Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Proteomic profiles of PDAC LCM sub-tumour microenvironments

ABSTRACT: OCT-embedded PDAC tissues were assessed for stromal and tumour epithelial regions which were both laser-capture microdissected from 33 patients. Integration of these proteomic profiles with transcriptomic data lead to the identification of two spatially confined tumour microenvironment programs: deserted and reactive.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Dr. Thomas Kislinger Dr. Rama Khokha

PROVIDER: MSV000086812 | MassIVE | Fri Feb 05 08:39:00 GMT 2021

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Spatially confined sub-tumor microenvironments orchestrate pancreatic cancer pathobiology

Project description:Pancreatic ductal adenocarcinoma (PDAC) remains resistant to most treatments and demonstrates a complex pathobiology. Here, we deconvolute regional heterogeneity in the human PDAC tumor microenvironment (TME), a long-standing obstacle, to define precise stromal contributions to PDAC progression. Large scale integration of histology-guided multiOMICs profiling with clinical data sets and functional in vitro models uncovered two microenvironmental programs in PDAC that were anchored in fibroblast differentiation states. These sub-tumor microenvironments (subTMEs) co-occurred intratumorally and were spatially confined, producing patient-specific cellular and molecular heterogeneity associated with shortened patient survival. Each subTME was uniquely structured to support discrete aspects of tumor biology: reactive regions rich in activated fibroblast communities were immune-hot and promoted aggressive tumor progression while deserted regions enriched in extracellular matrix supported tumor differentiation yet were markedly chemoprotective. In conclusion, PDAC regional heterogeneity derives from biologically distinct reactive and protective TME elements with a defined, active role in PDAC progression.

2021-08-23 | GSE166571 | GEO

Spatially confined sub-tumor microenvironments orchestrate pancreatic cancer pathobiology

Project description:Spatially confined sub-tumor microenvironments orchestrate pancreatic cancer pathobiology

| PRJNA701287 | ENA

Immunohistochemical markers distinguishing cholangiocellular carcinoma from pancreatic ductal adenocarcinoma discovered by proteomic analysis of microdissected cells

Project description:Cholangiocellular carcinoma (CCC) and pancreatic ductal adenocarcinoma (PDAC) are two highly aggressive cancer types which arise from epithelial cells of the pancreatobiliary system. Due to their histologic and morphologic similarity, differential diagnosis between CCC and metastasis of PDAC located in the liver frequently proves an unsolvable issue for pathologists. Biomarkers with high specificity and sensitivity for the differentiation of these tumour types would therefore be a valuable tool, but so far none are available. Here, we address this problem by comparing microdissected CCC and PDAC tumour cells in a label-free proteomics approach. The novel biomarker candidates were subsequently verified by immunohistochemical staining of primary and secondary tumour tissue.

2015-12-10 | PXD001833 | Pride

Stromal and epithelial proteome landscapes of pancreatic cancer predict poor prognosis and identify therapeutic options

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

Ultrasonic-based OCT-removal from solid tumor biopsies.

Project description:A new method for proteomic studies of OCT-embedded samples based on ultrasound energy is proposed. The cleaning of OCT from mouse kidney embedded tissues were evaluated through the aid of ultrasound energy, with two different frequencies. Simultaneously, vortex agitation was used as control. The optimized method obtained was then applied in human tumor kidney biopsies including chromophobe renal cell carcinomas (chRCC) and renal oncocytomas (RO).

2019-06-13 | PXD013164 | Pride

Array CGH analysis for 29 pancreatic ductal adenocarcinoma (PDAC) samples

Project description:Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “non-random” genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC. (Harada et al. Pancreatology) Keywords: pancreatic ductal adenocarcinima, tissue microdissection, array CGH, genetic alterations A panel of 23 microdissected PDAC tissues and 6 PDAC-derived cell lines were analysed using Sanger's CGH arrays with 1 Mb resolution. Clinical info of the samples used is provided as a supplementary file.

2008-12-16 | E-GEOD-9672 | biostudies-arrayexpress

The proteome of C. carboxidivorans P7 and/or S. oneidensis MR-1 bacterial cells under unconfined and confined culture condition

Project description:Our work offers a novel concept of spatially confined microbiota, advancing sustainable biomanufacturing and function-robust microbiota design.

2024-11-14 | PXD057916 |

Large field of view and spatial region of interest transcriptomics in frozen and FFPE tissue

Project description:Expression profiling in spatially defined regions is crucial for systematically understanding tissue complexity. Here, we report a method of photo-irradiation for in-situ barcoding hybridization and ligation sequencing, named PBHL-seq, which allows targeted expression profiling from the photo-irradiated region of interest in intact fresh frozen and FFPE tissue samples. PBHL-seq uses photo-caged oligodeoxynucleotides for in situ reverse transcription followed by spatially targeted barcoding of cDNAs to create spatially indexed transcriptomes of photo-illuminated regions. We recover thousands of differentially enriched transcripts from different regions by applying PBHL-seq to OCT-embedded tissue (E14.5 mouse embryo and mouse brain) and FFPE mouse embryo (E15.5). We also apply PBHL-seq to the subcellular microstructures (cytoplasm and nucleus, respectively) and detect thousands of differential expression genes. Thus, PBHL-seq provides an accessible workflow for expression profiles from the region of interest in frozen and FFPE tissue at subcellular resolution with areas expandable to centimeter scale, while preserving the sample intact for downstream analysis.

2024-06-30 | GSE268148 | GEO

Molecular subtypes in pancreatic adenocarcinoma [tumors, normal and pancreatitis]

Project description:The goal of the study was to examine the transcriptional profile of pancreatic tumors to identify molecular subtypes in order to develop validated clinically useful gene expression signature with the potential to guide therapy decision. Tissue was obtained by snap freezing in liquid nitrogen as soon as removed. All tissue samples were stored at -80C. Samples were embedded in OCT and a 4ug section was taken for H/E staining. After QC procedure to ensure high quality RNA (RIN>7) and confirm PDAC histology, 78 samples were subjected to microarray analysis. All patients signed an Institutional Review Board approved consent for bio-banking, clinical data extraction and molecular analysis.

2016-06-01 | GSE77858 | GEO

Molecular subtypes in pancreatic adenocarcinoma [tumors, normal and pancreatitis]

2016-06-01 | E-GEOD-77858 | biostudies-arrayexpress