Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor

ABSTRACT: Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor

PROVIDER: PRJNA471419 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [Drop-seq]

Project description:Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [Drop-seq]

| PRJNA471422 | ENA

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [RNA-seq]

Project description:Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [RNA-seq]

| PRJNA471423 | ENA

Pancreatic adenocarcinoma human organoids share structural and genetic features with primary tumors

Project description:Pancreatic adenocarcinoma human organoids share structural and genetic features with primary tumors

| PRJNA498740 | ENA

Pancreatic adenocarcinoma human organoids share structural and genetic features with primary tumors

Project description:Pancreatic adenocarcinoma human organoids share structural and genetic features with primary tumors

| PRJNA498741 | ENA

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [Drop-seq]

Project description:In this study, we applied Drop-seq, a high throughput single cell RNA-seq platform, to characterize the different cell types present in pancreatic cancer organoids. We sequenced the transcriptomes of 7675 single cells from organoids derived from a patient undergoing a Whipple procedure for pancreatic ductal adenocarcinoma (PDAC). We then developed a novel clustering approach based on a class of probabilistic generative models called topic models, leading to the identification of subpopulations of cells.

2020-06-01 | GSE114454 | GEO

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-06-01 | GSE114455 | GEO

Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors.

Project description: Not available

| S-EPMC6647028 | biostudies-literature

Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [RNA-seq]

Project description:RNA sequencing demonstrates molecular profiles common to primary tumor, PDX and organoid models

2020-06-01 | GSE114453 | GEO

Characterization of morphological alterations in micropapillary adenocarcinoma of the lung

Project description:Micropapillary adenocarcinoma of the lung is a cancer with poor prognosis and characterized by the presence of tumor cells with ring-like glandular structure floating within alveolar spaces. We investigated the association between its morphological, biochemical, and immunohistochemical characteristics and malignancy using the KU-Lu-MPPt3 cell line established from a patient with micropapillary adenocarcinoma. Two subpopulations of KU-Lu-MPPt3 cells, adhesive (AD) and clumpy and suspended (CS) cells, were prepared and subjected to DNA microarray.

2021-09-28 | GSE184883 | GEO

Electrophysiological Maturation of Cerebral Organoids Correlates with Dynamic Morphological and Cellular Development

Project description:Cerebral organoids (COs) are rapidly accelerating the rate of translational neuroscience based on their potential to model complex features of the developing human brain. Several studies have examined the electrophysiological and neural network features of COs; however, no study has comprehensively investigated the developmental trajectory of electrophysiological properties in whole-brain COs and correlated these properties with developmentally-linked morphological and cellular features. Here, we profiled the neuroelectrical activities of COs over the span of five months with a multi-electrode array (MEA) platform and observed the emergence and maturation of several electrophysiologic properties, including rapid firing rates and network bursting events. To complement these analyses, we characterized the complex molecular and cellular development that give rise to these mature neuroelectrical properties with immunohistochemical and single-cell transcriptomic analyses. This integrated approach underscores the value of COs as an emerging model system of human brain development and neurological disease.

2020-08-28 | GSE157019 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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