Project description:Investigation of whole genome gene expression level changes in Pichia stipitis CBS 6054 grown aerobically in xylose, compared to the same strain grown aerobically in glucose.
Project description:To reveal the role of sulfur metabolism genes in memory formation processes, transcriptome libraries were obtained from the heads of 5-day-old naive males. The libraries were generated from Drosophila strains created in our laboratory with deleted cbs genes ( CBS-/-(5) and CBS-/-(8), cse (CSE-/-) and strains with double deletion of cbs and cse genes (CBS-/-,CSE-/-(1) and (CBS-/-,CSE-/-(2). Strain 58492, in which deletions were introduced by the CRISP/CAS9 method, was used as a control strain.
Project description:Investigation of whole genome gene expression level changes in Pichia stipitis CBS 6054 grown aerobically in xylose, compared to the same strain grown aerobically in glucose. A six array study using total RNA recovered from three separate cultures of Pichia stipitis CBS 6054 grown in glucose and three separate cultures of Pichia stipitis CBS 6054 grown in xylose. Each array measures the expression level of 374,100 probes (average probe length 53.6 +/- 4.1 nt) tiled across the Pichia stipitis CBS 6054 genome with a median spacing distance of 33 nt. During data processing, probes are filtered to include only those probes corresponding to annotated protein-coding genes.
Project description:Pain management is an important issue in veterinary medicine, requiring biomarkers with high sensitivity and specificity for the timely and effective treatment. Emerging evidence suggests that miRNAs are promising pain-related markers. The aims were to profile the circulating miRNA signature in plasma of turtles (Trachemys scripta) and point out potential candidate biomarkers of pain. Plasma of female turtles underwent surgical gonadectomy were collected 24h pre-surgery, and 2.5h and 36 h post-surgery. The expression of miRNAs was profiled by Next Generation Sequencing and the dysregulated miRNAs were validated using RT-qPCR. The diagnostic value of miRNAs was calculated by ROC curves.
