Project description:Generation of single cell and single nuclei transcriptomic data of post-mortem tissues from a Malawi cohort. We aim to explore differences in the immune response between Covid-19, Non-Covid19 LRTD (lower respiratory tract disease) and no-LTRD at the single cell level from lung, nasal and blood. Autopsies were conducted through minimally invasive autopsy using needle-biopsy. Samples were then processed with a 10X Chromium in Blantyre, Malawi. Some samples were run individually and others pooled. Pooled samples were split using single nucleotide polymorphisms or through hashtag oligonucelotides. Data processing and analysis was performed in R using the Seurat package.
Project description:Whole-genome methylomes and total transcriptomes for muscle and liver tissues of Lake Malawi cichlid species characterised in the context of phenotypic diversification.
Project description:The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations. Transcriptional signatures were identified that distinguished active TB from LTBI, and active TB from other diseases. Children were recruited from Cape Town, South Africa (n=157) and Blantyre, Malawi (n=177) who were either HIV+ or HIV - with either active TB, LTBI or OD. Blood was collected into PAX gene tubes (PreAnalytiX). Total RNA integrity was assessed using an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA). Labeled cRNA was hybridized to Illumina Human HT-12 Beadchips. Data were analysed in R.