Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Systematic metabolome analysis of hematopoietic cells identified uridine as a vital anti-aging factor in hematopoiesis

ABSTRACT: Systematic metabolome analysis of hematopoietic cells identified uridine as a vital anti-aging factor in hematopoiesis

PROVIDER: PRJNA1005171 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25628814_1.fastq.gz	Fastqsanger.gz
	SRR25628814_2.fastq.gz	Fastqsanger.gz
	SRR25628815_1.fastq.gz	Fastqsanger.gz
	SRR25628815_2.fastq.gz	Fastqsanger.gz
	SRR25628816_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Systematic metabolome analysis of hematopoietic cells identified uridine as a vital anti-aging factor in hematopoiesis

Project description:In this study, we employed immunomagnetic enrichment and fluorescence-activated cell sorting (FACS) to isolate 15 hematopoietic cell types, over 9×108 hematopoietic cells from 200 young and 150 aged mice, ranging from HSPCs to mature blood cells. UPLC-MS/MS untargeted analysis identified about 2000 metabolites in each cell population, which contributed to define cell-specific signatures and depict aging landscape of blood cells. We further validated our findings by experimentally screening metabolites delaying senescence and identified uridine as potential regulator to rejuvenate aged HSPCs. To enable public access to our dataset, we have constructed an open-source platform (MetaB, www.XXX.com) for easy data browsing and analysis. Collectively, our study developed a solid reference benchmark for metabolic studies in hematopoietic system and provided additional clarity to the mechanisms underlying hematopoietic aging.

2024-06-01 | GSE240731 | GEO

Leukemic hematopoiesis

Project description:Leukemic hematopoiesis

| PRJNA881262 | ENA

Mycorrhizal Metabolome: L. bicolor :: P. trichocapra

Project description:Mycorrhizae, symbiotic interactions between soil fungi and tree roots, are ubiquitous in terrestrial ecosystems. The fungi contribute phosphorous, nitrogen and mobilized nutrients from organic matter in the soil and in return the fungus receives photosynthetically-derived carbohydrates. This union of plant and fungal metabolisms is the mycorrhizal metabolome. Understanding this symbiotic relationship at a molecular level provides important contributions to the understanding of forest ecosystems and global carbon cycling. We generated next generation short-read transcriptomic sequencing data from fully-formed ectomycorrhizae between Laccaria bicolor and aspen (Populus tremuloides) roots. The transcriptomic data was used to identify statistically significantly expressed gene models using a bootstrap-style approach, and these expressed genes were mapped to specific metabolic pathways. Integration of expressed genes that code for metabolic enzymes and the set of expressed membrane transporters generates a predictive model of the ectomycorrhizal metabolome. Results indicate the specific compounds glycine, glutamate, and allantoin are synthesized by L. bicolor and that these compounds or their metabolites may be used for the benefit of aspen in exchange for the photosynthetically-derived sugars fructose and glucose.The analysis illustrates an approach to generate testable biological hypotheses to investigate the complex molecular interactions that drive ectomycorrhizal symbiosis. These models are consistent with experimental environmental data and provide insight into the molecular exchange processes for organisms in this complex ecosystem. The method used here for predicting metabolomic models of mycorrhizal systems from deep RNA sequencing data can be generalized and is broadly applicable to transcriptomic data derived from complex systems. Fully formed L.bicolor::P.trichocapra mycorrhizae in duplicate

2011-03-25 | E-GEOD-28157 | biostudies-arrayexpress

Musashi 2 regulates normal hematopoiesis and accelerates leukemogenesis

Project description:This SuperSeries is composed of the following subset Series: GSE16432: MSI2 regulates hematopoiesis and accelerates leukemogenesis GSE22773: Musashi 2 regulates normal hematopoiesis and accelerates leukemogenesis (LK and MS12-inducible) GSE22774: Musashi 2 regulates normal hematopoiesis and accelerates leukemogenesis (LSK and LK) GSE22775: Musashi 2 regulates normal hematopoiesis and accelerates leukemogenesis (Leukemia cell lines) Refer to individual Series

2010-07-21 | E-GEOD-22778 | biostudies-arrayexpress

RUNX1B expression distinguishes megakaryocytic and erythroid lineage fate in adult hematopoiesis

Project description:The Core Binding Factor (CBF) protein RUNX1 is a master regulator of definitive hematopoiesis, crucial for hematopoietic stem cell (HSC) emergence during ontogeny, which also plays vital roles in adult mice, in regulating the correct specification of numerous blood lineages. Akin to the other mammalian Runx genes, Runx1 has two promoters P1 (distal) and P2 (proximal) which generate distinct protein isoforms. The activities and specific relevance of these two promoters in adult hematopoiesis remain to be fully elucidated. Utilizing a dual reporter model we demonstrate here that the distal P1 promoter is broadly active in adult hematopoietic stem and progenitor cell (HSPC) populations. By contrast the activity of the proximal P2 promoter is more restricted and its upregulation, in both the immature Lineage- Sca1high cKithigh (LSK) and bipotential Pre-Megakaryocytic/Erythroid Progenitor (PreMegE) populations, coincides with a loss of erythroid specification. Accordingly the PreMegE population can be prospectively separated into âpro-erythroidâ and âpro-megakaryocyteâ populations based on Runx1 P2 activity. Comparative gene expression analyses between Runx1 P2+ and P2- populations indicated that the level of CD34 expression could substitute for P2 activity to distinguish these two cell populations in wild type (WT) bone marrow (BM). Prospective isolation of these two populations will provide the opportunity to further investigate and define the molecular mechanisms involved in megakaryocytic/erythroid (Mk/Ery) cell fate decisions. mRNA profiles of wild type (WT), Runx1 P2-hCD4+ (P2+) and Runx1 P2-hCD4- (P2-) Bone marrow Pre-Megakryocyte/Erythroid (PreMegE) progenitors were generated from young adult (12-16 weeks) mice by deep sequencing, in triplicate, using Illumina NextSeq 500.

2016-01-04 | E-GEOD-68958 | biostudies-arrayexpress

The Role of Uridine Glucuronosyl transferase 2B28 (UGT2B28) in Prostate Cancer Progression

Project description:The Role of Uridine Glucuronosyl transferase 2B28 (UGT2B28) in Prostate Cancer Progression

| PRJNA837779 | ENA

Gut microbiota-metabolome

Project description:Gut microbiota-metabolome changes in children with diarrhea by Diarrheagenic E. coli

| PRJEB37672 | ENA

Large-scale multi-species survey of metabolome and lipidome

Project description:This dataset was generated with the goal of comparative study of gene expression in three brain regions and two non-neural tissues of humans, chimpanzees, macaque monkeys and mice. Using this dataset, we performed studies of gene expression and gene splicing evolution across species and search of tissue-specific gene expression and splicing patterns. We also used the gene expression information of genes encoding metabolic enzymes in this dataset to support a larger comparative study of metabolome evolution in the same set of tissues and species. 120 tissue samples of prefrontal cortex (PFC), primary visual cortex (VC), cerebellar cortex (CBC), kidney and skeletal muscle of humans, chimpanzees, macaques and mice. The data accompanies a large set of metabolite measurements of the same tissue samples. Enzyme expression was used to validate metabolite measurement variation among species.

2014-05-30 | E-GEOD-49379 | biostudies-arrayexpress

Control of hematopoiesis by Cbx2

Project description:Control of hematopoiesis by Cbx2

| PRJNA742429 | ENA

MEIS1 regulates hematopoiesis in hPSCs

Project description:MEIS1 regulates hematopoiesis in hPSCs

| PRJNA357013 | ENA