Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models

ABSTRACT: Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models

PROVIDER: PRJNA718272 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models

Project description:Maternal obesity during pregnancy is associated with neurodevelopmental disorder (NDD) risk. We utilized integrative multi-omics to examine maternal obesity effects on offspring neurodevelopment in rhesus macaques by comparison to lean controls and two interventions. Differentially methylated regions (DMRs) from longitudinal maternal blood-derived cell-free fetal DNA (cffDNA) significantly overlapped with DMRs from infant brain. The DMRs were enriched for neurodevelopmental functions, methylation-sensitive developmental transcription factor motifs, and human NDD DMRs identified from brain and placenta. Brain and cffDNA methylation levels from a large region overlapping mir-663 correlated with maternal obesity, metabolic and immune markers, and infant behavior. A DUX4 hippocampal co-methylation network correlated with maternal obesity, infant behavior, infant hippocampal lipidomic and metabolomic profiles, and maternal blood measurements of DUX4 cffDNA methylation, cytokines, and metabolites. We conclude that in this model, maternal obesity was associated with changes in the infant brain and behavior, and these differences were detectable in pregnancy through integrative analyses of cffDNA methylation with immune and metabolic factors.

2022-08-23 | GSE171064 | GEO

Cognitive-Behavioral Intervention for Worry, Uncertainty, and Insomnia for Cancer Survivors

Project description:This randomized clinical trial studies a cognitive-behavioral intervention to treat worry, uncertainty, and insomnia in cancer survivors. Counseling may reduce anxiety and insomnia as well as improve the well-being and quality of life of cancer survivors. This study also explores the neuro-immunologic correlates of anxiety and insomnia.

| 2150626 | ecrin-mdr-crc

Transcriptome sequencing of two macaques, crab-eating macaque and Indian rhesus macaque

Project description:Deep sequencing of mRNA from two macaques, crab-eating macaque and Indian rhesus macaque

2011-10-14 | GSE29629 | GEO

macaque

Project description:Methylome compariation of Tibetan macaque (M. thibetana) and Chinese rhesus macaque (M. mulatta lasiota)

| PRJNA357178 | ENA

Rhesus macaque aCGH

Project description:Sixteen individual rhesus macaque genomes were compared to a reference macaque genome (R354) on custom-designed sure-print 1M oligonucleotide microarray Agilent (Agilent Technologies) aCGH slide per manufacturer’s recommendations.

2011-05-11 | GSE19881 | GEO

Transcriptome sequencing of two macaques, crab-eating macaque and Indian rhesus macaque

Project description:Deep sequencing of mRNA from two macaques, crab-eating macaque and Indian rhesus macaque Analysis of ploy(A)+ RNA of different specimens:brain,ileum,kidney,liver,testes and white adipose for crab-eating macaque while brain,heart,,kidney,liver,quadriceps and testes for Indian rhesus macaque

2011-10-13 | E-GEOD-29629 | biostudies-arrayexpress

human macaque

Project description:Human and Macaque Transcriptome Analysis

| PRJNA397934 | ENA

Domestic dog lineages reveal genetic drivers of behavioral diversification

Project description:Selective breeding of domestic dogs has generated diverse breeds often optimized for performing specialized tasks. Despite the heritability of breed-typical behavioral traits, identification of causal loci has proven challenging due to the complexity of canine population structure. We overcome longstanding difficulties in identifying genetic drivers of canine behavior by developing an innovative framework for understanding relationships between breeds and the behaviors that define them utilizing genetic data for over 4,000 domestic, semi-feral and wild canids and behavioral survey data for over 46,000 dogs. We identify ten major canine genetic lineages and their behavioral correlates and show that breed diversification is predominantly driven by non-coding regulatory variation. We determine that lineage-associated genes converge in neurodevelopmental co-expression networks, identifying a sheepdog-associated enrichment for interrelated axon guidance functions. This work presents a scaffold for canine diversification that positions the domestic dog as an unparalleled system for revealing the genetic origins of behavioral diversity.

2022-12-07 | GSE213053 | GEO

multi-omic analysis

Project description:multi-omic analysis

| PRJNA790956 | ENA

Rhesus Macaque gene expression data obtained using Rhesus Macaque Array or Human Genome U133 Plus 2.0 Array

Project description:The primary goal of this study was to compare the performances of Rhesus Macaque Genome Array and Human Genome U133 Plus 2.0 Array with respect to the detection of differential expressions when rhesus macaque RNA extracts were labeled and hybridized. The secondary goal of this study was to investigate the effect of mismatch position on signal strength in Affymetrix GeneChips by examining naturally occurring mismatches between rhesus macaque transcripts and human probes from Human Genome U133 Plus 2.0 Array. The primary goal of this study was to compare the performances of Rhesus Macaque Genome Array and Human Genome U133 Plus 2.0 Array with respect to the detection of differential expressions when rhesus macaque RNA extracts were labeled and hybridized. The secondary goal of this study was to investigate the effect of mismatch position on signal strength in Affymetrix GeneChips by examining naturally occurring mismatches between rhesus macaque transcripts and human probes from Human Genome U133 Plus 2.0 Array. Keywords: cross hybridization

2008-06-15 | GSE9531 | 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