Literature DB >> 26069246

Evaluating Robustness and Sensitivity of the NanoString Technologies nCounter Platform to Enable Multiplexed Gene Expression Analysis of Clinical Samples.

Margaret H Veldman-Jones1, Roz Brant2, Claire Rooney2, Catherine Geh2, Hollie Emery2, Chris G Harbron2, Mark Wappett2, Alan Sharpe2, Michael Dymond2, J Carl Barrett3, Elizabeth A Harrington2, Gayle Marshall2.   

Abstract

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. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26069246     DOI: 10.1158/0008-5472.CAN-15-0262

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  116 in total

1.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

2.  High-accuracy determination of internal circadian time from a single blood sample.

Authors:  Nicole Wittenbrink; Bharath Ananthasubramaniam; Mirjam Münch; Barbara Koller; Bert Maier; Charlotte Weschke; Frederik Bes; Jan de Zeeuw; Claudia Nowozin; Amely Wahnschaffe; Sophia Wisniewski; Mandy Zaleska; Osnat Bartok; Reut Ashwal-Fluss; Hedwig Lammert; Hanspeter Herzel; Michael Hummel; Sebastian Kadener; Dieter Kunz; Achim Kramer
Journal:  J Clin Invest       Date:  2018-08-06       Impact factor: 14.808

3.  Novel In Situ Hybridization and Multiplex Immunofluorescence Technology Combined With Whole-slide Digital Image Analysis in Kidney Transplantation.

Authors:  Henrik Junger; Dejan Dobi; Adeline Chen; Linda Lee; Joshua J Vasquez; Qizhi Tang; Zoltan G Laszik
Journal:  J Histochem Cytochem       Date:  2020-07-01       Impact factor: 2.479

4.  A Sensitive NanoString-Based Assay to Score STK11 (LKB1) Pathway Disruption in Lung Adenocarcinoma.

Authors:  Lu Chen; Brienne E Engel; Eric A Welsh; Sean J Yoder; Stephen G Brantley; Dung-Tsa Chen; Amer A Beg; Chunxia Cao; Frederic J Kaye; Eric B Haura; Matthew B Schabath; W Douglas Cress
Journal:  J Thorac Oncol       Date:  2016-02-23       Impact factor: 15.609

5.  Beyond the H&E: Advanced Technologies for in situ Tissue Biomarker Imaging.

Authors:  Lauren E Himmel; Troy A Hackett; Jessica L Moore; Wilson R Adams; Giju Thomas; Tatiana Novitskaya; Richard M Caprioli; Andries Zijlstra; Anita Mahadevan-Jansen; Kelli L Boyd
Journal:  ILAR J       Date:  2018-12-01

Review 6.  Current methodologies for molecular screening of thyroid nodules.

Authors:  Elisabetta Macerola; Fulvio Basolo
Journal:  Gland Surg       Date:  2018-08

7.  Low MGMT digital expression is associated with a better outcome of IDH1 wildtype glioblastomas treated with temozolomide.

Authors:  Isabella Gomes; Daniel Antunes Moreno; Mariana Bisarro Dos Reis; Luciane Sussuchi da Silva; Letícia Ferro Leal; Gisele Melo Gonçalves; Caio Augusto Pereira; Marco Antônio Oliveira; Marcus de Medeiros Matsushita; Rui Manuel Reis
Journal:  J Neurooncol       Date:  2021-01-05       Impact factor: 4.130

8.  Global microRNA profiling for diagnostic appraisal of melanocytic Spitz tumors.

Authors:  Nicholas Latchana; Kelly Regan; J Harrison Howard; Jennifer H Aldrink; Mark A Ranalli; Sara B Peters; Xiaoli Zhang; Alejandro Gru; Philip R O Payne; Lorena P Suarez-Kelly; William E Carson
Journal:  J Surg Res       Date:  2016-07-04       Impact factor: 2.192

9.  Validation of the 12-gene Predictive Signature for Adjuvant Chemotherapy Response in Lung Cancer.

Authors:  Yang Xie; Wei Lu; Shidan Wang; Ximing Tang; Hao Tang; Yunyun Zhou; Cesar Moran; Carmen Behrens; Jack A Roth; Qinghua Zhou; David H Johnson; Stephen G Swisher; John V Heymach; Vassiliki A Papadimitrakopoulou; Guanghua Xiao; John D Minna; Ignacio I Wistuba
Journal:  Clin Cancer Res       Date:  2018-10-04       Impact factor: 12.531

10.  Matrix metalloproteinase 9 is associated with peritoneal membrane solute transport and induces angiogenesis through β-catenin signaling.

Authors:  Manreet Padwal; Imad Siddique; Lili Wu; Katelynn Tang; Felix Boivin; Limin Liu; Jennifer Robertson; Darren Bridgewater; Judith West-Mays; Azim Gangji; Kenneth Scott Brimble; Peter J Margetts
Journal:  Nephrol Dial Transplant       Date:  2017-01-01       Impact factor: 5.992

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