A meta-analysis of expression signatures in glomerular disease.

Glomerular diseases represent major diagnostic and therapeutic challenges with classification of these diseases largely relying on clinical and histological findings. Elucidation of molecular mechanisms of progressive glomerular disease could facilitate quicker development. High-throughput expression profiling reveals all genes and proteins expressed in tissue and cell samples. These methods are very appropriate for glomerular disease as pure glomeruli can be obtained from kidney biopsies. To date, proteome profiling data are only available for normal glomeruli, but more robust transcriptome methods have been applied to many mouse model and a few human glomerular diseases. Here, we have carried out a meta-analysis of currently available glomerular expression data in normal and diseased glomeruli from mice, rats, and humans using a standardized protocol. The results suggest a potential for glomerular transcriptomics in identifying pathogenic pathways, disease monitoring, and the feasibility to use animal models to study human glomerular disease. We also found that currently there are no specific consensus biomarkers or pathways among different disease data sets, indicating there are likely disease-specific mechanisms and expression profiles. Thus, further transcriptomics and proteomics analysis, especially that of dynamic changes in the diseases, may lead to novel diagnostics tools and specific pharmacologic therapies.

Membrane protein identifications by mass spectrometry using electrocapture-based separation as part of a two-dimensional fractionation system.

A two-dimensional (2D) separation method was used to decrease sample complexity in analysis of tryptic peptides from glomerular membrane proteins by tandem mass spectrometry (MS/MS). The first dimension was carried out by electrocapture (EC), which fractionates peptides according to electrophoretic mobility. The second dimension was reverse-phase liquid chromatography (RP-LC), in which EC fractions were further separated and analyzed online by MS/MS. Using this methodology, we now identify 102 glomerular proteins (57 membrane proteins). Many peptides were possible to observe and select for MS/MS only using the 2D approach. Others were detectable in both one-dimensional (1D, without the EC step) and 2D experiments but were selectable for sequence analysis only from the 2D separations because the decrease in complexity then gives time for the mass analyzer to select the peptide and switch to the MS/MS mode. A minority of the peptides were detectable only in the 1D mode (presumably because of handling losses), but at the end this did not decrease the number of proteins identified by the 2D separation. After a database search, the combination of EC and RP-LC MS/MS versus a 1D RP-LC MS/MS separation resulted in a threefold increase in the number of proteins identified and improved the sequence coverage in the identifications, bringing our proteome-identified glomerular proteins to 282.

Microfluidic electrocapture for separation of peptides.

A separation method based on electroimmobilization and sequential release of captured molecules is reported. A microfluidic electrocapture device is utilized to immobilize peptides in a microflow stream. After capture, the electric field is decreased in a stepwise manner, causing sequential release of the captured peptides according to their electrophoretic mobility. Tryptic peptides were separated and analyzed by matrix-assisted laser desorption/ionization mass spectrometry. The separation power was high enough to increase the ionization yield of several peptides not seen in the unprocessed sample. In addition to separation, simultaneous sample cleanup was demonstrated for peptides obtained by shotgun tryptic digestion of membrane protein extracts.

Identification of endothelial proteins by MALDI-MS using a compact disc microfluidic system.

Vascular endothelial proteins have been analyzed using two-dimensional (2D) gel electrophoresis and subsequent mass spectrometry, with separate methods for the intervening sample preparations. Compact disc (CD) technology was found to be rapid, giving high overall yield both with ordinary Coomassie staining and with Sypro Ruby staining. Combined with automatic in-gel digestion, the CD technology has great capacity for large numbers of protein analysis, although for limited sample numbers, manual methods can give similar sequence coverage. In a test set of 48 samples, 45 proteins were identified using the CD preparation technique, 32 identified with higher sequence coverage using the CD technique, 7 with higher using ZipTips in a robotic workstation, and 5 with higher coverage using dried droplets of unpurified samples. In the process of these methodological comparisons, basic patterns for 116 endothelial proteins were defined, representing 297 separate protein spots on the 2D gels.