Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease - 1st cohort

ABSTRACT: In order to identify differentially abundant proteins, human plasma samples from COVID-19 patients with either a mild or moderate (MM) or a critical or severe (CS) disease course from the acute phases of infection were analyzed on antibody microarrays targeting 351 different proteins by 517 antibodies.

ORGANISM(S): Homo sapiens

SUBMITTER: Christoph Schröder

PROVIDER: E-MTAB-12779 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Post-transcriptional regulation of gene expression accomplished by microRNAs (miRNAs) importantly affects the complex gene regulatory network. In particular, miRNAs are known to be involved in recurrent motifs named miRNA-mediated feed forward loops (FFLs) where a transcription factor (TF) regulates a miRNA and they both regulate the expression level of a target RNA. Here, we focus on the identification of active FFLs during adipogenic differentiation. A list of putative feed-forward loops was generated based on sequence analysis of conserved and overrepresented motifs in the regulatory regions. Since this approach is not specific for adipogenesis and is known to generate false positive feed-forward loops, an experiment was designed to select active ones based on their dynamics using a model-based approach. Microarray time series of gene and miRNA expression data were collected at seven time points on human multipotent adipose-derived stem (hMADS) cells upon adipogenic differentiation. Three different dynamic models, sharing the same FFL topology but incorporating descriptions of increasing complexity of miRNA and mRNA dynamics, are identified on miRNA and mRNA expression data and compared based on identification criteria, namely: goodness of fit, precision of the estimates and comparison with submodels. 24 FFLs, able to properly reproduce data, are selected as active out of the 329 putative ones. This method considerably reduces the search space for new interactions between TFs, miRNAs and mRNAs and provides interesting biological results identifying genes known from the literature to be regulators in adipogenesis and adipocyte-related functions that can be interpreted as positive control of the validity of the apporoach. Therefore, the genes in the selected FFLs that are not yet known to be involved in this context are potential novel players in this regulatory network of adipogenesis and adipocyte function. Two independent cell culture experiments were performed as biological replicates during adipogenic differentiation of human mesenchymal stem cell. Cells where harvested at the pre-confluent stage as reference (day -3) and at seven subsequent time points during human adipogenic differentiation: day -2 and 0 before, and 1, 2, 5, 10, 15 days after induction of differentiation. All hybridizations were repeated with reversed dye assignment (dye-swap).

Project description:Enterotoxin-producing C. perfringens type A is a common cause of food poisonings. The cpe encoding the enterotoxin can be chromosomal (genotype IS1470) or plasmid-borne (genotypes IS1470-like-cpe or IS1151-cpe). The chromosomal cpe-carrying C. perfringens are a more common cause of food poisonings than plasmid-borne cpe-genotypes. The chromosomal cpe-carrying C. perfringens type A strains are generally more resistant to most food-processing conditions than plasmid-borne cpe-carrying strains. On the other hand, the plasmid-borne cpe-positive genotypes are more commonly found in human feces than chromosomal cpe-positive genotypes, and humans seem to be a reservoir for plasmid-borne cpe-carrying strains. Thus, it is possible that the epidemiology of C. perfringes type A food poisonings caused by plasmid-borne and chromosomal cpe-carrying strains is different. A DNA microarray was designed for analysis of genetic relatedness between the different cpe-positive and cpe-negative genotypes of C. perfringens strains isolated from human, animal, environmental and food samples. The DNA microarray contained two probes for all protein-coding sequences in the three genome-sequenced strains (C. perfringens type A strains 13, ATCC13124, and SM101). The chromosomal and plasmid-borne C. perfringens genotypes were grouped into two distinct clusters, one consisting of the chromosomal cpe-genotypes and the other consisting of plasmid-borne cpe-genotypes. Analysis of the variable gene pool complemented with the growth studies demonstrate different carbohydrate and amine metabolism in the chromosomal and plasmid-borne cpe-carrying strains, suggesting different epidemiology of the cpe-positive C. perfringens strain groups. Array CGH. Two-color hybridizations on 8x15K Agilent arrays. Eight reference strain hybridizations. Normalization was based on log-ratios against the reference strain. For each sample, 8 normalization factors were calculated, one against each reference hybridization, and the median normalization factor was used. This was repeated for each sample hybridization separately.

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Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease - 1st cohort

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