Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1050055 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27143400_1.fastq.gz | Fastqsanger.gz | |||
| SRR27143400_2.fastq.gz | Fastqsanger.gz | |||
| SRR27143500_1.fastq.gz | Fastqsanger.gz | |||
| SRR27143500_2.fastq.gz | Fastqsanger.gz | |||
| SRR27143401_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 440 |
Similar Datasets
Project description:Transcript profiling was performed by Affymetrix microarray analysis and SAGE to characterize changes in gene expression in the bovine mammary gland in response to 4× versus 2× daily milking during the first week of lactation. These changes in gene expression may contribute to the increased milk production observed in response to increased milking frequency. Our results indicate that increased milking frequency alters expression of genes in the mammary gland related to increased extracellular matrix remodeling, neovascularization, metabolism, cell proliferation and apoptosis. Keywords: Physiological response to stimulus
2007-12-23 | GSE9344 | GEO
Project description:Mastitis remains one of the most prevalent and costly diseases impacting the dairy industry worldwide. Escherichia coli is an environmental bacterium that frequently causes intramammary infections, the outcome of which depends on the capacity of the host to recognize and clear the bacterial pathogen. E. coli intramammary infection elicits localized and systemic responses, some of which have been characterized in mammary secretory tissue. However, nothing is known about early transcriptome-wide responses to infection that occur within regions of the teat and mammary parenchyma. Therefore, the objective of the current study was to use microarray analysis to characterize gene expression patterns and process networks that become activated in different regions of the mammary gland during the acute phase of experimentally induced intramammary infection with E. coli. Tissues evaluated were from Furstenberg’s rosette, teat cistern, gland cistern, and lobulo-alveolar regions of control and infected mammary glands, 12 and 24 h after bacterial (or control) infusions. For selected genes, quantitative RT-PCR was performed to confirm the microarray findings (Toll-like receptors; TLR1, TLR2, TLR4, TLR6) and evaluate the correspondence between mRNA level in tissues and protein level in milk (interleukin 8, tumor necrosis factor-alpha, haptoglobin, lipopolysaccharide-binding protein). The main networks activated by E. coli infection pertained to immune and inflammatory response, with marked induction of genes encoding proteins that function in chemotaxis, leukocyte activation and signaling. Genomic response was greatest in tissues of the teat and gland cisterns at 12 h post-infection, while tissue of the lobulo-alveolar region responded only, and most strongly of the regions, 24 h following the infection. Up regulation of TLR2, TLR4, IL8, TNF-alpha and bactericidal/permeability-increasing protein peaked at 12 h post infection in tissues of the teat and in the gland cistern, while the highest level of lipopolysaccharide-binding protein was reached at 24 h in the lobular alveoli region of infected quarters. Very few genes were down–regulated within the timeframe of this study. Similar genetic networks were impacted in all regions during early phases of E. coli intramammary infection, although regional differences throughout the gland were noted. Importantly, the tissues of the teat, which are first to encounter invading bacteria during a natural infection, responded rapidly and intensely, suggesting an important sentinel function for this region. Both resident mammary cells and infiltrating immune cells likely play an important role in recognition of pathogens and production of inflammatory mediators during mastitis. Three healthy lactating Holstein cows were used in this study. All mammary glands were bacteria-free. Immediately following the morning milking, 4 mL of E. coli suspension (100 colony forming units/mL) were infused into one mammary gland of the udder and the contralateral gland was infused with PBS (control gland). After the PM milking 12 h later, the remaining ipsilateral quarter was infused with E. coli. Cows were euthanized 24 h after initial infusions and tissues were collected from 4 regions of each mammary gland: Furstenburg’s rosette, teat cistern, gland cistern and lobuloalveolar regions. Tissues were snap frozen in liquid nitrogen, stored at -80C until processing.
2009-08-18 | E-GEOD-15441 | biostudies-arrayexpress
Project description:Influence of post-milking treatment on microbial diversity on the cow teat skin and in milk
| PRJEB51233 | ENA
Project description:Lacticaseibacillus paracasei Proteome
| PRJNA692808 | ENA
Project description:Lacticaseibacillus paracasei subsp. paracasei Genome sequencing
| PRJNA753215 | ENA
Project description:Lacticaseibacillus paracasei subsp. paracasei strain:2LB
| PRJNA1308329 | ENA
Project description:Transcript profiling was performed by Affymetrix microarray analysis and SAGE to characterize changes in gene expression in the bovine mammary gland in response to 4× versus 2× daily milking during the first week of lactation. These changes in gene expression may contribute to the increased milk production observed in response to increased milking frequency. Our results indicate that increased milking frequency alters expression of genes in the mammary gland related to increased extracellular matrix remodeling, neovascularization, metabolism, cell proliferation and apoptosis. Keywords: Physiological response to stimulus Multiparous Holstein cows were milked either 2× daily (Control, n = 3) or 2× daily from day 1 to 3 of lactation, and 4× daily beginning at day 4 of lactation until day 21 post partum (IMF4, n = 4). The milking intervals were approximately 12 hours for Control cows and 9, 3, 9, and 3 hours, respectively, for IMF4 cows. Mammary biopsies were obtained at approximately day 7 of lactation for extraction of total RNA and subsequent transcript profiling my microarray (Affymetrix). Pooled Control and IMF4 RNA samples were used to synthesize two SAGE libraries using the Long SAGE kit by Invitrogen.
2007-12-22 | E-GEOD-9344 | biostudies-arrayexpress