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New Products: Life Tech's Ion Proton; Illumina's TruSeq RNA kits; Akonni's TruTip Kits

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Life Technologies' Ion Torrent business has launched its Ion Proton system and accompanying PI chip, which delivers up to 10 gigabases of data or 60 to 80 million filtered reads with read lengths of 100 to 200 base pairs (see story, this issue).

Ion Torrent is also planning to launch its One Touch 2 System, an updated version of its One Touch automated sample prep system. And next year, it will launch Ion Chef, an automated sample prep system suited for higher throughput requirements. In six months, it plans to launch its PII chip, which will enable one 20-fold genome or eight exomes to be sequenced per run, according to the company.


Illumina has launched its TruSeq Stranded mRNA and Total RNA sequencing sample prep kits. The kits enable RNA-seq studies from low-quality samples, such as formalin-fixed, paraffin-embedded samples, according to the company. The kits can come either as a 48-sample low-throughput kit containing 12 of 24 total available indexes, or as a
96-sample high-throughput kit.


Akonni Biosystems has launched its TruTip kits for DNA extraction. The kits are designed to work on the Hamilton Microlab STAR line of robotic liquid handling workstations, and can extract DNA from between eight and 96 samples in 57 minutes, according to the company. The kits use a porous nucleic acid binding matrix in a pipette tip to extract DNA or RNA.

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.