Project description:Sage performed on microdissection of Head and Neck tumor, and Head and Neck normal tissue comparative analysis of gene expression profiles of head and neck squamous cell carcinoma and Head and Neck normal tissue
Project description:Monitoring of changes in the proteomic composition of extracellular vesicles produced by head and neck squamous cell carcinoma cells after exposure to agents affecting autophagic and lysosomal processes. LC-MS analysis of phosphatidylserine-positive budding EVs.
Project description:MiRNA expression profiles were successfully examined through expression profiling of a total of 656 miRNAs between 2 head and neck squamous cell carcinoma (HNSCC) tissues (C) and their paired adjacent normal mucousal tissues (AN). In the study presented here, 2 head and neck squamous cell carcinoma (HNSCC) tissues (C) and their paired adjacent normal mucousal tissues (AN) were examined by miRNA array
Project description:Using H3K27ac ChIP-seq profile to map active enhancers in lung cancer, endometrial carcinoma and head and neck squamous cell carcinoma cells
Project description:Purpose: To build an atlas of head and neck squamous cell carcinoma (HNSCC) using single-cell RNA-sequencing (scRNA-seq) data with surface protein expression using AbSeq oligo-tagged antibodies.
Project description:Microarrays were used to examine gene expression differences between human head and neck squamous cell carcinoma cell lines (FaDu, UTSCC8, UTSCC42a) grown in culture in comparison to a normal oral epithelial cell line. Gene expression data was integrated with global protein expression of head and neck squamous cell carcinoma cell lines and conditioned media to identify secreted protein markers up-regulated at the mRNA level in cancer cells versus the normal cell line. Total RNA obtained from head and neck squamous cell carcinoma cell lines and a normal oral epithelial cell line
Project description:Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in India. Despite improvements in treatment strategy, the survival rates of HNSCC patients remains poor. Thus, it is necessary to identify biomarkers that can be used for early detection of disease. In this study, we employed iTRAQ-based quantitative mass spectrometry analysis to identify dysregulated proteins from a panel of head and neck squamous cell carcinoma (HNSCC) cell lines. We identified 2,468 proteins, of which 496 proteins were found to be dysregulated in at least two HNSCC cell lines compared to immortalized normal oral keratinocytes. We detected increased expression of replication protein A1 (RPA1) and heat shock protein family H (Hsp110) member 1 (HSPH1), in HNSCC cell lines compared to control. The differentially expressed proteins were further validated using parallel reaction monitoring (PRM) and western blot analysis in HNSCC cell lines. Immunohistochemistry-based validation using HNSCC tissue microarrays revealed overexpression of RPA1 and HSPH1 in 15.7% and 32.2% of the tested cases, respectively. Our study illustrates quantitative proteomics as a robust approach for identification of potential HNSCC biomarkers.
Project description:Transcriptional profiling was performed on biopsies from patients with head and neck squamous cell carcinoma that had been treated with cisplatin and 5-fluorouracil to identify genes predictive of response to chemotherapy