Ontology highlight
ABSTRACT:
PROVIDER: PRJNA109755 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:transcription profiling of human head and neck squamous cell carcinoma (HNSCC) samples vs. normal tonsil samples using a two-color reference design experimental setting. Used to identify differentially expressed genes in tumor/normal samples, and compare the result to that of the same samples using the self-self hybridization experimental setting. Keywords: tumor/normal comparison
2009-01-22 | GSE13398 | GEO
Project description:transcription profiling of human head and neck squamous cell carcinoma (HNSCC) samples vs. normal tonsil samples using a self-self hybridization experimental design on two-color arrays. Used to identify differentially expressed genes in tumor/normal samples, and compare the result to that of the same samples using the reference design experimental setting. Keywords: tumor/normal comparison
2009-01-22 | GSE13397 | GEO
Project description:transcription profiling of human head and neck squamous cell carcinoma (HNSCC) samples vs. normal tonsil samples using a two-color reference design experimental setting. Used to identify differentially expressed genes in tumor/normal samples, and compare the result to that of the same samples using the self-self hybridization experimental setting. Keywords: tumor/normal comparison 8 HNSCC tumor samples and 8 normal tonsil samples. One sample per array. Two-color reference design with a common reference sample (a modified version of the Stratagene Human Universal Reference) on each array.
2010-05-06 | E-GEOD-13398 | biostudies-arrayexpress
Project description:transcription profiling of human head and neck squamous cell carcinoma (HNSCC) samples vs. normal tonsil samples using a self-self hybridization experimental design on two-color arrays. Used to identify differentially expressed genes in tumor/normal samples, and compare the result to that of the same samples using the reference design experimental setting. Keywords: tumor/normal comparison 8 HNSCC tumor samples and 8 normal tonsil samples. Each was profiled using a self-self hybridization design, where two aliquots of the same sample were labeled with two different dyes (cy3 and cy5) and hybridize to the same array.
2010-05-06 | E-GEOD-13397 | biostudies-arrayexpress
Project description:Profiling the genome-wide methylation status of head and neck squamous cell carcinoma and normal subjects Screening HNSCC-related candidate methylation gene by comparison of HNSCC tissues vs normal subjects.
2014-06-19 | E-GEOD-58630 | biostudies-arrayexpress
Project description:Gene expression analysis of a unique HNSCC (Head and Neck Squamous Cell Carcinoma) localization, the hypopharynx. Four normal and 34 tumor samples were analysed using Affymetrix HG-U95A microarrays containing probe sets representing ~12650 distinct transcription features. Keywords = HNSCC Hypopharynx Keywords: ordered
2005-03-09 | GSE2379 | GEO
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
2011-09-14 | E-GEOD-32115 | biostudies-arrayexpress
Project description:Head and neck cancer (HNC) is the fifth most common malignancy worldwide with an annual mortality rate of 200,000. About 90% of HNC can be classified as head and neck squamous cell carcinomas (HNSCC), of which approximately 75% are attributed to alcohol and tobacco consumption and 25 are associated with human papillomavirus (HPV), predominantly HPV16. HPV-associated OPC have better prognosis and a more favorable response to therapy as compared to HPV-negative tumors. Differences in risk factors, age of presentation, clinical behavior and gene expression profiles indicate that HPV-positive and HPV-negative tumors develop via different molecular mechanisms and are biologically distinct. This study aimed to compare the gene expression profiles of HPV-negative oropharyngeal squamous cell carcinoma (OPC) and normal benign uvula/tonsil tissues and determine what biological processes and pathways are affected in HPV-negative OPCs. ANALYSIS 6: Two-condition, one-color experiment: HPV-negative oropharyngeal tumor samples and normal benign uvula/tonsil tissues. Biological replicates: 16 HPV negtive samples and 4 Normal samples.
2014-03-05 | E-GEOD-55547 | biostudies-arrayexpress
Project description:Gene expression analysis of a unique HNSCC (Head and Neck Squamous Cell Carcinoma) localization, the hypopharynx. Four normal and 34 tumor samples were analysed using Affymetrix HG-U95A microarrays containing probe sets representing ~12650 distinct transcription features.
2007-08-25 | E-GEOD-2379 | biostudies-arrayexpress
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.
2018-09-19 | PXD009241 | Pride