Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of mouse embryonic stem cells with single-cell RNA sequencing

ABSTRACT: Differences in gene-expression profiles between individual cells can give rise to distinct cell fate decisions. Yet how localisation on a micropattern impacts initial changes in mRNA, protein, and phosphoprotein abundance remains unclear. To identify the effect of cellular position on gene expression, we developed a scalable antibody and mRNA targeting sequential fluorescence in situ hybridization (ARTseq-FISH) method capable of simultaneously profiling mRNAs, proteins, and phosphoproteins in single cells. We studied 67 (phospho-)protein and mRNA targets in individual mouse embryonic stem cells (mESCs) cultured on circular micropatterns. To validate the detection of the mRNA targets quantified with ARTseq-FISH, we utilized single-cell RNA sequencing to profile a comparable population of mouse embryonic stem cells.

ORGANISM(S): Mus musculus

PROVIDER: GSE264348 | GEO | 2024/04/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

I-SPY2-990 mRNA/RPPA Data Resource

Project description:The I-SPY2-990 mRNA/RPPA data resource contains gene expression, protein/phosphoprotein and clinical data for ~990 patients from the first 10 completed arms of the I-SPY 2 platform trial for aggressive, early stage breast cancer. Experimental treatments include pan-HER2 inhibitors and anti-HER2 agents, PARP inhibitor/DNA damaging agent combinations, an AKT inhibitor, immunotherapy, and ANG1/2, IGF1R and HSP90 inhibitors added to standard of care chemotherapy. All patients have pretreatment full transcriptome expression data on over ~19,000 genes assayed on Agilent 44K. 736 patients (all arms except ganitumab and ganetespib) have normalized LCM-RPPA data for 139 key signaling proteins/phosphoproteins in cancer. Clinical data includes HR, HER2 and MP status, response (pCR or no pCR), and treatment arm. This SuperSeries is composed of the mRNA and RPPA SubSeries listed below.

2022-05-25 | GSE196096 | GEO

High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human embryonic stem cell gastruloid cultures

Project description:We used circular micropattern cultures to differentiate human embryonic stem cells (H1 hESCs) into microcolonies termed ‘gastruloids’, comprising germ layer and extraembryonic cells. Differentiated gastruloids were dissociated and reseeded onto micropatterns in single cells solution to study cell sorting behaviors. We applied single-cell RNA sequencing to examine transcriptomes of gastruloids and reseeded cells.

2020-11-18 | GSE144897 | GEO

RNA-seq of ER-targeted and cytosolic mRNAs with control or CNOT1-targeting siRNA treatment in HEK293 cells

Project description:Determination of mRNA localisation in HEK293 cells with and without the depletion of CNOT1

2021-09-07 | GSE183148 | GEO

Metabolomics Workbench ST000003 - GNPS - Metabolomic analysis of mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells

Project description:mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells were compared via metabolomic analysis

2018-08-02 | MSV000082680 | GNPS

I-SPY2-990 mRNA/RPPA Data Resource: RPPA component

Project description:The RPPA component of the I-SPY2-990 mRNA/RPPA Data Resource contains protein/phosphoprotein data from pre-treatment laser capture microdissected (LCM) tumor biopsies for 139 key signaling proteins/phosphoproteins in cancer for 736 patients from 8 arms of the neoadjuvant I-SPY2 TRIAL (NCT01042379) for aggressive early stage breast cancer [194 Control (Ctr); 63 veliparib/carboplatin (VC); 105 neratinib (N); 87 MK2206; 128 trebananib; 49 TDM1/pertuzumab(P); 43 H/P; and 67 pembrolizumab (pembro)]. This record also contains clinical data for these patients, including HR, HER2 and MP status, response (pCR or no pCR), and treatment arm. RPPA endpoints assayed are from hormone receptor (n=4), HER family (n=14), cell cycle/proliferation (n=20), immune (n=18), DNA repair deficiency (DDR; n=15), AKT/mTOR/PI3K (n=7), apoptosis/autophagy (n=10), IGF1R (n=6), TIE/ANG (n=4), growth/survival/metabolism (n=22) and RTK (n=19) pathways. For gene expresson data for all 736 patients with RPPA data, plus an additional 150 patients for a total 987 patients from 10 arms of I-SPY2 (mRNA component of the I-SPY2-990 Data Resource), see the companion GEO record/subseries GSE194040.

2022-05-25 | GSE196093 | GEO

Systematic identification and characterization of long non-coding RNAs in zebrafish through RNA-Seq

Project description:We sequenced mRNA from embryonic heart of zebrafish larvae 4 days post fertilization, adult heart of 6-month-old WIK fish, and adult muscle of adult fish consisting of both fast-twitch and slow-twitch fibers.

2017-05-01 | GSE85416 | GEO

RNA-seq study of HUVEC/MSC cell growth on micropatterned Si-TiB2 substrates

Project description:Analysis of transcriptome changes in human umbilical vein cells (HUVEC) and mesenchymal stem cells (MCS) grown on deposited films of TiB2 micropatterns compared to conventional tissue culture flasks

2020-03-19 | GSE135824 | GEO

Geometric control of the coronary artery endothelial cell transcriptome following serum starvation

Project description:Analysis of the effects of cell shape on human coronary artery endothelial cell transcription. The hypothesis is that defined alterations in endothelial cell shape uniquely affect the endothelial transcriptome. Human coronary artery endothelial cells were plated onto spatially defined micropatterns (Cytoo) forcing them to conform to Disc, Crossbow, H, Y, or L shapes. As a control, human coronary artery endothelial cells were plated on non-restrictive areas of the Cytoo growth plate. Cells were serum starved for 48 hours prior to mRNA collection.

2013-06-01 | GSE44167 | GEO

Dimethyl labeling-based quantitative PTM proteomic analysis of drought-regulated phosphoproteomes in soybean drought-tolerant cultivar

Project description:The isotopic dimethyl labeling-based quantitative post-translational modification proteomics was applied to study the phosphoproteomic changes associated with the drought responses of two contrasting soybean cultivars. A total of 9,457 non-redundant, unambiguous, label-independent and repeatable phosphopeptides were subsequently identified from six experimental replicates, corresponding to 9,234 of deduced unique phosphoproteins. These soybean proteins contain a total of 20,880 phosphosites, 84.9% of which were found to be novel phosphosites of the soybean phosphoproteome. The overly post-translationally modified proteins is 2.05% of the phosphoproteins identified. Most of these extensively phosphorylated proteins are photoreceptors, mRNA-, histone- and phospholipid-binding as well as serine/threonine/tyrosine protein kinase/phosphatases. The subgroup population distribution of phosphoproteins over the number of the phosphosite of phosphoprotein follows the exponential decay law, Y=4.13e^(-0.098X)-0.04. From 218 significantly regulated unique phosphopeptide groups, 188 significantly regulated phosphoproteins were found, and they are enriched in biological functions of water transport and deprivation, methionine metabolic process, photosynthesis/light reaction, and response to cadmium ion, osmotic stress and ABA under drought treatment. A total of 15 and 20 drought-tolerant cultivar significantly regulated phosphoproteins are transcription factors and protein kinases/phosphatases, respectively. More than 50% of these phosphoproteins are considered to be novel regulatory components, presumably mediating the development of the soybean drought tolerance under water deprivation process. The association of five randomly selected phosphoproteins with the drought response was corroborated with the qRT-PCR method.

2023-05-10 | PXD022806 | Pride

Dimethyl labeling-based quantitative PTM proteomic analysis of drought-regulated phosphoproteomes in soybean drought-tolerant cultivar

2021-09-09 | PXD022794 | Pride

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