Inconsistencies in the red blood cell membrane proteome analysis: generation of a database for research and diagnostic applications.

Based on recent results, the determination of the easily accessible red blood cell (RBC) membrane proteins may provide new diagnostic possibilities for assessing mutations, polymorphisms or regulatory alterations in diseases. However, the analysis of the current mass spectrometry-based proteomics datasets and other major databases indicates inconsistencies-the results show large scattering and only a limited overlap for the identified RBC membrane proteins. Here, we applied membrane-specific proteomics studies in human RBC, compared these results with the data in the literature, and generated a comprehensive and expandable database using all available data sources. The integrated web database now refers to proteomic, genetic and medical databases as well, and contains an unexpected large number of validated membrane proteins previously thought to be specific for other tissues and/or related to major human diseases. Since the determination of protein expression in RBC provides a method to indicate pathological alterations, our database should facilitate the development of RBC membrane biomarker platforms and provide a unique resource to aid related further research and diagnostics.

Effects of the gout-causing Q141K polymorphism and a CFTR ΔF508 mimicking mutation on the processing and stability of the ABCG2 protein.

ABCG2 is an important multidrug transporter involved also in urate transport, thus its mutations can lead to the development of gout and may also alter general drug absorption, distribution and excretion. The frequent ABCG2 polymorphism, Q141K, is associated with an elevated risk of gout and has been controversially reported to reduce the plasma membrane expression and/or the transport function of the protein. In the present work we examined the stability and cellular processing of the Q141K ABCG2 variant, as well as that of the ΔF142 ABCG2, corresponding to the ΔF508 mutation in the CFTR (ABCC7) protein, causing cystic fibrosis. The processing and localization of full length ABCG2 variants were investigated in mammalian cells, followed by Western blotting and confocal microscopy, respectively. Folding and stability were examined by limited proteolysis of Sf9 insect cell membranes expressing these ABCG2 constructs. Stability of isolated nucleotide binding domains, expressed in and purified from bacteria, was studied by CD spectroscopy. We find that the Q141K variant has a mild processing defect which can be rescued by low temperature, a slightly reduced activity, and a mild folding defect, especially affecting the NBD. In contrast, the ΔF142 mutant has major processing and folding defects, and no ATPase function. We suggest that although these mutations are both localized within the NBD, based on molecular modeling their contribution to the ABCG2 structure and function is different, thus rescue strategies may be devised accordingly.

ABCMdb: a database for the comparative analysis of protein mutations in ABC transporters, and a potential framework for a general application.

To overcome the pathological phenomena caused by altered function of ABC (ATP Binding Cassette) proteins, their mechanisms of action are extensively investigated, often involving the design of mutant constructs for experiments. Designing mutagenetic constructs, interpreting the result of mutagenetic experiments, and finding individual genetic variants require an extensive knowledge of previously published mutations. To aid the recapitulation of mutations described in the literature, we set up a database of ABC protein mutations (ABCMdb) extracted from full-text papers using an automatic mining approach. We have also developed a Web application interface to compare mutations in different ABC proteins using sequence alignments and to interactively map the mutations to 3D structural models. Currently our database contains protein mutations published for ABCB1, ABCB11, ABCC1, ABCC6, ABCC7, and the proteins of the ABCG subfamily. The database will be extended to include other members and subfamilies, and to provide information on whether or not a mutation is disease causing, represents a high-incidence polymorphism, or was generated only in vitro. The ABCMdb database should already help to compare the effects of mutations at homologous positions in different ABC proteins, and its interactive tools aim to advance the design of experiments for a wider range of proteins.