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88 results for “IGF-1”
Hepatocyte growth factor(HGF) and insulin-like growth factor-1(IGF-1) for repair of bone-cartilage defects in bone marrow mesenchymal stem cells in a rabbit model of postmenopausal
GEO Series GSE248225. Leporidae. 6 samples. Type: Expression profiling by high throughput sequencing.
IGF-1 degradation by mast cell chymase promotes delayed cell death in post-ischemic hearts
GEO Series GSE61592. Mus musculus. 6 samples. Type: Expression profiling by array.
IGF-1 Peptide Mimetic-functionalized Hydrogels Enhance MSC Survival and Immunomodulatory Activity
GEO Series GSE275505. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Domain-Dependent Effects of Insulin and IGF-1 Receptors on Preadipocyte Gene Expression
GEO Series GSE81921. Mus musculus. 24 samples. Type: Expression profiling by array.
Experimental replacement therapy counters decreased IGF-1 levels in Huntington’s disease
GEO Series GSE19291. Mus musculus. 4 samples. Type: Expression profiling by array.
Knockdown IGF-1R triggers viral RNA sensors MDA5- and RIG-1-mediated the mitochondrial apoptosis in colonic cancer cells
GEO Series GSE122534. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
The HDAC inhibitor LBH589 enhances the anti-myeloma effect of the IGF-1 RTK inhibitor picropodophyllin (PPP)
GEO Series GSE30524. Homo sapiens. 8 samples. Type: Expression profiling by array.
Database of NGS results of IGF-1 gene of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent Feed efficiency status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving Feed efficiency reduces production costs. Improving Feed efficiency by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p>As with other complex traits (also referred to as quantitative or polygenic traits), Feed efficiency is controlled by many genes which are involved in several molecular mechanisms and pathways causing animal-to-animal genetic variation in different biological functions. GWAS results suggested genes impacting lipid and energy metabolism as markers of Feed efficiency. Detection of many variants in these genes is necessary to predict or identify efficient animals accurately.</p> <p>A major role of insulin-like growth factors (IGFs) is considered to be the regulation of tissue growth and differentiation. Insulin-like growth factor 1 is a mediator of the effects of growth hormone, and polymorphism in the IGF1 gene is reported to affect fat deposition in some livestock species. Growth hormone is synthesized in the anterior pituitary gland and released into the bloodstream. It stimulates the liver to produce IGF1, which can fuel body growth by having growth-promoting effects on almost every cell in the body while regulating cellular DNA synthesis.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds.</p> <p>Exons (4) of the IGF-1 gene and their flanking intron regions were sequenced using Illumina NGS technology (AmpliSeq). The IGF-1 gene has been sequenced in lambs of Latvia (in sheep research in Latvia) for the first time.</p> <p>Information about seven loci was found compared with the last reference sequences ARS_UI_Ramb_v2.0. Two (2) loci were in complete linkage disequilibrium.</p> <p>The database contains information on each locus for each lamb and the distribution of alleles and genotypes for each locus across all 76 samples. The data will be used in (1) analysis of Latvian sheep and (2) analysis of association with feed efficiency.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
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International Brain Laboratory public data
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OpenNeuro
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