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Potential “Good Fat” Biomarker
New method to measure the activity of energy consuming brown fat cells could ease the testing weight loss drugs.
Computational Model Finds New Protein-Protein Interactions
Researchers at University of Pittsburgh have discovered 500 new protein-protein interactions (PPIs) associated with genes linked to schizophrenia.
New Insights into Gene Regulation
Researchers have solved the three-dimensional structure of a gene repression complex that is known to play a role in cancer.
Controlling RNA in Living Cells
Modular, programmable proteins can be used to track or manipulate gene expression.
Soy Shows Promise as Natural Anti-Microbial Agent
Soy isoflavones and peptides may inhibit the growth of microbial pathogens that cause food-borne illnesses, according to a new study from University of Guelph researchers.
Potential Target for Revolutionary Antibiotics
An international team of including the Lomonosov Moscow State University researchers discovered which enzyme enables Escherichia coli bacterium (E. coli) to breathe.
DNA Barcodes Gone Wild
A team of researchers at University of Toronto’s Donnelly Centre and Sinai Health System’s Lunenfeld-Tanenbaum Research Institute (LTRI) has developed a new technology that can stitch together DNA barcodes inside a cell to simultaneously search amongst millions of protein pairs for protein interactions.
Biomarkers for Profiling Prostate Cancer Patients
Exiqon A/S has announced the publication of validation of prognostic microRNA biomarkers for the aggressiveness of prostate cancer in independent cohorts.
Grant to Fund Million Peaks Project
The European Research Council (ERC) has awarded a prestigious Advanced Grant to Prof. Peter Schoenmakers, Prof. Albert Polman and Prof. Huib Bakker, all three of whom work at the University of Amsterdam (UvA).
Study Finds Factors That May Influence Influenza Vaccine Effectiveness
Researchers at NIH have suggested that the long-held approach to predicting seasonal influenza vaccine effectiveness may need to be revisited.
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Comparison of Performance: EnSpire Multimode Plate Reader and Corning® Epic® System
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PerkinElmer

For cell-based assays, label-free offers distinct advantages including the recording of the integrated global response of cells, as well as the ability to monitor endogenously expressed receptors with high sensitivity.

Label-free data obtained from cell-based and biochemical assays initiated on both platforms, suggest the performance of the EnSpire should be comparable to that of the Corning® Epic® System for these types of assays. Moreover, the data implies that current users of the Corning® Epic® System can expect comparable results when deploying their label-free applications on the EnSpire.

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