TY - JOUR
T1 - Oxford Screening CSF and Respiratory samples ('OSCAR')
T2 - results of a pilot study to screen clinical samples from a diagnostic microbiology laboratory for viruses using Illumina next generation sequencing
AU - Sharp, Colin
AU - Golubchik, Tanya
AU - Gregory, William F
AU - McNaughton, Anna L
AU - Gow, Nicholas
AU - Selvaratnam, Mathyruban
AU - Mirea, Alina
AU - Foster, Dona
AU - Andersson, Monique
AU - Klenerman, Paul
AU - Jeffery, Katie
AU - Matthews, Philippa C
PY - 2018/2/9
Y1 - 2018/2/9
N2 - OBJECTIVES: There is increasing interest in the use of metagenomic (next generation sequencing, NGS) approaches for diagnosis of infection. We undertook a pilot study to screen samples submitted to a diagnostic microbiology laboratory in a UK teaching hospital using Illumina HiSeq. In the short-term, this small dataset provides insights into the virome of human respiratory and cerebrospinal fluid (CSF) samples. In the longer term, assimilating metagenomic data sets of this nature can inform optimization of laboratory and bioinformatic methods, and develop foundations for the interpretation of results in a clinical context. The project underpins a larger ongoing effort to develop NGS pipelines for diagnostic use.DATA DESCRIPTION: Our data comprise a complete metagenomic dataset from 20 independent samples (10 CSF and 10 respiratory) submitted to the clinical microbiology laboratory for a large UK teaching hospital (Oxford University Hospitals NHS Foundation Trust). Sequences have been uploaded to the European Nucleotide Archive and are also presented as Krona plots through which the data can be interactively visualized. In the longer term, further optimization is required to better define sensitivity and specificity of this approach to clinical samples.
AB - OBJECTIVES: There is increasing interest in the use of metagenomic (next generation sequencing, NGS) approaches for diagnosis of infection. We undertook a pilot study to screen samples submitted to a diagnostic microbiology laboratory in a UK teaching hospital using Illumina HiSeq. In the short-term, this small dataset provides insights into the virome of human respiratory and cerebrospinal fluid (CSF) samples. In the longer term, assimilating metagenomic data sets of this nature can inform optimization of laboratory and bioinformatic methods, and develop foundations for the interpretation of results in a clinical context. The project underpins a larger ongoing effort to develop NGS pipelines for diagnostic use.DATA DESCRIPTION: Our data comprise a complete metagenomic dataset from 20 independent samples (10 CSF and 10 respiratory) submitted to the clinical microbiology laboratory for a large UK teaching hospital (Oxford University Hospitals NHS Foundation Trust). Sequences have been uploaded to the European Nucleotide Archive and are also presented as Krona plots through which the data can be interactively visualized. In the longer term, further optimization is required to better define sensitivity and specificity of this approach to clinical samples.
KW - Cerebrospinal Fluid/virology
KW - High-Throughput Nucleotide Sequencing/methods
KW - Humans
KW - Metagenomics/methods
KW - Pilot Projects
KW - Sequence Analysis, DNA/methods
KW - Sputum/virology
U2 - 10.1186/s13104-018-3234-8
DO - 10.1186/s13104-018-3234-8
M3 - Article (Academic Journal)
C2 - 29426368
SN - 1756-0500
VL - 11
SP - 120
JO - BMC Research Notes
JF - BMC Research Notes
IS - 1
ER -