Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-modal proteomic target discovery and orthogonol confirmation of preclinical diabetic retinopathy drug development biomarkers

ABSTRACT: The aim of this study was to identify proteomic alterations associated with functional dysregulation of the retina with diabetes that could eventually be used as surrogate endpoints in preclinical drug testing studies. A multi-modal approach of antibody (Luminex)-, electrophoresis (2-DIGE)-, and LC-MS (iTRAQ)-based quantitation methods was used to provide broad coverage of the retinal proteome. Transcriptional profiling through microarray analysis was also included to increase coverage and provide insight into potential regulation of protein expression changes at the mRNA level. The different technologies proved complementary, with limited coverage overlap between methods.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE20886 | GEO | 2010/06/01

SECONDARY ACCESSION(S): PRJNA124731

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Multi-modal proteomic target discovery and orthogonol confirmation of preclinical diabetic retinopathy drug development biomarkers

Project description:The aim of this study was to identify proteomic alterations associated with functional dysregulation of the retina with diabetes that could eventually be used as surrogate endpoints in preclinical drug testing studies. A multi-modal approach of antibody (Luminex)-, electrophoresis (2-DIGE)-, and LC-MS (iTRAQ)-based quantitation methods was used to provide broad coverage of the retinal proteome. Transcriptional profiling through microarray analysis was also included to increase coverage and provide insight into potential regulation of protein expression changes at the mRNA level. The different technologies proved complementary, with limited coverage overlap between methods. Diabetes was induced in Sprague-Dawley male rats (Charles River Laboratories, Wilmington, MA) by intraperitoneal injection of 65 mg/kg streptozotocin (STZ) (Sigma-Aldrich, St. Louis, MO) in 10mM sodium citrate pH 4.5 vehicle. Control rats were injected with an equal dose of vehicle only. Rats had free access to food and water, and were maintained on a 12 hour light/dark cycle. Blood glucose level and body weight were measured 6 days post-STZ or vehicle injection, and biweekly throughout the experiment. Only rats with blood glucose levels >250 mg/dL at the time of the original test and throughout the experiment were included in the diabetic groups. At the time of retina harvest, rats were given a lethal dose of pentobarbital, 100 mg/kg, (Ovation Pharmaceuticals Inc., Deerfield, IL) by intraperitoneal injection and sacrificed by decapitation. Retinas were rapidly excised snap- frozen in liquid nitrogen for subsequent experimentation.

2010-06-01 | E-GEOD-20886 | biostudies-arrayexpress

Multi-modal analysis of human Plasma-cells

Project description:Plasma cells are key components of humoral immunity by secreting antibodies and providing protection against pathogens. These cells can be of IgM, IgA, or IgG subclass and migrate to class-specific niches. Localization and rareness of plasma cells make it challenge to define subclass-specific molecular hallmarks. Here, we describe how in-vitro differentiation of peripheral B-cells results in antibody-secreting plasma cells. Using a single-cell multi-modal sequencing approach (RAID) we find subclass-specific hallmark transcriptional profiles, surface protein expression and signaling pathway activation.

2023-01-02 | GSE189953 | GEO

A single-cell multi-modal ATAC + gene expression sequencing in tendinopathy

Project description:As people become more motivated to exercise regularly and stay healthy, tendinopathy is a common problem in both active athletes and inactive individuals, which imposes a considerable social and economic burden. Here we provide a single-cell multi-modal ATAC + gene expression sequencing in tendinopathy. We have identified pathways and genes regulated in tendinopathy samples that will help contribute to further investigation into the development and molecular hallmarks of tendinopathy.

2023-05-31 | GSE213803 | GEO

Multi-modal single-cell sequencing of differentiating mESCs using Smart-seq3 and scATAC-seq

Project description:We report dynamics of X-chromosome upregulation (XCU) along X-chromosome inactivation (XCI) in mESCs as they differentiate into EpiSCs. F1 hybrid C57BL6/J × CAST/EiJ male and female mESCs were grown in serum/LIF conditions were differentiated using Fgf2 and Activin A for 1, 2, 4 and 7 days to induce random XCI in female cells. Multi-modal single-cell sequencing was performed using scATAC on nuclei and Smart-seq3 to assay chromatin accessibility and poly-A+ RNA expression, respectively. Allelic resolution is achieved using strain-specific SNPs in the data. We reveal dynamic balancing of X alleles as cells undergo XCI to compensate dosage imbalances between sexes as well as between X and autosomes. Furthermore, we reveal that female naïve mESCs with two active X chromosomes lack XCU on both alleles which has major implications for reprogramming studies. Finally, we estimate allelic transcriptional burst kinetics from the data and find that progressively increased burst frequencies underlies the XCU process.

2022-02-14 | E-MTAB-10714 | biostudies-arrayexpress

Characterizing the molecular regulation of inhibitory immune checkpoints with multi-modal single-cell screens.

Project description:The expression of inhibitory immune checkpoint molecules such as PD-L1 is frequently observed in human cancers and can lead to the suppression of T-cell mediated immune responses. Here we apply ECCITE-seq, a technology which combines pooled CRISPR screens with single-cell mRNA and surface protein measurements, to explore the molecular networks that regulate PD-L1 expression. We also develop a computational framework, mixscape, that substantially improves the signal-to-noise ratio in single-cell perturbation screens by identifying and removing confounding sources of variation. Applying these tools, we identify and validate regulators of PD-L1, and leverage our multi-modal data to identify both transcriptional and post-transcriptional modes of regulation. In particular, we discover that the kelch-like protein KEAP1 and the transcriptional activator NRF2, mediate levels of PD-L1 upregulation after IFNγ stimulation. Our results identify a novel mechanism for the regulation of immune checkpoints and present a powerful analytical framework for the analysis of multi-modal single-cell perturbation screens.

2020-06-29 | GSE153056 | GEO

Single-cell multi-modal profiling of proteins and chromatin accessibility using PHAGE-ATAC [ASAP_Phage_comparison]

Project description:Multi-modal measurements of single cell profiles are a powerful tool for characterizing cell states and regulatory mechanisms. While current methods allow profiling of RNA along with either readouts of chromatin or protein, connecting chromatin state to protein levels remains a barrier. Here, we developed PHAGE-ATAC, a method that uses engineered camelid single-domain antibody (‘nanobody’)-displaying phages for simultaneous single-cell measurement of surface proteins, chromatin accessibility profiles, and mtDNA-based clonal tracing through a single-cell and massively parallel droplet-based assay of transposase-accessible chromatin with sequencing (ATAC-seq). We demonstrate PHAGE-ATAC for multimodal analysis in primary human immune cells, for multiplexing, for intracellular protein analysis, and for the detection of SARS-CoV-2 spike protein. Finally, we construct a synthetic high-complexity phage library for selection of novel antigen-specific nanobodies that bind cells of particular molecular profiles, opening a new avenue for protein detection, cell characterization and screening with single-cell genomics.

2021-10-21 | GSE172923 | GEO

Single-cell multi-modal profiling of proteins and chromatin accessibility using PHAGE-ATAC [Intracellular_GFP]

2021-10-21 | GSE172921 | GEO

Single-cell multi-modal profiling of proteins and chromatin accessibility using PHAGE-ATAC [Spike_mix_pbmcs]

2021-10-21 | GSE172920 | GEO

L-Glyceraldehyde inhibits neuroblastoma cell 1 growth via a multi-modal mechanism on metabolism 2 and signaling

Project description:Glyceraldehyde (GA) is a 3-carbon monosaccharide that can be present in cells as a by-product of fructose metabolism. Bruno Mendel and Otto Warburg showed that the application of GA to cancer cells inhibits glycolysis and their growth. This phenomenon was extensively studied up until the 1970’s. However, the molecular mechanism by which this occurred was not clarified. We describe a novel multi-modal mechanism by which the L-isomer of GA (L-GA) inhibits cancer cell growth. L-GA induces significant changes in the metabolic profile, promotes oxidative stress and hinders nucleotide biosynthesis. GC-MS and 13C-labelling was employed to measure the flow of carbon through glycolytic intermediates under L-GA treatment. It was found that L-GA is a potent inhibitor of glycolysis due to its proposed targeting of NAD(H)-dependent reactions. This results in growth inhibition, apoptosis and a redox crisis in the cancer cell. It was confirmed that the redox mechanisms were modulated via L-GA by proteomic analysis. This elucidated a specific subset of proteins harbouring oxidoreductase and antioxidant activity. Analysis of nucleotide pools in L-GA treated cells depicted a remarkable and previously unreported phenotype. Nucleotide biosynthesis in neuroblastoma cells is significantly inhibited upon L-GA treatment. Through the application of the antioxidant N-acetyl-cysteine in conjunction with L-GA, metabolic inhibition was partially relieved. We present novel evidence for the multi-modal mechanism of L-GA action in neuroblastoma cells. Specifically, a simple sugar that inhibits the growth of cancer via dysregulating the fragile homeostatic environment inherent to the cancerous cell.

2024-05-21 | PXD048695 | Pride

Multi-modal analysis of the aging mouse lung at cellular resolution

Project description:Multi-modal analysis of the aging mouse lung at cellular resolution

| PRJNA514051 | ENA