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Homo sapiens
3 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We previously reported that human T cell lymphotropic virus 1 (HTLV-1) Tax oncoprotein constitutively activates TAK1. Here, we established Tax-positive HuT-102 cells stably downregulated TAK1 expression by short-hairpin RNA (HuT-shTAK1 cells), and investigated the physiological function of TAK1. Microarray analysis demonstrated that several interferon (IFN)-inducible genes including chemokines such as CXCL10 and CCL5 were significantly downregulated in HuT-shTAK1 cells. In contrast, Tax-mediated constitutive activation of NF-kB was intact in HuT-shTAK1 cells. IRF3, a critical transcription factor in innate immunity to viral infection, was constitutively activated in a Tax-dependent manner. Activation of IRF3 and IRF3-dependent gene expression were dependent on TAK1 and TBK1. On the other hand, IRF4, another IRF family of transcription factor overexpressed in a Tax-independent manner, negatively regulated the TAK1-dependent IRF3 transcriptional activity. Together, HTLV-1 manipulates IFN signaling by regulating both positive and negative IRFs.
Publication Title
Human T cell lymphotropic virus 1 manipulates interferon regulatory signals by controlling the TAK1-IRF3 and IRF4 pathways.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The microarray analysis showed an interesting up-regulation in the set of genes controlling the development of Th1, mainly IFN-gamma, and other type 1 interferon response genes including CXCL10 in IRF4 knocked-down HuT-102 cells.
Publication Title
Distinct roles of transforming growth factor-beta-activated kinase 1 (TAK1)-c-Rel and interferon regulatory factor 4 (IRF4) pathways in human T cell lymphotropic virus 1-transformed T helper 17 cells producing interleukin-9.
Sample Metadata Fields
Specimen part
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GSE145367- Rattus norvegicus
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression analysis to compare control cells and sorted cells
Publication Title
Identification of two major autoantigens negatively regulating endothelial activation in Takayasu arteritis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Utilizing M. musculus as a model of mitochondrial dysfunction provides insight into cellular adaptations which occur as a consequence of genetic alterations causative of human disease. We characterized genome-wide expression profiles of liver-conditional knockout mice for Pdss2 compared with loxP controls.
Publication Title
Primary coenzyme Q deficiency in Pdss2 mutant mice causes isolated renal disease.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Transcripts upregulated or downregulated by HOXB7-MEK signaling were identified for use on the microarray using the Affymetrix GeneChip WT PLUS Reagent Kit in comparison with HOXB7-knockdown S2-013 cells that were transfected with rescue-HOXB7 plasmid and treated with MEK inhibitor, and HOXB7-knockdown S2-013 cells that were transfected with rescue-HOXB7 plasmid but not treated with MEK inhibitor.
Publication Title
The transcription factor HOXB7 regulates ERK kinase activity and thereby stimulates the motility and invasiveness of pancreatic cancer cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 88 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The biology underlying nodal metastasis is poorly understood. Transcriptome profiling has helped to characterize both primary tumors seeding nodal metastasis and the metastasis themselves. The interpretation of these data, however, is not without ambiguities. Here we profiled the transcriptomes of 17 papillary thyroid cancer (PTC) nodal metastases, associated primary tumors and primary tumors from N0 patients. We also included patient-matched normal thyroid and lymph node samples as controls to address some limits of previous studies. We found that the transcriptomes of patient-matched primary tumors and metastases were more similar than of unrelated metastases/primary pairs, a result also reported in other organ systems, and that part of this similarity reflected patient background. We found that the comparison of patient-matched primary tumors and metastases was heavily confounded by the presence of lymphoid tissues in the metastasis samples. An original data adjustment procedure was developed to circumvent this problem. It revealed a differential expression of stroma-related gene expression signatures also regulated in other organ systems. The comparison of N0 vs. N+ primary tumors uncovered a signal irreproducible across independent PTC datasets. This signal was also detectable when comparing the normal thyroid tissues adjacent to N0 and N+ tumors, suggesting a cohort specific bias also likely to be present in previous studies with similar statistical power. Classification of N0 vs. N+ yielded an accuracy of 63%, but additional statistical controls not presented in previous studies, revealed that this is likely to occur by chance alone. To address this issue, we used large datasets from The Cancer Genome Atlas and showed that N0 vs. N+ classification rates could not be reached randomly for most cancers. Yet, it was significant, but of limited accuracy (<70%) for thyroid, breast and head and neck cancers.
Publication Title
Revisiting the transcriptional analysis of primary tumours and associated nodal metastases with enhanced biological and statistical controls: application to thyroid cancer.
Sample Metadata Fields
Sex
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Arabidopsis Gene 1.0 ST Array (aragene10st)
Description
We established a novel in vitro tissue culture system (named VISUAL), in which xylem and phloem differentiation can be induced with Arabidopsis thaliana cotyledons
Publication Title
Vascular Cell Induction Culture System Using Arabidopsis Leaves (VISUAL) Reveals the Sequential Differentiation of Sieve Element-Like Cells.
Sample Metadata Fields
Age, Specimen part, Time
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Arabidopsis Gene 1.0 ST Array (aragene10st)
Description
We established a novel in vitro tissue culture system (named VISUAL), in which xylem and phloem differentiation can be induced with Arabidopsis thaliana cotyledons
Publication Title
Vascular Cell Induction Culture System Using Arabidopsis Leaves (VISUAL) Reveals the Sequential Differentiation of Sieve Element-Like Cells.
Sample Metadata Fields
Specimen part, Time
View Samples- Mus musculus
- 42 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
The 14-week experiment included three groups: 1) the Acute Cpn group, with one C. pneumoniae inoculation at the age of 9 wks; 2) the Chronic Cpn group, with three C. pneumoniae inoculations at the age of 9, 11, and 13 wks; and 3) the control group, with three SPG inoculations at the age of 9, 11, and 13 wks. The mice were sacrificed at the age of 14 wks. The 24-week experiment included four groups: 1) the recurrent A. actinomycetemcomitans infection group, with ten A. actinomycetemcomitans inoculations once a week from the age of 14 to 23 wks; 2) the chronic C. pneumoniae infection group, with three C. pneumoniae inoculations at the age of 9, 11, and 13 wks; 3) the combined chronic C. pneumoniae and recurrent A. actinomycetemcomitans infection group, with three C. pneumoniae inoculations at the age of 9, 11, and 13 wks, and ten A. actinomycetemcomitans inoculations once a week from the age of 14 to 23 wks; and 4) the control group, with three SPG inoculations at the age of 9, 11, and 13 wks, and ten 0.9% NaCl inoculations once a week from the age of 14 to 23 wks. The mice were sacrificed at the age of 24 wks.Epididymal and inguinal AT gene expression was analyzed using an Illumina Mouse WG-6 v2.0 platform.
Publication Title
The effect of proatherogenic pathogens on adipose tissue transcriptome and fatty acid distribution in apolipoprotein E-deficient mice.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Rattus norvegicus
- 6 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Evidence from multiple linkage and genome-wide association studies suggest that human chromosome 2 (HSA2) contains alleles that influence blood pressure (BP). Homologous to a large segment of HSA2 is rat chromosome 9 (RNO9), to which a BP quantitative trait locus (QTL) was previously mapped. The objective of the current study was to further resolve this BP QTL. Eleven congenic strains with introgressed segments spanning <81.8kb to <1.33Mb were developed by introgressing genomic segments of RNO9 from the Dahl salt-resistant (R) rat onto the genome of the Dahl salt-sensitive (S) rat and tested for BP. The congenic strain with the shortest introgressed segment spanning <81.8kb significantly lowered BP of the hypertensive S rat by 25 mm Hg and significantly increased its mean survival by 45 days. In contrast, two other congenic strains had increased BP compared with the S. We focused on the <81.8kb congenic strain which represents the shortest genomic segment to which a BP QTL has been definitively mapped to date in any species. Sequencing of this entire region in both S and R rats detected 563 variants. The region did not contain any known or predicted rat protein coding genes. Further, a whole genome renal transcriptome analysis between S and the <81.8kb S.R congenic strain revealed alterations in several critical genes implicated in renal homeostasis. Taken together, our results provide the basis for future studies to examine the relationship between the candidate variants within the QTL region and the renal differentially expressed genes as potential causal mechanisms for BP regulation.
Publication Title
Defining a rat blood pressure quantitative trait locus to a &lt;81.8 kb congenic segment: comprehensive sequencing and renal transcriptome analysis.
Sample Metadata Fields
Age, Specimen part
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