Project description:Whole transcriptome expression levels of healthy colonic, colorectal adenoma and colorectal cancer biopsy samples were analyzed by HTA 2.0 microarrays
Project description:We analyzed, by HTA 2.0, colorectal adenocarcinoma samples and matched normal colonic tissues in order to determine the whole transcriptome expression levels. Three widely used colorectal cancer cell lines were also analyzed. Results provided insights into the regulation, at transcript level, of genes involved in copper homeostasis.
Project description:We analyzed, by HTA 2.0, colorectal adenocarcinoma samples and matched normal colonic tissues in order to determine the whole transcriptome expression levels. Three widely used colorectal cancer cell lines were also analyzed. Results provided insights into the regulation, at transcript level, of genes involved in copper homeostasis.
Project description:We employed the GeneChip Human Transcriptome Array 2.0 (HTA 2.0) for the global gene analysis with hiPSCs from DS and healthy individuals. Examining differentially expressed genes (DEGs) in these groups and focusing on specific transcripts with Alternative Splicing.
Project description:There is still a big debate about the correlation between melanosis coli (MC) and carcinoma. We used HTA2.0 to investigate the expression changes of lncRNAs and mRNAs in human colonic mucosa with or without MC and try to investigate MC from gene aspect, eventually to demonstrate whether there’s a certain correlation between MC and carcinoma. GeneChip® Human Transcriptome Array 2.0 (HTA 2.0) microarrays were adopted. The expression profile of lncRNAs and mRNA were tested in five colon tissue biopsy specimen of MC patients and five demographically-matched controls.
Project description:Whole genomic microarray analysis was performed in order to identify gene expression profile alterations focusing on the dysplastic adenoma-carcinoma transition. Our aims were to determinate characteristic transcript sets for developing diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set. Total RNA was extracted from colonic biopsy samples of histologically negative patients and of patients with adenoma or colorectal cancer and were hybridized on Affymetrix HGU133 Plus 2.0 microarrays
Project description:Defining molecular features that can predict the response to chemotherapy for stage II-III colorectal cancer (CRC) patients remains challenging in cancer research. Most available clinical samples are Formalin-Fixed and Paraffin-Embedded (FFPE). Affymetrix GeneChip® Human Transcriptome Array 2.0 (HTA) is one platform marketed for high-throughput gene expression profiling for FFPE tissue samples. In this study, we analyzed the whole transcriptom gene expression of 156 CRC patient samples measured by this platform to identify biomarkers predicting the response to chemotherapy for stage II-III CRC patients.
Project description:Affymetrix human whole transcriptome array (HTA 2.0) completed on patients with Crohn's disease undergoing their first ileocolic resection
Project description:Defining molecular features that can predict the recurrence of colorectal cancer (CRC) for stage II-III patients remains challenging in cancer research. Most available clinical samples are Formalin-Fixed and Paraffin-Embedded (FFPE). NanoString nCounter® and Affymetrix GeneChip® Human Transcriptome Array 2.0 (HTA) are the two platforms marketed for high-throughput gene expression profiling for FFPE tissue samples. In this study, to identify an optimal platform for the gene expression profiling of FFPE CRC samples, we evaluated the expression of 516 genes from published frozen tissue-derived prognostic signatures in 42 CRC patient samples measured by these two platforms. Based on HTA platform-derived data, we identified both gene (99 individual genes, FDR < 0.05) and gene set (four of the six reported multi-gene signatures with sufficient information for evaluation, P < 0.05) expression differences associated with survival outcomes. Using nCounter platform-derived data, only one of the six multi-gene signatures (P < 0.05) but no individual gene was associated with survival outcomes. Therefore, the HTA appears to provide a more robust gene expression dataset using genes from published gene signatures. Our study indicated that sufficiently high quality RNA could be obtained from FFPE tumor tissues to detect frozen tissue-derived prognostic gene expression signatures for CRC patients.
