Project description:Abnormal development of the prefrontal cortex (PFC) is associated with a number of neuropsychiatric disorders that have an onset in childhood or adolescence. Although the basic laminar structure of the PFC is established in utero, extensive remodeling continues into adolescence. To map the overall pattern of changes in cortical gene transcripts during post-natal development, we made serial measurements of mRNA levels in mouse PFC using oligonucleotide microarrays. We observed changes in mRNA transcripts consistent with known post-natal morphological and biochemical events. Overall, most transcripts that changed significantly showed a progressive decrease in abundance after birth, with the majority of change between post-natal weeks 2 and 4. Genes with cell proliferative, cytoskeletal, extracellular matrix, plasma membrane lipid / transport, protein folding, and regulatory functions had decreases in mRNA levels. Quantitative PCR verified the microarray results for six selected genes: DNA methyltransferase 3A (Dnmt3a), procollagen, type III, alpha 1 (Col3a1), solute carrier family 16 (monocarboxylic acid transporters), member 1 (Slc16a1), MARCKS-like 1 (Marcksl1), nidogen 1 (Nid1) and 3-hydroxybutyrate dehydrogenase (heart, mitochondrial) (Bdh). Keywords: time course, development, mRNA expression Single-channel affymetrix arrays were used to profile mRNA expression in the prefrontal cortex (PFC) of male mice at different time-points after birth (post-natal). Each array is an independent animal.
Project description:Lambs that inherit a callipyge allele from their dam have an up-regulation of maternally imprinted transcripts near the callipyge mutation but do not exhibit muscle hypertrophy. It is not clear what effects these maternally expressed transcripts have in the muscle or how the inheritance of a maternal callipyge allele prevents the expression of the callipyge phenotype which is seen paternal heterozygotes only. This experiment utilized bovine gene expression arrays to profile the gene expression of the semimembranosus muscle of 30 day old half-sibling lambs of all four possible genotypes with respect to the callipyge allele (+/+, C/+, +/C, and C/C). Experiment Overall Design: 10 lambs were used for this study. N=3 biological reps for C/C genotype, N=3 biological reps for Cmat/+ genotype, N=2 biological reps for +/Cpat genotype, and N=2 biological reps for +/+ genotype. Pairwise contrasts were performed to analyze the presence of a maternally inherited callipyge allele and the effect on a homozygous animal (+/C vs CC; +/+ vs C/+; and C/+ vs C/C). Experiment Overall Design: These data make up two experiments. Experiment Overall Design: [1] The maternal allele (4 genotype) experiment compares all four possible genotypes of a particular allele at one age and one tissue (30 days semimembranosus). Experiment Overall Design: [2] The paternal allele (2 genotype) experiment compares only the NC and the NN genotypes in one tissue (SM) across 4 ages (10, 20, 30, and 80 days). Experiment Overall Design: Images were interpreted with Microarray Suite version 5.0 (MAS5.0) in GCOS with no scaling or normalization (i.e., Samples GSM298143-GSM298164). Images were also interpreted by RMA using Bioconductor package of R (i.e., Samples GSM298165-GSM298186).
Project description:At one site (#10), three different batches of MTRRM (see E-TABM-16), were labeled with two different kits (Enzo and Affymetrix) and hybridized to two different Affymetrix Arrays (RAE230A and RAE230_2).
Project description:Gastrointestinal nematode (GIN) is a major economic and health concern is sheep farming. Sheep breeds such as Texel are relatively resistant to GIN than the Suffolk. With the objective to understand the underlying genetic mechanism of resistance and susceptibility at the transcriptomic level, two groups of animal from both the breed were artificially (orally) infected with 30,000 L3 larvae of prominent GIN Teladorsagia circumcincta. Subgroups of animals from each breed were slaughtered on day 0, 3, 7, 14 and 21 of post infection (p.i.). Transcriptomic profiling of abomasal lymph node was performed using RNA-seq. The perturbations in gene expression profiles in both the breeds were evident and Texel showed a more tightly regulated immune response than the Suffolk. The number of differentially expressed (DE) genes between the breeds was highest (437) on un-infected control (day 0) and lowest (173) on day 7 p.i.. Pathway analysis of DE genes identified 3 significant pathways, which involved only more highly expressed genes of Suffolk breed on day 0 and only more highly expressed genes of Texel (with one exception) on day 7 p.i.. The Th1, Th2 and Treg response was evident in response to GIN in Texel and was synchronized, while in Suffolk Th1 response was reduced after infection and pronounced Th2 and Treg was not evident. The study suggests maximum level of transcriptional activity in both breeds on day 7 p.i. and there was a shift of transcriptional activity from Suffolk on day 0 to Texel on day 7 p.i.. Suffolk had a reduced Th1 response with less pronounced Th2 and Treg immune response, while Texel had an active and synchronized Th1/Th2/Treg immune response in response to GIN infection. Abomasal lymph node tissue was taken from control (n=10) and experimentally infected (with T. circumcincta) lambs (n=36) from Texel and Suffolk breed on day 0, 3, 7, 14 and 21 post infection.
Project description:In sheep, differences were observed regarding fat accumulation and fatty acid composition between males and females, which may impact the quality and organoleptic characteristics of the meat. The analysis of omics technologies is a relevant approach for investigating biological and genetic mechanisms associated with complex traits. Here, the perirenal tissue of six male and six female Assaf suckling lambs was evaluated using RNA sequencing.
Project description:Three apoptosis inducing proteins, ACO1, STK3 and XBP1 were discovered in a previous reverse transfection screen. HEK293T cells were harvested and RNA extracted from the cells after over-expression of these 3 proteins at 12, 24 and 48 hours. A positive apoptosis inducer staurosporine and a negative control transfection reagent only were also included at each time point. Each sample had an experimental replicate.
Project description:Alterations in genes for penicillin-binding proteins (pbp) are well-known determinants for the resistance of Streptococcus pneumoniae to B-lactam antibiotics. Surprisingly, some mutations in non-pbp genes were also found to contribute to B-lactam resistance. Two of them discovered in the piperacillin resistant mutants P106 and P104, affect the expression of cpoA (encoding a glycosyltransferase) and of the rgtABCDHR cluster (encoding two small membrane proteins, an ABC transporter and a regulatory two-component system), respectively. cpoA and rgtABCDHR are involved in maintaining the synthesis and the proper ratio of the two major membrane glycolipids, and deletions in these genes led to complex phenotypes. In attempts to identify genetic determinants for these phenotypes, the global trancription patterns of the deletion mutants R6 delta cpoA, R6 delta rgtA and R6 delta rgtD were compared to that of the parent strain R6.
Project description:Pectobacterium atrosepticum (Pba) is a gram-negative bacterium which causes blackleg and tuber soft rot on potato. To investigate the molecular processes and responses involved in Pba-host (potato) and Pba-non-host (radish) interactions, under laboratory conditions, we used total RNA-sequencing to measure the gene expression patterns from all three species. Samples from infected and non-infected plant roots were collected after fourteen days of inoculation with Pba SCRI_1039 and subjected to total RNA-sequencing on an Illumina sequencing platform.
Project description:Background: Development and application of transcriptomics-based gene classifiers for ecotoxicological applications lag far behind those of human biomedical science. Many such classifiers discovered thus far lack vigorous statistical and experimental validations, with their stability and reliability unknown. A combination of genetic algorithm/support vector machines and genetic algorithm/K nearest neighbors were used in this study to search for classifiers of endocrine disrupting chemicals (EDCs) in zebrafish. Searches were conducted on both tissue-specific and all tissue combined datasets, either across the entire transcriptome or within individual transcription factor (TF) networks previously linked to EDC effects. Candidate classifiers were evaluated by gene set enrichment analysis (GSEA) on both the original training data and a dedicated validation dataset. Results: Multi-tissue dataset yielded no classifiers. Among the 19 chemical-tissue conditions evaluated, the transcriptome-wide searches yielded classifiers for six of them, each having approximately 20 to 30 gene features unique to a condition. Searches within individual TF networks produced classifiers for 15 chemical-tissue conditions, each containing 100 or fewer top-ranked gene features pooled from those of multiple TF networks and also unique to each condition. For the training dataset, 10 out of 11 classifiers successfully identified the gene expression profiles (GEPs) of their intended chemical-tissue conditions by GSEA. For the validation dataset, classifiers for prochloraz-ovary and flutamide-ovary also correctly identified the GEPs of corresponding conditions while no classifier could predict the GEP from prochloraz-brain. Conclusions: The discrepancies in the performance of these classifiers were attributed in part to varying data complexity among the conditions, as measured to some degree by Fisher’s discriminant ratio statistic. This variation in data complexity could likely be compensated by adjusting sample size for individual chemical-tissue conditions, thus suggesting a need for a preliminary survey of transcriptomic responses before launching a full scale classifier discovery effort. While GSEA appeared to provide a flexible and effective tool for application of gene classifiers, a similar but more refined algorithm, connectivity mapping, should also be explored for ecotoxicological applications. The distribution characteristics of classifiers across tissues, chemicals, and TF networks suggested a differential biological impact among the EDCs on zebrafish transcriptome involving some basic cellular functions. chemical abbreviations: EE2, 17α-ethynyl estradiol; FAD, fadrozole; TRB, 17 -trenbolone; FIP, fipronil; PRO, prochloraz; FLU, flutamide; MUS, muscimol; KET, ketoconazole; TRI, trilostane; VIN, vinclozolin Since this study was conducted in several phases, three different version of Agilent zebrafish two color microarrays were used based on their availability at the time. These include G2518A (designID 013223) and G2519F (designID 015064, 019161). There were a total of 58 treatment conditions with various combinations of chemical, tissue type, exposure time, and gender. Each condition contained eight to 12 independent samples, half from chemical-treated fish and half from water- control fish.
Project description:The profiles of transcripts of Mo7e cells transduced with control- or p210(BCR-ABL)-GFP viruses were compared using microarrays to investigate