A Proteomic Style Approach To Characterize a Grass Mix Product Reveals Potential Immunotherapeutic Benefit
Alan Bullimore, BSc, Nicola Swan, MSc, Wemimo Alawode, PhD and 1 more
World Allergy Organization Journal · 2011
doi:10.1097/wox.0b013e3182260bd2 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Background Grass allergy immunotherapies often consist of a mix of different grass extracts, each containing several proteins of different physiochemical properties; however, the subtle contributions of each protein are difficult to elucidate. This study aimed to identify and characterize the group 1 and 5 allergens in a 13 grass extract and to standardize the extraction method.Methods The grass pollens were extracted in isolation and pooled and also in combination and analyzed using a variety of techniques including enzyme-linked immunosorbent assay, liquid chromatography-mass spectrometry, and sodium dodecyl sulfate-polyacrylamide gel electrophoresis.Results Gold-staining and IgE immunoblotting revealed a high degree of homology of protein bands between the 13 species and the presence of a densely stained doublet at 25-35 kD along with protein bands at approximately 12.5, 17, and 50 kD. The doublet from each grass species demonstrated a high level of group 1 and 5 interspecies homology. However, there were a number of bands unique to specific grasses consistent with evolutionary change and indicative that a grass mix immunotherapeutic could be considered broad spectrum.Conclusions Sodium dodecyl sulfate-polyacrylamide gel electrophoresis and IgE immunoblotting showed all 13 grasses share a high degree of homology, particularly in terms of group 1 and 5 allergens. IgE and IgG enzyme-linked immunosorbent assay potencies were shown to be independent of extraction method. Keywords: allergens, characterization, extraction, homology and standardization, mass spectrometry
Abstract licence: CC BY-NC-ND
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.