proliferation and differentiation and gene expression associated with new therapeutic targets.

Conclusion

Our data revealed the expression and potential regulatory factors of HDAC1 in LUAD of data mining, which laid a foundation for the study of the occurrence, development, and treatment of HDAC1 in LUAD.

A quantitative structural analysis of AR-42 derivatives as HDAC1 inhibitors for the identification of promising structural contributors

Alteration and abnormal epigenetic mechanisms can lead to the aberration of normal biological functions and the occurrence of several diseases. The histone deacetylase (HDAC) family of enzymes is one of the prime regulators of epigenetic functions modifying the histone proteins, and thus, regulating epigenetics directly. HDAC1 is one of those HDACs which have important contributions to cellular epigenetics. The abnormality of HDAC is correlated to the occurrence, progression, and poor prognosis in several disease conditions namely neurodegenerative disorders, cancer cell proliferation, metastasis, chemotherapy resistance, and survival in various cancers. Therefore, the progress of potent and effective HDAC1 inhibitors is one of the prime approaches to combat such diseases. In this study, both regression and classification-based molecular modelling studies were conducted on some AR-42 derivatives as HDAC1 inhibitors to elucidate the crucial structural aspects that are responsible for regulating their biological responses. This study revealed that the molecular polarizability, van der Waals volume, the presence of aromatic rings as well as the higher number of hydrogen bond acceptors might affect prominently their inhibitory activity and might be responsible for proper fitting and interactions at the HDAC1 active site to pertain effective inhibition.

Comprehensive analysis of histone deacetylases genes in the prognosis and immune infiltration of glioma patients

The occurrence and development of tumors are closely related to histone deacetylases (HDACs). However, their relationship with the overall biology and prognosis of glioma is still unknown. In the present study, we developed and validated a prognostic model for glioma based on HDAC genes. Glioma patients can be divided into two subclasses based on eleven HDAC genes, and patients from the two subclasses had markedly different survival outcomes. Then, using six HDAC genes (HDAC1, HDAC3, HDAC4, HDAC5, HDAC7, and HDAC9), we established a prognostic model for glioma patients, and this prognostic model was validated in an independent cohort. Furthermore, the calculated risk score from six HDACA genes expression was found to be an independent prognostic factor that could predict the five-year overall survival of glioma patients well. High-risk patients have changes in multiple complex functions and molecular signaling pathways, and the gene alterations of high- and low-risk patients were significantly different. We also found that the different survival outcomes of high- and low-risk patients could be related to the differences in immune filtration levels and the tumor microenvironment. Subsequently, we identified several small molecular compounds that could be favorable for glioma patient treatment. Finally, the expression levels of HDAC genes from the prognostic model were validated in glioma and nontumor tissue samples. Our results revealed the clinical utility and potential molecular mechanisms of HDAC genes in glioma. A model based on six HDAC genes can predict the overall survival of glioma patients well, and these genes are potential therapeutic targets.

HDAC6 Substrate Discovery Using Proteomics-Based Substrate Trapping: HDAC6 Deacetylates PRMT5 to Influence Methyltransferase Activity

Histone deacetylase 6 (HDAC6) is upregulated in a variety of tumor cell lines and has been linked to many cellular processes, such as cell signaling, protein degradation, cell survival, and cell motility. HDAC6 is an enzyme that deacetylates the acetyllysine residues of protein substrates, and the discovery of HDAC6 substrates, including tubulin, has revealed many roles of HDAC6 in cell biology. Unfortunately, among the wide variety of acetylated proteins in the cell, only a few are verified as HDAC6 substrates, which limits the full characterization of HDAC6 cellular functions. Substrate trapping mutants were recently established as a tool to discover unanticipated substrates of histone deacetylase 1 (HDAC1). In this study, we applied the trapping approach to identify potential HDAC6 substrates. Among the high confidence protein hits after trapping, protein arginine methyl transferase 5 (PRMT5) was successfully validated as a novel HDAC6 substrate. PRMT5 acetylation enhanced its methyltransferase activity and symmetrical dimethylation of downstream substrates, revealing possible crosstalk between acetylation and methylation. Substrate trapping represents a powerful, systematic, and unbiased approach to discover substrates of HDAC6.