Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray gene expression profiling of neural tissues in bovine spastic paresis

ABSTRACT: Background Bovine Spastic Paresis (BSP) is a neuromuscular disorder which affects both male and female cattle. BSP is characterized by spastic contraction and overextension of the gastrocnemious muscle of one or both limbs and is associated with a scarce increase in body weight. This disease seems to be caused by an autosomal and recessive gene, with incomplete penetration, although no genes clearly involved with its onset have been so far identified. We employed cDNA microarrays to identify metabolic pathways affected by BSP in Romagnola cattle breed. Investigation of those pathways at the genome level can help to understand this disease. Results Microarray analysis of control and affected individuals resulted in 268 differentially expressed genes. These genes were subjected to KEGG pathway functional clustering analysis, revealing that they are predominantly involved in Cell Communication, Signalling Molecules and Interaction and Signal Transduction, Diseases and Nervous System classes. Significantly enriched KEGG pathwayM-bM-^@M-^Ys classes for the differentially expressed genes were calculated; interestingly, all those significantly under-expressed in the affected samples are included in Neurodegenerative Diseases. To identify genome locations possibly harbouring gene(s) involved in the disease, the chromosome distribution of the differentially expressed genes was also investigated. Conclusions The cDNA microarray we used in this study contains a brain library and, even if carrying an incomplete transcriptome representation, it has proven to be a valuable tool allowing us to add useful and new information to a poorly studied disease. By using this tool, we examined nearly 15000 transcripts and analysed gene pathways affected by the disease. Particularly, our data suggest also a defective glycinergic synaptic transmission in the development of the disease and an alteration of calcium signalling proteins. We provide data to acquire knowledge of a genetic disease for which literature still presents poor results and that could be further and specifically analysed in the next future. Moreover this study, performed in livestock, may also harbour molecular information useful for understanding human diseases. Samples of spinal cord from 4 affected and 4 control individuals of the Romagnola breed were collected immediately after slaughtering and later stored in RNA (Sigma-Aldrich). Dye-swaps were performed using pooled cDNA probes from the 4 control animals and the 4 affected animals.

ORGANISM(S): Bos taurus

SUBMITTER: Alessio Valentini

PROVIDER: E-GEOD-25243 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Background Bovine Spastic Paresis (BSP) is a neuromuscular disorder which affects both male and female cattle. BSP is characterized by spastic contraction and overextension of the gastrocnemious muscle of one or both limbs and is associated with a scarce increase in body weight. This disease seems to be caused by an autosomal and recessive gene, with incomplete penetration, although no genes clearly involved with its onset have been so far identified. We employed cDNA microarrays to identify metabolic pathways affected by BSP in Romagnola cattle breed. Investigation of those pathways at the genome level can help to understand this disease. Results Microarray analysis of control and affected individuals resulted in 268 differentially expressed genes. These genes were subjected to KEGG pathway functional clustering analysis, revealing that they are predominantly involved in Cell Communication, Signalling Molecules and Interaction and Signal Transduction, Diseases and Nervous System classes. Significantly enriched KEGG pathway’s classes for the differentially expressed genes were calculated; interestingly, all those significantly under-expressed in the affected samples are included in Neurodegenerative Diseases. To identify genome locations possibly harbouring gene(s) involved in the disease, the chromosome distribution of the differentially expressed genes was also investigated. Conclusions The cDNA microarray we used in this study contains a brain library and, even if carrying an incomplete transcriptome representation, it has proven to be a valuable tool allowing us to add useful and new information to a poorly studied disease. By using this tool, we examined nearly 15000 transcripts and analysed gene pathways affected by the disease. Particularly, our data suggest also a defective glycinergic synaptic transmission in the development of the disease and an alteration of calcium signalling proteins. We provide data to acquire knowledge of a genetic disease for which literature still presents poor results and that could be further and specifically analysed in the next future. Moreover this study, performed in livestock, may also harbour molecular information useful for understanding human diseases.

Project description:A microarray study performed in the pancreatic lymph nodes of Deaf1 knock-out and BALB/c control mice to identify genes that are regulated by the transcriptional regulator Deaf1. These experiments constitute a portion of the study described below: Abstract: Type 1diabetes (T1D) can result from a breakdown in peripheral tolerance which is controlled by peripheral tissue antigen (PTA) expression in lymph nodes. Here, we identified a transcriptional regulator, deformed epidermal autoregulatory factor 1 (Deaf1), which regulates the expression of various PTAs in the pancreatic lymph node (PLN). We found, by microarray, that Deaf1 controls the expression of ~600 genes in the PLN. In the non-obese diabetic (NOD) mouse model of T1D, we identified a wild-type form of Deaf1 (DF1) and a truncated alternatively spliced variant (DF1-VAR1) that hetero-dimerizes with and decreases the transcriptional activity of DF1. The expression of DF1 correlates with the expression of various pancreatic PTAs such as insulin, and during the onset of destructive insulitis in NOD mice, DF1 expression is downregulated, while the DF1-VAR1 expression is upregulated in the PLN. A reduction in DF1-controlled PTA expression in the PLN, leading to decreased peripheral tolerance, could underlie the pathogenesis of NOD disease. Deaf1-KO mice (4 wk old) and age-matched BALB/c control mice were sacrificed, and the PLN were removed and immediately homogenized in Trizol Reagent. RNA was extracted in Trizol and then purified using the RNeasy kit (Qiagen). RNA quality was assessed using the Agilent RNA 6000 Nano Reagents, RNA Nano chips, and the Agilent 2100 bioanalyzer (Agilent Technologies), according to manufacturerâs instructions. Control and Deaf1-KO mouse RNA was amplified, labeled with Cy3 and Cy5, respectively, and combined with spike A and spike B mix, respectively, using the Agilent low RNA input fluorescence linear amplification kit (Agilent Technologies). The amplified cRNA was purified using the RNeasy kit (Qiagen), and specific activity was determined with the NanoDrop 1000 spectrophotometer (Thermo Scientific). Samples were prepared with the gene expression hybridization kit (Agilent Technologies) and two color microarrays were performed using the whole mouse genome (4x44K) Oligo microarray kit, according to manufacturerâs instructions. Microarray chips were washed and scanned using the DNA microarray scanner (Agilent Technologies). Data was processed with Feature Extraction Software (Agilent Technologies), and analyzed using GeneSpring GX 7.3 Software (Agilent Technologies). This submission shows the data obtained from two individual Deaf1 knockout mice measured against a pool of 4 BALB/c control mice.

Project description:The debate on the origin and evolution of flowers has recently entered the field of developmental genetics, with focus on the design of the ancestral floral regulatory program. Flowers can differ dramatically among angiosperm lineages, but in general, sterile perianth organs surrounding stamens (male reproductive organs) and carpels (female reproductive organs) constitute the basic floral structure. However, the basal angiosperm lineages exhibit spectacular diversity in the number, arrangement, and structure, of floral organs, while the evolutionarily derived monocot and eudicot lineages share a far more uniform floral ground plan. As such, regulatory mechanisms underlying the archetypal floral plan, for instance that of the eudicot genetic model Arabidopsis thaliana, are unlikely to apply to the original flowers. Here we show that broadly overlapping transcriptional programs characterise the floral transcriptome of the basal angiosperm Persea americana (avocado), while floral gene expression domains are typically organ-specific in Arabidopsis. Our findings extend the âfading bordersâ model for basal angiosperms from organ identity genes to the downstream floral transcriptome, and suggest that the combinatorial mechanism for organ identity may not operate in basal angiosperms as it does in Arabidopsis. Furthermore, fading expression of components of the stamen transcriptome in central and peripheral regions of Persea flowers resembles the developmental program of the hypothesized gymnosperm âfloral progenitorâ. Accordingly, in contrast to the canalized organ-specific regulatory apparatus of Arabidopsis, floral development may have been originally regulated by overlapping transcriptional cascades with fading gradients of influence from focal to bordering organs. Expression profiles of inflorescence buds, pre-meiotic floral buds, inner and outer tepals, stamens, carpels, initiating fruit, and leaves were assessed in an interwoven double loop design for eight samples with 16 arrays. Sample materials were collected from two individuals (biological replicates) cultivated on the University of Floridaâs Gainesville campus, and RNA was isolated twice for technical replication. Thus, four RNA extractions from each of the eight tissue types listed above were individually labeled with Cy3 (twice) or Cy5 (twice) and hybridized with four other Cy3 or Cy5 labeled samples as a dual channel array system.

Dataset Information

Microarray gene expression profiling of neural tissues in bovine spastic paresis

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets