Quanhu Sheng

A bayesian approach to protein inference problem in shotgun proteomics.

The protein inference problem represents a major challenge in shotgun proteomics. In this article, we describe a novel Bayesian approach to address this challenge by incorporating the predicted peptide detectabilities as the prior probabilities of peptide identification. We propose a rigorious probabilistic model for protein inference and provide practical algoritmic solutions to this problem. We used a complex synthetic protein mixture to test our method and obtained promising results.

ProteinQuant Suite: a bundle of automated software tools for label‐free quantitative proteomics

In simplifying the evaluation and quantification of high-throughput label-free quantitative proteomic data, we introduce ProteinQuant Suite. It comprises three standalone complementary computer utilities, namely ProtParser, ProteinQuant, and Turbo RAW2MGF. ProtParser is a filtering utility designed to evaluate database search results. Filtering is performed according to different criteria that are defined by the end-user. ProteinQuant then utilizes this parsed list of peptides and proteins in conjunction with mzXML or mzData files generated from the raw files for quantification. This quantification is based on the automatic detection and integration of chromatographic peaks representative of the liquid chromatography/mass spectrometry (LC/MS) elution profiles of identified peptides. Turbo RAW2MGF was developed to extend the applicability of ProteinQuant Suite to data collected from different types of mass spectrometers. It directly processes raw data files generated by Xcalibur, a ThermoElectron data acquisition software, and generates a MASCOT generic file (MGF). This file format is needed since the protein identification results generated by the database search employing this file format include information required for the precise identification and quantification of chromatographic peaks. The performance of ProteinQuant Suite was initially validated using LC/MS/MS generated for a mixture of standard proteins as well as standard proteins spiked in a complex biological matrix such as blood serum. Automated quantification of the collected data resulted in calibration curves with R(2) values higher than 0.95 with linearity spanning over more than 2 orders of magnitude with peak quantification reproducibility better than 15% (RSD). ProteinQuant Suite was also applied to confirm the binding preference of standard glycoproteins to Con A lectin using a sample consisting of both standard glycoproteins and proteins.

High-coverage proteome analysis reveals the first insight of protein modification systems in the pathogenic spirochete Leptospira interrogans

Leptospirosis is a widespread zoonotic disease caused by pathogenic spirochetes of the genus Leptospira that infects humans and a wide range of animals. By combining computational prediction and high-accuracy tandem mass spectra, we revised the genome annotation of Leptospira interrogans serovar Lai, a free-living pathogenic spirochete responsible for leptospirosis, providing substantial peptide evidence for novel genes and new gene boundaries. Subsequently, we presented a high-coverage proteome analysis of protein expression and multiple posttranslational modifications (PTMs). Approximately 64.3% of the predicted L. interrogans proteins were cataloged by detecting 2 540 proteins. Meanwhile, a profile of multiple PTMs was concurrently established, containing in total 32 phosphorylated, 46 acetylated and 155 methylated proteins. The PTM systems in the serovar Lai show unique features. Unique eukaryotic-like features of L. interrogans protein modifications were demonstrated in both phosphorylation and arginine methylation. This systematic analysis provides not only comprehensive information of high-coverage protein expression and multiple modifications in prokaryotes but also a view suggesting that the evolutionarily primitive L. interrogans shares significant similarities in protein modification systems with eukaryotes.

Quantitative comparison of sarcomeric phosphoproteomes of neonatal and adult rat hearts

Neonatal hearts respond to stress and function in an environment quite different from adult hearts. There is evidence that these functional differences not only reflect modifications in the abundance and isoforms of sarcomeric proteins but also in the modulation of sarcomeric protein phosphorylation. Yet our understanding of changes in sarcomeric protein phosphorylation in development is incomplete. In the experiments reported here, we first quantified the intact sarcomeric protein phosphorylation status between neonatal and adult rat hearts by employing comparative two-dimensional (2-D) gel electrophoresis in conjunction with phosphoprotein-specific staining. Subsequently, we measured phosphorylation changes at the peptide level by employing high-resolution linear ion trap-Fourier transform (LTQ-FT) mass spectrometry analysis of titanium dioxide-enriched phosphopeptides differentially labeled with (16)O/(18)O during in-gel digestion. We also employed Western blot analysis using phosphorylation site-specific antibodies to measure phosphorylation changes. Our data demonstrated the novel finding that phosphorylation levels of myosin-binding protein C (MyBP-C) at Ser(295) and Ser(315) as well as tropomyosin at Ser(283) increased, whereas phosphorylation levels of MyBP-C at Ser(320) and myosin light chain 2 at Ser(15) decreased in neonatal hearts compared with the same sites in adult hearts. Although our data highlight the significant challenges in understanding relations between protein phosphorylation and cardiac function, they do support the hypothesis that developmental changes in the modulation of protein are functionally significant and correlate with the prevailing physiological state.

BuildSummary: Using a Group-Based Approach To Improve the Sensitivity of Peptide/Protein Identification in Shotgun Proteomics

The target-decoy database search strategy is widely accepted as a standard method for estimating the false discovery rate (FDR) of peptide identification, based on which peptide-spectrum matches (PSMs) from the target database are filtered. To improve the sensitivity of protein identification given a fixed accuracy (frequently defined by a protein FDR threshold), a postprocessing procedure is often used that integrates results from different peptide search engines that had assayed the same data set. In this work, we show that PSMs that are grouped by the precursor charge, the number of missed internal cleavage sites, the modification state, and the numbers of protease termini and that the proteins grouped by their unique peptide count should be filtered separately according to the given FDR. We also develop an iterative procedure to filter the PSMs and proteins simultaneously, according to the given FDR. Finally, we present a general framework to integrate the results from different peptide search engines using the same FDR threshold. Our method was tested with several shotgun proteomics data sets that were acquired by multiple LC/MS instruments from two different biological samples. The results showed a satisfactory performance. We implemented the method in a user-friendly software package called BuildSummary, which can be downloaded for free from http://www.proteomics.ac.cn/software/proteomicstools/index.htm as part of the software suite ProteomicsTools.

Comprehensive Profiling of Phosphopeptides Based on Anion Exchange Followed by Flow-Through Enrichment with Titanium Dioxide (AFET)

For large-scale analysis of phosphorylation at proteome-wide scale, a variety of affinity-based strategies have been developed to enrich phosphopeptide. Because each method differed in their specificity of isolation, the global and unbiased enrichment of phosphopeptides remains a major technical challenge in phosphoproteomics. In the present work, we demostrate that the phosphopeptide enrichment method based on an online continuous pH gradient in a strong anion exchange column (SAX method) is highly complementary to the method based on titanium dioxide (TiO2) affinity enrichment. Moreover, we found that the flow-through fraction of either SAX or SCX is very phosphopeptide-rich, which necessitates further analysis by complementary method. Here, we developed a comprehensive phosphopeptides profiling strategy based on anion exchange followed by flow-through enrichment by TiO2 (AFET). In this strategy, SAX method was used as the first separation/enrichment step, which was online coupled with LC-MS/MS. The phosphopeptides in the SAX flow-through fraction were further enriched with TiO2. As a result, a more comprehensive, less biased phosphoproteome was aquired. Careful comparison of four different combination strategies reveal that the AFET method showed the advantages of more identified phosphopeptides, less mass spectrometry analysis time, as well as simple and automatic process step. It is well-suited for robust and reproducible phosphoproteomics, especially in the case of small amounts of sample.

Fast and accurate identification of semi-tryptic peptides in shotgun proteomics

MOTIVATION One of the major problems in shotgun proteomics is the low peptide coverage when analyzing complex protein samples. Identifying more peptides, e.g. non-tryptic peptides, may increase the peptide coverage and improve protein identification and/or quantification that are based on the peptide identification results. Searching for all potential non-tryptic peptides is, however, time consuming for shotgun proteomics data from complex samples, and poses a challenge for a routine data analysis. RESULTS We hypothesize that non-tryptic peptides are mainly created from the truncation of regular tryptic peptides before separation. We introduce the notion of truncatability of a tryptic peptide, i.e. the probability of the peptide to be identified in its truncated form, and build a predictor to estimate a peptides truncatability from its sequence. We show that our predictions achieve useful accuracy, with the area under the ROC curve from 76% to 87%, and can be used to filter the sequence database for identifying truncated peptides. After filtering, only a limited number of tryptic peptides with the highest truncatability are retained for non-tryptic peptide searching. By applying this method to identification of semi-tryptic peptides, we show that a significant number of such peptides can be identified within a searching time comparable to that of tryptic peptide identification.

Proteomic Changes in the Photoreceptor Outer Segment upon Intense Light Exposure

Acute light-induced photoreceptor degeneration has been studied in experimental animals as a model for photoreceptor cell loss in human retinal degenerative diseases. Light absorption by rhodopsin in rod photoreceptor outer segments (OS) induces oxidative stress and initiates apoptotic cell death. However, the molecular events that induce oxidative stress and initiate the apoptotic cascade remain poorly understood. To better understand the molecular mechanisms of light-induced photoreceptor cell death, we studied the proteomic changes in OS upon intense light exposure by using a proteolytic (18)O labeling method. Of 171 proteins identified, the relative abundance of 98 proteins in light-exposed and unexposed OS was determined. The quantities of 11 proteins were found to differ by more than 2-fold between light-exposed OS and those remaining in darkness. Among the 11 proteins, 8 were phototransduction proteins and 7 of these were altered such that the efficiency of phototransduction would be reduced or quenched during light exposure. In contrast, the amount of OS rhodopsin kinase was reduced by 2-fold after light exposure, suggesting attenuation in the mechanism of quenching phototransduction. Liquid chromatography multiple reaction monitoring (LC-MRM) was performed to confirm this reduction in the quantity of rhodopsin kinase. As revealed by immunofluorescence microscopy, this reduction of rhodopsin kinase is not a result of protein translocation from the outer to the inner segment. Collectively, our findings suggest that the absolute quantity of rhodopsin kinase in rod photoreceptors is reduced upon light stimulation and that this reduction may be a contributing factor to light-induced photoreceptor cell death. This report provides new insights into the proteomic changes in the OS upon intense light exposure and creates a foundation for understanding the mechanisms of light-induced photoreceptor cell death.

A Bayesian approach to protein inference problem in shotgun proteomics

The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predicted peptide detectabilities as the prior probabilities of peptide identification. Our model removes some unrealistic assumptions used in previous approaches and provides a rigorious probabilistic solution to this problem. We used a complex synthetic protein mixture to test our method, and obtained promising results.

Monitoring Newly Synthesized Proteins over the Adult Life Span of Caenorhabditis elegans

Little is known regarding how the synthesis and degradation of individual proteins change during the life of an organism. Such knowledge is vital to understanding the aging process. To fill this knowledge gap, we monitored newly synthesized proteins on a proteome scale in Caenorhabditis elegans over time during adulthood using a stable-isotope labeling by amino acids in cell culture (SILAC)-based label-chase approach. For most proteins, the rate of appearance of newly synthesized protein was high during the first 5 days of adulthood, slowed down between the fifth and the 11th days, and then increased again after the 11th day. However, the magnitude of appearance rate differed significantly from protein to protein. For example, the appearance of newly synthesized protein was fast for proteins involved in embryonic development, transcription regulation, and lipid binding/transport, with >70% of these proteins newly synthesized by day 5 of adulthood, whereas it was slow for proteins involved in cellular assembly and motility, such as actin and myosin, with <70% of these proteins newly synthesized even on day 16. The late-life increase of newly synthesized protein was especially high for ribosomal proteins and ATP synthases. We also investigated the effect of RNAi-mediated knockdown of the rpl-9 (ribosomal protein), atp-3 (ATP synthase), and ril-1 (RNAi-induced longevity-1) genes and found that inhibiting the expression of atp-3 and ril-1 beginning in late adulthood is still effective to extend the life span of C. elegans.