Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of HAECWT and HAECSAHH-KO

ABSTRACT: Objective: the next generation sequencing (NGS) has revolutionized the system-based analysis of cellular pathways. The purpose of this study was to explore the Gene expression profiling changes caused by SAHH knockout in atherosclerosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE288895 | GEO | 2026/02/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of ApoE-/-/SAHHWT, ApoE-/-/SAHH+/- mice and ApoE-/-/SAHH+/- +Betaine mice [WGBS]

Project description:Objective: the next generation sequencing (NGS) has revolutionized the system-based analysis of cellular pathways. The purpose of this study was to explore the mechanism of methylation changes caused by SAHH knockout and dietary betaine addition in atherosclerosis.

2021-10-22 | GSE186253 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of ApoE-/-/SAHHWT, ApoE-/-/SAHH+/- mice and ApoE-/-/SAHH+/- +Betaine mice [RNA-seq]

2021-10-22 | GSE186252 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

2014-08-06 | E-GEOD-60119 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of GlyTranscriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived consortium GLY transcriptome profiling (RNA-seq) and to evaluate protocols for optimal high-throughput data analysis

2021-03-17 | GSE169004 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of miRNA

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare miRNA expressions of pear in two different conditions.

2017-01-26 | GSE80747 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived strain JSTW transcriptome profiling (RNA-seq) and to evaluate protocols for optimal high-throughput data analysis

2021-04-27 | GSE173379 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of IBP Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived strain GCY transcriptome profiling (RNA-seq) and to evaluate protocols for optimal high-throughput data analysis

2021-09-08 | GSE183578 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

2014-08-06 | GSE60119 | GEO

Next-generation sequencing facilitates quantitative analysis of control and Lhx6-/- molar transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived molar transcriptome profiling (RNA-seq) between control and Lhx6-/- mice to identify the potential target of Lhx6.

2020-08-14 | GSE156235 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of interferon stimulated MEFs Transcriptomes [RNA-Seq]

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived interferon-stimulated MEF cells transcriptome profiling (RNA-seq).

2018-08-28 | GSE89349 | 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