Project description:Purpose: The transcriptome profiles were compared among groups of chronic stress exposure and control in two different breeds to identify genes and pathways related to response to chronic stress in the pituitary-adrenal axis. Methods: 6 male adult CFD and 6 Beagles were chosen at random with the similarities in good health, weight and other aspects. Separately, 3 of these two breeds were freely selected for the stress exposure via intermittent electrical stimulation and restraint stress, while the other 3 of these two breeds were non-disposed for normal control.The details for the disposal of dogs were: every morning dogs were restrained and electrical stimulations were exerted with a stable current of 10 mA for 6 s and then with a 6 s interval, lasting for 20 min every day. The duration of disposal was ten days.ll 12 dogs were killed by air embolism in the 11th day. Subsequently, pituitary and adrenal cortex tissues were fast collected and isolated for further high-sequencing. Results: 8 cDNA libraries were constructed for RNA-seq. A number of reads ranging from 53,295,978 to 65,414,932 was obtained in those 8 groups. About 10,000 genes and transcripts were annotated in each group. Besides,A total of 40, 346, 376, 69, 70, 38, 57, and 71 DEGs were detected in the contrasts of BP1_vs_BP2, CFDP1_vs_CFDP2, BP1_vs_CFDP1, BP2_vs_CFDP2, BAC1_vs_BAC2, CFDAC1_vs_CFDAC2, BAC1_vs_CFDAC1, and BAC2_vs_CFDAC2, respectively. Conclusions: Our results can contribute to a more comprehensive understanding about the genetic mechanisms of response to chronic stress in adrenal cortex and pituitary. Adrenal cortex and pituitary mRNA profiles of adult Chinese Field Dog and Beagle under chronic stress exposure and normal control, including BAC1 (Beagle adrenal cortex with disposal), BAC2 (Beagle adrenal cortex with non-disposal), BP1 (Beagle pituitary with disposal), BP2 (Beagle pituitary with non-disposal), CFDAC1 (Chinese Field Dog adrenal cortex with disposal), CFDAC2 (Chinese Field Dog adrenal cortex with non-disposal), CFDP1 (Chinese Field Dog pituitary with disposal), CFDP2 (Chinese Field Dog pituitary with non-disposal), were generated by deep sequencing, using Illumina Genome Analyzer IIx.

Project description:Purpose: The miRNA profiles were compared among groups of chronic stress exposure and control in two different breeds to identify the differentially expressed miRNAs related to response to chronic stress in the pituitary-adrenal axis. Methods: 6 male adult CFD and 6 Beagles were chosen at random with the similarities in good health, weight and other aspects. Separately, 3 of these two breeds were freely selected for the stress exposure via intermittent electrical stimulation and restraint stress, while the other 3 of these two breeds were non-disposed for normal control.The details for the disposal of dogs were: every morning dogs were restrained and electrical stimulations were exerted with a stable current of 10 mA for 6 s and then with a 6 s interval, lasting for 20 min every day. The duration of disposal was ten days.ll 12 dogs were killed by air embolism in the 11th day. Subsequently, pituitary and adrenal cortex tissues were fast collected and isolated for further high-sequencing. Results: 8 small miRNA libraries were constructed for miRNA-seq. A number of reads ranging from 15,926,611 to 81,028,035 was obtained in those 8 groups.a total of 29 (7 up, 22 down), 37 (16 up, 21 down), 30 (22 up, 8 down), 23 (16 up, 7 down), 21 (15 up, 6 down), 50 (11 up, 39 down), 28 (6 up, 22 down) and 40 (29 up, 11 down) DE-miRNAs (P-value < 0.001, log2(Fold_change) >1) were detected in the comparisons of BAC1_vs_BAC2, BAC1_vs_CFDAC1, BAC2_vs_CFDAC2, CFDAC1_vs_CFDAC2, BP1_vs_BP2, BP1_vs_CFDP1, BP2_vs_CFDP2 and CFDP1_vs_CFDP2, respectively Conclusions: Our results shed light on the miRNA profiles with and within chronic stress exposure in adrenal cortex and pituitary. Adrenal cortex and pituitary miRNA profiles of adult Chinese Field Dog and Beagle under chronic stress exposure and normal control, including BAC1 (Beagle adrenal cortex with disposal), BAC2 (Beagle adrenal cortex with non-disposal), BP1 (Beagle pituitary with disposal), BP2 (Beagle pituitary with non-disposal), CFDAC1 (Chinese Field Dog adrenal cortex with disposal), CFDAC2 (Chinese Field Dog adrenal cortex with non-disposal), CFDP1 (Chinese Field Dog pituitary with disposal), CFDP2 (Chinese Field Dog pituitary with non-disposal), were generated by deep sequencing, using Illumina Hiseq 2000.

Project description:Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq proved more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas. RNA was extracted from 10 lymphoma fine needle aspirates attained from companion canines. 4 normal lymph node samples were obtained from a Beagle breeding colony at Pfizer, including two samples that were taken from the same dog but different lymph nodes. This Series represents the Affymetrix gene expression only, not RNA-Seq referenced above. RNA-Seq data have been submitted to SRA as SRA059558.

Project description:Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq proved more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.

Dataset Information

Canis lupus familiaris

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure