ZNF623 contributes to breast carcinoma progress by recruiting CtBP1 to regulate NF-κB pathway.

BACKGROUND: Breast cancer ranks among the most prevalent tumor types worldwide. Copy number amplification of chromosome 8q24 is frequently detected in breast cancer. ZNF623 is a relatively unexplored gene mapped to 8q24. Here, we explore the expression profile, prognostic significance, and biological action of ZNF623 in breast carcinogenesis. METHODS: To evaluate the mRNA expression pattern and prognostic relevance of ZNF623 across different cancer types, we conducted bioinformatic analyses. The expression of the gene was suppressed using ZNF623 shRNAs/siRNAs and augmented through transfection with plasmids containing ZNF623 cDNA. Cell viability assay, clonogenic assay, and transwell migration assay were utilized to assess the proliferation, viability, and invasion capacity of breast cancer cell lines. Luciferase reporter assay served as a pivotal tool to ascertain the transcriptional activity of ZNF623. IP-MS and co-IP were employed to validate that ZNF623 interacted with CtBP1. ChIP analysis and ChIP-qPCR were conducted to assess the genes targeted by ZNF623/CtBP1 complex. Flow cytometry was conducted to evaluate the phosphorylation status of p65. RESULTS: ZNF623 expression was notably elevated in breast cancer (BC). Prognostic analysis indicated higher expression of ZNF623 indicated worse survival. Functional experiments discovered that the upregulation of ZNF623 significantly enhanced both the proliferative and migratory capacities of breast cancer cells. Luciferase reporter assay indicated that ZNF623 was a transcription repressor. Immunoprecipitation coupled mass spectrometry analysis revealed a physical association between ZNF623 and CtBP1 in the interaction group. The conjoint analysis of ChIP-seq and TCGA DEG analysis revealed that the ZNF623/CtBP1 complex repressed a series of genes, such as negative regulation of the NF-kappaB signaling pathway. Flow cytometry analysis discovered that knockdown of ZNF623 decreased the phosphorylation level of p65, indicating that ZNF623 could regulate the activity of the NF-κB pathway. CONCLUSION: ZNF623 predicts poor prognosis of BC and enhances breast cancer growth and metastasis. By recruiting CtBP1, ZNF623 could suppress NF-κB inhibitors, including COMMD1, NFKBIL1, PYCARD, and BRMS1, expression from the transcription level.

DEP2: an upgraded comprehensive analysis toolkit for quantitative proteomics data.

SUMMARY: Mass spectrometry (MS)-based proteomics has become the most powerful approach to study the proteome of given biological and clinical samples. Advancements in sample preparation and MS detection have extended the application of proteomics but have also brought new demands on data analysis. Appropriate proteomics data analysis workflow mainly requires quality control, hypothesis testing, functional mining, and visualization. Although there are numerous tools for each process, an efficient and universal tandem analysis toolkit to obtain a quick overall view of various proteomics data is still urgently needed. Here, we present DEP2, an updated version of DEP we previously established, for proteomics data analysis. We amended the analysis workflow by incorporating alternative approaches to accommodate diverse proteomics data, introducing peptide-protein summarization and coupling biological function exploration. In summary, DEP2 is a well-rounded toolkit designed for protein- and peptide-level quantitative proteomics data. It features a more flexible differential analysis workflow and includes a user-friendly Shiny application to facilitate data analysis. AVAILABILITY AND IMPLEMENTATION: DEP2 is available at https://github.com/mildpiggy/DEP2, released under the MIT license. For further information and usage details, please refer to the package website at https://mildpiggy.github.io/DEP2/.