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Next Generation MUT-MAP, a High-Sensitivity High-Throughput Microfluidics Chip-Based Mutation Analysis Panel

Overview of attention for article published in PLOS ONE, March 2014
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Title
Next Generation MUT-MAP, a High-Sensitivity High-Throughput Microfluidics Chip-Based Mutation Analysis Panel
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090761
Pubmed ID
Authors

Erica B. Schleifman, Rachel Tam, Rajesh Patel, Alison Tsan, Teiko Sumiyoshi, Ling Fu, Rupal Desai, Nancy Schoenbrunner, Thomas W. Myers, Keith Bauer, Edward Smith, Rajiv Raja

Abstract

Molecular profiling of tumor tissue to detect alterations, such as oncogenic mutations, plays a vital role in determining treatment options in oncology. Hence, there is an increasing need for a robust and high-throughput technology to detect oncogenic hotspot mutations. Although commercial assays are available to detect genetic alterations in single genes, only a limited amount of tissue is often available from patients, requiring multiplexing to allow for simultaneous detection of mutations in many genes using low DNA input. Even though next-generation sequencing (NGS) platforms provide powerful tools for this purpose, they face challenges such as high cost, large DNA input requirement, complex data analysis, and long turnaround times, limiting their use in clinical settings. We report the development of the next generation mutation multi-analyte panel (MUT-MAP), a high-throughput microfluidic, panel for detecting 120 somatic mutations across eleven genes of therapeutic interest (AKT1, BRAF, EGFR, FGFR3, FLT3, HRAS, KIT, KRAS, MET, NRAS, and PIK3CA) using allele-specific PCR (AS-PCR) and Taqman technology. This mutation panel requires as little as 2 ng of high quality DNA from fresh frozen or 100 ng of DNA from formalin-fixed paraffin-embedded (FFPE) tissues. Mutation calls, including an automated data analysis process, have been implemented to run 88 samples per day. Validation of this platform using plasmids showed robust signal and low cross-reactivity in all of the newly added assays and mutation calls in cell line samples were found to be consistent with the Catalogue of Somatic Mutations in Cancer (COSMIC) database allowing for direct comparison of our platform to Sanger sequencing. High correlation with NGS when compared to the SuraSeq500 panel run on the Ion Torrent platform in a FFPE dilution experiment showed assay sensitivity down to 0.45%. This multiplexed mutation panel is a valuable tool for high-throughput biomarker discovery in personalized medicine and cancer drug development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Belgium 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Postgraduate 5 8%
Student > Master 5 8%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 2 3%
Other 8 14%
Unknown 24 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 15%
Medicine and Dentistry 8 14%
Biochemistry, Genetics and Molecular Biology 7 12%
Immunology and Microbiology 2 3%
Chemical Engineering 1 2%
Other 4 7%
Unknown 28 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from PLOS ONE
#154,398
of 194,172 outputs
Outputs of similar age
#161,985
of 223,399 outputs
Outputs of similar age from PLOS ONE
#4,131
of 5,398 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5,398 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.