Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Determinants of genetic diversity in Neotropical salamanders (Plethodontidae: Bolitoglossini)

PROVIDER: PRJNA1023252 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR26292700_1.fastq.gz	Fastqsanger.gz
	SRR26292700_2.fastq.gz	Fastqsanger.gz
	SRR26292701_1.fastq.gz	Fastqsanger.gz
	SRR26292701_2.fastq.gz	Fastqsanger.gz
	SRR26292702_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 257

Similar Datasets

Project description:Low-coverage sequencing of neotropical salamanders

| PRJNA1267075 | ENA

Project description:Genomic gigantism is not associated with reduced selection efficiency in Neotropical salamanders

| PRJNA1076578 | ENA

Assessing Genetic Diversity of Asian Salamanders (Hynobiidae) lived in Far East Asia using Transcriptome data

Project description:Assessing Genetic Diversity of Asian Salamanders (Hynobiidae) lived in Far East Asia using Transcriptome data

| PRJNA566195 | ENA

Mechanisms underlying divergent responses of genetically distinct macrophages to IL-4 [ChIP-seq]

Project description:Mechanisms by which noncoding genetic variation influences gene expression remain only partially understood but are considered to be major determinants of phenotypic diversity and disease risk. Here, we evaluated effects of >50 million single-nucleotide polymorphisms and short insertions/deletions provided by five inbred strains of mice on the responses of macrophages to interleukin-4 (IL-4), a cytokine that plays pleiotropic roles in immunity and tissue homeostasis. Of >600 genes induced >2-fold by IL-4 across the five strains, only 26 genes reached this threshold in all strains. By applying deep learning and motif mutation analyses to epigenetic data for macrophages from each strain, we identified the dominant combinations of lineage-determining and signal-dependent transcription factors driving IL-4 enhancer activation. These studies further revealed mechanisms by which noncoding genetic variation influences absolute levels of enhancer activity and their dynamic responses to IL-4, thereby contributing to strain-differential patterns of gene expression and phenotypic diversity.

2021-06-19 | GSE159627 | GEO

Mechanisms underlying divergent responses of genetically distinct macrophages to IL-4 [ATAC-seq]

2021-06-19 | GSE159626 | GEO

Homo sapiens

Project description:Genetic Determinants of Hepatocellular Carcinoma

| PRJNA247815 | ENA

Genetic determinants of antidepressant response

Project description:Genetic determinants of antidepressant response

| PRJNA988901 | ENA

Genetic determinants of venetoclax resistance

Project description:Genetic determinants of venetoclax resistance

| PRJNA528105 | ENA

Genetic determinants of antidepressant response

Project description:Genetic determinants of antidepressant response

| PRJNA988902 | ENA

The genetic architecture of cell-type-specific cis-regulation [ATAC-seq]

Project description:Gene expression and complex phenotypes are determined by the activity of cis-regulatory elements. However, an understanding of how extant genetic variants affect cis-regulatory activity remains limited. Here, we investigated the consequences of cis-regulatory diversity using single-cell genomics of >0.7 million nuclei across 172 maize inbreds. Our analyses pinpointed cis-regulatory elements distinct to domesticated maize and how transposons rewired the regulatory landscape. We found widespread chromatin accessibility variation associated with >4.6 million genetic variants with largely cell-type-specific effects. Variants in TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR binding sites were the most prevalent determinants of chromatin accessibility. Finally, integration of genetic variants associated with chromatin accessibility, organismal trait variation, and population differentiation revealed how local adaptation has rewired regulatory networks in unique cellular context to alter maize flowering phenotypes.

2024-11-19 | GSE273478 | 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