Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Adaptation of Rectal Microbiome to Feed Restriction and Cold Stress in Hulunbuir Sheep (FR vs AL)

PROVIDER: PRJNA940211 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23679600_1.fastq.gz	Fastqsanger.gz
	SRR23679600_2.fastq.gz	Fastqsanger.gz
	SRR23679601_1.fastq.gz	Fastqsanger.gz
	SRR23679601_2.fastq.gz	Fastqsanger.gz
	SRR23679602_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 154

Similar Datasets

Project description:Adaptation of Rectal Microbiome to Feed Restriction and Cold Stress in Hulunbuir Sheep (FR-CE vs FR-CS vs AL-CE vs AL-CS)

| PRJNA940272 | ENA

Project description:Adaptation of Rectal Microbiome to Feed Restriction and Cold Stress in Hulunbuir Sheep (CE vs CS)

| PRJNA940182 | ENA

Project description:Got microbiota and host metabolic adaptation to cold Exp2 FR

| PRJNA555506 | ENA

Seeking genes responsible for developmental origins of health and disease (DOHaD) from the fetal mouse brain following maternal food deprivation (FD) and food restriction (FR) using OMICS approach

Project description:A non-optimal fetal environment is known to cause low birth weight, which has been epidemiologically associated with a greater risk of adult diseases. Maternal undernutrition in animal models has also revealed the increased risks for adult diseases in the offspring. In this study, pregnant mice underwent overnight food deprivation at gestation day (GD)17 or 50% food restriction (FR) from GD10 to GD17, and the fetal brains were examined for global changes in gene expression by DNA microarray analysis utilizing the dye-swap approach. We present here a list of candidate genes from the fetal brain that might be responsible for developmental origins of health and disease. For food deprivation (FD), the pregnant mice were deprived of the food for overnight before lights were turned off on GD17. For food restriction (FR), pregnant mice were exposed to 50% food restriction (FR) from GD 10 to 17 and caesarean section was performed between 10:00-12:00 AM on GD18. Amount of CE-2 chow supplied to FR group was calculated as 50% of CE-2 consumed by control group each gestation day. Control group was supplied with chow ad libitum. Pregnant mice were sacrificed by cervical dislocation, and the fetuses were taken out and anesthetized on ice cold phosphate-buffered saline. The fetuses were dissected under a dissection microscope, and fetal tissues are carefully removed avoiding any other tissues contamination. The brain was collected from control (n=5) and FD (n=5) or FR (n=5) fetuses, and immediately frozen by immersion in liquid nitrogen. For DNA microarray analyses, the total RNA was extracted, quality and quantity determined, and total RNA from each sample (control and treatment) in each group was pooled, followed by established protocols for genome wide expression changes for both FD and FR samples using a 60-mer probes (4 x 44K (41,090 gene probes), mouse whole genome, Agilent) DNA chip by the dye-swap approach.

2015-09-19 | E-GEOD-73202 | biostudies-arrayexpress

RNA-Seq data from dairy sheep milk samples divergent for feed efficience

Project description:The knowledge of the genetic architecture behind feed efficiency would allow to breed more efficient animals maximizing farm profitability and reducing the environmental impact of animal production. This study analyzes high throughput gene expression data from milk samples to determine key genes and biological mechanisms associated to feed efficiency in dairy sheep.A detailed description of the sheep management practices and calculations for the feed efficiency index (FEI) are detailed in 10.3168/jds.2020-19061. For these analyses, we selected animals with divergent FEI values from a group of 40 lactating Assaf ewes. RNA-Seq was performed on milk somatic cell samples from 8 high feed efficiency sheep (H-FE), FEI = −0.29 (SD = 0.23), RFI = −0.16 (SD = 0.25), and 8 low feed efficiency sheep (L-FE), FEI = 0.81 (SD = 0.24), RFI = 0.19 (SD = 0.24)).

2023-02-14 | E-MTAB-12355 | biostudies-arrayexpress

Freeze resistance basis of winter wheat mutant lines

Project description:Two azide mutagenized lines Freeze Resistance (FR, 75% survival) and Freeze Susceptible (FS, 30% survival) were compared with and without 4°C ± 1.5 cold acclimation of crown tissue to identify genes responsible for the difference in freeze resistance. Keywords: Wheat cold acclimation, stress response, cold, low temperature Experiment design (8 hybridizations): Genotype: SD16029 (FR) or SD16169 (FS) Temperature: 25°C or 4°C

2013-07-01 | E-GEOD-14697 | biostudies-arrayexpress

Microarray of liver from Red Junglefowl (Gallus gallus) raised on intermittent fasting, chronic 70% restriction or ad libitum feeding

Project description:To better understand the hepatic metabolic response to intermittent fasting in chickens, Red Junglefowl chickens were raised on ad libitum (AL) feed until 14 days of age and then kept on AL feeding, switched to chronic feed restriction (CR) to around 70% or switched to an intermittent fasting (IF) regimen consisting of two fed days (150% of age-matched weight-specific AL intake offered daily) followed by a non-fed day. AL and CR were culled at 36 days of age, and IF birds either at 40 days of age (second consecutive feeding day) or 41 days of age (fasting day).

2022-04-14 | E-MTAB-7829 | biostudies-arrayexpress

Searching genes responsible for developmental origins of health and disease (DOHaD) by comparing adult and fetal mouse undernutrition models

Project description:A large number of rodent studies have supported the developmental origins of health and disease (DOHaD) hypothesis that interauterine undernutrition (IU) is a risk factor for non-communicable diseases. The effect of IU is considered to be induced thorough epigenetic programming in the fetal tissues. We have recently carried out global transcriptome expression and promoter DNA methylation analyses on the fetal mouse liver following maternal 50% food restriction (FR) during late gestation, and reported a list of fetal liver genes that were transcriptionally or epigenetically regulated by IU (Ogawa et al., 2014, Congenital Anomalies). We have already reported the genes that were regulated oppositely between maternal and fetal livers (Ogawa et al., 2014, Congenital Anomalies). Here, we considered that the fetal liver is a hematopoietic organ, and exposed nine-week-old male mice (C57BL/6J from Japan SLC, Hamamatsu, Japan; n=8 / group) to 50% FR (chow; CE-2, CLEA, Tokyo Japan) for two weeks and carried out global gene expression analysis on the whole blood by a method reported previously (Ogawa et al., 2014, Congenital Anomalies).

2016-03-03 | GSE78817 | GEO

Freeze resistance basis of winter wheat mutant lines

2013-07-01 | GSE14697 | GEO

Identification of Prolificacy-related Differentially Expressed Proteins from Sheep (Ovis aries) Hypothalamus by Comparative Proteomics

Project description:Reproduction, as a physiologically complex process, can significantly affect the development of the sheep industry. However, a lack of overall understanding to sheep fecundity has long blocked the progress in sheep breeding and husbandry. Herein, in present study, we aimed to identify differentially expressed proteins (DEPs) from hypothalamus in sheep without FecB mutation in two comparison groups: polytocous (PF) versus (vs.) monotocous (MF) sheep at follicular phase and polytocous (PL) vs. monotocous (ML) sheep at luteal phase,expecting to provide an alternative method to identify DEPs associated with sheep prolificacy from the hypothalamus.

2019-07-25 | PXD013822 | Pride

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