BioForce Nanosciences of Ames, Iowa, has received US Patent No. 7,344,832, “Method and apparatus for molecular analysis in small sample volumes.” The patent describes a nanoarray, as well as methods of detecting molecules and molecular interaction events, retrieving and analyzing analytes, and delivering substances to cells or tissues using probes on the array.
The University of Michigan of Ann Arbor, Mich., has received US Patent No. 7,344,847, “Nanoscale patterning and immobilization of bio-molecules.” The patent claims a substrate upon which an array can be patterned with regions sub-micron in size, and with a high selectivity and high binding capacity. The patent also describes how a protein microarray on a substrate can be prepared by modifying the support, followed by depositing various target-molecule-capturing agents onto the modified substrate at pre-defined locations.
Agilent Technologies has received US Patent No. 7,344,831, “Methods for controlling cross-hybridization in analysis of nucleic acid sequences.” The patent claims methods, reagents and kits for selecting target-specific oligonucleotide probes, which may be used in analyzing a target nucleic acid sequence. According to the method, a set of target-specific oligonucleotide probes is first selected. A cross-hybridization oligonucleotide probe is identified based on a candidate target-specific oligonucleotide probe for the target nucleic acid sequence. The cross-hybridization oligonucleotide probe measures the extent of occurrence of a cross-hybridization event having a predetermined probability. Cross-hybridization results are determined employing the cross-hybridization oligonucleotide probe and the target-specific oligonucleotide probe. The target-specific oligonucleotide probe is selected or rejected for the set based on the results of the cross hybridization.
Samsung Electronics has received US Patent No. 7,346,458, “Genotyping method using DNA chip.” The patent claims a genotyping method where optimal probe pairs of a wild-perfect match probe and a mutant-perfect match probe are immobilized for each mutation site on a substrate. A genotyping algorithm using data obtained from hybridization of an identified standard nucleic acid to the DNA chip is then set up, and an unknown target nucleic acid is genotyped by substituting input vectors that are calculated from hybridization of the target nucleic acid to the DNA chip into the genotyping algorithm. The results of genotyping the target nucleic acid using the optimal probe pairs for each mutation site are statistically robust.