Gene detection and expression profiling of Neisseria meningitidis using NanoString nCounter platform

Yenenesh K Tekletsion; Hannah Christensen; Adam Finn

doi:10.1016/j.mimet.2018.02.003

Gene detection and expression profiling of Neisseria meningitidis using NanoString nCounter platform

J Microbiol Methods. 2018 Mar:146:100-103. doi: 10.1016/j.mimet.2018.02.003. Epub 2018 Feb 7.

Authors

Yenenesh K Tekletsion¹, Hannah Christensen², Adam Finn³

Affiliations

¹ School of Cellular and Molecular Medicine, University of Bristol, BS8 1TD Bristol, UK. Electronic address: yenenesh.tekletsion@bristol.ac.uk.
² Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN Bristol, UK.
³ School of Cellular and Molecular Medicine, University of Bristol, BS8 1TD Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN Bristol, UK.

PMID: 29425856
DOI: 10.1016/j.mimet.2018.02.003

Abstract

Detection of bacterial gene transcripts in low density mucosal samples is challenging. We evaluated the NanoString nCounter system for transcript detection in Neisseria meningitidis (Nm) cultures. The method was sensitive, reproducible (R² = 0.99) and demonstrated changes in gene expression. Studying Nm transcripts from pharyngeal samples may be feasible using this approach.

Keywords: Gene expression; NanoString; Neisseria meningitidis; Transcriptomics; mRNA.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Diagnostic Tests, Routine / methods
Gene Expression Profiling / instrumentation
Gene Expression Profiling / methods*
Gene Expression Regulation, Bacterial
Genes, Bacterial / genetics
Humans
Neisseria meningitidis / genetics*
Reproducibility of Results
Sensitivity and Specificity
Stress, Physiological