An F2 cross between two highly divergent porcine breeds for most productive traits, including prolificacy, was generated. F2 sows were classified as of high or low prolificacy based on phenotypic records of four consecutive parities (total number of piglets born and number of piglets born alive were recorded). At the fifth gestation, sows were slaughtered at day 30-32 of gestation, and the number of corpora lutea and number of embryos were registered. Samples from different tissues were snap frozen in liquid nitrogen for further studies. Uterus samples were used for total RNA extraction and hybridized on the affymetrix porcine genechip for comparison between high and low prolificacy F2 sows.
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Specimen part
View SamplesUsing Affymetrix microarray technology we analyzed the gene expression profiles of the most important pathological categories of bladder cancer in order to detect potential marker genes. Applying an unsupervised cluster algorithm we observed clear differences between tumor and control samples, as well as between superficial and muscle invasive tumors. According to cluster results, the T1 high grade tumor type presented a global genetic profile which could not be distinguished from invasive cases. We described a new measure to classify differentially expressed genes and we compared it against the B-rank statistic as a standard method. According to this new classification method, the biological functions overrepresented in top differentially expressed genes when comparing tumor versus control samples were associated with growth, differentiation, immune system response, communication, cellular matrix and enzyme regulation. Comparing superficial versus invasive samples, the most important overrepresented biological category was growth and, specifically, DNA synthesis and mitotic cytoskeleton. On the other hand, some under expressed genes have been clearly related to muscular tissue contamination in control samples. Finally, we demonstrated that a pool strategy could be a good option to detect the best differentially expressed genes between two compared conditions.
DNA microarray expression profiling of bladder cancer allows identification of noninvasive diagnostic markers.
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Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.
Sex, Specimen part, Disease, Disease stage, Subject
View SamplesWe analysed the RNA profile of IPSC-derived dopaminergic neurons from idiophatic and genetic form (LRRK2) of Parkinsons disease (PD). Both, idiopathic and genetic form of the disease show similar expression alterations and were merged in one whole PD group. We found 437 differentially expressed genes (DEGs) in the PD group as a whole. Up-regulated DEGs (n=254) encompassed genes involved in neural functions and transcription factor functions whereas down-regulated DEGs (n=183) affected basic homeostasis. These data point towards the presence of gene - and also protein - expression changes in DAn from PD patients which co-occur simultaneously along with DNA methylation changes.
Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.
Sex, Specimen part, Disease, Disease stage
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