Samantha Cooper
Bio-Rad Laboratories
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Publication
Featured researches published by Samantha Cooper.
PLOS ONE | 2015
John F. Regan; Nolan Kamitaki; Tina C. Legler; Samantha Cooper; Niels Klitgord; George Karlin-Neumann; Catherine Wong; Shawn Hodges; Ryan Koehler; Svilen Tzonev; Steven A. McCarroll
Determining the chromosomal phase of pairs of sequence variants – the arrangement of specific alleles as haplotypes – is a routine challenge in molecular genetics. Here we describe Drop-Phase, a molecular method for quickly ascertaining the phase of pairs of DNA sequence variants (separated by 1-200 kb) without cloning or manual single-molecule dilution. In each Drop-Phase reaction, genomic DNA segments are isolated in tens of thousands of nanoliter-sized droplets together with allele-specific fluorescence probes, in a single reaction well. Physically linked alleles partition into the same droplets, revealing their chromosomal phase in the co-distribution of fluorophores across droplets. We demonstrated the accuracy of this method by phasing members of trios (revealing 100% concordance with inheritance information), and demonstrate a common clinical application by phasing CFTR alleles at genomic distances of 11–116 kb in the genomes of cystic fibrosis patients. Drop-Phase is rapid (requiring less than 4 hours), scalable (to hundreds of samples), and effective at long genomic distances (200 kb).
BioTechniques | 2015
Wei Yang; Dawne N. Shelton; Jennifer R. Berman; Bin Zhang; Samantha Cooper; Svilen Tzonev; Eli Hefner; John F. Regan
Targeted therapies in many cancers have allowed unprecedented progress in the treatment of disease. However, routine implementation of genomic testing is constrained due to: 1) limited amounts of sample (pg–ng range) per biological specimen, 2) diagnostic turnaround time and workflow, 3) cost, and 4) difficulties in detection of mutational loads below 5%. KRAS is mutated in approximately 40% of colorectal cancers (CRCs). The majority of mutations affect codons 12, 13, and 61 and indicate a negative response to anti–epidermal growth factor receptor (EGFR) therapy. To optimize therapy strategies for personalized care, it is critical to rapidly screen patient samples for the presence of multiple KRAS mutations.
The Journal of Molecular Diagnostics | 2018
Broderick Corless; Gregory Chang; Samantha Cooper; Mahrukh Syeda; Yongzhao Shao; Iman Osman; George Karlin-Neumann; David Polsky
Detecting mutations in the plasma of patients with solid tumors is becoming a valuable method of diagnosing and monitoring cancer. The TERT promoter is mutated at high frequencies in multiple cancer types, most commonly at positions -124 and -146 (designated C228T and C250T, respectively). Detection of these mutations has been challenging because of the high GC content of this region (approximately 80%). We describe development of novel probe-based droplet digital PCR assays that specifically detect and quantify these two mutations, along with the less common 242-243 CC>TT mutation, and demonstrate their application using human tumor and plasma samples from melanoma patients. Assay designs and running conditions were optimized using cancer cell line genomic DNAs with the C228T or C250T mutations. The limits of detection were 0.062% and 0.051% mutant allele fraction for the C228T and C250T assays, respectively. Concordance of 100% was observed between droplet digital PCR and sequencing-based orthogonal methods in the detection of TERT mutant DNA in 32 formalin-fixed, paraffin-embedded melanoma tumors. TERTmutant DNA was also identified in 21 of 27 plasma samples (78%) from patients with TERTmutant tumors, with plasma mutant allele fractions ranging from 0.06% to 15.3%. There were no false positives in plasma. These data demonstrate the potential of these assays to specifically detect and quantify TERTmutant DNA in tumors and plasma of cancer patients.
Cancer Research | 2014
Wei Yang; Dawne N. Shelton; Samantha Cooper; Jennifer R. Berman; Svilen Tzonev; Eli Hefner; John F. Regan
Targeted therapies in many forms of cancer today have allowed unprecedented progress in the treatment of disease. Despite these advances, routine implementation of genomic testing is still limited by: 1) methods to detect, with confidence, mutational loads below 10%, 2) limited amounts of sample (pg-ng range) per biological specimen, 3) diagnostic turnaround time, and 4) cost. In metastatic colorectal cancer (mCRC), anti-epidermal growth factor receptor antibodies (αEGFR) are used to target the wild-type EGFR receptor. However, KRAS is mutated in approximately 40% of colorectal cancers and is indicative of a negative response to αEGFR therapy. BRAF and PIK3CA mutations are also associated with poor response in the remaining patients with KRAS wild-type genotype. To optimize therapy strategies for personalized care, it is therefore critical to rapidly screen patient samples during the course of disease for the presence of multiple mutations. The low abundance of mutants and limited amount and quality of available clinical samples (FFPE and cfDNA) render it difficult to reliably detect multiple mutations with current platforms and methods. We have developed a multiplexing strategy for screening clinically-actionable KRAS, BRAF, and PIK3CA mutations in mCRC clinical samples using digital PCR. No pre-amplification step was required. This sensitive and inexpensive method reduces the risk of contamination and can be easily implemented in molecular diagnostic laboratories for rapid, routine screening and monitoring of residual disease in cancer patients. Citation Format: Wei Yang, Dawne N. Shelton, Samantha Cooper, Jennifer Berman, Svilen Tzonev, Eli Hefner, John F. Regan. Ultrasensitive detection of cancer mutations in metastatic colorectal cancer FFPE and cell-free DNA samples using multiplexed droplet digital PCR. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-115. doi:10.1158/1538-7445.AM2014-LB-115
Archive | 2015
Jeremy Agresti; Samantha Cooper; George Karlin-Neumann; Nick Heredia; Ronald Lebofsky
Archive | 2014
John F. Regan; Samantha Cooper; Austin P. So; Ryan Koehler; Luz Montesclaros
Archive | 2016
Dianna Maar; Samantha Cooper; Wei Yang
Archive | 2016
Samantha Cooper; Wei Yang; Jennifer R. Berman
Archive | 2014
John F. Regan; Dianna Maar; Dawne N. Shelton; Tina C. Legler; Samantha Cooper; Wei Yang; Eli Hefner; Niels Klitgord
Archive | 2014
John F. Regan; Samantha Cooper; Austin P. So; Ryan T. Koehler; Luz Montesclaros