Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

ABSTRACT: Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

PROVIDER: PRJNA503391 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8144840_1.fastq.gz	Fastqsanger.gz
	SRR8144840_2.fastq.gz	Fastqsanger.gz
	SRR8144841_1.fastq.gz	Fastqsanger.gz
	SRR8144841_2.fastq.gz	Fastqsanger.gz
	SRR8144842_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

Project description:Acute myeloid leukaemia (AML) affects children and adults of all ages. AML remains one of the major causes of death in children with cancer and for children with AML relapse is the most common cause of death. By modelling AML in vivo we demonstrate that AML is discriminated by the age of the cell of origin. Young cells give rise to myeloid, lymphoid or mixed phenotype acute leukaemia, whereas adult cells give rise exclusively to AML, with a shorter latency. Unlike adult, young AML cells do not remodel the bone marrow stroma. Transcriptional analysis distinguishes young AML by the upregulation of immune pathways. Analysis of human paediatric AML samples recapitulates a paediatric immune cell interaction gene signature, highlighting two genes, RGS10 and FAM26F as prognostically significant. This work advances our understanding of paediatric AML biology, and provides murine models that offer the potential for developing paediatric specific therapeutic strategies.

2018-11-04 | GSE122066 | GEO

Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

Project description:Acute myeloid leukaemia (AML) affects children and adults of all ages. AML remains one of the major causes of death in children with cancer and for children with AML relapse is the most common cause of death. Here, by modelling AML in vivo we demonstrate that AML is discriminated by the age of the cell of origin. Young cells give rise to myeloid, lymphoid or mixed phenotype acute leukaemia, whereas adult cells give rise exclusively to AML, with a shorter latency. Unlike adult, young AML cells do not remodel the bone marrow stroma. Transcriptional analysis distinguishes young AML by the upregulation of immune pathways. Analysis of human paediatric AML samples recapitulates a paediatric immune cell interaction gene signature, highlighting two genes, RGS10 and FAM26F as prognostically significant. This work advances our understanding of paediatric AML biology, and provides murine models that offer the potential for developing paediatric specific therapeutic strategies.

2018-06-14 | GSE107662 | GEO

Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

Project description:Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias

| PRJNA420990 | ENA

Age-specific biological and molecular profiling distinguishes paediatric from adult acute myeloid leukaemias.

Project description:Acute myeloid leukaemia (AML) affects children and adults of all ages. AML remains one of the major causes of death in children with cancer and for children with AML relapse is the most common cause of death. Here, by modelling AML in vivo we demonstrate that AML is discriminated by the age of the cell of origin. Young cells give rise to myeloid, lymphoid or mixed phenotype acute leukaemia, whereas adult cells give rise exclusively to AML, with a shorter latency. Unlike adult, young AML cells do not remodel the bone marrow stroma. Transcriptional analysis distinguishes young AML by the upregulation of immune pathways. Analysis of human paediatric AML samples recapitulates a paediatric immune cell interaction gene signature, highlighting two genes, RGS10 and FAM26F as prognostically significant. This work advances our understanding of paediatric AML biology, and provides murine models that offer the potential for developing paediatric specific therapeutic strategies.

| S-EPMC6290074 | biostudies-literature

Purified intestinal epithelial cells from foetal and paediatric gut

Project description:CD326+ sorted intestinal epithelial cells from foetal (9-12 wk gestational age) small bowel and large bowel, CD326+ sorted intestinal epithelial cells from mucosal biopsies of paediatric (5-15 years of age) terminal illeum, ascending colon and sigmoid colon FPG=Foetal proximal gut, FDG=Foetal distal gut, PTI=paediatric terminal ileum, PAC=paedaitric ascending colon, PSC=paediatric sigmoid colon

2015-09-15 | E-MTAB-3704 | biostudies-arrayexpress

Purified intestinal epithelial cells from foetal and paediatric gut

2015-09-15 | E-MTAB-3703 | biostudies-arrayexpress

Ileal S100A9 expression distinguishes Crohn’s disease patients by age at diagnosis

Project description:Ileal S100A9 expression distinguishes Crohn’s disease patients by age at diagnosis

| PRJNA636953 | ENA

MR Imaging Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer

Project description:MR Imaging Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer

| PRJNA614472 | ENA

MicroRNA expression profiles for paediatric brain tumours

Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify microRNA profiles

2015-12-10 | GSE42657 | GEO

Gene expression profiles for paediatric brain tumours

Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify gene expression profiles

2013-07-29 | GSE42656 | 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