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Invitrogen, GeneGo, Thermo Electron

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Invitrogen recently launched two protein-expression products. The Protein Expression Medium is a serum- and animal-origin-free culture medium developed for the production of recombinant proteins in PER.C6 cells. The media supports the adaptation, growth, and expansion of transfected PER.C6 human embryonic retinoblast cells for large-scale, high-density suspension culture in shake flasks, roller bottles, and bioreactors,” Invitrogen said. It also supports parental PER.C6, HEK 293, and HeLa cells in suspension culture for protein expression applications, the company said.
 
Invitrogen also released the FreeStyle MAX System for large-scale protein production in the preferred cell lines. The product has a number of biopharmaceutical and pre-clinical applications, the company said.
 
FreeStyle was developed for rapid, large-scale generation of post-translationally modified, functional proteins in Chine Hamster Ovary and HEK-293 suspension of cell cultures and is the first commercially available large-scale transient transfection system optimized with CHO suspension culture, Invitrogen said.
 

 
GeneGo launched this week its MetaLink and MedEditor add-on modules to its MetaCore data mining platform.
 
“MetaLink allows users to batch-upload their protein association data produced by yeast-two-hybrid screens, gene co-expression, pull-down assays, text mining and other methods in MetaCore and build networks on the fly overlaying their interactions in the context of manually curated interactions,” the company said in a statement. MapEditor allows users to create custom pathway maps from scratch by converting a network into a pathway map or by editing existing proprietary maps from MetaCore.
 

 
Thermo Electron launched its newly designed BioWorks 3.3 protein identification and quantitation software package. The package contains PepQuan capabilities and allows for automated quantitative analysis of iTraq, SILAC, and ICAT labeled samples as well as label-free quantitation techniques.
 
It also includes a new probability-based scoring algorithm to improve protein identification and Search Results File to simplify and accelerate the review of transfer of results allowing information to be stored in a single file, Thermo said in a statement.
 
New pre-search and post-search filters remove unwanted spectra allowing users to focus on proteins of interest, the company said.

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