Miloslav Karhanek
Stanford University
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Publication
Featured researches published by Miloslav Karhanek.
Proceedings of the National Academy of Sciences of the United States of America | 2009
Senkei Umehara; Miloslav Karhanek; Ronald W. Davis; Nader Pourmand
Nanopipette technology can uniquely identify biomolecules such as proteins based on differences in size, shape, and electrical charge. These differences are determined by the detection of changes in ionic current as the proteins interact with the nanopipette tip coated with probe molecules. Here we show that electrostatic, biotin-streptavidin, and antibody-antigen interactions on the nanopipette tip surface affect ionic current flowing through a 50-nm pore. Highly charged polymers interacting with the glass surface modulated the rectification property of the nanopipette electrode. Affinity-based binding between the probes tethered to the surface and their target proteins caused a change in the ionic current due to a partial blockade or an altered surface charge. These findings suggest that nanopipettes functionalized with appropriate molecular recognition elements can be used as nanosensors in biomedical and biological research.
BMC Bioinformatics | 2006
Sreedevi Thiyagarajan; Miloslav Karhanek; Michael S. Akhras; Ronald W. Davis; Nader Pourmand
BackgroundHere we describe PathogenMIPer, a software program for designing molecular inversion probe (MIP) oligonucleotides for use in pathogen identification and detection. The software designs unique and specific oligonucleotide probes targeting microbial or other genomes. The tool tailors all probe sequence components (including target-specific sequences, barcode sequences, universal primers and restriction sites) and combines these components into ready-to-order probes for use in a MIP assay. The system can harness the genetic variability available in an entire genome in designing specific probes for the detection of multiple co-infections in a single tube using a MIP assay.ResultsPathogenMIPer can accept sequence data in FASTA file format, and other parameter inputs from the user through a graphical user interface. It can design MIPs not only for pathogens, but for any genome for use in parallel genomic analyses. The software was validated experimentally by applying it to the detection of human papilloma virus (HPV) as a model system, which is associated with various human malignancies including cervical and skin cancers. Initial tests of laboratory samples using the MIPs developed by the PathogenMIPer to recognize 24 different types of HPVs gave very promising results, detecting even a small viral load of single as well as multiple infections (Akhras et al, personal communication).ConclusionPathogenMIPer is a software for designing molecular inversion probes for detection of multiple target DNAs in a sample using MIP assays. It enables broader use of MIP technology in the detection through genotyping of pathogens that are complex, difficult-to-amplify, or present in multiple subtypes in a sample.
Proceedings of the National Academy of Sciences of the United States of America | 2007
Nader Pourmand; Stefano Caramuta; Andrea Villablanca; Silvia Mori; Miloslav Karhanek; Shan X. Wang; Ronald W. Davis
The analysis of short tandem repeats (STRs) plays an important role in forensic science, human identification, genetic mapping, and disease diagnostics. Traditional STR analysis utilizes gel- or column-based approaches to analyze DNA repeats. Individual STR alleles are separated and distinguished according to fragment length; thus the assay is generally hampered by its low multiplex capacity. However, use of DNA microarray would employ a simple hybridization and detection for field forensics and biology. Here we demonstrate a rapid, highly sensitive method for STR analysis that utilizes DNA microarray technology. We describe two adaptations to accomplish this: the use of competitive hybridization to remove unpaired ssDNA from an array and the use of neural network classification to automate the analysis. The competitive displacement technique mimics the branch migration process that occurs during DNA recombination. Our technique will facilitate the rapid deduction of identity, length, and number of repeats for the multiple STRs in an unknown DNA sample.
Electrophoresis | 2008
Andrea Villablanca; Miloslav Karhanek; Stefano Caramuta; Heng Yu; Olufisayo Jejelowo; Chris D. Webb; Nader Pourmand
STR analysis is commonly used in forensic and genetic studies. STRs are currently discriminated based on size, primarily by gel‐ and column‐based approaches. Hybridization‐based approaches have the potential to allow high‐throughput analysis of STRs; however, development of such approaches has been limited by the difficulty in discriminating between STRs of similar length. We have recently described several innovations to enable STR analysis using an array‐based hybridization approach for high‐ throughput STR analysis. Here we extend that approach by incorporating the array into microspheres and adding a discriminatory branch migration displacement step. This microsphere‐based platform uses Luminex xMAP technology and improves the sensitivity, selectivity, and speed of the assay. We demonstrate the feasibility, speed, and reliability of the assay for STR detection by correctly analyzing two STR loci in 20 forensic DNA samples of known STR type. The multiplex, bead‐based approach provides a high‐throughput and more portable STR analysis.
Proceedings of the National Academy of Sciences of the United States of America | 2006
Nader Pourmand; Miloslav Karhanek; Henrik H. J. Persson; Chris D. Webb; Thomas H. Lee; Alexandra Zahradníková; Ronald W. Davis
Nano Letters | 2006
Senkei Umehara; Nader Pourmand; Chris D. Webb; Ronald W. Davis; Kenji Yasuda; Miloslav Karhanek
Nano Letters | 2005
Miloslav Karhanek; Jennifer T. Kemp; Nader Pourmand; Ronald W. Davis; Chris D. Webb
Archive | 2005
Nader Pourmand; Miloslav Karhanek; Ronald W. Davis
Archive | 2009
Miloslav Karhanek; Chris D. Webb; Senkei Umehara; Nader Pourmand
Sensors and Actuators B-chemical | 2008
Erik P. Anderson; Jonathan S. Daniels; Heng Yu; Miloslav Karhanek; Thomas H. Lee; Ronald W. Davis; Nader Pourmand