Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bulk RNA-seq of organoids derived from young and old mice livers

ABSTRACT: Bulk RNA-seq of organoids derived from young and old mice livers

PROVIDER: PRJEB48152 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

scRNA-seq of organoids derived from young and old mice livers

Project description:scRNA-seq of organoids derived from young and old mice livers

| PRJEB48427 | ENA

Bulk RNA-seq of young and aged livers following influenza A virus infection

Project description:Aging is known to alter the host repsonse to influenza infection. Here, we use bulk RNA sequencing (bulk RNA-seq) to identify cellular changes in the livers of young (16-week-old) and aged (80-week-old) mice following influenza infection.

2023-09-05 | GSE202323 | GEO

Bulk ATAC-seq of primate cerebral organoids

Project description:Bulk ATAC-seq was performed on human, chimpanzee, bonobo, and macaque stem cell-derived cerebral organoids. ATAC-seq was performed on day 60 (2 months old) and day 120 (4 months old) cerebral organoids.

2019-10-16 | E-MTAB-8228 | biostudies-arrayexpress

RNA-seq reveals differences in liver gene expression rhythms between young and old mice

Project description:Purpose: We used RNA-seq to compare daily rhythms of gene expression in livers of young and old mice. Methods: Livers of young and old mice were processed for RNA-seq at 4-h interval across 2 days. Gene expression level was analyzed by hisat2 and StringTie. Results: We obtained ~10 million high quality sequencing reads per time point per sample after quality control and alignment. Gene expression levels of ~19,000 transcripts were obtained for both age groups. We found genome-wide differenes in gene expression level as well as rhythms in gene expression. Conclusions: Our study revealed genomwide differences in the level and rhythm of liver gene expression between young and old mice.

2019-12-31 | GSE113745 | GEO

Bulk RNA-seq of young and aged livers following influenza A virus infection

Project description:Bulk RNA-seq of young and aged livers following influenza A virus infection

| PRJNA835465 | ENA

Bulk RNA-seq of young and aged lungs following influenza A virus infection

Project description:Aging is known to alter the host repsonse to influenza infection. Here, we use bulk RNA sequencing (bulk RNA-seq) to identify cellular changes in the lungs of young (16-week-old) and aged (80-week-old) mice following influenza infection.

2023-09-05 | GSE202324 | GEO

Integrated Transcriptome and Proteome Analyses Reveal Organ-Specific Proteome Deterioration in Old Rats

Project description:Aging is associated with the decline of protein, cell, and organ function. Here, we use an integrated approach to characterize gene expression, bulk translation, and cell biology in the brains and livers of young and old rats. We identify 468 differences in protein abundance between young and old animals. The majority are a consequence of altered translation output, that is, the combined effect of changes in transcript abundance and translation efficiency. In addition, we identify 130 proteins whose overall abundance remains unchanged but whose sub-cellular localization, phosphorylation state, or splice-form varies. While some protein-level differences appear to be a generic property of the rats’ chronological age, the majority are specific to one organ. These may be a consequence of the organ’s physiology or the chronological age of the cells within the tissue. Taken together, our study provides an initial view of the proteome at the molecular, sub-cellular, and organ level in young and old rats. The corresponding dataset in Gene Expression Omnibus is <http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66715">GSE66715</a>.

2015-10-05 | PXD002467 | Pride

mRNA expression of young, mid-old, and old fibroblasts

Project description:mRNA expression of young, mid-old, and old fibroblasts

| PRJNA971965 | ENA

TMT isobaric profiling of young versus old haematopoietic stem cells

Project description:Mass spectrometry was performed with an Orbitrap Fusion Tribrid mass spectrometer (Thermo Scientific) interfaced with an UltiMate 3000 Binary RSLCnano System (Dionex). Proteome Discoverer v.1.4 (Thermo Scientific) with SEQUEST HT search engines was used for the spectra-preprocessing and HCD MS2 spectra were used for peptide identification and quantitation based on TMT reporter ions. TMT isobaric comparison of old versus young haematopoietic stem and progenitor cells. Young 1 and Young 2 are samples 126 and 128 of dataset UTH_1. Old 1 and Old 2 are samples 129 and 130 of UTH_1. Young 3 is sample 131 and Old 3 is sample 130 of dataset UTH_4.

2023-10-16 | MSV000093126 | MassIVE

Transcriptional profiling of young and old mouse macrophages interacting with nanoparticles [Bulk RNA-seq]

Project description:The mononuclear phagocytic system is integral to the clearance of nanotherapeutics. However, the precise mechanisms involved in the phagocytic clearance of nanotherapeutics, and how age-associated changes in innate immune cells affect this clearance, are poorly understood. We found that the ability of professional phagocytes to take up nanoparticles diminishes with age. Bulk RNA sequencing of bone marrow derived macrophages and single cell RNA sequencing of liver macrophages derived from young and old mice was carried out to investigate the gene expression changes that may be assiciated with the changed ability of macrophages to uptake nanoparticles.

2023-07-18 | GSE205826 | 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