TY - JOUR
T1 - Evaluating Robustness and Sensitivity of the NanoString Technologies nCounter Platform to Enable Multiplexed Gene Expression Analysis of Clinical Samples
AU - Wappett, Mark
AU - Veldman-Jones, Margaret H.
AU - Brant, Roz
AU - Rooney, Claire
AU - Geh, Catherine
AU - Emery, Hollie
AU - Harbron, Chris G.
AU - Wappett, Mark
AU - Sharpe, Alan
AU - Dymond, Michael
AU - Barrett, J. Carl
AU - Harrington, Elizabeth A.
AU - Marshall, Gayle
N1 - ©2015 American Association for Cancer Research.
PY - 2015/6/11
Y1 - 2015/6/11
N2 - Analysis of clinical trial specimens such as formalin-fixed paraffin-embedded (FFPE) tissue for molecular mechanisms of disease progression or drug response is often challenging and limited to a few markers at a time. This has led to the increasing importance of highly multiplexed assays that enable profiling of many biomarkers within a single assay. Methods for gene expression analysis have undergone major advances in biomedical research, but obtaining a robust dataset from low-quality RNA samples, such as those isolated from FFPE tissue, remains a challenge. Here, we provide a detailed evaluation of the NanoString Technologies nCounter platform, which provides a direct digital readout of up to 800 mRNA targets simultaneously. We tested this system by examining a broad set of human clinical tissues for a range of technical variables, including sensitivity and limit of detection to varying RNA quantity and quality, reagent performance over time, variability between instruments, the impact of the number of fields of view sampled, and differences between probe sequence locations and overlapping genes across CodeSets. This study demonstrates that Nanostring offers several key advantages, including sensitivity, reproducibility, technical robustness, and utility for clinical application.
AB - Analysis of clinical trial specimens such as formalin-fixed paraffin-embedded (FFPE) tissue for molecular mechanisms of disease progression or drug response is often challenging and limited to a few markers at a time. This has led to the increasing importance of highly multiplexed assays that enable profiling of many biomarkers within a single assay. Methods for gene expression analysis have undergone major advances in biomedical research, but obtaining a robust dataset from low-quality RNA samples, such as those isolated from FFPE tissue, remains a challenge. Here, we provide a detailed evaluation of the NanoString Technologies nCounter platform, which provides a direct digital readout of up to 800 mRNA targets simultaneously. We tested this system by examining a broad set of human clinical tissues for a range of technical variables, including sensitivity and limit of detection to varying RNA quantity and quality, reagent performance over time, variability between instruments, the impact of the number of fields of view sampled, and differences between probe sequence locations and overlapping genes across CodeSets. This study demonstrates that Nanostring offers several key advantages, including sensitivity, reproducibility, technical robustness, and utility for clinical application.
KW - Gene Expression Profiling/methods
KW - Humans
KW - Nanotechnology/methods
KW - Oligonucleotide Array Sequence Analysis/methods
KW - Reproducibility of Results
KW - Sensitivity and Specificity
U2 - 10.1158/0008-5472.CAN-15-0262
DO - 10.1158/0008-5472.CAN-15-0262
M3 - Review article
C2 - 26069246
SN - 0008-5472
VL - 75
SP - 2587
EP - 2593
JO - Cancer Research
JF - Cancer Research
IS - 13
ER -