Post-translational Modifications of Trypanosoma cruzi Canonical and Variant Histones.

Chagas disease, caused by Trypanosoma cruzi, still affects millions of people around the world. No vaccines nor treatment for chronic Chagas disease are available, and chemotherapy for the acute phase is hindered by limited efficacy and severe side effects. The processes by which the parasite acquires infectivity and survives in different hosts involve tight regulation of gene expression, mainly post-transcriptionally. Nevertheless, chromatin structure/organization of trypanosomatids is similar to other eukaryotes, including histone variants and post-translational modifications. Emerging evidence suggests that epigenetic mechanisms also play an important role in the biology/pathogenesis of these parasites, making epigenetic targets suitable candidates to drug discovery. Here, we present the first comprehensive map of post-translational modifications of T. cruzi canonical and variant histones and show that its histone code can be as sophisticated as that of other eukaryotes. A total of 13 distinct modification types were identified, including rather novel and unusual ones such as alternative lysine acylations, serine/threonine acetylation, and N-terminal methylation. Some histone marks correlate to those described for other organisms, suggesting that similar regulatory mechanisms may be in place. Others, however, are unique to T. cruzi or to trypanosomatids as a group and might represent good candidates for the development of antiparasitic drugs.

SILAC yeast: from labeling to comprehensive proteome quantification.

Mass spectrometry-based quantitative proteomics can identify and quantify thousands of proteins in complex mixtures, enabling characterization and comparison of cellular functional states in a proteome-wide scale. In this context, stable isotope labeling with amino acids in cell culture (SILAC) has emerged as a simple yet powerful approach, which has been applied to address different biological questions across a variety of systems, ranging from single cells to entire multicellular organisms. In this chapter, detailed instructions for SILAC labeling yeast are provided, including a series of quality checks for evaluating labeling efficiency and procedures for determining the optimal labeling parameters for a particular yeast strain. In addition, two different complete workflows for the comprehensive mass spectrometry-based SILAC quantification of close to the entire yeast proteome are described, which can be applied to assess any biological question of interest and, therefore, can be of broad use for the researchers in the field.

Profiling the Trypanosoma cruzi phosphoproteome.

Protein phosphorylation is a reversible post-translational modification essential for the regulation of several signal transduction pathways and biological processes in the living cell. Therefore, the identification of protein phosphorylation sites is crucial to understand cell signaling control at the molecular level. Based on mass spectrometry, recent studies have reported the large-scale mapping of phosphorylation sites in various eukaryotes and prokaryotes. However, little is known about the impact of phosphorylation in protozoan parasites. To in depth characterize the phosphoproteome of Trypanosoma cruzi, a parasite of the Kinetoplastida class, protein samples from cells at different phases of the metacyclogenesis--differentiation process of the parasites from non-infective epimastigotes to infective metacyclic trypomastigotes--were enriched for phosphopeptides using TiO(2) chromatography and analyzed on an LTQ-Orbitrap mass spectrometer. In total, 1,671 proteins were identified, including 753 phosphoproteins, containing a total of 2,572 phosphorylation sites. The distribution of phosphorylated residues was 2,162 (84.1%) on serine, 384 (14.9%) on threonine and 26 (1.0%) on tyrosine. Here, we also report several consensus phosphorylation sequence motifs and as some of these conserved groups have enriched biological functions, we can infer the regulation by protein kinases of this functions. To our knowledge, our phosphoproteome is the most comprehensive dataset identified until now for Kinetoplastida species. Here we also were able to extract biological information and infer groups of sites phosphorylated by the same protein kinase. To make our data accessible to the scientific community, we uploaded our study to the data repositories PHOSIDA, Proteome Commons and TriTrypDB enabling researchers to access information about the phosphorylation sites identified here.

High-accuracy identification and bioinformatic analysis of in vivo protein phosphorylation sites in yeast.

Protein phosphorylation is a fundamental regulatory mechanism that affects many cell signaling processes. Using high-accuracy MS and stable isotope labeling in cell culture-labeling, we provide a global view of the Saccharomyces cerevisiae phosphoproteome, containing 3620 phosphorylation sites mapped to 1118 proteins, representatively covering the yeast kinome and a multitude of transcription factors. We show that a single false discovery rate for all peptide identifications significantly overestimates occurrence of rare modifications, such as tyrosine phosphorylation in yeast. The identified phosphorylation sites are predominantly located on irregularly structured and accessible protein regions. We found high evolutionary conservation of phosphorylated proteins and a large overlap of significantly over-represented motifs with the human phosphoproteome. Nevertheless, phosphorylation events at the site level were not highly conserved between yeast and higher eukaryotes, which points to metazoan-specific kinase and substrate families. We constructed a yeast-specific phosphorylation sites predictor on the basis of a support vector machine, which - together with the yeast phosphorylation data - is integrated into the PHOSIDA database (www.phosida.com).

Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast.

Mass spectrometry is a powerful technology for the analysis of large numbers of endogenous proteins. However, the analytical challenges associated with comprehensive identification and relative quantification of cellular proteomes have so far appeared to be insurmountable. Here, using advances in computational proteomics, instrument performance and sample preparation strategies, we compare protein levels of essentially all endogenous proteins in haploid yeast cells to their diploid counterparts. Our analysis spans more than four orders of magnitude in protein abundance with no discrimination against membrane or low level regulatory proteins. Stable-isotope labelling by amino acids in cell culture (SILAC) quantification was very accurate across the proteome, as demonstrated by one-to-one ratios of most yeast proteins. Key members of the pheromone pathway were specific to haploid yeast but others were unaltered, suggesting an efficient control mechanism of the mating response. Several retrotransposon-associated proteins were specific to haploid yeast. Gene ontology analysis pinpointed a significant change for cell wall components in agreement with geometrical considerations: diploid cells have twice the volume but not twice the surface area of haploid cells. Transcriptome levels agreed poorly with proteome changes overall. However, after filtering out low confidence microarray measurements, messenger RNA changes and SILAC ratios correlated very well for pheromone pathway components. Systems-wide, precise quantification directly at the protein level opens up new perspectives in post-genomics and systems biology.

Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system.

BACKGROUND: Mass spectrometry has become a powerful tool for the analysis of large numbers of proteins in complex samples, enabling much of proteomics. Due to various analytical challenges, so far no proteome has been sequenced completely. O'Shea, Weissman and co-workers have recently determined the copy number of yeast proteins, making this proteome an excellent model system to study factors affecting coverage. RESULTS: To probe the yeast proteome in depth and determine factors currently preventing complete analysis, we grew yeast cells, extracted proteins and separated them by one-dimensional gel electrophoresis. Peptides resulting from trypsin digestion were analyzed by liquid chromatography mass spectrometry on a linear ion trap-Fourier transform mass spectrometer with very high mass accuracy and sequencing speed. We achieved unambiguous identification of more than 2,000 proteins, including very low abundant ones. Effective dynamic range was limited to about 1,000 and effective sensitivity to about 500 femtomoles, far from the subfemtomole sensitivity possible with single proteins. We used SILAC (stable isotope labeling by amino acids in cell culture) to generate one-to-one pairs of true peptide signals and investigated if sensitivity, sequencing speed or dynamic range were limiting the analysis. CONCLUSION: Advanced mass spectrometry methods can unambiguously identify more than 2,000 proteins in a single proteome. Complex mixture analysis is not limited by sensitivity but by a combination of dynamic range (high abundance peptides preventing sequencing of low abundance ones) and by effective sequencing speed. Substantially increased coverage of the yeast proteome appears feasible with further development in software and instrumentation.

Parts per million mass accuracy on an Orbitrap mass spectrometer via lock mass injection into a C-trap.

Mass accuracy is a key parameter of mass spectrometric performance. TOF instruments can reach low parts per million, and FT-ICR instruments are capable of even greater accuracy provided ion numbers are well controlled. Here we demonstrate sub-ppm mass accuracy on a linear ion trap coupled via a radio frequency-only storage trap (C-trap) to the orbitrap mass spectrometer (LTQ Orbitrap). Prior to acquisition of a spectrum, a background ion originating from ambient air is first transferred to the C-trap. Ions forming the MS or MS(n) spectrum are then added to this species, and all ions are injected into the orbitrap for analysis. Real time recalibration on the "lock mass" by corrections of mass shift removes mass error associated with calibration of the mass scale. The remaining mass error is mainly due to imperfect peaks caused by weak signals and is addressed by averaging the mass measurement over the LC peak, weighted by signal intensity. For peptide database searches in proteomics, we introduce a variable mass tolerance and achieve average absolute mass deviations of 0.48 ppm (standard deviation 0.38 ppm) and maximal deviations of less than 2 ppm. For tandem mass spectra we demonstrate similarly high mass accuracy and discuss its impact on database searching. High and routine mass accuracy in a compact instrument will dramatically improve certainty of peptide and small molecule identification.