Michael M. Becker
Gen-Probe Incorporated
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Featured researches published by Michael M. Becker.
Molecular Cancer | 2009
Amara Siva; Luke J Nelson; Chad L Fleischer; Mehrdad Majlessi; Michael M. Becker; Robert L. Vessella; Mark A. Reynolds
BackgroundMicroRNAs (miRNAs) are small non-coding RNAs (about 21 to 24 nucleotides in length) that effectively reduce the translation of their target mRNAs. Several studies have shown miRNAs to be differentially expressed in prostate cancer, many of which are found in fragile regions of chromosomes. Expression profiles of miRNAs can provide information to separate malignancies based upon stage, progression and prognosis. Here we describe research prototype assays that detect a number of miRNA sequences with high analytical sensitivity and specificity, including miR-21, miR-182, miR-221 and miR-222, which were identified through expression profiling experiments with prostate cancer specimens. The miRNAs were isolated, amplified and quantified using magnetic bead-based target capture and a modified form of Transcription-Mediated Amplification (TMA).ResultsAnalytical sensitivity and specificity were demonstrated in model system experiments using synthetic mature microRNAs or in vitro miRNA hairpin precursor transcripts. Research prototype assays for miR-21, miR-182, miR-221 and miR-222 provided analytical sensitivities ranging from 50 to 500 copies of target per reaction in sample transport medium. Specific capture and detection of mature miR-221 from complex samples was demonstrated in total RNA isolated from human prostate cancer cell lines and xenografts.ConclusionResearch prototype real-time TMA assays for microRNAs provide accurate and reproducible quantitation using 10 nanograms of input total RNA. These assays can also be used directly with tissue specimens, without the need for a preanalytic RNA isolation step, and thus provide a high-throughput method of microRNA profiling in clinical specimens.
Journal of Food Protection | 2015
Kristin W. Livezey; Bettina Groschel; Michael M. Becker
Escherichia coli O157:H7 and six serovars (O26, O103, O121, O111, O145, and O45) are frequently implicated in severe clinical illness worldwide. Standard testing methods using stx, eae, and O serogroup-specific gene sequences for detecting the top six non-O157 STEC bear the disadvantage that these genes may reside, independently, in different nonpathogenic organisms, leading to false-positive results. The ecf operon has previously been identified in the large enterohemolysin-encoding plasmid of eae-positive Shiga toxin-producing E. coli (STEC). Here, we explored the utility of the ecf operon as a single marker to detect eae-positive STEC from pure broth and primary meat enrichments. Analysis of 501 E. coli isolates demonstrated a strong correlation (99.6%) between the presence of the ecf1 gene and the combined presence of stx, eae, and ehxA genes. Two large studies were carried out to determine the utility of an ecf1 detection assay to detect non-O157 STEC strains in enriched meat samples in comparison to the results using the U. S. Department of Agriculture Food Safety and Inspection Service (FSIS) method that detects stx and eae genes. In ground beef samples (n = 1,065), the top six non-O157 STEC were detected in 4.0% of samples by an ecf1 detection assay and in 5.0% of samples by the stx- and eae-based method. In contrast, in beef samples composed largely of trim (n = 1,097), the top six non-O157 STEC were detected at 1.1% by both methods. Estimation of false-positive rates among the top six non-O157 STEC revealed a lower rate using the ecf1 detection method (0.5%) than using the eae and stx screening method (1.1%). Additionally, the ecf1 detection assay detected STEC strains associated with severe illness that are not included in the FSIS regulatory definition of adulterant STEC.
Annual Review of Food Science and Technology - (new in 2010) | 2013
Kristin W. Livezey; Shannon K. Kaplan; Michele Wisniewski; Michael M. Becker
Listeria and Salmonella detection assays for food and environmental surfaces that target ribosomal RNA (rRNA) have been developed. The large number of rRNA molecules in bacteria enabled the development of molecular assays that use enrichment times as short as 12 hours for Salmonella and 24 hours for Listeria. These assays run on a fully automated molecular pathogen detection system, which provides walk-away capability and produces 300 assay results in eight hours.
Nucleic Acids Research | 2008
Mehrdad Majlessi; Michael M. Becker
To investigate the mechanisms by which oligonucleotides hybridize to target molecules, the binding of two oligodeoxynucleotide probes to RNA targets was measured over a broad range of temperatures. Mutations were then scanned across each DNA/RNA hybrid to map, at single base resolution, sequences important for hybridization. Despite being unrelated in sequence, each hybrid formed by a similar mechanism. In the absence of secondary structure, two stretches of bases, termed nucleation regions, cooperated with one another by a looping mechanism to nucleate hybridization. Mutations inside each nucleation region strongly decreased hybridization rates, even at temperatures well below the melting temperature (Tm) of the hybridized duplex. Surprisingly, nucleation regions were detected in a RNA target but not a corresponding DNA target. When either nucleation region was sequestered in secondary structure, the hybridization rate fell and the mechanism of hybridization changed. Single-stranded bases within the nucleation region of the probe and target first collided to form a double helix. If sufficiently G + C rich, the double helix then propagated throughout the oligonucleotide by a strand invasion process. On the basis of these results, general mechanisms for the hybridization of oligonucleotides to complementary and mutant targets are proposed.
Archive | 1998
William G. Weisburg; Jay H. Shaw; Michael M. Becker; Mehrdad Majlessi
Nucleic Acids Research | 1998
Mehrdad Majlessi; Norman C. Nelson; Michael M. Becker
Archive | 2005
Michael M. Becker; Wai-Chung Lam; Kristin W. Livezey; Steven T. Brentano; Daniel P. Kolk; Astrid R. W. Schroder
Archive | 1996
Michael M. Becker; Norman C. Nelson
Archive | 1997
Michael M. Becker; Mehrdad Majlessi; Steven T. Brentano
Biochemistry | 1996
Norman C. Nelson; Azzouz Ben Cheikh; Eiji Matsuda; Michael M. Becker