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08/25/10 -- Contradicting the widely held view that detergents cause irreparable harm to proteomics experiments, Protein Discovery today introduced the UPX Universal Protein Extraction Kit for unbiased, high-yield detergent extraction of proteins from cells and tissues. Unlike other commercially available products for protein extraction, the UPX kit extracts both soluble and insoluble proteins at high efficiency, enabling subsequent analysis of membrane proteins and other hydrophobic proteins. These elements of the "deep proteome" are refractory to extraction and solubilization by conventional methods, and Protein Discovery's UPX Universal Protein Extraction Kit opens a rich vein of exploratory research opportunity to investigators seeking either to analyze specific insoluble proteins, or to obtain a more encompassing understanding of the proteome.     Link

     
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New Roche deal could net Aileron $1.1B

Aileron Therapeutics Inc., a Cambridge biotech focused on protein-based treatments, has entered into a development deal with Roche that could bring as much as $1.1 billion to Aileron.

The Swiss pharmaceutical giant Roche will be working with Aileron to develop a class of drugs called Stapled Peptide Therapeutics, based on Aileron’s peptide stabilization technology. To start the collaboration, Roche will give Aileron $25 million in up front fees to gain access to the technology.

The deal calls for Roche and Aileron to work on drug candidates to target five undisclosed diseases or conditions. Those five do fall into Roche’s overall key areas of oncology, virology, inflammation, metabolism and central nervous system disorders, according to officials. To reach the $1.1 billion level, Aileron will have to meet a series of milestones in discovery, development, regulation and commercialization. But the $1.1 billion isn’t the final cap on the deal – Aileron is also eligible for royalties on any future sales that come out of the partnership.     Link

 

Citizen science: People power

The whole thing began by accident, says David Baker, a biochemist at the University of Washington in Seattle. It was 2005, and he and his colleagues had just unveiled Rosetta@home — one of those distributed-computing projects in which volunteers download a small piece of software and let their home computers do some extracurricular work when the machines would otherwise be idle. The downloaded program was devoted to the notoriously difficult problem of protein folding: determining how a linear chain of amino acids curls up into a three-dimensional shape that minimizes the internal stresses and strains — presumably the protein's natural shape. If the users wanted, they could watch on a screen saver as their computer methodically tugged and twisted the protein in search of a more favourable configuration.   Link


Probing Proteins: How to make sense of proliferating proteomics data…even if you’re not a proteomicist.

Pity the poor protein biologist. DNA sequence gurus have GenBank, structural biologists, PDB. But those looking to data-mine the spectral peaks and valleys of today’s burgeoning proteomics literature are out of luck. Or are they?

Several freely available databases are dedicated to the storage, annotation, and analysis of mass spectrometric proteomics data. Yet because they are both poorly advertised and sparsely populated, mining them to feed the sorts of meta-analyses that have become staples of gene sequence and gene expression studies largely has not been possible.   Link

Share the Data: Making Large-Scale Proteomics Data Widely Available

August 25, 2010 | Expert Commentary | Advancements in science and health care are made possible through widespread access to cutting-edge research data, as was clearly demonstrated during the Human Genome Project, where researchers collaborated to create an extensive data resource for the entire community. The proteomics community is beginning to implement analogous policies and infrastructure.

The National Cancer Institute (NCI) sponsored a summit in Amsterdam (August 2008) for members of the proteomics community to define policies and practices that would govern the public release of proteomic data. The resulting Amsterdam Principles provide recommendations for rapid proteomics data release and sharing policies, and includes guidelines for timing, comprehensiveness, formatting, deposition to repositories, quality metrics, and responsibility for data release (PMID: 19344107).

It was agreed that high-quality, well-annotated raw data is needed by the scientific community. Providing access to original data sets is crucial for evaluation and the integrity of peer review, but also for accelerating progress in biomedical research through data reuse. Data must be freely accessible and well annotated, but this will only happen if technical and social barriers are overcome and the infrastructure does not slow submissions or stifle innovation. This can be done in ways that address intellectual property concerns.   Link

 

 

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