Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA293520 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The effects of Schwann cells on the neuro-stroma niche in pancreatic ductal adenocarcinoma (PDAC) remain to be explored. Here, single-cell RNA-sequencing and spatial transcriptome analysis of PDAC tissues reveals that Schwann cells induce malignant subtypes of tumour cells and cancer-associated fibroblasts. Mass Spectrometry (MS) were performed to detected the potential functional factors secreted by Schwann cells.
2023-06-27 | PXD042556 | Pride
Project description:tumor-stroma crosstalk drives pancreatic carcinogenesis we used time-resolved genome-wide transcriptional profiling to analyse changes caused by co-exposure of pancreatic tumor and stellate cells Primary pancreatic Stellate cells (PSC) were treated with a cumulative supernatant of pancreatic tumor cell lines (n=8) and harvested at 1-7, and 24 hours post exposure for RNA extraction and hybridization on Affymetrix microarrays. The 8 tumor cell lines are pancreatic ductal adenocarcinoma lines: AsPC1, BxPC3, Capan1, Colo357, MiaPaca2, Panc1, Su8686, and T3M4
2013-08-09 | E-GEOD-49583 | biostudies-arrayexpress
Project description:Pancreatic ductal adenocarcinoma (PDAC) is characterized by the presence of relatively few tumor cells surrounded a heterocellular non-cancerous cell population embedded in extracellular matrix, collectively named stroma. Despite the recognition that the stroma is an important contributor to the typically poor outcome of PDAC, its analysis has been hampered by the analysis of bulk tissue. Similar issues have precluded meaningful analysis of the epithelial compartment. Here, we present the proteome analysis of a set of sixteen lasercapture microdissected PDAC samples, investigating tumor and stroma, together with bulk tumor samples, yielding the deepest PDAC proteomic to date.
2021-09-08 | PXD011289 | Pride
Project description:This study used laser capture microdissection to obtain paired tumor epithelium and stroma RNA samples from human pancreatic ductal adenocarcinoma (PDA) frozen sections. Libraries were prepared using the Nugen Ovation RNA-Seq System V2 and sequenced to a depth of 30 million 100bp single-end reads. These data were used to model compartment-specific gene expression density on a genome-wide scale and build an algorithm for transcriptional devonvolution (ADVOCATE). RNA sequencing of macrodissected bulk PDA sections was performed on 15 samples in order to systematically compare TruSeq and NuGEN RNA-Seq libraries and (ii) correlate histopathological and molecular assessment of tumor composition.
2018-11-27 | GSE93326 | GEO
Project description:Pancreatic ductal adenocarcinoma (PDAC) is characterized by the presence of relatively few tumor cells surrounded a heterocellular non-cancerous cell population embedded in extracellular matrix, collectively named stroma. Despite the recognition that the stroma is an important contributor to the typically poor outcome of PDAC, its analysis has been hampered by the analysis of bulk tissue. Here we present a landscape of human epithelial PDAC cells of primary tumors (n=6) and metastases (n=4) in a mouse stroma background.
2021-09-09 | PXD017393 | 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:Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a “basal-like†subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical. Analysis of the landscape of gene expression in pancreatic adenocarcinoma. Data include 145 primary and 61 metastatic PDAC tumors, 17 cell lines, 46 pancreas and 88 distant site adjacent normal samples. Arrays represent distinct samples. The SPOT column in the raw data file (linked to each sample record) contains Agilent feature extraction numbers (included in the 'GPL4133-20424.txt' linked to the platform records).
2015-09-07 | E-GEOD-71729 | biostudies-arrayexpress
Project description:Gene expression analyses of pancreatic adenocarcinoma and adjacent ductal epithelia from the same patient using bulk vs LCM dissected samples. Our results indicate that laser capture microdissection (LCM) is necessary to identify differentially expressed genes that discriminate between PDAC and healthy pancreatic ductal tissue.
2014-12-31 | GSE27890 | GEO
Project description:Gene expression analyses of pancreatic adenocarcinoma and adjacent ductal epithelia from the same patient using bulk vs LCM dissected samples. Our results indicate that laser capture microdissection (LCM) is necessary to identify differentially expressed genes that discriminate between PDAC and healthy pancreatic ductal tissue. Pancreatic tissues were collected at time of surgery and snap frozen in liquid nitrogen for RNA extraction and Affymetrix GeneChip Expression analyses.
2014-12-31 | E-GEOD-27890 | biostudies-arrayexpress
Project description:To evaluate the prognostic relevance of molecular subtypes and key transcription factors in pancreatic ductal adenocarcinoma (PDAC), we performed gene expression analysis of whole-tumor tissue obtained from 118 surgically resected PDAC and 13 control samples.
2016-08-17 | GSE62165 | GEO