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Low-Abundance Protein Enrichment

October 15, 2010 (Vol. 30, No. 18) Hexapeptide Kits Useful for Many Sample Types One of the challenges in proteome analysis is that samples are often dominated by a relatively small number of high-abundance proteins whose presence can obscure less-abundant pro

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October 15, 2010 (Vol. 30, No. 18)

Hexapeptide Kits Useful for Many Sample Types

One of the challenges in proteome analysis is that samples are often dominated by a relatively small number of high-abundance proteins whose presence can obscure less-abundant proteins and limit the capacity and resolution of the separation technique(s) employed. This is especially the case for serum and plasma where some 20 proteins constitute more than 98% of the protein mass, according to Aran Paulus, Ph.D., R&D manager of new technologies and proteomics applications at Bio-Rad Laboratories.

Many other tissues and cells also have high percentages of specific proteins, Dr. Paulus adds.

In a poster entitled “Enriching Low-Abundance Proteins Using ProteoMiner™ Protein Enrichment Technology,” S. Freeby et al. at Bio-Rad discuss the removal of highly abundant proteins by two different approaches. The first is immunodepletion, which is used to remove species-specific proteins in serum or plasma.

“Alternatively, one can use a library of combinatorial hexapeptides to bind all possible proteins in a complex mixture,” notes the Bio-Rad authors. “In this approach, which is independent of the sample source, the concentration of high-abundance proteins is reduced, and medium- and low-abundance proteins are enriched.”

ProteoMiner technology removes a large proportion of the high-abundance proteins in a complex mixture, facilitating detection of low-abundance protein biomarkers, according to Bio-Rad. Users mix their sample with a diverse library of hexapeptides bound to chromatographic beads. High-abundance proteins will rapidly saturate their hexapeptide ligands (red and yellow beads), and excess protein can then be washed away, while low-abundance proteins will remain bound to their ligands (pink and teal beads) and concentrated on the chromatographic support.

Kit Format

Bio-Rad markets the hexapeptide technology in the form of its ProteoMiner enrichment kits. Since this technology does not rely on antibodies, it can theoretically be applied to multiple sample types.

The Bio-Rad research described in the poster was designed to examine the applicability of ProteoMiner protein enrichment kits for the reduction of high-abundance proteins and enrichment of medium- and low-abundant proteins from heart muscle, HeLa cells, and E. coli protein samples. The scientists discussed the conditions for protein extraction, treatment with ProteoMiner beads, and analysis with 2-D gel electrophoresis.

The group concluded that the technology, first developed for the reduction of high-abundance proteins in serum and plasma, does work with tissues, cell lines, bacterial, and plant samples. They said they found a significant reduction of the top high-abundance proteins in each sample set, as confirmed by mass spectroscopy identification.

In addition, “heart and HeLa cell proteins that have been extracted under denaturing conditions can be used successfully with ProteoMiner protein enrichment kits,” they wrote, adding that “ProteoMiner bead treatment enriches a unique population of proteins not apparent in the untreated samples.”

Because of the removal of greater than 95% of sample protein mass, protein spot numbers for heart, HeLa cells, and E. coli increased 14%–28% following ProteoMiner bead treatment, the team reported.

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Related questions

01How stable is the antibody?

A crucial question often addressed during preclinical development focuses on the in vivo stability of therapeutic antibodies. Increasing the half-life of a therapeutic antibody has several benefits ranging from higher treatment efficacy to increased advantages for the patients who will have a fewer number of therapy sessions and a reduced cost. Given these compelling benefits, following the identification of therapeutic antibodies with the desired specificity, developers usually subject them to a refinement step to increase their stability. This process is often hindered by the lack of reliable experimental tools to predict the half-life of antibodies in patients. The major hurdle of using mouse models to predict antibody stability in the serum lies in the way immunoglobulin proteins are processed by the organism. In mammals, most proteins circulating in the serum undergo constant uptake by endothelial cells and are routed through the endosomes to the lysosomal compartment for degradation. In the endosomes, immunoglobulin G (IgG) proteins are recognized and bound by a transmembrane protein, called the neonatal Fc receptor (FcRn), which mediates their recycling to the plasma membrane and subsequent release back into the serum. As a result, the half-life of IgGs are significantly extended by this mechanism. Since most therapeutic antibodies belong to the IgG class, this recycling system is very relevant for their relative stability in the body. Remarkably, the relative affinity between IgGs and FcRn is extremely disparate between different species, with the mouse receptor showing a much higher affinity than its human counterpart.

Source: www.genengnews.com ↗
02Undruggable or unscreenable?

Another obstacle to discovering new PPI inhibitors is the lack of libraries designed to hunt for them, points out Philippe Roche, PhD, senior scientist at the Integrative Structural and Chemical Biology team at the Cancer Research Center of Marseilles, France. “If you screen PPIs using libraries that were designed for kinases or GPCRs, that’s why you don’t get a lot of good results,” he says. To that end, his group began assembling a library focused on orthosteric inhibitors of PPIs. The result was 2P2Idb, a hand-curated, structural database cataloguing orthosteric inhibitors of PPIs for which the interface had been 3D characterized. From analyzing these known PPI inhibitors, and what structures they had in common, Roche and his colleagues developed a model to predict whether compounds would likely inhibit PPIs. Using this method, 2P2Idb creates an enriched screening library that dramatically increases the hit rate compared to standard libraries. Having proven their success with a small library of 1600 compounds, they are in the process of expanding the library to 10,000 compounds. Once that’s published, “the idea is to make this library available to labs around the world,” Roche says. “We will provide the library free of charge for people to be able to screen PPI targets.”

Source: www.genengnews.com ↗
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Peptide Therapy Guide Editorial Team

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