Cervical Tissue Long SAGE
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE7433 | GEO | 2008/02/19
SECONDARY ACCESSION(S): PRJNA97957
REPOSITORIES: GEO
Similar Datasets
Project description:16 Long SAGE libraries Keywords: Various degrees of cervical dysplasia Normal Cervical Tissue (N1, N2, N3, N4) CIN III, severe dysplasia cervical tissue (C1, C2, C3, C4, C5, C6) CIN I, mild dysplasia, cervical tissue (M1, M2, M3) CIN II, moderate dysplasia, cervical tissue (M4, M5, M6)
2008-02-18 | E-GEOD-7433 | biostudies-arrayexpress
Project description:In this study, we sequenced 691,390 SAGE tags from four libraries. Cervical L-SAGE libraries N1, N2, C1, and C2 were sequenced to 165,624, 181,224, 173,534, and 171,008 tags, respectively. Duplicate ditags were eliminated from analysis resulting in 136,276, 139,656, 154,828 and 136,386 useful tags respectively and a total of 24 058 unique tags. 15,438 of the unique tags mapped to annotated UniGene identifiers. We characterized the transcriptome of normal cervical tissue and evaluated the highly expressed genes in terms of tissue specificity, conserved expression among the normal libraries and their altered expression in CIN III lesions. Keywords: Cervical Epithelium, Long SAGE
2008-02-19 | GSE6252 | GEO
Project description:In this study, we sequenced 691,390 SAGE tags from four libraries. Cervical L-SAGE libraries N1, N2, C1, and C2 were sequenced to 165,624, 181,224, 173,534, and 171,008 tags, respectively. Duplicate ditags were eliminated from analysis resulting in 136,276, 139,656, 154,828 and 136,386 useful tags respectively and a total of 24 058 unique tags. 15,438 of the unique tags mapped to annotated UniGene identifiers. We characterized the transcriptome of normal cervical tissue and evaluated the highly expressed genes in terms of tissue specificity, conserved expression among the normal libraries and their altered expression in CIN III lesions. Keywords: Cervical Epithelium, Long SAGE Four Long SAGE libraries were created from cervical epithelium biopsies. Two were CIN III and two were normal cervical tissue.
2008-02-18 | E-GEOD-6252 | biostudies-arrayexpress
Project description:Human primary gastric cancer tissue SAGE libraries. Profile of the genes expressed in well and poorly differentiated gastric cancer, early and advanced gastric cancer, scirrhous type gastric cancer, and lymph node metastasis determined through SAGE. Keywords = gastric cancer, histology, early gastric cancer, advanced gastric cancer, lymph node metastasis, scirrhous type gastric cancer Keywords: other
2003-07-21 | GSE545 | GEO
Project description:Human retinal and RPE SAGE libraries. Profile of the genes expressed in the human peripheral retina, macula, and retinal pigment epithelium determined through serial analysis of gene expression (SAGE). Keywords: other
2001-10-03 | GSE10 | GEO
Project description:These two 3' Long SAGE libraries were constructed from stage 1-3 or stage 2-3 Bombyx egg chambers. Keywords: 3' Long SAGE libraries
2006-11-01 | GSE5830 | GEO
Project description:The SAGE libraries were built from total mRNA populations in specific tissues, cells, mutation-specific populations, and all developmental stages of C. elegans. Tissue- and cell-specific libraries were generated from FACS-sorted cells marked by expression of specific promoter::GFP fusions Keywords = SAGE Keywords = LongSAGE Keywords = Caenorhabditis elegans Keywords = development Keywords = dauer Keywords: other
2004-06-11 | GSE1447 | GEO
Project description:We present a powerful application of ultra high-throughput sequencing, SAGE-Seq, for the accurate quantification of normal and neoplastic mammary epithelial cell transcriptomes. We develop data analysis pipelines that allow the mapping of sense and antisense strands of mitochondrial and RefSeq genes, the normalization between libraries, and the identification of differentially expressed genes. We find that the diversity of cancer transcriptomes is significantly higher than that of normal cells. Our analysis indicates that transcript discovery plateaus at 10 million reads/sample, and suggests a minimum desired sequencing depth around 5 million reads. Comparison of SAGE-Seq and traditional SAGE on normal and cancerous breast tissues reveals higher sensitivity of SAGE-Seq to detect less abundant genes including those encoding for known breast cancer-related transcription factors and G protein-coupled receptors (GPCRs). SAGE-Seq is able to identify genes and pathways abnormally activated in breast cancer that traditional SAGE failed to call. SAGE-Seq is a powerful method for the identification of biomarkers and therapeutic targets in human disease.
2010-10-05 | GSE24491 | GEO