Project description:Whole hearts from wild-type and Na,K-ATPase alpha 1 het. mice. Adult male, 8-16 weeks old on a 129/BSwiss background. Keywords: repeat sample
Project description:RNA was extracted from each brain of 3 wild-type and 3 MSA Transgenic mice at the age of 16 weeks and microarray analysis was performed on each sample.
Project description:Low fertility remains a leading cause of poor productivity in dairy cattle. In this context, there is significant interest in developing novel tools for accurate early diagnosis of pregnancy. MicroRNAs (miRNAs) are short RNA molecules which are critically involved in regulating gene expression during both health and disease. MiRNAs have been shown to regulate ovarian function, uterine receptivity, embryonic development and placental function. Circulating miRNAs can provide useful biomarkers of tissue function and disease; importantly, differential miRNA profiles have been linked to pregnancy and preeclampsia in humans. This study sought to establish the potential of circulating miRNAs as biomarkers of early pregnancy in cattle. We applied Illumina small-RNA sequencing to profile miRNAs in plasma samples collected from eight non-pregnant heifers on Days 0, 8 and 16 of the oestrous cycle and 11 heifers on Days 16 and 24 of pregnancy. We sequenced a total of 46 samples and generated 9.2 million miRNA reads per sample. There were no differences in miRNA read abundance between any of the pregnant and non-pregnant time-points (FDR > 0.1). As a complementary approach, we analysed sample pools (3-4 samples/pool) corresponding to Days 0, 8 and 16 of the oestrous cycle and Day 24 of pregnancy (n = 3 pools/group) using Qiagen PCR arrays. A total of 16 miRNAs were differentially expressed (FDR < 0.1) in plasma between pregnant and non-pregnant animals. RT-qPCR validation using the same plasma samples confirmed that miR-26a was differentially upregulated on Day 16 pregnant relative to non-pregnant heifers (1.7-fold; P = 0.043), whereas miR-1249 tended to be upregulated in Day 16 pregnant heifers (1.6-fold; P = 0.081). Further validation in an independent group of heifers confirmed an increase in plasma miR-26a levels during early pregnancy, which was significant only on Day 24 (2.0-fold; P = 0.027). Through genome-wide analyses we have successfully profiled plasma miRNA populations associated with early pregnancy in cattle. We have identified miR-26a as a potential circulating biomarker of early pregnancy.
2016-08-03 | GSE85090 | GEO
Project description:Complete genome sequencing of two pathogens isolated from a sputum sample
Project description:A total of 16 samples were processed for RNA sequencing. Sequencing data passed quality control was referred to as clean data. In this project, a total of 386.81 M Reads (115.24 Gb) Clean Data were obtained with minimum yield of 6.02 Gb clean data per sample. Percentage of Q30 bases in each sample was above 93.64 %.
Project description:Viral genome sequencing is critical for understanding viral biology, identifying strain mutations, and managing public health during pandemics. Although sequencing technologies have progressed over the years in terms of throughput and cost, a portable platform that integrates sample processing, library preparation, and sequencing remains critical for point-of-care viral sequencing that combats viral outbreaks in the field. In here, we demonstrate a semi-automated, field-deployable microreactor system to produce nanopore sequencing libraries from viral samples. The system integrates isothermal amplification, purification, and enzymatic processing within a closed-channel format, minimizing contamination risk and operational complexity. Using Senecavirus A (SVA) as a surrogate for high-consequence pathogens, we demonstrate the system’s ability to prepare sequencing libraries targeting three dispersed genomic regions comprising ~16% of the viral genome and identify single nucleotide variations with high confidence. Together with a portable nanopore sequencer, this microreactor offers a robust solution for decentralized genomic surveillance and rapid diagnostics in resource-limited or outbreak-prone environments.