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1.
Biochim Biophys Acta Gen Subj ; 1868(5): 130596, 2024 May.
Article in English | MEDLINE | ID: mdl-38471632

ABSTRACT

BACKGROUND: Clear cell Renal Cell Carcinoma (ccRCC) is the frequently diagnosed histological life-threatening tumor subtype in the urinary system. Integrating multi-omics data is emerging as a tool to provide a comprehensive view of biology and disease for better therapeutic interventions. METHOD: We have integrated freely available ccRCC data sets of genome-wide DNA methylome, transcriptome, and active histone modification marks, H3K27ac, H3K4me1, and H3K4me3 specific ChIP-seq data to screen genes with higher expression. Further, these genes were filtered based on their effect on survival upon alteration in expression. RESULTS: The six multi-omics-based identified genes, RUNX1, MSC, ADA, TREML1, TGFA, and VWF, showed higher expression with enrichment of active histone marks and hypomethylated CpG in ccRCC. In continuation, the identified genes were validated by an independent dataset and showed a correlation with nodal and metastatic status. Furthermore, gene ontology and pathway analysis revealed that immune-related pathways are activated in ccRCC patients. CONCLUSIONS: The network analysis of six overexpressed genes suggests their potential role in an immunosuppressive environment, leading to tumor progression and poor prognosis. Our study shows that the multi-omics approach helps unravel complex biology for patient subtyping and proposes combination strategies with epi-drugs for more precise immunotherapy in ccRCC.


Subject(s)
Carcinoma, Renal Cell , Kidney Neoplasms , Humans , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/pathology , Kidney Neoplasms/genetics , Kidney Neoplasms/pathology , Epigenome , Gene Expression Profiling , Transcriptome/genetics , Tumor Microenvironment/genetics , Receptors, Immunologic/genetics
2.
ACS Omega ; 8(6): 5522-5532, 2023 Feb 14.
Article in English | MEDLINE | ID: mdl-36816694

ABSTRACT

Recapitulating radioresistant cell features in pertinent cell line models is essential for deciphering fundamental cellular mechanisms. The limited understanding of passage and cell cycle phases on radioresistant cells revived post-cryopreservation led us to investigate the effect of sub-culturing in parental and radioresistant MCF-7 cells. In this study, the radioresistant cells showed high-intensity nucleic acid and cytochrome bands, which are potentially a radiation-induced spectral marker. Raman spectroscopy data showed dynamic biochemical alterations in revived radioresistant G2/M synchronized cells at early cell passages 1 and 3 with stabilization at a latter cell passage, 5. The study highlights the importance of cell passaging and cell cycle phases in potentially changing the biochemical parameters during in vitro experiments after the revival of radioresistant cells post-cryopreservation.

3.
Mol Biol Rep ; 48(12): 7967-7974, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34657252

ABSTRACT

BACKGROUND: Reference genes are considered stable genes and are used for normalizing the gene expression profile across different cell types; as well as, in normal and diseased samples. However, these gene associates with different biological processes, and hence expression vary in different pathological conditions. Therefore, in the present study, eight different reference genes were used and compared to identify common reference gene usable for an array of different cell types and human cancers. METHODS AND RESULTS: The expression stability of the eight reference genes across eleven normal and cancerous tissues was confirmed through real time-qPCR. Ribosomal protein S13 (RPS13) was found to be a common and stable reference gene across intra- and inter-comparison between various normal and tumor tissue types. Further, TCGA data analysis across and between normal and tumor tissue types also showed minimum deviation in expression of RPS13 gene out of eight routinely used reference genes. CONCLUSION: RPS13 is the common stable reference gene in normalization for gene expression based analysis in cancer research.


Subject(s)
Gene Expression Profiling/standards , Neoplasms/genetics , Ribosomal Proteins/genetics , Databases, Genetic , Gene Expression/genetics , Gene Expression Profiling/methods , Humans , Neoplasms/diagnosis , Real-Time Polymerase Chain Reaction/methods , Reference Standards , Ribosomal Proteins/metabolism , Transcriptome/genetics
4.
Biochim Biophys Acta Gene Regul Mech ; 1864(4-5): 194703, 2021.
Article in English | MEDLINE | ID: mdl-33727172

ABSTRACT

Incorporation of different H3 histone isoforms/variants have been reported to differentially regulate gene expression via alteration in chromatin organization during diverse cellular processes. However, the differential expression of highly conserved histone H3.2 genes, H3C14 and H3C13 in human cancer has not been delineated. In this study, we investigated the expression of H3.2 genes in primary human gastric, brain, breast, colon, liver, and head and neck cancer tissues and tumor cell lines. The data showed overexpression of H3.2 transcripts in tumor samples and cell lines with respect to normal counterparts. Furthermore, TCGA data of individual and TCGA PANCAN cohort also showed significant up-regulation of H3.2 genes. Further, overexpressed H3C14 gene coding for H3.2 protein was regulated by FOXC1 transcription factor and G4-cassette in gastric cancer cell lines. Elevated expression of FOXC1 protein and transcripts were also observed in human gastric cancer samples and cell lines. Further, FOXC1 protein was predominantly localized in the nuclei of neoplastic gastric cells compared to normal counterpart. In continuation, studies with EGF induction, FOXC1 knockdown, and ChIP-qPCR for the first time identified a novel axis, EGFR-FOXC1-H3C14 for regulation of H3C14 gene overexpression in gastric cancer. Therefore, the changes the epigenomic landscape due to incorporation of differential expression H3 variant contributes to change in gene expression pattern and thereby contributing to pathogenesis of cancer.


Subject(s)
Forkhead Transcription Factors/metabolism , Gene Expression Regulation, Neoplastic , Histones/biosynthesis , Neoplasm Proteins/metabolism , Signal Transduction , Stomach Neoplasms/metabolism , ErbB Receptors/genetics , ErbB Receptors/metabolism , Forkhead Transcription Factors/genetics , Hep G2 Cells , Humans , MCF-7 Cells , Neoplasm Proteins/genetics , Stomach Neoplasms/genetics , Stomach Neoplasms/pathology , U937 Cells
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