Project description:To unravel distinct pattern of metagenomic surveillance and respiratory microbiota between Mycoplasma pneumoniae (M. pneumoniae) P1-1 and P1-2 and explore the impact of COVID-19 pandemic on epidemiological features
Project description:Overall design Hi-C experiments were performed on untreated wild type cells at stationary and drug-treated cells (Novobiocin) of Mycoplasma Pneumoniae MPN129. We studied the chromosome organization of the genome-reduced bacterium, Mycoplasma pneumoniae, which has minimal genetic components and lacks several structural DNA-binding proteins. Platforms : Illumina HiSeq 2000 (Mycoplasma Pneumoniae MPN129)
Project description:Gastric cancer is the second most common cause of cancer death worldwide, but incidence and mortality rates show large variations across different countries. Variation in risk factors between different populations, including environmental and host factors influencing gastric cancer risk, have been reported but little is known about the biological differences between gastric cancers from different geographic locations. We set out to study genomic instability patterns of gastric cancers obtained from patients from United Kingdom (UK) and South Africa (SA). DNA was isolated from 67 gastric adenocarcinomas, 33 UK patients, 9 Caucasian SA patients and 25 native SA patients. Microsatellite instability and chromosomal instability were analyzed by PCR and microarray comparative genomic hybridization, respectively. Data was analyzed by supervised univariate and multivariate analyses as well as unsupervised hierarchical cluster analysis. Tumors from Caucasian and native SA patients showed significantly more microsatellite instable tumors (p<0.05). For the microsatellite stable tumors, geographical origin of the patients correlated with cluster membership, derived from unsupervised hierarchical cluster analysis (p=0.001). Several chromosomal alterations showed significantly different frequencies in tumors from UK patients and native SA patients, but not between UK patients and Caucasian SA patients and between native and Caucasian SA patients. In conclusion, gastric cancers from South African and UK patients show differences in genetic instability patterns, indicating possible different biological mechanisms underlying the disease.
Project description:Gastric cancer is the second most common cause of cancer death worldwide, but incidence and mortality rates show large variations across different countries. Variation in risk factors between different populations, including environmental and host factors influencing gastric cancer risk, have been reported but little is known about the biological differences between gastric cancers from different geographic locations. We set out to study genomic instability patterns of gastric cancers obtained from patients from United Kingdom (UK) and South Africa (SA). DNA was isolated from 67 gastric adenocarcinomas, 33 UK patients, 9 Caucasian SA patients and 25 native SA patients. Microsatellite instability and chromosomal instability were analyzed by PCR and microarray comparative genomic hybridization, respectively. Data was analyzed by supervised univariate and multivariate analyses as well as unsupervised hierarchical cluster analysis. Tumors from Caucasian and native SA patients showed significantly more microsatellite instable tumors (p<0.05). For the microsatellite stable tumors, geographical origin of the patients correlated with cluster membership, derived from unsupervised hierarchical cluster analysis (p=0.001). Several chromosomal alterations showed significantly different frequencies in tumors from UK patients and native SA patients, but not between UK patients and Caucasian SA patients and between native and Caucasian SA patients. In conclusion, gastric cancers from South African and UK patients show differences in genetic instability patterns, indicating possible different biological mechanisms underlying the disease. 67 gastric adenocarcinomas, 33 UK patients, 9 Caucasian SA patients and 25 native SA patients.
Project description:Using Mycoplasma pneumoniae as a model organism, we conditionally depleted the two essential ATP-dependent proteases (Lon and FtsH) of this bacterium, by engineering three strains carrying a Lon and/or FtsH inducible expression locus. An integrative comparative study combining label-free shotgun proteomics and RNA-seq allowed us to decipher the global cellular response to Lon and FtsH depletion and to define protease substrates in this genome-reduced organism.
Project description:Comparative genomic hybridisation of Streptococcus pneumoniae isolates from a single clonal complex, in order to determine genomic diversity. Isolates were selected from a range of tissue types and serotypes in order to cover the full diversity of the clone, and also in order to try and identify tissue-specific genes Biological replicates: 19 clonal complex 199 S. pneumoniae isolates. One clonal complex 180 isolate used as an outgroup. Independently grown and isolated. One isolate per array
Project description:Obesity represents a global burden with an increasing worldwide prevalence, especially in women of reproductive age. Obesity in women, defined as a body mass index (BMI) > 30 kg/m2, has a worldwide prevalence ~21%, however, it exceeds 30% in countries such as Chile, Mexico, United States, and the United Kingdom. Growing evidence support the notion that pre-gestational obesity confers an increased risk for the development of diabetes, obesity and chronic inflammatory diseases in the offspring later in life. In fact, maternal obesity during gestation is associated with an increased risk of asthma and wheezing during early or late infancy, in terms of medication and need for hospital admission. Here we report changes in DNA methylation at a genomic level in monocytes isolated by adherence from cord blood of neonates born to women with obesity and integrate these changes to reveal the epigenetic programming of immune signaling pathways resulting from maternal obesity.
Project description:To gain insight into ncRNAs functionality in bacteria, we studied the correlation of gene expression from Mycoplasma pneumoniae's ncRNAs with their overlapping ORFs over 10 different time points. This experiment contains RNAseq pair-end data from this 10 time points along Mycoplasma pneumoniae growth cycle.