Project description:RNA-Seq technique was applied to investigate the effects of two semen collection methods (Pelleted vs Liquefied) and two sperm purification methods (SCLB vs PS) to the integrity of isolated RNAs at different perspectives. The same set of semen samples were applied to investigate the qualitative and quantitative effect of semen collection methods and sperm cell purification methods on sperm transcript profiling.
Project description:RNA-Seq technique was applied to investigate the effects of two semen collection methods (Pelleted vs Liquefied) and two sperm purification methods (SCLB vs PS) to the integrity of isolated RNAs at different perspectives.
Project description:Peripheral Blood gene expression is widely used in the discovery of biomarkers and development of therapeutics. Recently, a spate of commercial blood collection and preservation systems have been introduced with proprietary variations that may differentially impact the transcriptomic profiles. Comparative analysis of these collection platforms will help optimize protocols to detect, identify, and reproducibly validate true biological variance among subjects. In the current study, we tested two recently introduced whole blood collection methods, RNAgard® and PAXgene™ RNA, in addition to the traditional method of peripheral blood mononuclear cells (PBMCs) separated from whole blood and preserved in Trizol reagent. Study results revealed striking differences in the transcriptomic profiles from the three different methods that imply ex vivo changes in gene expression occurred during the blood collection, preservation, and mRNA extraction processes. When comparing the ability of the three preservation methods to accurately capture individuals’ expression differences, RNAgard® outperformed PAXgene™ RNA, and both showed significantly better individual separation of transcriptomic profiles than PBMCs. Hence, our study recommends using a single blood collection platform, and strongly cautions against combining methods during the course of a defined study.
Project description:Diaminoquinazolines represent a privileged scaffold for antimalarial discovery, including use as putative Plasmodium histone lysine methyltransferase inhibitors (BIX-01294). Despite this, robust evidence for their molecular targets, proteome-wide, is lacking. Here we report the design and development of a small-molecule photo-crosslinkable probe to investigate the targets of our diaminoquinazoline series. We demonstrate the effectiveness of our designed probe for photoaffinity labelling of Plasmodium lysates and initial pull-down proteomics experiments identified proteins from different classes enriched by the probe, highlighting the suitability of the developed probe as a valuable tool for protein identification in Plasmodium falciparum.
Project description:A series of experiments comparing the gene expression response before and after 30 min 0.7M NaCl exposure in WT and mutant yeast strains. Mutant strains were identified as having a defect in acquiring resistance to H2O2 following mild NaCl pretreatment. The mutants in this study were taken from the Yeast Knock-Out Collection, mat a.
Project description:Transcription profiling time series of lymph node, liver and spleen from two cattle breeds infected with Trypanosoma congolense to investigate breed differences in susceptibility
Project description:We performed deep targeted somatic mutation analysis to identify cases of clonal hematopoiesis (CH) associated with pre-leukemic mutations. For the healthy cohort, we used our CH panel V3, containing 705 probes, covering leukemia-related Single Nucleotide Variants (SNVs) and Indels in 47 genes, complemented by two amplicon sequencing reactions to cover GC-rich regions in SRSF2 and ASXL1. For the cytopenic cohort, we used our CH panel V4 (described in detail in Biezuner, T. et al., NAR Genom Bioinform, 2022). Both panels were designed to ensure capture uniformity and specificity. Each DNA sample was sequenced twice with a minimum depth of 1,000,000 paired-end reads on an Illumina Novaseq 6000 machine.
