Browse
Submit Data
Databases
API
Help

Dataset Information

134 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular profiling of vascular beds in vivo by DISDIVO

ABSTRACT: We developed a new technique named as Differential Systemic Decellularization in vivo (DISDIVO) for the molecular profiling of vascular beds throughout the body. This method can by applied to murine models. Thus, the data provided here correspond to mice vascular beds obtained in vivo by DISDIVO.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Vascular System

SUBMITTER: Aida Serra

LAB HEAD: Siu Kwan Sze

PROVIDER: PXD008794 | Pride | 2018-12-06

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	160928_DISDIVO_SDC10_1_01.raw	Raw
	160928_DISDIVO_SDC10_1_02.raw	Raw
	160928_DISDIVO_SDC10_1_03.raw	Raw
	160928_DISDIVO_SDC10_1_04.raw	Raw
	160928_DISDIVO_SDC10_1_05.raw	Raw

Items per page:

1 - 5 of 602

Similar Datasets

Characterization of proteome dynamics in individual vascular layers at the early stage of acute sepsis

Project description:In this study we developed a stable isotope labeled of mammals (SILAM) model coupled to the application of differential systemic decellularization in vivo (DISDIVO) to evaluate the molecular dynamics of whole organism vascular beds at the initial phase of acute sepsis. Three different vascular layers where characterized at the initial stage of sepsis, glycocalyx (GC), endothelial cells (ECs) and smooth muscle cells (SMCs).

2020-10-29 | PXD018274 | Pride

The Proteomic Landscape of in vitro Cultured Endothelial Cells across Vascular Beds

Project description:Blood vessel endothelial cells (EC) display heterogeneity across vascular beds, which is at the bases of organ specificity and anticipated to drive site-specific vascular pathology. It is assessed in vivo using transcriptomics, and in vitro using functional assays, but how proteomes compare across human in vitro cultured ECs remains incompletely characterized. We generated an in-depth human EC proteomic landscape (>8000 proteins) across 6 vascular beds and 2 in vitro models both in steady-state and upon IFNγ-induced inflammation. EC proteomes displayed a high similarity and organ specific proteins were limited. Variation between ECs and donors was mainly based in biological processes underlying proliferation and differentiation. BOECs and HUVECs represented the extremes of proteomic phenotypes. IFNγ responses were highly conserved across cellular sources. Harnessing dynamics in protein abundances we delineated interactor networks of VWF and VE-Cadherin. This EC landscape provides an extensive proteomic addition in studying EC biology and heterogeneity from an in vitro perspective.

2024-07-25 | PXD045899 | Pride

The in vivo endothelial cell translatome is highly heterogeneous across vascular beds

Project description:The in vivo endothelial cell translatome is highly heterogeneous across vascular beds

| PRJNA576617 | ENA

Actively translating transcriptome (Ribotag) profiling of mouse retinal endothelial cells during postnatal development

Project description:Angiogenesis, a process mediating the expansion of vascular beds in many physiological and pathological settings, requires dynamic changes in endothelial cell (EC) behavior. The molecular mechanisms governing EC activity during different phases of vascular growth, remodeling, maturation, and quiescence remain elusive. Here, we have employed actively translating transcriptome analysis of mouse retinal ECs for the characterization of dynamic gene expression changes during postnatal development and the identification of critical angiogenic factors.

2020-08-28 | E-MTAB-5087 | biostudies-arrayexpress

The in vivo endothelial cell translatome is highly heterogeneous across vascular beds (HUVEC RNAseq)

Project description:The in vivo endothelial cell translatome is highly heterogeneous across vascular beds (HUVEC RNAseq)

| PRJNA576634 | ENA

The in vivo endothelial cell translatome is highly heterogeneous across vascular beds (EC-TRAP RNAseq)

Project description:The in vivo endothelial cell translatome is highly heterogeneous across vascular beds (EC-TRAP RNAseq)

| PRJNA576635 | ENA

Vascular bed systematic profiling unravels endothelial and glycocalyx dysregulations in experimental high salt hypertension

Project description:Objective: Considerable evidence links dietary salt intake with the development of hypertension, left ventricular hypertrophy, and increased risk of stroke and coronary heart disease. Despite extensive epidemiological and basic science interrogation of the relationship between high salt (HS) intake and blood pressure, it remains unclear how HS impacts endothelial cell (EC) and vascular structure in vivo. This study aims to uncover the HS-induced vascular pathologies using a differential systemic decellularization in vivo (DISDIVO) approach.Approach and Results: We performed systematic molecular characterization of the endothelial glycocalyx (eGC) and EC proteomes in mice with HS (8%) diet-induced hypertension versus healthy control animals. Isolation of eGC and ECs compartments was achieved using the DISDIVO approach. Altered protein expression in hypertensive compared to normal mice was characterized by liquid chromatography tandem-mass spectrometry (LC-MS/MS). Proteomic results from eGC fractions revealed a significant downregulation of eGC and associated proteins in HS diet-induced hypertensive mice. Among 1696 proteins identified in this group, 723 were markedly downregulated while 168 were upregulated, bioinformatic analysis indicates critical damage and derangement of eGC layer. In the ECs fraction HS-induced hypertension significantly altered protein mediators of contractility, metabolism, mechanotransduction, renal functions, and coagulation cascades. In particular, we observed dysregulation of integrin subunits alpha2, alpha2b, and alpha5, which relay external signals to the actin cytoskeleton.Conclusion: These findings provide novel molecular insight on HS-induced structure changes in eGC and ECs that may increase cardiovascular risk and potentially guide the development of new diagnostics and therapeutic interventions.

2023-10-24 | PXD031228 | Pride

The in vivo endothelial cell translatome is highly heterogeneous across vascular beds (EC-TRAP RNAseq)

Project description:The interspersed anatomic distribution of endothelial cells (ECs) and their dependence on microenvironmental cues have been major challenges in studying EC function and response to (patho)physiological stimuli in vivo. Combining EC-specific translating ribosome affinity purification (EC-TRAP) with RNA sequencing provides an accurate in vivo snapshot of tissue-specific EC expression profiles, and maintains a high degree of sensitivity to detect low abundant transcripts while limiting changes in gene expression profiles due to enzymatic tissue dissociation required to generate single cell suspensions for FACS sorting or single cell analysis. In addition to demonstrating EC heterogeneity under physiologic conditions, the in vivo host response to lipopolysaccharide (LPS) revealed the induction of expression programs associated with a native defense response, with marked differences across vascular beds.

2019-10-10 | GSE138629 | GEO

Identification of common endothelial intronic circular RNAs from different vascular beds

Project description:Identification of common endothelial intronic circular RNAs from different vascular beds

| PRJEB48878 | ENA

Gene Expression Profiles in Intracranial Arteries and Abdominal Aortae

Project description:Gene expression profiles were used to identify pathways common to arteries from different vascular beds. We used the Illumina Sentrix-6 whole-genome microarray platform to identify genes that are expressed in common between abdominal aorta and intracranial arteries of the circle of Willis. Keywords: Characterization of expression in normal arteries from different vascular beds: intracranial arteries and abdominal aorta.

2008-04-04 | GSE7471 | 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