Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

31 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of human pancreatic tumor and normal samples from the Mayo clinic

ABSTRACT: We used microarrays to identify the expression differences of FKBP5 gene between the pancreatic tumor and normal samples. On average normal samples had more FKBP5 expression compared to tumor samples .Experiment Overall Design: This experiment consists of 36 tumor samples and 16 normal samples; a total of 52 samples. 16 samples consist of both tumor and normal expression data, whereas 20 samples consist of only tumor data.

ORGANISM(S): Homo sapiens

SUBMITTER: Liewei Wang

PROVIDER: E-GEOD-16515 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

FKBP51 affects cancer cell response to chemotherapy by negatively regulating Akt.

Pei Huadong H Li Liang L Fridley Brooke L BL Jenkins Gregory D GD Kalari Krishna R KR Lingle Wilma W Petersen Gloria G Lou Zhenkun Z Wang Liewei L

Cancer cell 20090901 3

Akt is a central regulator of cell growth. Its activity can be negatively regulated by the phosphatase PHLPP that specifically dephosphorylates the hydrophobic motif of Akt (Ser473 in Akt1). However, how PHLPP is targeted to Akt is not clear. Here we show that FKBP51 (FK506-binding protein 51) acts as a scaffolding protein for Akt and PHLPP and promotes dephosphorylation of Akt. Furthermore, FKBP51 is downregulated in pancreatic cancer tissue samples and several cancer cell lines. Decreased FKBP ...[more]

PMID: 19732725

Similar Datasets

Expression data from Mayo Clinic Pancreatic Tumor and Normal samples

Project description:We used microarrays to identify the expression differences of FKBP5 gene between the pancreatic tumor and normal samples.On average normal samples had more FKBP5 expression compared to tumor samples

2009-06-10 | GSE16515 | GEO

Liver transcriptome profiles correlates with viral control during hepatitis B virus infection

Project description:The natural history of chronic hepatitis B virus (HBV) infection could be divided in different phases by transaminase and HBV replication levels. However, it remains unknown how the intrahepatic transcriptomes in patients are correlated with the clinical phases. Here, we determined the intrahepatic transcriptomes of chronic hepatitis B patients and examined the role of specific groups of genes, including immune-related genes, in the control of hepatitis B virus infection. The transcriptomes of 83 chronic hepatitis B patients (22 immune tolerant, 50 immune clearance, and 11 inactive carrier state) were analyzed by performing microarray analysis of liver biopsies.KEGG pathway analysis showed that immune response genes and interferon-stimulated genes were up-regulated in the immune clearance phase. Although immune tolerant patients and inactive state carriers had significantly different serum viral loads, the hepatic transcriptomes of the two groups were largely similar and only significantly differed in the expression of 109 genes (p < 0.01). Thus, we hypothesized that some of the 109 genes may be involved in HBV control and identified genes of interest by performing systematic screening using specific siRNAs. We showed that silencing candidate genes such as EVA1A resulted in significantly increased viral replication. Conversely, overexpression of candidate genes suppressed virus replication. Conclusions: The immune related pathways were up-regulated in the immune clearance phase but not in the inactive carrier phase. A number of host genes unrelated to immune pathways were expressed in the inactive carrier phase and these may participate in the control of hepatitis B virus replication, resulting in low viral replication. This dataset is part of the TransQST collection.

2016-03-31 | E-GEOD-65359 | biostudies-arrayexpress

Transcriptional profiling of tumor-associated blood vessels in invasive bladder cancer

Project description:Tumor-associated blood vessels differ from normal vessels at the morphological and molecular level. Proteins that are only present on tumor vessels may serve as biomarkers and as therapeutic targets for inhibition of angiogenesis in cancer. Comparing the transcriptional profiles of blood vascular endothelium from human invasive bladder cancer and from normal bladder tissue, we found several markers that could serve as novel biomarkers or therapeutic targets. In this dataset, we include the expression data obtained from laser capture microdissected (LCM) vessels isolated from tumor and bladder normal tissue. 10 samples were analyzed. We compared expression of tumor associated blood vessels with expression of vessels in the normal bladder tissue using Genespring GX 12.

2013-03-08 | E-GEOD-41614 | biostudies-arrayexpress

Corticosteroid-induced chromatin loop dynamics at the FKBP5 gene

Project description:FKBP5 is a long glucocorticoid-inducible gene implicated in psychiatric disorders. To investigate the complexities of chromatin interaction frequencies at the FKBP5 topologically associated domain (TAD), we deployed fifteen one-to-all chromatin capture viewpoints near gene promoters, enhancers, introns, and CTCF-loop anchors. This revealed a ‘one-TAD-one-gene’ structure encompassing the FKBP5 promoter and its enhancers. The FKBP5 promoter and its two glucocorticoid-stimulated enhancers roam the entire TAD while displaying subtle cell type-specific interactomes. The FKBP5 TAD consists of two nested CTCF loops that are coordinated by one CTCF site beyond the FKBP5 polyadenylation site and another in its 8th intron, 61 kb further. Loop extension correlates with transcription increases through the intronic CTCF site. This is efficiently compensated for, since the short loop is restored even under high transcription regimes. The boundaries of the FKBP5 TAD consist of divergent CTCF sites, harbor multiple smaller genes and are resilient to glucocorticoid stimulation. Interestingly, both FKBP5 TAD boundaries harbor H3K27me3-marked heterochromatin blocks that may reinforce them. We propose that cis-acting genetic and epigenetic polymorphisms underlying FKBP5 expression variation are likely to reside within a 240 kb region that consists of the FKBP5 TAD, its left sub-TAD, and both its boundaries.

2023-10-15 | GSE136034 | GEO

mRNA expression profiling in mouse bronchoalveolar stem cells (BASC)

Project description:We performed miRNA and mRNA profiling in BASC cells and c-Myc depleted BASC cells. We built potential miRNA-mRNA interaction networks specific to c-Myc regulation in BASCs Replicated profilling for both BASC cells and c-Myc depleted BASC cells.

2012-01-26 | E-GEOD-30323 | biostudies-arrayexpress

Subclonal cooperation drives metastasis through modulating local and systemic immune microenvironments

Project description:Bulk RNA-Seq: Gene expression analysis of stromal and tumor fractions of primary and metastatic lesions of polyclonal and monoclonal origin. Primary tumor control samples consist of monoclonal Thy1.1 (no replicates), monoclonal parental (no replicates), monoclonal IL11 (duplicate), monoclonal FIGF (duplicate), and monoclonal CFP (duplicate). Primary polyclonal tumor samples consist of separated Thy 1.1 (duplicate), CFP (no replicates), IL11 (triplicate), and FIGF (triplicate). Metastatic tumor samples consist of monoclonal CFP (duplicate), monoclonal IL11 (quadruplicate), monoclonal FIGF (quadruplicate), monoclonal Thy1.1 (duplicate), and polyclonal samples (duplicate). Metastatic stromal fractions consist of monoclonal CFP (duplicate), monoclonal FIGF (quadruplicate), monoclonal IL11 (quadruplicate), monoclonal parental (duplicate), monoclonal Thy1.1 (duplicate), and polyclonal samples (triplicate). Primary stromal samples consist of monoclonal CFP (duplicate), monoclonal FIGF (duplicate), monoclonal IL11 (duplicate), monoclonal parental (no replicates), monoclonal Thy1.1 (duplicate), and polyclonal samples (triplicate). Further stromal controls consisted of a single fatpad sample and lung sample. Single cell RNA-Seq: Blood, tumors and lungs were isolated from test groups (DOX+ and DOX-) and tumor-naÃ¯ve animals. Samples were pooled across 3 animals per group, and CD45+populations were FACS-sorted. Two thousand single cells were targeted for each sample.

2019-09-24 | GSE109281 | GEO

Predicting genome-wide DNA methylation

Project description:Genome wide DNA methylation profiling of normal whole blood samples. The data consist of 100 samples with Illumina HumanMethylation450 BeadChip data.

2014-11-05 | GSE62992 | GEO

Differential Methylation Of The TRPA1 Promoter In Pain Sensitivity: DNA methylation 450k array

Project description:Genome wide DNA methylation profiling of normal whole blood samples. The data consist of 43 samples with Illumina HumanMethylation450 BeadChip data.

2013-12-09 | GSE53128 | GEO

mRNA and miRNA expression profiling in mouse bronchoalveolar stem cells (BASC)

Project description:This SuperSeries is composed of the following subset Series: GSE30323: mRNA expression profiling in mouse bronchoalveolar stem cells (BASC) GSE30435: MicroRNA expression profile in mouse bronchoalveolar stem cells (BASC) Refer to individual Series

2012-01-26 | E-GEOD-30437 | biostudies-arrayexpress

Three-Dimensional Tumor Profiling Reveals Minimal mRNA Heterogeneity in Esophageal Squamous Cell Carcinoma

Project description:We microdissected discrete sub-regions of esophageal squamous cell carcinoma (ESCC) and analyzed the transcriptomes throughout three-dimensional (3D) tumor space. Nine cases were used for TP/TC comparison, five cases were used for 3D analysis, one normal case was set as a control.

2011-11-04 | E-GEOD-33426 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data