Gene Expression data from Pdx-1CreAPC+/LP53L/L pancreatic ductal adenocarcinoma (PDAC) cells versus Pdx-1CreP53L/L normal pancreatic ductal cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Tzu-Lei Kuo
PROVIDER: E-GEOD-61894 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Analysis of primary PDAC cells established from Pdx-1CreAPCL/+p53L/L and Pdx-1Crep53L/L mice. APC haploinsufficiency combined with P53 loss in the pancreas drives MCN progression in mice. Results provide insight into molecular mechanisms invloved in the MCN formation of Pdx-1Cre APCL/+P53L/L mice.
2014-10-01 | GSE61894 | GEO
Project description:Mouse CD8+ T cells affected by ID3 (Inhibitor of DNA binding 3) display patterns of gene expression suggesting enhanced persistance and survival. In this study, we identified genes differentially expressed between ID32a transduced and mock transduced, and ID32a knockout and wild type mouse CD8+ T cells. Most prominent functions of differentially expressed genes include DNA replication-associated repair, maintenance of chromosome stability and mitotic cell divison machinery. Overall, these data suggest that ID3 acts in favor of maintained survival in CD8+ mouse T cells. Two independent microarray experiments were carried out using separate array batches, one comparing Id32aThy1.1 (ID32a transduced) with Thy1.1 pmel-1 (mock transduced) CD8+ T cells sorted 5 days after infection, and a second experiment comparing Id32a-/- (Id32a knockout)CD8+ T cells with Id32a+/+ (Id32a wild type) controls, both in an upaired design. Individual array samples were generated by pooling equal amounts of total RNA derived from purified T cells of four individual mice. Each experimental group consisted of four such microarrays (statistical group size n=4, pooled samples derived from 16 mice per assay group total).
2011-10-15 | E-GEOD-23568 | biostudies-arrayexpress
Project description:Pancreatic ductal adenocarcinoma (PDAC) has the worst prognosis of all common cancers, but divergent outcomes are apparent between patients. To delineate the intertumor heterogeneity that contributes to this, we aimed to identify clinically distinct gene expression-based subgroups. From a cohort of 345 resected pancreatic cancer cases, 90 samples with confirmed diagnosis of PDAC and sufficient tumor content were available for gene expression analysis by RNA sequencing. Unsupervised classification was applied, and a classifier was constructed. Species-specific transcript analysis on matching patient-derived xenografts (PDX, N=14) allowed construction of tumor- and stroma-specific classifiers for use on PDX models and cell lines.
2020-01-25 | E-MTAB-6830 | biostudies-arrayexpress
Project description:miRNAs are known to be involved in PDAC tumorigenesis, but only a few biologically relevant gene targets have been identified. Here we show that three miRNAs (miR-21, miR-23a and miR-27a) act in concert for the cooperative suppression of several tumor suppressor genes of which we experimentally validated PDCD4, BTG2 and NEDD4L. The synergistic inhibition of this triple miRNA combination is capable of reducing PDAC growth in a mouse model greater than inhibition of oncomiR-21 alone. Patients samples of normal pancreas (n=6) or pancreatic ductal adenocarcinoma (PDAC; n=6) were retrieved during surgery and placed in RNA Later stabilization fluid and then kept at minus 80 until required.
2013-12-30 | E-GEOD-41368 | biostudies-arrayexpress
Project description:Tumor-stroma interactions are critical in pancreatic ductal adenocarcinoma (PDAC) progression and therapeutics. Patient-derived xenograft (PDX) models faithfully recapitulate tumor-stroma interactions in PDAC, but conventional antibody-based immunoassay is largely inadequate to resolve or quantify tumor and stromal proteins. A species-deconvolved proteomics approach embedded in the ultra-high-resolution (UHR)-IonStar workflow can unambiguously quantify the proteins from tumor (human-derived) and stroma (mouse-derived) in PDX samples, enabling unbiased investigation of their proteomes with excellent quantitative reproducibility. With this strategy, 3 PDAC PDXs were analyzed. They were showed differential responses to treatment with Gemcitabine combined with nab-Paclitaxel (GEM+PTX), which is a first-line treatment regimen for PDAC. For each PDAC PDX, samples were collected after 24 hour and 192 hour with/without treatment, and each condition contained four biological replicates.
2023-07-05 | PXD042267 | Pride
Project description:We generated novel patient derived xenograft (PDX) and cell line -derived xenograft models for pancreatic ductal adenocarcinoma (PDAC) which reflect different molecular subtypes. Pancreatic ductal adenocarcinoma is currently the tumor with the fourth highest mortality rate. Recently, subtypes of PDAC have been reported by Collisson et al (Nat. Med. 17(4) 2011. DOI: 10.1038/nm.2344). However current fetal calf serum (FCS) cultured cell lines do not accurately model these subtypes. We thus generated novel serum-free cell lines derived from primary patient xenografts. We here analyse the gene-expression profiles of the xenografts and the derived cell lines. We show that indeed three different subtypes can be separated in our models based on gene-expression data. Further, we identify upregulation of a drug-detoxification pathway specifically in xenografts and cell lines of one of the subtypes. These models and data will help to better understand inter-patient heterogeneity in PDAC and identify novel drug targets and diagnostic markers.
2016-01-12 | E-MTAB-4029 | biostudies-arrayexpress
Project description:Engraftment of primary pancreas ductal adenocarcinomas (PDAC) in mice to generate patient derived xenograft (PDX) models is a promising platform to for biological and therapeutic studies in this disease. However, these models are still incompletely characterized. Here, we measured the impact of the murine environment on the gene expression of the engrafted human tumoral cells. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published microarray data from PDAC and hepatocellular carcinoma (HCC). Our results showed that PDX models derived from PDAC, or HCC, were clearly different to the cell lines derived from the same cancer tissues. Indeed, PDAC- and HCC-derived cell lines are indistinguishable one from the other based in their gene expression profiles. In contrast, the transcriptomes of PDAC and HCC PDX models are clearly different and more similar to their original tumor than to PDX models from the other tumor type. Interestingly, the main differences between pancreatic PDX models and human PDAC is the expression of genes involved in pathways related with extracellular matrix interactions and cell cycle regulation likely reflecting the adaptations of the tumors to the new environment. Furthermore, most of these differences are detected in the first passages after the tumor engraftment, indicating early phases of the adaptation process. In conclusion, different from conventional cancer cell lines, PDX models of PDAC retain similar gene expression profiles of PDAC. Expression changes are mainly related to genes involved in stromal pathways likely reflecting the adaptation to new environments. We also provide evidence of the stability of gene expression patterns over subsequent passages. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published in GEO microarray data. We used PDX models, primary tumors and cell lines from PDAC and hepatocellular carcinoma. All these public data were re-process in order to compare with our 35 samples
2014-04-22 | E-GEOD-51798 | biostudies-arrayexpress
Project description:The mechanisms involved in promoting metastasis of pancreatic ductal adenocarcinoma have yet to be elucidated. Here, we show that AnnexinA2 regulates the secretion of Semaphorin3D from pancreatic tumor cells allowing it to bind to its receptor PlexinD1 on the surface of the tumor cell, which induces invasion and metastasis. Knockdown of AnnexinA2 or Semaphorin3D decreases the metastatic potential of pancreatic tumor cells, while over expression of AnnexinA2 or Semaphorin3D is sufficient to rescue the invasion capacity of these cells. Clinically, we found that Semaphorin3D expression correlates with poor survival and increased metastatic potential in human PDA patients. This study identified a novel axon guidance pathway downstream of AnnexinA2 that can be targeted in the treatment of metastatic pancreatic cancer. Two primary pancreatic tumor cell lines were analyzed. The first primary line was derived from a KrasG12D/p53172H/Pdx-1Cre mouse, which served as the reference sample. The second primary line was derived from a KrasG12D/p53R172H/Pdx-1Cre/AnxA2-/- mouse.
2015-09-03 | E-GEOD-62285 | biostudies-arrayexpress
Project description:Endothelial cells from nine steady state tissues and two regenerating tissues (bone marrow and liver) were intravitally labeld, isolated via flow sorting, and immediately processed for RNA extraction. When of sufficient quality, the RNA was amplified and hybridized. For comparison, Human Emybryonic Stem Cell-derived Endothelial cells (hESC-ECs) were differentiated and isolated based on similarities to the adult mouse counterparts. Endothelial cells were labeled via intravitally labeling of the vascular bed 8 minutes prior to sacrifice with minimally three markers to identify endothelial cells followed by flow sorting.
2013-07-15 | E-GEOD-47067 | biostudies-arrayexpress
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de. Alternative splicing and gene expression analysis during development of the heart and cardiomyoyte differentiation.
2011-11-28 | E-GEOD-30429 | biostudies-arrayexpress