Bovine leukemia virus proviral gp51 gene for envelope protein, partial cds
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB23903 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional profiling of blood B cells from bovine leukemia virus-infected cattle comparing IgMhigh B cells with IgMlow B cells. Goal was to estimate the difference of cellular function in both subset. Two-condition experiment, IgMhigh B cells vs. IgMlow B cells from three bovine leukemia virus-infected cattle.
2014-04-01 | E-GEOD-52388 | biostudies-arrayexpress
Project description:Transcriptional profiling of blood B cells from bovine leukemia virus-infected cattle comparing IgMhigh B cells with IgMlow B cells. Goal was to estimate the difference of cellular function in both subset.
2014-04-01 | GSE52388 | GEO
Project description:Bovine Immunodeficiency Virus (BIV) is a member of Retroviruses family which is natural pathogen of cattle, prevalent worldwide. The significance of BIV infection in cattle has not been clearly established and it is still unknown whether BIV induces a specific syndrome or whether it renders animals more susceptible to other infections. To gain insight into host response to BIV infection the pattern of gene expression in bovine macrophage cells (BoMac) was analyzed using BLO Plus microarrays from CAFG, Michigan State University ( GEO GPL9176).
2022-11-21 | GSE218260 | GEO
Project description:Transcriptional profiling of Bovine skeletal muscle was conducted comparing age of cattle and dietary regimes
2010-11-24 | GSE25554 | GEO
Project description:GeneSeek HD Bovine 77k Genotyping array is used to estimate population structure and ancestry of bovine and evaluate loci responsible for complex traits. Further, copy number variation of bovine can be estimated by GeneSeek HD Bovine 77k Genotyping array. Here, we estimate population structure and ancestry of Qinchuan cattle.
2017-06-15 | GSE100038 | GEO
Project description:We reported the bovine liver gene expression database of Polish-HF, Polish-Red and Hereford cattle breeds.
2019-04-16 | GSE114233 | GEO
Project description:BackgroundThere is currently no commercially available method in Canada to identify bovine leukemia virus (BLV)-positive cows with high proviral load (PVL).ObjectivesFirst, develop a model to predict PVL using common, commercially available, cost-effective diagnostic tests. Second, investigate the relationship between lymphocyte count and PVL in BLV-positive cows.AnimalsA total of 339 BLV-positive and 62 BLV-seronegative cows on 15 dairy farms.MethodsCross-sectional study. Blood and milk samples were collected from all lactating BLV-positive cows on each farm and 5 to 10 BLV-seronegative cows depending on herd size. Blood and milk samples were tested for anti-BLV antibodies using enzyme-linked immunosorbent assay (ELISA). Complete blood counts were performed on blood samples, and standard components analyses were obtained for milk samples. Proviral load was determined by quantitative polymerase chain reaction for each cow.ResultsThe inverse of lymphocyte count, the square of the inverse of lymphocyte count, and milk ELISA percent positivity were positively associated with increasing PVL in BLV-positive cows. For BLV-positive cows, lymphocyte count >5.2 × 109 /L predicted a high PVL (BLV:Bovine DNA of >1 in blood) with a sensitivity of 92.4% and a specificity of 79.8%. For BLV-positive cows, white blood cell count >10.8 × 109 /L predicted a high PVL, with a sensitivity of 85.5% and a specificity of 83.6%.Conclusions and clinical importanceBased on these results, producers can implement commonly available diagnostic tests to identify cows with high probability of having high PVL, which may help in designing effective disease control strategies for BLV-positive herds.
| S-EPMC9511096 | biostudies-literature
Project description:We carried out a cross species cattle-sheep array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the sheep genome analysing animals of Italian dairy breeds (Sarda, Bagnolese, Laticauda, Massese and Valle del Belice) using a tiling oligonucleotide array with ~385,000 probes designed on the bovine genome. We identified 135 CNV regions (CNVRs) covering about 10.5 Mb of the virtual sheep genome referred to the bovine genome (0.398%) with a mean and median equal to 77.6 kb and 55.9 kb, respectively. A comparative analysis between the identified sheep CNVRs and those reported in the cattle and goat genomes indicated that overlaps between sheep and goat and sheep and cattle CNVRs are highly significant (P<0.0001) suggesting that several chromosome regions might contain recurrent interspecies CNVRs. Many sheep CNVs affect genes with important biological functions. Further studies are needed to evaluate the functional relevance of these CNVs. In this study we made use of the high conservation and homology between the cattle and sheep genomes determined by their phylogenetic closeness to identify CNVs in sheep applying the same approach we carried out to identify CNVs in the goat genome. We used a custom tiling array including ~385,000 oligonucleotide probes designed on the Btau_4.0 version of the Bos taurus genome assembly and analysed genomic DNA samples of 11 sheep belonging to 6 different Italian dairy sheep breeds (2 Sarda, 2 Bagnolese, 2 Comisana, 2 Massese, 2 Laticauda and 1 Valle del Belice) compared to the reference DNA of another Sarda sheep.
2010-11-16 | E-GEOD-25122 | biostudies-arrayexpress
Project description:We reported the bovine pituitary gland gene expression database of Polish-HF, Polish-Red and Hereford cattle breeds.
2019-05-09 | GSE114230 | GEO
Project description:We carried out a cross species cattle-sheep array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the sheep genome analysing animals of Italian dairy breeds (Sarda, Bagnolese, Laticauda, Massese and Valle del Belice) using a tiling oligonucleotide array with ~385,000 probes designed on the bovine genome. We identified 135 CNV regions (CNVRs) covering about 10.5 Mb of the virtual sheep genome referred to the bovine genome (0.398%) with a mean and median equal to 77.6 kb and 55.9 kb, respectively. A comparative analysis between the identified sheep CNVRs and those reported in the cattle and goat genomes indicated that overlaps between sheep and goat and sheep and cattle CNVRs are highly significant (P<0.0001) suggesting that several chromosome regions might contain recurrent interspecies CNVRs. Many sheep CNVs affect genes with important biological functions. Further studies are needed to evaluate the functional relevance of these CNVs.
2010-11-16 | GSE25122 | GEO