Protein Forest launches Digital ProteomeChip, which fractionates and concentrates proteins or peptides by isoelectric focusing, for mass spectrometry sample preparation and data analysis
The ProteomeChip technology fractionates proteins or peptides by parallel isoelectric focusing on dPC chips for mass spec analysis and western blotting and the mass spec results and analysis tool (MSrat) bioinformatics software allows the researcher to discover the richness of their dPC data produced.
"We are very excited about launching our digital ProteomeChip System as it addresses critical limitations of existing fractionation and sample prep technologies available to researchers today, particularly those that utilise mass spectrometry," said Russell Garlick, Protein Forest's president and chief executive officer.
"dPC chips are precision manufactured to have a difference of 0.05pH units between adjacent gel plugs with guaranteed reproducibility which allows proteomic scientists the ability to fractionate and concentrate their samples using parallel isoelectric focusing.
"This technology enables the separation and identification of proteins or peptides often not found by other techniques".
The dPC technology easily integrates into existing mass spectrometry workflows.
Simply reduce, alkylate and desalt samples before adding to the dPC running buffer.
Separate for 30 minutes on the dPC Chip and protein samples are ready for in-gel tryptic digestion followed by mass spec identification.
The dPC technology is compatible with a wide variety of mass spectrometry instrumentation.
Alternatively, proteins can be identified by immunoblotting.
The combination of the simple workflow and precise dPC manufacturing process insures reproducibility from chip to chip and experiment to experiment.
MSrat bioinformatics software is used to rapidly analyse large amounts of mass spec data within minutes.
This software helps the researcher quickly focus on differences between samples including pI isoforms, post-translational modifications and differential expression.
This software helps researchers to quickly identify important biologically relevant features from their proteomic experiments and it also streamlines QC and validation for bioprocess manufacturing.
