Polyglucosan body density in the aged mouse hippocampus is controlled by a novel modifier locus on chromosome 1.

Aging can be associated with the accumulation of hypobranched glycogen molecules (polyglucosan bodies, PGBs), particularly in astrocytes of the hippocampus. While PGBs have a detrimental effect on cognition in diseases such as adult polyglucosan body disease and Lafora disease, the underlying mechanism and clinical relevance of age-related PGB accumulation remains unknown. Here, we have investigated the genetic basis and functional impact of age-related PGB accumulation in 32 fully sequenced BXD-type strains of mice which exhibit a 400-fold variation in PGB burden in 16-18 month old females. We mapped a major locus controlling PGB density in the hippocampus to chromosome 1 at 72-75 Mb (linkage of 4.9 -logP), which we defined as the Pgb1 locus. To identify potentially causal gene variants within Pgb1, we generated extensive hippocampal transcriptome datasets and identified two strong candidate genes for which mRNA correlates with PGB density-Smarcal1 and Usp37. In addition, both Smarcal1 and Usp37 contain non-synonymous allele variations likely to impact protein function. A phenome-wide association analysis highlighted a trans-regulatory effect of the Pgb1 locus on expression of Hp1bp3, a gene known to play a role in age-related changes in learning and memory. To investigate the potential impact of PGBs on cognition, we performed conditioned fear memory testing on strains displaying varying degrees of PGB burden, and a phenome-wide association scan of ~12,000 traits. Importantly, we did not find any evidence suggesting a negative impact of PGB burden on cognitive capacity. Taken together, we have identified a major modifier locus controlling PGB burden in the hippocampus and shed light on the genetic architecture and clinical relevance of this strikingly heterogeneous hippocampal phenotype.

Separation of blood microsamples by exploiting sedimentation at the microscale.

Microsample analysis is highly beneficial in blood-based testing where cutting-edge bioanalytical technologies enable the analysis of volumes down to a few tens of microliters. Despite the availability of analytical methods, the difficulty in obtaining high-quality and standardized microsamples at the point of collection remains a major limitation of the process. Here, we detail and model a blood separation principle which exploits discrete viscosity differences caused by blood particle sedimentation in a laminar flow. Based on this phenomenon, we developed a portable capillary-driven microfluidic device that separates blood microsamples collected from finger-pricks and delivers 2 µL of metered serum for bench-top analysis. Flow cytometric analysis demonstrated the high purity of generated microsamples. Proteomic and metabolomic analyses of the microsamples of 283 proteins and 1351 metabolite features was consistent with samples generated via a conventional centrifugation method. These results were confirmed by a clinical study scrutinising 8 blood markers in obese patients.

Structural modeling of protein-RNA complexes using crosslinking of segmentally isotope-labeled RNA and MS/MS.

Ribonucleoproteins (RNPs) are key regulators of cellular function. We established an efficient approach, crosslinking of segmentally isotope-labeled RNA and tandem mass spectrometry (CLIR-MS/MS), to localize protein-RNA interactions simultaneously at amino acid and nucleotide resolution. The approach was tested on polypyrimidine tract binding protein 1 and U1 small nuclear RNP. Our method provides distance restraints to support integrative atomic-scale structural modeling and to gain mechanistic insights into RNP-regulated processes.

Activity-based proteomics: identification of ABHD11 and ESD activities as potential biomarkers for human lung adenocarcinoma.

Lung cancer is the leading cause of all cancer related deaths with a worldwide mortality of 1.2 million each year. The 5-year survival rate ranges from 80% in early stages to a dismal 5% in advanced disease. Prognosis is currently mostly determined based on the extension of disease at diagnosis. Thereby it has become evident that predicted and real outcomes can vary significantly, even for patients with the same stage of disease. Novel biomarkers with a reliable predictive significance are therefore clearly needed. In this study we implemented an activity-based, solely mass spectrometry dependent biomarker discovery platform. We investigated the role of serine hydrolase activities as potential biomarkers for human lung adenocarcinoma, the most common lung cancer subtype. Forty pairs of fresh frozen malignant and matching non-neoplastic lung tissues were analyzed and enzymatic activities linked to clinical follow-up data. We found that the activities of Abhydrolase domain-containing protein 11 and Esterase D predict the development of distant metastases and the presence of aggressive lung adenocarcinomas, respectively, in a statistically significant model. We conclude that serine hydrolase activities bear a predictive potential for human lung adenocarcinoma and that activity-based proteomics represents a powerful methodology in the search for novel disease biomarkers.

The protein information and property explorer: an easy-to-use, rich-client web application for the management and functional analysis of proteomic data.

MOTIVATION: Mass spectrometry experiments in the field of proteomics produce lists containing tens to thousands of identified proteins. With the protein information and property explorer (PIPE), the biologist can acquire functional annotations for these proteins and explore the enrichment of the list, or fraction thereof, with respect to functional classes. These protein lists may be saved for access at a later time or different location. The PIPE is interoperable with the Firegoose and the Gaggle, permitting wide-ranging data exploration and analysis. The PIPE is a rich-client web application which uses AJAX capabilities provided by the Google Web Toolkit, and server-side data storage using Hibernate. AVAILABILITY: http://pipe.systemsbiology.net.

Tandem mass spectrometry protein identification on a PC grid.

We present a method to grid-enable tandem mass spectrometry protein identification. The implemented parallelization strategy embeds the open-source x!tandem tool in a grid-enabled workflow. This allows rapid analysis of large-scale mass spectrometry experiments on existing heterogeneous hardware. We have explored different data-splitting schemes, considering both splitting spectra datasets and protein databases, and examine the impact of the different schemes on scoring and computation time. While resulting peptide e-values exhibit fluctuation, we show that these variations are small, caused by statistical rather than numerical instability, and are not specific to the grid environment. The correlation coefficient of results obtained on a standalone machine versus the grid environment is found to be better than 0.933 for spectra and 0.984 for protein identification, demonstrating the validity of our approach. Finally, we examine the effect of different splitting schemes of spectra and protein data on CPU time and overall wall clock time, revealing that judicious splitting of both data sets yields best overall performance.

Smooth muscle cell phenotypic transition associated with calcification: upregulation of Cbfa1 and downregulation of smooth muscle lineage markers.

Bovine aortic smooth muscle cell (BASMC) cultures undergo mineralization on addition of the organic phosphate donor, beta-glycerophosphate (betaGP). Mineralization is characterized by apatite deposition on collagen fibrils and the presence of matrix vesicles, as has been described in calcified vascular lesions in vivo as well as in bone and teeth. In the present study, we used this model to investigate the molecular mechanisms driving vascular calcification. We found that BASMCs lost their lineage markers, SM22alpha and smooth muscle alpha-actin, within 10 days of being placed under calcifying conditions. Conversely, the cells gained an osteogenic phenotype as indicated by an increase in expression and DNA-binding activity of the transcription factor, core binding factor alpha1 (Cbfa1). Moreover, genes containing the Cbfa1 binding site, OSE2, including osteopontin, osteocalcin, and alkaline phosphatase were elevated. The relevance of these in vitro findings to vascular calcification in vivo was further studied in matrix GLA protein null (MGP(-/-)) mice whose arteries spontaneously calcify. We found that arterial calcification was associated with a similar loss in smooth muscle markers and a gain of osteopontin and Cbfa1 expression. These data demonstrate a novel association of vascular calcification with smooth muscle cell phenotypic transition, in which several osteogenic proteins including osteopontin, osteocalcin, and the bone determining factor Cbfa1 are gained. The findings suggest a positive role for SMCs in promoting vascular calcification.

Hierarchical phosphorylation of the translation inhibitor 4E-BP1.

In most instances, translation is regulated at the initiation phase, when a ribosome is recruited to the 5' end of an mRNA. The eIF4E-binding proteins (4E-BPs) interdict translation initiation by binding to the translation factor eIF4E, and preventing recruitment of the translation machinery to mRNA. The 4E-BPs inhibit translation in a reversible manner. Hypophosphorylated 4E-BPs interact avidly with eIF4E, whereas 4E-BP hyperphosphorylation, elicited by stimulation of cells with hormones, cytokines, or growth factors, results in an abrogation of eIF4E-binding activity. We reported previously that phosphorylation of 4E-BP1 on Thr 37 and Thr 46 is relatively insensitive to serum deprivation and rapamycin treatment, and that phosphorylation of these residues is required for the subsequent phosphorylation of a set of unidentified serum-responsive sites. Here, using mass spectrometry, we identify the serum-responsive, rapamycin-sensitive sites as Ser 65 and Thr 70. Utilizing a novel combination of two-dimensional isoelectric focusing/SDS-PAGE and Western blotting with phosphospecific antibodies, we also establish the order of 4E-BP1 phosphorylation in vivo; phosphorylation of Thr 37/Thr 46 is followed by Thr 70 phosphorylation, and Ser 65 is phosphorylated last. Finally, we show that phosphorylation of Ser 65 and Thr 70 alone is insufficient to block binding to eIF4E, indicating that a combination of phosphorylation events is necessary to dissociate 4E-BP1 from eIF4E.

Mass spectrometric characterization of proteins extracted from Jurkat T cell detergent-resistant membrane domains.

Plasma membranes of most cell types are thought to contain microdomains commonly referred to as lipid rafts, biochemically distinct from bulk plasma membrane, apparently enriched for proteins involved in signal transduction. In T cells, it is believed that lipid rafts aggregate at the site of T cell receptor engagement and act as foci for initiation of the signaling process. In order to gain insight into the possible functioning of lipid rafts, we applied microcapillary liquid chromatography electrospray ionization tandem mass spectrometry (microLC-ESI-MS/MS) methodologies to the identification of proteins which copurified with lipid rafts. Following isolation of lipid rafts as Triton-insoluble, low-density membrane fractions from Jurkat T cells, tryptic digests were generated of individual protein bands resolved electrophoretically. Alternatively, cysteine-containing peptides were isolated from total tryptic digests of unseparated lipid raft proteins following labeling with a cysteine-specific biotinylation reagent and avidin affinity purification. In both cases, protein identifications were made by comparison of tandem MS spectra generated by microLC-ESI-MS/MS to both protein and DNA sequence databases using Sequest software. Proteins identified essentially fell into two groups: cytoskeletal proteins, and proteins involved in signal transduction. These findings are discussed in the light of the current understanding of both lipid raft biology and signal transduction.

Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry.

An approach to the systematic identification and quantification of the proteins contained in the microsomal fraction of cells is described. It consists of three steps: (1) preparation of microsomal fractions from cells or tissues representing different states; (2) covalent tagging of the proteins with isotope-coded affinity tag (ICAT) reagents followed by proteolysis of the combined labeled protein samples; and (3) isolation, identification, and quantification of the tagged peptides by multidimensional chromatography, automated tandem mass spectrometry, and computational analysis of the obtained data. The method was used to identify and determine the ratios of abundance of each of 491 proteins contained in the microsomal fractions of naïve and in vitro- differentiated human myeloid leukemia (HL-60) cells. The method and the new software tools to support it are well suited to the large-scale, quantitative analysis of membrane proteins and other classes of proteins that have been refractory to standard proteomics technology.

CD28 stimulation regulates its association with N-ethylmaleimide-sensitive fusion protein and other proteins involved in vesicle sorting.

CD28 delivers a co-stimulatory signal for T cell antigen receptor induced activation of T cells through a mechanism which remains mostly elusive to date. In order to try and gain insight into CD28 function, we therefore applied state-of-the-art mass spectrometric protein identification technology to the analysis of CD28 immunoprecipitates prepared from Jurkat T cells. We found that N-ethylmaleimide-sensitive fusion protein (NSF) and other proteins with sequence similarities to proteins part of or implicated in vesicular protein sorting pathways, were associated with CD28 in a CD28 stimulation-dependent manner. Furthermore, N-ethylmaleimide treatment abolished the NSF/CD28 interaction completely, and blocked CD28 association with a tyrosine phosphorylated 103 kDa protein in the activated cells. These results are suggestive of a potential model for CD28 co-stimulation regulated by an NSF-catalyzed mechanism.

Identification of the target of monoclonal antibody A6H as dipeptidyl peptidase IV/CD26 by LC MS\MS.

The monoclonal antibody (MAb) A6H, originally developed to fetal renal tissues, was found to be highly reactive to renal cell carcinoma and was subsequently demonstrated to co-stimulate a subpopulation of T cells. The A6H antigen had not been identified heretofore. Antigen from detergent extracts of renal cell carcinoma cells (7860) was immunoabsorbed with A6H-agarose, and the resin-bound proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). The antigen had a molecular weight of approximately 120 kDa as determined by Western blots. The 120-kDa protein band was excised and subjected to in-gel tryptic digestion, and the resulting peptides were separated and analyzed by liquid chromatography tandem mass spectrometry (LC MS\MS). The tandem mass spectra of the eluting peptides were used in combination with the SEQUEST computer program to search a human National Cancer Institute (NCI) protein database for the identity of the protein. The target antigen was shown to be dipeptidyl peptidase IV (DPP IV), which is also known as the cluster differentiation antigen CD26. Flow analysis of the expression of the A6H antigen and of CD26 on 7860 cells and on peripheral blood lymphocytes supported the identification of the A6H antigen as DPP IV. Recognition that the A6H antigen is DPP IV/CD26 afforded the opportunity to compare previous studies on A6H with those on other anti-CD26 antibodies in terms of expression in cancer cell lines and various tissues and as co-stimulators of T-cell activation.

Four related proteins of the Trypanosoma brucei RNA editing complex.

RNA editing in kinetoplastid mitochondria occurs by a series of enzymatic steps that is catalyzed by a macromolecular complex. Four novel proteins and their corresponding genes were identified by mass spectrometric analysis of purified editing complexes from Trypanosoma brucei. These four proteins, TbMP81, TbMP63, TbMP42, and TbMP18, contain conserved sequences to various degrees. All four proteins have sequence similarity in the C terminus; TbMP18 has considerable sequence similarity to the C-terminal region of TbMP42, and TbMP81, TbMP63, and TbMP42 contain zinc finger motif(s). Monoclonal antibodies that are specific for TbMP63 and TbMP42 immunoprecipitate in vitro RNA editing activities. The proteins are present in the immunoprecipitates and sediment at 20S along with the in vitro editing, and RNA editing ligases TbMP52 and TbMP48. Recombinant TbMP63 and TbMP52 coimmunoprecipitate. These results indicate that these four proteins are components of the RNA editing complex and that TbMP63 and TbMP52 can interact.

Optimization of the isotope-coded affinity tag-labeling procedure for quantitative proteome analysis.

The combination of isotope coded affinity tag (ICAT) reagents and tandem mass spectrometry constitutes a new method for quantitative proteomics. It involves the site-specific, covalent labeling of proteins with isotopically normal or heavy ICAT reagents, proteolysis of the combined, labeled protein mixture, followed by the isolation and mass spectrometric analysis of the labeled peptides. The method critically depends on labeling protocols that are specific, quantitative, general, robust, and reproducible. Here we describe the systematic evaluation of important parameters of the labeling protocol and describe optimized labeling conditions. The tested factors include the ICAT reagent concentration, the influence of the protein, SDS, and urea concentrations on the labeling reaction, and the reaction time. We demonstrate that using the optimized conditions specific and quantitative labeling was achieved on standard proteins as well as in complex protein mixtures such as a yeast cell lysate.

Functional interaction of calcium-/calmodulin-dependent protein kinase II and cytosolic phospholipase A(2).

Calcium-/calmodulin-dependent protein kinase II (CaM kinase II), a decoder of Ca(2+) signals, and cytosolic phospholipase A(2) (cPLA(2)), an enzyme involved in arachidonate release, are involved in many physiological and pathophysiological processes. Activation of CaM kinase II in norepinephrine-stimulated vascular smooth muscle cells leads to activation of cPLA(2) and arachidonic acid release. Surface plasmon resonance, mass spectrometry, and kinetic studies show that CaM kinase II binds to cPLA(2) resulting in cPLA(2) phosphorylation on Ser-515 and an increase in its enzymatic activity. Phosphopeptide mapping studies with cPLA(2) from norepinephrine-stimulated smooth muscle cells indicates that phosphorylation of cPLA(2) on Ser-515, but not on Ser-505 or Ser-727, occurs in vivo. This novel signaling pathway for arachidonate release is shown to be cPLA(2)-dependent by use of a recently described and highly selective inhibitor of this enzyme.

Differential stable isotope labeling of peptides for quantitation and de novo sequence derivation.

We have demonstrated the use of per-methyl esterification of peptides for relative quantification of proteins between two mixtures of proteins and automated de novo sequence derivation on the same dataset. Protein mixtures for comparison were digested to peptides and resultant peptides methylated using either d0- or d3-methanol. Methyl esterification of peptides converted carboxylic acids, such as are present on the side chains of aspartic and glutamic acid as well as the carboxyl terminus, to their corresponding methyl esters. The separate d0- and d3-methylated peptide mixtures were combined and the mixture subjected to microcapillary high performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS). Parent proteins of methylated peptides were identified by correlative database searching of peptide tandem mass spectra. Ratios of proteins in the two original mixtures could be calculated by normalization of the area under the curve for identical charge states of d0- to d3-methylated peptides. An algorithm was developed that derived, without intervention, peptide sequence de novo by comparison of tandem mass spectra of d0- and d3-peptide methyl esters.