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GSE19251
Mus musculus
2 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
High dietary fat intake is a major risk factor for the development of obesity, which is frequently associated with diabetes. To identify genes involved in diabetic nephropathy, GeneChip Expression Analysis was employed to survey the glomerular gene expression profile in diabetic KK/Ta mice fed with a high-fat diet (HFD).
Publication Title
Mindin: a novel marker for podocyte injury in diabetic nephropathy.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens, Trypanosoma cruzi
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
As Trypanosoma cruzi, the etiological agent of Chagas disease, multiplies in the cytoplasm of nucleated host cells, infection with this parasite is highly likely to affect host cells. We performed an exhaustive transcriptome analysis of T. cruzi-infected HeLa cells using an oligonucleotide microarray containing probes for greater than 47,000 human gene transcripts. In comparison with uninfected cells, those infected with T. cruzi showed greater than threefold up-regulation of 41 genes and greater than threefold down-regulation of 23 genes. Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) of selected, differentially expressed genes confirmed the microarray data. Many of these up- and down-regulated genes were related to cellular proliferation, including seven up-regulated genes encoding proliferation inhibitors and three down-regulated genes encoding proliferation promoters, strongly suggesting that T. cruzi infection inhibits host cell proliferation, which may allow more time for T. cruzi to replicate and produce its intracellular nests. These findings provide new insight into the molecular mechanisms by which intracellular T. cruzi infection influences the host cell, leading to pathogenicity.
Publication Title
Transcriptome profile of Trypanosoma cruzi-infected cells: simultaneous up- and down-regulation of proliferation inhibitors and promoters.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 112 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification of NUCKS1 as a colorectal cancer prognostic marker through integrated expression and copy number analysis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 125 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus, Homo sapiens
- 261 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 257 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
BACKGROUND & AIMS: Metabolic syndrome is a newly identified risk factor for hepatocellular carcinoma (HCC), however the molecular mechanisms still remain unclear. To elucidate this issue, cross-species analysis was performed to compare gene expression patterns of HCC from human patients and melanocortin 4 receptor-knockout (MC4R-KO) mice, developing HCC with obesity, insulin resistance and dyslipidemia. METHODS: Unsupervised hierarchical clustering and principle component analysis of 746 differentially expressed orthologous genes classified HCC of 152 human patients and MC4R-KO mice into two distinct subgroups, one of which included all the mouse HCC was etiologically associated with metabolic risk factors, such as obesity and diabetes. A specific biomarker was identified by the integrative analysis, and validated with in vitro studies and other cohort patients. RESULTS: As commonly overexpressed in human and mouse metabolic disease-associated HCC, FABP4 was remarkably enriched in intratumoral activated hepatic stellate cells (HSCs). Then, we established subclones constitutively expressing FABP4 from a human HSC cell line, in which the expression levels of inflammatory chemokines including IL1A and IL6 was upregulated through NF-B nuclear translocation. An immunohistochemical validation study of other 106 human HCC samples indicated that FABP4-positive HSCs were distributed in tumors of 38 cases, and that the FABP4-high group was composed of patients with non-viral and non-alcoholic HCC (P=0.027) and with multiple metabolic risk factors (P<0.001) compared with the FABP4-low. CONCLUSIONS: FABP4 overexpression in HSCs could contribute to hepatocellular carcinogenesis in patients with metabolic risk factors via modulation of inflammatory pathway, and is a promising novel biomarker as well as a potential therapeutic target for this subtype of HCC.
Publication Title
Fatty Acid Binding Protein 4 (FABP4) Overexpression in Intratumoral Hepatic Stellate Cells within Hepatocellular Carcinoma with Metabolic Risk Factors.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 148 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Methods: The expression profiles of cancer cells in 152 patients with stage I-III CRC were examined using microarray analysis. High expression in CRC cells, especially in patients with distant recurrences, was a prerequisite to select candidate genes. Thus, we identified eleven candidate genes, and selected Traf2- and Nck-interacting kinase (TNIK), which was known to be associated with progression in CRC through Wnt signaling pathways. We analyzed the protein expression of TNIK using immunohistochemistry (IHC) and investigated the relationship between protein expression and patient characteristics in 220 stage I-III CRC patients. Results: Relapse-free survival was significantly worse in the TNIK high expression group than in the TNIK low expression group in stage II (p = 0.028) and stage III (p = 0.006) patients. In multivariate analysis, high TNIK expression was identified as a significant independent risk factor of distant recurrence in stage III patients. Conclusion: This study is the first to demonstrate the prognostic significance of intratumoral TNIK protein expression in clinical tissue samples of CRC, in that high expression of TNIK protein in primary tumors was associated with distant recurrence in stage II and III CRC patients. This TNIK IHC study might contribute to practical decision-making in the treatment of these patients.
Publication Title
Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 146 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC).
Publication Title
Clinical significance of osteoprotegerin expression in human colorectal cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 125 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Introduction: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Experimental design: The expression profiles of cancer cells in 153 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells, especially in patients with distant metastases, was a prerequisite to select candidate genes. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study and investigated the relationship between protein expression and clinicopathologic features in 271 CRC patients. Results: Using microarray analysis, we identified 11 candidate genes related to distant metastases in CRC patients. Among these genes, Traf2- and Nck- interacting kinase (TNIK) was known to be associated with aggressiveness in CRC through Wnt signaling. Absence of overexpression of TNIK protein was associated with significantly better overall survival (p < 0.001) and relapse-free survival (p < 0.001). Moreover, overexpression of TNIK protein was an independent risk factor for CRC recurrence (p = 0.009). Conclusion: Overexpression of TNIK might be a predictive biomarker of CRC recurrence.
Publication Title
Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 112 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Purpose: The purpose of this study is to identify a novel biomarker related with distant metastases of colorectal cancer (CRC).
Publication Title
Identification of NUCKS1 as a colorectal cancer prognostic marker through integrated expression and copy number analysis.
Sample Metadata Fields
Specimen part
View Samples