Hemolytic bacteria
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA659552 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We investigated the RBCs of a hemolytic anemia patient using quantitative proteomics. We used stable isotope dimethyl labeling to accurately quantify the RBC proteins. As controls, 1) samples of four healthy subjects were taken to account for normal variation in healthy individuals, and 2) samples of two non-spherocytic hemolytic anemia patients were taken to account for differences in protein levels due to elevated reticulocyte content. We used a combination of strong cation exchange (SCX) chromatography with nanoLC-MS/MS, enabling quantification of RBC proteins.
2016-09-27 | PXD001837 | Pride
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2016-08-18 | E-MTAB-3522 | biostudies-arrayexpress
Project description:Xinglinwan reservoir 2016-2017 bacteria Raw sequence reads
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Project description:62 individual Brassica napus plants of the same accession grown in the same field were expression-profiled in autumn 2016 and phenotyped extensively until harvest in spring 2017. Machine learning models were used to link gene expression to the phenotypes of individual plants, with the purpose of assessing how much phenotype information in encoded in ‘noisy’ gene expression variation among individual plants of the same background grown under the same uncontrolled field conditions. Rosette leaf 8 blades of 62 individual Brassica napus plants of the same winter-type accession (BnASSYST-120, Darmor) grown in the same field (50°58'24.9\\"N 3°46'49.1\\"E, Merelbeke, Belgium) were RNA-seq profiled. No treatments or stresses were applied, all plants were profiled individually under uncontrolled field conditions. Sown at 2016-09-08, rosette leaf 8 sampled for RNA-seq at 2016-11-28, plants harvested at 2017-06-13.
2022-10-10 | E-MTAB-11904 | biostudies-arrayexpress
Project description:In this experiment, we explore if circulating microRNAs are altered in patients with atypical hemolytic uremic syndrome (aHUS). To do so, we analyze 4 different pooled samples of aHUS (Pool 1-4) in the arrays and 2 pools of age and gender-matched control samples (Pool F and Pool M). aHUS pools consist of patients samples with different characteristics regarding the presence of complement gene mutations: Pool 1: patients without identified mutations (n=5) Pool 2: patients with mutations in CFH (n=5) Pool 3: patients with mutations in MCP (n=5) Pool 4: patients with mutations in C3 or CFB (n=5) In the case of the control samples, pool F consists of 10 samples of healthy women and pool M consists of 10 samples of healthy men. In conclusion, circulating miRNAs levels are altered in aHUS compared with controls. This alteration is variable and could be mediated by the presence of the complement genetic defect.
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Project description:These cultures were grown to examine the differences in Agr-regulated virulence factor gene expression between wild-type S. aureus FRI1169 and a non-hemolytic variant isolated from a biofilm inoculated with FRI1169. The study is described more thoroughly in the paper "Generation of virulence factor variants in Staphylococcus aureus biofilms", Yarwood et al., J. Bacteriol. 2007. Keywords: Wild-type versus mutant comparison, single time-point
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