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Dive into the research topics where Tamara Sander is active.

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Featured researches published by Tamara Sander.


Nature Biotechnology | 1999

Polymorphism identification and quantitative detection of genomic DNA by invasive cleavage of oligonucleotide probes.

Victor I. Lyamichev; Andrea L. Mast; Jeff G. Hall; James R. Prudent; Michael W. Kaiser; Tsetska Takova; Robert W. Kwiatkowski; Tamara Sander; Monika de Arruda; David A. Arco; Bruce P. Neri; Mary Ann D. Brow

Flap endonucleases (FENs) isolated from archaea are shown to recognize and cleave a structure formed when two overlapping oligonucleotides hybridize to a target DNA strand. The downstream oligonucleotide probe is cleaved, and the precise site of cleavage is dependent on the amount of overlap with the upstream oligonucleotide. We have demonstrated that use of thermostable archaeal FENs allows the reaction to be performed at temperatures that promote probe turnover without the need for temperature cycling. The resulting amplification of the cleavage signal enables the detection of specific DNA targets at sub-attomole levels within complex mixtures. Moreover, we provide evidence that this cleavage is sufficiently specific to enable discrimination of single-base differences and can differentiate homozygotes from heterozygotes in single-copy genes in genomic DNA.


Journal of Clinical Virology | 2009

Analytical performance of the Investigational Use Only Cervista™ HPV HR test as determined by a multi-center study

Stephen P. Day; Angela Hudson; Andrea L. Mast; Tamara Sander; Michelle L. Curtis; Sarah M. Olson; Luanne Chehak; Neil B. Quigley; Joellen S. Ledford; Belinda Yen-Lieberman; Debra Kohn; Denise I. Quigley; Marilyn C. Olson

BACKGROUND Any HPV test designed to be utilized in cervical cancer screening programs should be highly validated both analytically and clinically. OBJECTIVES The Investigational Use Only (IUO) Cervista HPV HR test is designed to detect 14 high-risk HPV types (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68). The analytical performance of the Cervista HPV HR test was characterized in a multi-center study. RESULTS Analytical sensitivity for the 14 high-risk HPV types that the test is designed to detect ranged from 1,250 copies to 7,500 copies per reaction depending on HPV type. Accuracy compared to PCR with bi-directional sequencing was 91.4% [95% CI: 86.5 95.0%]. The reproducibility, when tested at three different testing centers, resulted in an overall inter-run reproducibility (between day/within site) agreement of 98.8% [1-sided 95% Confidence Lower Limit = 96.9%] and an overall inter-site reproducibility (between site) agreement of 98.7% [1-sided 95% Confidence Lower Limit = 97.9%]. The Cervista HPV HR test showed no cross-reactivity with DNA from seven non-oncogenic HPV types or 17 different infectious agents at up to 10(7) copies per reaction. CONCLUSIONS The analytical performance of the Cervista HPV HR test demonstrates sufficient analytical performance for use in cervical cancer screening. As with any clinical laboratory test, analytical characteristics must be evaluated in light of the clinical performance of this assay.


Journal of Clinical Microbiology | 2006

Invader Plus Method Detects Herpes Simplex Virus in Cerebrospinal Fluid and Simultaneously Differentiates Types 1 and 2

Hatim T. Allawi; Haijing Li; Tamara Sander; Azamat Aslanukov; Victor I. Lyamichev; Amondrea Blackman; Slava Elagin; Yi-Wei Tang

ABSTRACT We report here on the development and validation of a prototype Invader Plus method for the qualitative detection of herpes simplex virus types 1 and 2 in cerebrospinal fluid (CSF). The method combines PCR and Invader techniques in a single, closed-tube, continuous-reaction format that gives an analytical sensitivity of approximately 10 copies per reaction. The clinical sensitivity and specificity were 100.0% and 98.6%, respectively, when the results of the method were validated against the results obtained with a PCR colorimetric microtiter plate system by use of clinical CSF specimens.


Electrophoresis | 1999

Comparison of detection platforms and post‐polymerase chain reaction DNA purification methods for use in conjunction with Cleavase fragment length polymorphism analysis

Tamara Sander; Sarah H. Olson; Jeffrey S. Hall; Marianne Siebert; Kelly Grooms; Laura M. Heisler; Monika de Arruda; Bruce P. Neri

The removal of impurities and contaminants from PCR‐amplified fragments is important for mutation detection methods which identify mutations based on shifts in electrophoretic mobility. This is particularly critical for assays and detection methods which use target DNA that is labeled prior to analysis and electrophoretic detection. We examined several procedures for purifying DNA amplified by the polymerase chain reaction (PCR) and their use in conjunction with a novel DNA scanning method, the Cleavase fragment length polymorphism (CFLP)* assay. In this study, a 480 bp DNA fragment, fluorescently labeled on the 5′‐end of one strand, was amplified and subjected to various widely used purification procedures, including several commercially available clean‐up kits. We demonstrate that visualization of the fluorescent label, as opposed to simple ethidium bromide staining, reveals the presence of considerable levels of labeled, truncated, amplification products. The various procedures were evaluated on the basis of their ability to remove these unwanted DNA fragments as well as on the degree to which they inhibited or promoted the CFLP reaction. Several procedures are recommended for use with CFLP analysis, including isopropanol precipitation, gel excision, and several commercially available spin columns. Concurrently, we evaluated (compared) a number of commonly used visualization platforms, including fluorescence imaging, chemiluminescence, and post‐electrophoretic staining, for the ability to detect CFLP pattern changes. The advantages and disadvantages of different methods are discussed and amounts of DNA to be used for CFLP analysis on different detection platforms are recommended.


Cancer Research | 2017

Abstract 712: Detection of lung cancer by assay of novel methylated DNA markers in plasma

Hatim T. Allawi; Maria Giakoumopoulos; Evan Flietner; Austin Oliphant; Carla Volkmann; Brian Aizenstein; Tamara Sander; Drew Eckmayer; Ashley M. Poenitzsch Strong; Melissa M. Gray; Barry M. Berger; Tracy C. Yab; William R. Taylor; Douglas W. Mahoney; John B. Kisiel; David E. Midthun; David A. Ahlquist; Graham P. Lidgard

Purpose: Lung cancer is the leading cause of cancer deaths worldwide. Most present symptomatically at late stage with high lethality. Early detection reduces mortality but accurate and readily accessible tools for population screening are limited. By whole methylome sequencing, we have identified novel methylated DNA markers (MDMs) for lung cancer in tissue (Giakoumopoulos et al. ASCO 2016). Using top candidate MDMs in the present study, we now explore their clinical accuracy for lung cancer detection when assayed from plasma. Experimental Procedures: Archival plasmas from two independent study groups were tested in blinded fashion. Lung cancer cases and controls (apparently healthy smokers) for each group were balanced on age and sex (Group 1: 64 cases, 231 controls; Group 2: 23 cases, 80 controls). Using multiplex PCR followed by QuARTS (Quantitative Allele-Specific Real-time Target and Signal amplification) assay, a post-bisulfite quantification of MDMs on DNA extracted from plasma was performed. We selected 31 MDM candidates for initial evaluation in Group 1 (1 ml plasma/patient); top individual MDMs were subsequently tested in Group 2 to identify optimal MDM panels for lung cancer detection (2 ml/patient). Results: From Group 1 analyses, 13 high performance MDMs were selected for further testing (CYP26C1, SOBP, SUCLG2, SHOX2, ZDHHC1, NFIX, FLJ45983, HOXA9, B3GALT6, ZNF781, SP9, BARX1, EMX1) with individual areas under the receiver operator curve (AUCs) ranging from 0.593 to 0.939. Discrimination by individual MDMs was corroborated in Group 2 in which data was analyzed using two methods: a logistic regression fit and a regression partition tree approach. The logistic fit model identified a 4-marker panel (ZNF781, BARX1, EMX1, and SOBP) with an AUC of 0.96 and an overall sensitivity of 91% and 90% specificity. Analysis of the data using a regression partition tree approach identified 4 markers (ZNF781, BARX1, EMX1, and HOXA9) with AUC of 0.93 and an overall sensitivity of 96% and specificity of 94%. For both approaches, B3GALT6 was used as a standardizing marker of total DNA input. Conclusion: A panel of MDMs assayed in plasma achieved high sensitivity and specificity for all types of lung cancer. Further clinical evaluation and validation of this promising panel in larger patient groups are clearly indicated. Citation Format: Hatim T. Allawi, Maria Giakoumopoulos, Evan Flietner, Austin Oliphant, Carla Volkmann, Brian Aizenstein, Tamara Sander, Drew Eckmayer, Ashley Poenitzsch Strong, Melissa Gray, Barry Berger, Tracy Yab, William Taylor, Douglas Mahoney, John B. Kisiel, David E. Midthun, David A. Ahlquist, Graham P. Lidgard. Detection of lung cancer by assay of novel methylated DNA markers in plasma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 712. doi:10.1158/1538-7445.AM2017-712


Archive | 2004

Detection of HPV

Angela Hudson; Tamara Sander; Poonam Agarwal; Michelle Garsha; Hon S. Ip; Robert W. Kwiatkowski; Vecheslav Elagin; Marilyn C. Olson-Munoz; Michelle L. Curtis; Sarah H. Olson; Ilse Tyler


Archive | 2009

METHOD FOR DETECTING HPV

Poonam Agarwal; Michelle L. Curtis; Slava Elagin; Michelle Garsha; Angela Hudson; Hon S. Ip; Robert W. Kwiatkowski; Sarah H. Olson; Marilyn C. Olson-Munoz; Tamara Sander; Ilse Tyler; プーナム アガルワル; ホン イプ; スラヴァ エラーギン; サラ オルソン; マリリン オルソン−ムニョス; ミシェル カーティス; ミシェル ガルシャ; ロバート ダブリュー. ジュニア クウィアトコフスキ; タマラ サンダー; イルゼ テイラー; アンジェラ ハドソン


Archive | 2017

ISOLATION AND DETECTION OF DNA FROM PLASMA

Hatim T. Allawi; Graham P. Lidgard; Brian Aizenstein; Tamara Sander; Maria Giakoumopoulos; Michael W. Kaiser; Melissa M. Gray; Abram Michael Vaccaro


Cancer Research | 2018

Abstract 4598: A comprehensive assessment of the impact of preanalytical variables on cell free DNA and circulating tumor cells in blood

Anita Pottekat; Hatim T. Allawi; Genna T. Boragine; Michael W. Kaiser; Tamara Sander; Chateen Krueger; Janelle J. Bruinsma; Amber N. Murray


Archive | 2017

DETECTION OF LUNG NEOPLASIA BY AMPLIFICATION OF RNA SEQUENCES

Hatim T. Allawi; Graham P. Lidgard; Chateen Krueger; Michael W. Kaiser; Tamara Sander

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Hon S. Ip

United States Geological Survey

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