Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-PROT-60

ABSTRACT: Quantitative variability of 342 plasma proteins in a human twin population

PROVIDER: E-PROT-60 | ExpressionAtlas | 2021-05-25

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DIAMSstats_QC.pdf	Pdf
	E-PROT-60-analysis-methods.tsv	Tabular
	E-PROT-60-apply_fixes_zooma_mappings.done	Other
	E-PROT-60-configuration.xml	Xml
	E-PROT-60-factors.xml	Xml

Items per page:

1 - 5 of 14

Similar Datasets

Definition of human cardiac progenitor cell plasma membrane signature: comparative genomic and proteomics analysis with human mesenchymal stem cells

Project description:Adult cardiac progenitor/stem cells (CPC/CSC) are multipotent resident populations involved in cardiac homeostasis and heart repair. Assisted by complementary RNAseq analysis, we defined the proteome fraction associable to specific CPC functions by comparison with human mesenchymal stem cells (MSC), the reference population for cell therapy. Label-free proteomics analysis identified 526 proteins expressed differentially in CPC. Quantitative iTRAQ analysis confirmed differential expression of a substantial proportion of these proteins expressed specifically in CPC relative to MSC. Systems biology analysis defined a clear overrepresentation of several categories related to enhanced angiogenic potential. The CPC plasma membrane compartment is comprised by 1595 proteins including a minimal signature of 167 proteins expressed preferentially in CPC. Of these core CPC functions, we selected a panel of 15 predicted cell surface markers and validated high differential expression of CDH5, CD200 and F11R in CPC.

2017-10-31 | GSE84070 | GEO

Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice

Project description:Microglia are highly responsive to their local environment and signals from the periphery. Blood plasma proteins readily permeate the healthy brain parenchyma. However, whether microglia are responsive to such proteins is unclear. Here, we identify a stable population of microglia takes up plasma proteins in a region-specific manner in healthy brains. To understand these microglia at the single cell transcriptomic level and correlate their transcriptome with plasma uptake intensity, we sorted plasma-high, plasma-low, and plasma-negative microglia from young mice (3-month-old) and perform plate-based scRNA-seq.

2024-10-15 | GSE264105 | GEO

Bulk RNA-seq of plasma-positive microglia and plasma-negative microglia from hypothalamus region in young mice

Project description:Microglia are highly responsive to their local environment and signals from the periphery. Blood plasma proteins readily permeate the healthy brain parenchyma. However, whether microglia are responsive to such proteins is unclear. Here, we identify a stable population of microglia takes up plasma proteins in a region-specific manner in healthy brains. To understand the difference of these two populations at the transcriptomic level, we sorted plasma-positive microglia and plasma-negative microglia from hypothalamus region of young mice (3-month-old).

2024-10-15 | GSE263833 | GEO

Droplet-based scRNA-seq of plasma-positive microglia and plasma-negative microglia from hypothalamus region in young mice

Project description:Microglia are highly responsive to their local environment and signals from the periphery. Blood plasma proteins readily permeate the healthy brain parenchyma. However, whether microglia are responsive to such proteins is unclear. Here, we identify a stable population of microglia takes up plasma proteins in a region-specific manner in healthy brains. To understand these two populations at the single cell transcriptomic level, we sorted plasma-positive microglia and plasma-negative microglia from hypothalamus region of young mice (3-month-old) and perform droplet-based scRNA-seq.

2024-10-15 | GSE264113 | GEO

The UniProtKB/Swiss-Prot Tox-Prot program: A central hub of integrated venom protein data.

Project description:Animal toxins are of interest to a wide range of scientists, due to their numerous applications in pharmacology, neurology, hematology, medicine, and drug research. This, and to a lesser extent the development of new performing tools in transcriptomics and proteomics, has led to an increase in toxin discovery. In this context, providing publicly available data on animal toxins has become essential. The UniProtKB/Swiss-Prot Tox-Prot program (http://www.uniprot.org/program/Toxins) plays a crucial role by providing such an access to venom protein sequences and functions from all venomous species. This program has up to now curated more than 5000 venom proteins to the high-quality standards of UniProtKB/Swiss-Prot (release 2012_02). Proteins targeted by these toxins are also available in the knowledgebase. This paper describes in details the type of information provided by UniProtKB/Swiss-Prot for toxins, as well as the structured format of the knowledgebase.

| S-EPMC3393831 | biostudies-literature

Homo sapiens

Project description:Real-time quantitative PCR analysis of human plasma miRNA expresson

| PRJNA168494 | ENA

Quantitative variability of 342 plasma proteins in a human twin population

Project description:The human plasma proteome is clinically highly significant and has been studied extensively because it is thought that its molecular makeup provides a window into the health state of an individual. However, neither the quantitative variability of the plasma proteome nor the origins of the variation are known. To determine the relative contributions of heritability, environmental and longitudinal factors to plasma proteome variability we systematically decomposed the biological variance of 1904 peptides defining 342 unique plasma protein profiles from 232 plasma samples that were collected with 2-7 year intervals from monozygotic (MZ) and dizygotic (DZ) twins. The data were collected via SWATH mass spectrometry (SWATH-MS), an emerging technology characterized by high degree of reproducibility and quantitative accuracy. The data indicate abundance variability is an important feature for different proteins among population, that the abundances of about 20% of plasma protein are considerably heritable, and that the degrees of genetic control and aging effects vary across specific biological processes. Moreover, we identified 13 cis- SNPs significantly influencing the abundance level of specific plasma proteins. These results substantially extend the understanding of the impact of heritability on the human proteomic dynamics and therefore have implications for the effective design of plasma-based biomarker studies.

2016-07-20 | MSV000079937 | MassIVE

Breast Cancer Profiling Project - Proteomics

Project description:Quantitative proteomics on 65 human-derived breast cancer cell lines to a depth of ~13,000 proteins.

2022-09-29 | LDS-1614 | LINCS

Quantitative variability of 342 plasma proteins in a human twin population

2015-01-05 | PXD001064 | Pride

A TMT- based comparative quantitative proteomics analysis was used to reveal the changes of plasma proteomics profiles between longevity subjects and non-longevity area participants in order to identify plasma proteins associated with glucose metabolism in longevity population

Project description:High blood glucose level is one of the main characteristics of diabetes mellitus (DM). It is speculated that longevity families may have certain advantages in blood glucose regulation. But till now, limited information on these items is reported. In this study, a TMT- based comparative quantitative proteomics analysis was used to reveal the changes of plasma proteomics profiles between longevity subjects and non-longevity area participants in order to identify plasma proteins associated with glucose metabolism in longevity population and to explore the characteristics of blood glucose regulation in longevity population

2023-03-11 | PXD032932 | Pride