Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [liver]

ABSTRACT: Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [liver]

PROVIDER: PRJNA480651 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [duodenum]

Project description:Transcriptome analysis was performed in duodenum of high and low RFI chicks for finding out differentially expressing genes and molecular pathways for RFI in colored broiler chicken. The sample of 4 birds each from high and low RFI group from the whole lot of 225 broilers was taken for transcriptome analysis. The expression of genes influencing low and high feed efficiency and the pathways of these genes was studied out to examine the molecular mechanism influencing feed efficiency.

2018-07-12 | GSE116940 | GEO

Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [liver]

Project description:Transcriptome analysis was performed in liver of high and low RFI chicks for finding out differentially expressing genes and molecular pathways for RFI in colored broiler chicken. The sample of 4 birds each from high and low RFI group from the whole lot of 225 broilers was taken for transcriptome analysis. The expression of genes influencing low and high feed efficiency and the pathways of these genes was studied out to examine the molecular mechanism influencing feed efficiency.

2018-07-12 | GSE116932 | GEO

Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken

Project description:Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken

| PRJNA480664 | ENA

Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [duodenum]

Project description:Genetic analysis of residual feed intake and its molecular pathways in coloured broiler chicken [duodenum]

| PRJNA480666 | ENA

Identification of key pathways associated with residual feed intake of beef cattle

Project description:The biological mechanisms associated with the residual feed intake in ruminants have been harnessed immensely via transcriptome analysis of liver and ruminal epithelium, however, this concept has not been fully explored using whole blood. We applied whole blood transcriptome analysis and gene set enrichment analysis to identify key pathways associated with divergent selection for low or high RFI in beef cattle. A group of 56 crossbred beef steers (average BW = 261.3 ± 18.5 kg) were adapted to a high-forage total mixed ration in a confinement dry lot equipped with GrowSafe intake nodes for period of 49 d to determine their residual feed intake (RFI). After RFI determination, weekly whole blood samples were collected three times from beef steers with the lowest RFI (most efficient; low-RFI; n = 8) and highest RFI (least efficient; high-RFI; n = 8). Prior to RNA extraction, whole blood samples collected were composited for each steer. Sequencing was performed on an Illumina NextSeq2000 equipped with a P3 flow. Gene set enrichment analysis (GSEA) was used to analyze differentially expressed gene sets and pathways between the two groups of steers. Results of GSEA revealed pathways associated with metabolism of proteins, cellular responses to external stimuli, stress, and heat stress were differentially inhibited (false discovery rate (FDR) < 0.05) in high-RFI compared to low-RFI beef cattle, while pathways associated with binding and uptake of ligands by scavenger receptors, scavenging of heme from plasma, and erythrocytes release/take up oxygen were differentially enriched (FDR < 0.05) in high-RFI, relative to low-RFI beef cattle. Taken together, our results revealed that beef steers divergently selected for low or high RFI revealed differential expressions of genes related to protein metabolism and stress responsiveness.

2022-04-07 | GSE198068 | GEO

miRNA data for residual feed intake

Project description:An integrative transcriptome analysis indicates regulatory networks for residual feed intake in Nelore cattle

| PRJEB23965 | ENA

Transcriptome analysis of mRNA expression in skeletal muscle of Yorkshire pigs with differential residual feed intake

Project description:Feed accounts for more than 60% of the costs for pig production, and FE can be measured as residual feed intake (RFI). In this study, we compared the transcriptome difference of longissimus dorsi muscles of Yorkshire pigs with high RFI (RFI_H) and low RFI (RFI_L) using Solexa mRNA sequencing.

2015-05-31 | E-MTAB-2946 | biostudies-arrayexpress

Transcriptome analysis of miRNA expression in skeletal muscle of Yorkshire pigs with differential residual feed intake

2015-05-31 | E-MTAB-2949 | biostudies-arrayexpress

Effect of selection on residual feed intake on gene expression in porcine liver (20 kg body weight)

Project description:Transcriptional profiling in liver of 16 pigs of 20 kg body weight from lines divergently selected for residual feed intake (RFI): low-RFI pigs (RFIneg), high-RFI pigs (RFIpl) .

2014-01-01 | GSE47717 | GEO

Effect of selection on residual feed intake on gene expression in pig skeletal muscle (20 kg body weight)

Project description:Transcriptional profiling in skeletal muscle of 15 pigs of 20 kg body weight from lines divergently selected for residual feed intake (RFI): low-RFI pigs (RFIneg), high-RFI pigs (RFIpl) .

2014-01-01 | GSE47768 | 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