Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ecological quality status predictive performance of five barcoding genes

ABSTRACT: The study compares the performance of five barcoding genes for ecological quality status inference in marine environments. The genes include one bacterial, one foraminiferal and three eukaryotes ones,

PROVIDER: PRJEB23641 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Discovery of DYRK1A dependent phosphorylation in mouse embryonic heart

Project description:The Dp1Tyb mouse model for Down syndrome contains a duplication of 23Mb of mouse chromosome 16 (Mmu16) that is orthologous to human chromosome 21 (Hsa21). This region contains 145 coding genes, and thus these genes are present in 3 copies. Dp1Tyb mice display congenital heart defects, similar to the ones seen in people with Down syndrome. These defects include ventricular and atrio-ventricular septal defects and are seen at embryonic day 14.5 (E14.5) of gestation. One of the 145 genes present in 3 copies in Dp1Tyb mice codes for a kinase called DYRK1A. We found that by crossing Dp1Tyb mice with mice carrying a heterozygous Dyrk1a loss of function allele, thereby reducing the dosage of the Dyrk1a gene from 3 to 2 copies, we rescue the congenital heart defects. Thus 3 copies of Dyrk1a are required to cause heart defects, and, presumably, increased DYRK1A protein is required for the heart defects. We compared the phosphoproteome in Dp1Tyb versus Dp1TybDyrk1a+/+/- embryonic hearts in order to discover alterations in phosphoproteins that could pinpoint molecular mechanisms that give rise to the congenital heart defects. The two strains (Dp1Tyb and Dp1TybDyrk1a+/+/-) differ only in the copy number of Dyrk1a (3 v 2) and thus differences in phosphoproteins would include both direct and indirect targets of DYRK1A activity.

2024-02-01 | PXD013053 | Pride

Foraminiferal Diversity

Project description:Deep-sea foraminiferal diversity

| PRJEB2682 | ENA

DNA barcoding of recently diverged species: relative performance of matching methods.

Project description: Not available

| S-EPMC3260286 | biostudies-literature

Limited performance of DNA barcoding in a diverse community of tropical butterflies.

Project description: Not available

| S-EPMC3227132 | biostudies-literature

Comparative performance of the 16S rRNA gene in DNA barcoding of amphibians.

Project description: Not available

| S-EPMC555853 | biostudies-literature

Sub-chronic peripheral CB1R blockade enhances cognitive performance and induces hippocampal synaptic plasticity changes in mice

Project description:Using RNA sequencing, we perform gene expression profile of five male mice treated with vehicle and five male mice sub-chronically treated with AM6545 at a dose of 1 mg/kg. To evaluate hippocampal modifications promoted by peripheral CB1R modulation, we analyze at transcript level hippocampal synaptoneurosomes fractions. This analysis revealed changes in the transcript usage of N-methyl-D-aspartate (NMDA) receptor 1 isoforms in AM6545 treated mice compared with vehicle-treated ones.

2023-12-01 | GSE245307 | GEO

Ecological niche modelling and nDNA sequencing support a new, morphologically cryptic beetle species unveiled by DNA barcoding.

Project description: Not available

| S-EPMC3036709 | biostudies-literature

Socio-ecological factors determine crop performance in agricultural systems.

Project description: Not available

| S-EPMC7060324 | biostudies-literature

Photoperiod induction of endodormancy in Vitis riparia axillary buds.

Project description:This study compares age matched V. riparia axillary buds at one time point during long photoperiod (paradormancy maintenance) and short photoperiod (endodormancy induced). Keywords: endodormancy, photoperiod, paradormancy, grape, axillary bud

2005-08-05 | GSE3052 | GEO

Sequencing Universal Human Reference RNA by Smart-seq and early barcoding library preparation methods

Project description:Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification. UHRR 10 and 12 replicates for Smart-seq2 and UMI-seq library preparation methods, respectively.

2016-05-13 | E-GEOD-75823 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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