Project description:We analysed DNA from two brain regions (cerebellum, CER and frontal cortex, FC) from 4 Parkinson's disease (PD) and 4 control brains on a custom design 8x60k Agilent aCGH targeted to PD genes. All brain DNA samples were hybridised with Agilent sex-matched reference DNA, and three CER samples were hybridised against the FC of the same brain, with a dye swap in one. Male and female reference DNA were hybridised to eachother. The samples were then re-extracted with additional protocols, and hybridisations were performed for two CER samples betwen DNA extracted from the same CER with different protocols, and for one brain between the CER and FC new extraction.
Project description:Soil is an inherently complex matrix and as such, we believe when performing culture-independent microbial community analyses using the 'omics' suite of tools, all biomolecules investigated should be co-extracted from the same biological sample. To this end, we developed a robust, cost-effective DNA, RNA and protein co-extraction method for soil. The samples deposited here represent 3 biological replicates from one of eight soil types tested in this work.
Project description:RNA-seq workflows have become progressively more efficient over time however, RNA extraction still remains a significant bottleneck. For small numbers of sample, highly efficient RNA extraction is simple to perform but becomes costly and laborious at the scale of hundreds of samples. Our prior work has demonstrated that qPCR can be accurately performed using bulk cells samples lysate instead of RNA extraction. We combined this method with the recently developed simple method for rapid RNA-seq library prep; Smart-3SEQ (Foley et al., 2019) and hypothesized that bulk RNA-seq can be performed in a multi-well plate format, and at low cost by performing RNA-seq library prep cDNA synthesis using in-lysate RNA followed by Smart-3SEQ. The result shows success of our approach in various levels: 1) all quality control measures were achieved, 2) Gene expression profiles, gene differential expression and the response patterns reported by in-lysate and purified RNA library highly correlate with each other, and 3) in-lysate RNA-seq library prep performed similar to the gold standard used here (Illumina Truseq) for DEG calling.
Project description:Abstract: In order to understand the expression patterns of miRNAs in alfalfa under alkali stress, small RNA sequencing was performed on alfalfa roots at different time points under alkali stress, and miRNAs were identified and analyzed.
Project description:A study of pre-analytical variables and optimization of extraction method for circulating tumor DNA measurements by digital droplet PCR
Project description:We studied the application of transcriptome technology in alfalfa selenium (Se) treatment. Alfalfa had different states after different concentrations of Se treatment. It shows that lower concentration promoted growth and higher concentration produced toxicity. The positive regulatory effects of moderate Se (100 mg / kg) on alfalfa was determined through preliminary experiments, and the gene expression of Alfalfa under this treatment was further analyzed by transcriptome.
