Dataset Information

GC_GNPS_TUTORIAL_20Files_Subset

ABSTRACT: Test data set comprised of 20 files from Imperial College London study of breathonomics of OG cancer.

INSTRUMENT(S): Agilent 7890 GC 5977 MSD

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: George B Hanna

PROVIDER: MSV000084914 | GNPS | Thu Feb 06 04:18:00 GMT 2020

REPOSITORIES: GNPS

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Project description:While the majority of infants infected with respiratory syncytial virus (RSV) exhibit mild or no symptoms, approximately 3 million children under the age of five are hospitalized every year due to complications from RSV. This research sought to explore the biological processes and related biomarkers responsible for the varied manifestations of RSV disease in young infants. The goal is to pave the way for a more precise categorization of RSV-infected infants based on their medical requirements. Whole blood samples are collected from infant case-control cohort study, the RESCEU case-control cohort is a multinational, multicenter, observational study (clinical trial registration number: NCT03756766). Infants < 12 months old with RSV disease were recruited from the University Medical Center Utrecht (UMCU) in The Netherlands, Hospital Clínico Universitario de Santiago (SERGAS) in Spain, Imperial College (IMPERIAL) National Health Service Trust (NHS) and Oxford University Hospital NHS Trust (OXFORD) in the United Kingdom during the RSV seasons 2017-2018, 2018-2019, and 2019-2020. Healthy controls without underlying comorbidities were recruited outside of the RSV season. Eligibility criteria included hospitalization for less than 48 hours at enrolment or within 96 hours of disease onset, no previous receipt of medications to treat RSV infection, no prior exposure to an investigational RSV vaccine or medication, no previous receipt of immunoglobulins or monoclonal antibodies, and had not used montelukast or oral steroids within seven days before enrolment. Infants with co-morbidities were not evaluated in the manuscript. RSV was detected using RSV point-of-care test (POCT) by either a rapid antigen detection test (Alere I) (Alere Inc, Waltham, Massachusetts) or rapid RSV polymerase chain reaction (PCR) test at the hospital setting, or a RSV PCR test at the laboratory. Convalescence samples were collected 7 ±1 weeks after a positive RSV diagnostic test result. We used microarray to assist us to identify biomarkers for severe RSV disease.

Project description:In order to determine BCL6 target genes an EBV negative Burkitt's lymphoma cell line, DG75, was stably transfected with a tetracycline transactivator and tight doxycycline responsive expression of GFP was established. The endogenous BCL6 genes of this cell line were disrupted by homologous recombination and a BCL6 cDNA downstream of tetracycline responsive elements (TRE) was inserted to produce Bcl6-/-:tetBCL6-HA cells. Westerns demonstrated doxycycline dependent BCL6 expression.Bcl6-/-:tet. BCL6-HA cells (clone AB7) were either grown without doxycycline (control) or with 1 ug/ml doxycycline for 16, 48 or 96 hours. Total RNA was extracted using RNeasy minipreps (Qiagen) and concentration and quality were checked on the NanoDrop® ND- 1000 spectrophotometer (NanoDrop Technologies, USA) and the RNA Nano 6000 kit (Agilent Technologies) on a 2100 Bioanalyzer (Agilent Technologies). One hundred ng of total RNA was processed with the GeneChip® Eukaryotic Whole Transcript Sense Target Labelling Assay kit (Affymetrix) according to the manufacturer's details. Hybridisation and scanning of GeneChips® was carried out at the CSC/IC Microarray Centre, MRC Clinical Sciences Centre Imperial College London and data analysis by Bioinformatics Support Service, Imperial College London. Briefly, pre- processing of data was performed using GeneSpring GX 10.0.2 software (Agilent Technologies) which applied the "Exon RMA16"¸ algorhithm to the data set. Exon RMA16 performs background correction, quantile normalisation, median polish summarisation and variance stabilisation of 16. In background correction, intensity values of each individual array are corrected for non-specific binding by subtracting the average signal intensity of the area between spots from each probe set. Normalisation is required so multiple chips can be compared to each other. Quantile normalisation adjusts the distribution of probe intensity of each array analysed and so that the distribution of probe intensities for each array in a set of arrays is the same. Probe summarisation refers to the conversion of probe level values (there are approximately 26 probes per gene on each GeneChip®) to a single probe set expression value. Variance stabilisation of 16 refers to the addition of the value 16 to the expression values. By increasing the expression value, the variance of the data set is reduced and the distribution (defined by its mean and its variance) is stabilised.

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GC_GNPS_TUTORIAL_20Files_Subset

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