Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Physically Isolated OptiPrep (TM) Fractions for exRNA Analysis

ABSTRACT: Physically Isolated OptiPrep (TM) Fractions for exRNA Analysis

PROVIDER: PRJNA510087 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Physically Isolated OptiPrep (TM) Fractions for exRNA Analysis

Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. In order to detect differences in density between cargo types, cushioned density gradient ultracentrifugation (C-DGUC) of serum and plasma was performed using OptiPrem (TM) density gradient.

2018-12-15 | GSE123864 | GEO

Lipoprotein Particle (LPP) exRNA Profiles Isolated from Plasma

Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To gain further insight on the biological nature of these cargo types, we correlated exRNA Atlas cargo profiles with a variety of other RNA-seq profiles. This study focuses on lipoprotein particle (LPP) exRNA profiles obtained via sequential density ultracentrifugation (SD-UC) and fast protein liquid chromatography (FPLC).

2018-12-20 | GSE124131 | GEO

Lipoprotein Particle (LPP) exRNA Profiles Isolated from Plasma

Project description:Lipoprotein Particle (LPP) exRNA Profiles Isolated from Plasma

| PRJNA510819 | ENA

AGO2 Plasma exRNA Profiles

Project description:The Michael J. Fox Foundation (MJFF) collected AGO2 exRNA samples for distribution to interested individuals.

2018-12-22 | GSE124269 | GEO

Gene expression of the human trabecular meshwork (TM) of the eye

Project description:We investigated the gene expression of the human TM. We isolated TM cells from healthy human donor eyes. Next, we performed RNA isolation, amplification, labeling and hybridization against 44k Agilent microarrays.

2013-09-12 | GSE50784 | GEO

AGO2 Plasma exRNA Profiles

Project description:AGO2 Plasma exRNA Profiles

| PRJNA511445 | ENA

Methylobacterium sp. TM 27 strain:TM 27

Project description:Methylobacterium sp. TM 27 strain:TM 27 Genome sequencing

| PRJNA347036 | ENA

Assessment of RNA Isolation Kit Biases Toward Preferential Detection of exRNA Cargo Types

Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To determine whether different RNA isolation kits biased detection of certain exRNA cargo types, an integrative analysis was performed using pooled plasma and serum samples, where 10 different RNA isolation kits were applied.

2018-12-15 | GSE123865 | GEO

Ultracentifugation and nanoscale deterministic lateral displacement (nanoDLD) of samples for exRNA analysis

Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To gain further insight on the biological nature of these cargo types, we correlated exRNA Atlas cargo profiles with a variety of other RNA-seq profiles. This study focuses on those samples obtained via ultracentrifugation and nanoscale deterministic lateral displacement (nanoDLD).

2018-12-13 | GSE123736 | GEO

Unique extracellular RNA profiles in different fractions of plasma

Project description:Circulating extracellular RNAs (exRNAs) have great promise as novel clinically plasma-based biomarkers for cancer diagnosis and prognosis. knowledge of the difference or association between these different sources of exRNAs is very limited. We performed a sequential physical and biochemical precipitation to receive 4 plasma fractions (platelets and cell debris, Thrombin-treated fraction, extracellular vesicles and supernatant) from each plasma sample. After total RNA extraction, we made ligation-free libraries and performed RNA-seq to evaluate full spectrum of RNA abundance in each fraction. All RNAs were included without size selection during the library preparation. We utilized a successive stepwise alignment strategy to map the RNA sequences to different RNA categories. We found that each plasma fraction had its own unique distribution of RNA species. Hierarchical cluster analysis showed similarity in samples with same fraction and significant differences between different fractions. In addition, we also observed abundance difference of unique transcript. Furthermore, a considerable proportion of exogenous RNAs and novel predicted miRNAs in all plasma fractions were detected. These results demonstrate that thorough inspection of all plasma fractions is necessary for exRNA-based biomarker study and appropriate sampling processes is needed for illustrating the complexity of plasma-based EVs study.

2021-06-07 | GSE145767 | 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