Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

FACS-sorted Pancreatic Adenocarcinoma for Molecular Profiling

ABSTRACT: Frozen, whole tissue was dissociated and sorted into to tumor and stromal fractions via FACS Keywords: Mapping Array

ORGANISM(S): Homo sapiens

PROVIDER: GSE14579 | GEO | 2010/02/18

SECONDARY ACCESSION(S): PRJNA111589

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

FACS-sorted Pancreatic Adenocarcinoma for Molecular Profiling

Project description:Frozen, whole tissue was dissociated and sorted into to tumor and stromal fractions via FACS Keywords: Mapping Array Profiling of tumor and stromal fractions from whole tissue

2010-02-18 | E-GEOD-14579 | biostudies-arrayexpress

Negative FACS sorted EC neurons

Project description:Drosophila Embryo Cell Culture samples allowed to differentiate 3-5 days in culture. Samples express a GFP reporter in cholinergic neurons (7.4 kb ChaGal4:UAS-GFP) or an RFP reporter (2.1 kb Gad1-RFP) in glutamic acid decarboxylase 1 expressing Neurons. This group of samples contains the negatively sorted FACS fractions (2 Cha and 2 Gad negative samples). Keywords: other

2004-07-04 | GSE1046 | GEO

FACS sorted podocytes, mesangial cells

Project description:FACS sorted glomerular kidney cells from a single mouse were subjected to proteomics.

2022-10-13 | PXD016237 | Pride

Transcriptome analysis of a FACS-sorted human intersitial cells of Cajal (ICC) [array]

Project description:Interstitial cells of Cajal (ICC) are electrical pacemakers and mediators of neuromuscular neurotransmission in the gastrointestinal tract. Gastrointestinal stromal tumors (GIST) arise within the ICC lineage due to activating KIT/PDGFRA mutations. In this study we developed a method for isolation of human ICC by immunolabeling and fluorescence-activated cell sorting (FACS). Briefly, human gastric musculature was dissociated and incubated with antibodies against CD45, FCER1A, CD11B, KIT, and CD34. ICC (defined as HP-KIT+CD34- cells), NOT ICC (defined as HP-KIT-CD34- cells), and hematopoietic (HP) cells (defined as HP+ cells) were isolated using FACS. Microarray was performed on ICC, NOT ICC, HP+ cells, and unfractionated gastric tunica muscularis. This study utilized micorarray for the phenotypic characterization of FACS-sorted human ICC, allowing comparison of ICC to other cells of the gastric musculature, including GIST. De-identified human gastric tissues obtained as surgical excess tissue from patients undergoing bariatric operations. This study utilized oligonucleotide microarray analysis to characterize the transcriptome of FACS-sorted human ICC.

2017-02-22 | GSE77839 | GEO

Transcription profiling of Drosophila neurons visualized with GFP and FACS sorted

Project description:Expression profiling of Drosophila neurons visualized with transgenic reporter genes, 7.4 kb Cha-Gal:UAS-GFP or 2.1 kb Gad1(s)-RFP. Experiment Overall Design: Transgenic Drosophila embryo cultures (5-7 day old) incubated at 25 C, dissociated and harvested for Fluorescent Active Cell Sorting (FACS) prior to microarray analysis.

2009-04-04 | E-GEOD-10773 | biostudies-arrayexpress

Proteomics of FACS-sorted heterogeneous Corynebacterium glutamicum populations

Project description:The metabolic status of individual cells in microbial cultures can differ being relevant for biotechnology, environmental and medical microbiology. However, it is hardly understood in molecular detail due to limitations of current analytical tools. Here, we demonstrate that FACS in combination with proteomics can be used to sort and analyze cell populations based on their metabolic state. A previously established GFP reporter system was used to detect and sort single Corynebacterium glutamicum cells based on the concentration of branched chain amino acids (BCAA) using FACS. A proteomics workflow optimized for small cell numbers was used to quantitatively compare proteomes of a ?aceE mutant, lacking functional pyruvate dehydrogenase (PD), and the wild type. About 800 proteins could be quantified from 1,000,000 cells. In the ?aceE mutant BCAA production was coordinated with upregulation of the glyoxylate cycle and TCA cycle to counter the lack of acetyl CoA resulting from the deletion of aceE.

2017-11-02 | PXD005812 | Pride

FACS sorting of human adipose tissue stromal vascular fraction

Project description:Adipose tissue from 6 non-obese patients was collagenase treated and adipocytes separated from the stromal vascular fraction(SVF). SVF was then FACS sorted for the following fractions CD45-/CD34+/CD31+ (endothelial), CD45-/CD34+/CD31- (progenitor), CD45+/CD14+ (monocyte/macrophage), CD45+/CD14-(Leukocyte). RNA was isolated from adipocyte, SVF, progenitor, macrophage/monocyte and leukocyte fractions and analyzed on the Affymetrix Human Transcriptome 2.0 array. We also sorted SVF from an additional 13 (10 non-obese, 9 obese) patients and sent progenitor RNA for Affymetrix Human Transcriptome 2.0 array analysis.

2017-09-19 | GSE80654 | GEO

Smart-seq2 analysis of P17 FACS sorted retinal cells from the Tg(Chx10-EGFP/cre,-ALPP)2Clc or Vsx2-GFP transgenic line

Project description:Three Vsx2-GFP mouse retinas were dissected, dissociated and FACS sorted, and single cell RNA-seq libraries were generated for 288 single cells and 3 bulk libraries using Smart-seq2 (~10,000 cells each)

2016-08-25 | GSE80232 | GEO

RNA-Seq of FACS-sorted cardiomyocytes

Project description:RNA-Seq of FACS-sorted cardiomyocytes

| PRJNA474426 | ENA

Smart-seq2 analysis of P17 FACS sorted retinal cells from the Kcng4-cre;stop-YFP X Thy1-stop-YFP Line#1 mice

Project description:Four Kcng4-cre;stop-YFP mouse retinas from two mice were dissected, dissociated and FACS sorted, and single cell RNA-seq libraries were generated for 384 single cells using Smart-seq2. Aligned bam files are generated for 383 samples as one failed to align.

2016-08-25 | GSE81903 | GEO

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