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Agilent Technologies, Alfa Wasserman, Applied Biosystems, Bruker Daltonics, GE Healthcare, Invitrogen, MDS Sciex, Proteome Software, Serva Electrophoresis GmbH, Thermo Electron, Waters, Nonlinear Dynamics, Millipore

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The following companies released new products with proteomics applications at ASMS 2005: Agilent Technologies, Alfa Wasserman, Applied Biosystems, Bruker Daltonics, GE Healthcare, Invitrogen, MDS Sciex, Proteome Software, Serva Electrophoresis GmbH, Thermo Electron, and Waters. For a list of the new products and brief descriptions, see the ASMS new products table.


Nonlinear Dynamics said last week that it will launch its Pro MST protein informatics platform at the Human Proteome Organization congress in Munich, Germany, in August. Pro MST is being developed to store, manage, and mime data generated during 2D gel and mass spectrometry experiments. Nonlinear said that data from its Progenesis and Phoretix systems will be directly imported into the system.


Millipore announced today the release of two new chemiluminescent substrates for Western blotting applications. According to the company, the Immobilon Western HRP and AP Chemiluminescent Substrates provide high signal response at mid-femtogram levels.

The two substrates save on antibody consumption by using two- to five-fold less primary and secondary antibodies than traditional, low-sensitivity substrates, Millipore said. The substrates are compatible with polyvinylidene fluoride and nitrocellulose membranes as well as commonly used buffers and blocking reagents.

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.