Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effects of fat body microRNA miR-305-5p knockdown on brain and fat body gene expression in Apis mellifera

ABSTRACT: Effects of fat body microRNA miR-305-5p knockdown on brain and fat body gene expression in Apis mellifera

PROVIDER: PRJNA825517 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18714400_1.fastq.gz	Fastqsanger.gz
	SRR18714400_2.fastq.gz	Fastqsanger.gz
	SRR18714500_1.fastq.gz	Fastqsanger.gz
	SRR18714500_2.fastq.gz	Fastqsanger.gz
	SRR18714401_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 276

Similar Datasets

Effects of fat body microRNA miR-305-5p knockdown on brain and fat body gene expression in Apis mellifera

Project description:RNA sequencing of Apis mellifera abdominal fat body and matched whole brain following a knockdown in fat body ame-miR-305-5p expression

2024-04-01 | GSE200602 | GEO

Apis mellifera fat body Vg-miRNA data

Project description:In honey bees, Vitellogenin (Vg) is hypothesized to be a major factor affecting hormone signaling, food-related behavior, immunity, stress resistance and lifespan. Likewise microRNAs play important roles in posttranscriptional gene regulation and affect many biological processes thereby showing many parallels to Vg functions. The molecular basis of Vg and microRNA interactions is largely unknown. Here, we exploited the well-established RNA interference (RNAi) protocol for Vg knockdown to investigate its effects on microRNA population in honey bee forager’s brain and fat body tissue. To identify microRNAs that are differentially expressed between tissues in control and knockdown foragers, we used µParaflo® microfluidic oligonucleotide microRNA microarrays. Our results show 76 and 74 miRNAs were expressed in the brain of control and knockdown foragers whereas 66 and 69 miRNAs were expressed in the fat body of control and knockdown foragers respectively. Target prediction identified potential seed matches for differentially expressed subset of microRNAs affected by Vg knockdown. These candidate genes are involved in a broad range of biological processes including insulin signaling, juvenile hormone (JH) and ecdysteroid signaling previously shown to affect foraging behavior. Thus, here we demonstrate a causal link between Vg expression-variation and variation in the abundance of microRNAs in different tissues with possible consequences for regulation of foraging behavior.

2013-03-07 | GSE44916 | GEO

Apis mellifera

Project description:Apis mellifera fat body Vg-miRNA data

| PRJNA192527 | ENA

RNA-sequencing of abdominal fat body-enriched tissue of Drosophila fat body-specific Sdc RNAi knockdown and control

Project description:We report the transcriptome profile of one sequenced sample of mRNA isolated from pooled (20 from each genotype) abdomen fly extracts enriched in fat body content of fat body-specific Sdc RNAi knockdown and control flies Abdominal fat body mRNA profiles of 4-6-day old control and fat body-specific Sdc RNAi knockdown were generated by deep sequencing using Illumina HiSeq 2500

2016-06-30 | E-GEOD-67001 | biostudies-arrayexpress

Fat body of silkworm

Project description:Transcriptional analysis of the fat body of silkworms Transcriptome

| PRJNA1173861 | ENA

Fat body of silkworm

Project description:Transcriptome analysis of the fat body of silkworms Transcriptome

| PRJNA1173870 | ENA

Fat body of silkworm

Project description:Transcriptome analysis of the fat body of silkworms Transcriptome

| PRJNA1174360 | ENA

Fat body of silkworm

Project description:Transcriptome analysis of the fat body of silkworms Transcriptome

| PRJNA1174363 | ENA

Dataset on fat body proteome of Anopheles stephensi Liston

Project description:Fat body is an important tissue in the context of vitellogenesis, vector immunity, vector physiology and vector-parasite interaction. However, the proteome of this vital organ has not been investigated in any Anopheline species so far. In this study, we employed multiple fractionation method followed by high resolution mass spectrometry to characterize fat body proteome of female mosquitoes An. stephensi Indian strain. In all, we identified 4, 535 proteins in the fat body and a subset of these proteins were found to be restricted to fat body. Gene ontology analysis of these proteins suggested their role in metabolism, lipid transport, vitellogenesis, mosquito immunity and oxidation-reduction processes. By far, this is the largest proteomic resource of fat body in any mosquito species.

2019-01-07 | PXD006677 | Pride

mRNA-seq in Drosophila larval fat body

Project description:We performed mRNA-seq from hand-dissected fat body tissue from 68hr (after egg laying, AEL) and 92hr AEL Drosophila melanogaster larvae. Fat body was dissected from wild-type (OrR) males and testes were removed. We examined gene expression genome-wide with particular focus on genes in the underreplicated regions in the fat body.

2018-07-25 | GSE90915 | 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