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IP Watch: Hologic, Roche, Qiagen, Samsung, Johns Hopkins, Others Win US Patents


Samsung has been awarded US Patent No. 8,618,253, "Modified RNAse H and detection of nucleic acid amplification."

Win Den Chung and Jason Opdyke are named as inventors.

Gen-Probe (Hologic) has been awarded US Patent No. 8,615,368, "Method for determining the amount of analyte in a sample."

James Light, II, and James Carrick are named as inventors.

Steven Benner and Zunyi Yang have been awarded and are named as inventors on US Patent No. 8,614,072, "Polymerase incorporation of non-standard nucleotides."

Benner is a researcher at the Foundation of Applied Molecular Evolution and founder of startup company Firebird Molecular Sciences.

Roche Molecular Systems has been awarded US Patent No. 8,614,071, "Preferential amplification of mRNA over DNA using chemically modified primers."

Stephen Will, Lori Steiner, Alison Tsan, and Nicolas Newton are named as inventors.

Qiagen has been awarded US Patent No. 8,614,061, "Combination of fluorescent dyes for the detection of nucleic acids."

Brabetz Werner and Cornelia Weber are named as inventors on the patent.

Johns Hopkins University has been awarded US Patent No. 8,614,059, "Purification and concentration of proteins and DNA from complex sample using isotachophoresis and a device to perform the purification."

Charles Young is named as the inventor.

The Scan

Study Links Genetic Risk for ADHD With Alzheimer's Disease

A higher polygenic risk score for attention-deficit/hyperactivity disorder is also linked to cognitive decline and Alzheimer's disease, a new study in Molecular Psychiatry finds.

Study Offers Insights Into Role of Structural Variants in Cancer

A new study in Nature using cell lines shows that structural variants can enable oncogene activation.

Computer Model Uses Genetics, Health Data to Predict Mental Disorders

A new model in JAMA Psychiatry finds combining genetic and health record data can predict a mental disorder diagnosis before one is made clinically.

Study Tracks Off-Target Gene Edits Linked to Epigenetic Features

Using machine learning, researchers characterize in BMC Genomics the potential off-target effects of 19 computed or experimentally determined epigenetic features during CRISPR-Cas9 editing.