Tdrd1 acts as a molecular scaffold for Piwi proteins and piRNA targets in zebrafish.

Piwi proteins function in an RNAi-like pathway that silences transposons. Piwi-associated RNAs, also known as piRNAs, act as a guide to identify Piwi targets. The tudor domain-containing protein Tdrd1 has been linked to this pathway but its function has thus far remained unclear. We show that zebrafish Tdrd1 is required for efficient Piwi-pathway activity and proper nuage formation. Furthermore, we find that Tdrd1 binds both zebrafish Piwi proteins, Ziwi and Zili, and reveals sequence specificity in the interaction between Tdrd1 tudor domains and symmetrically dimethylated arginines (sDMAs) in Zili. Finally, we show that Tdrd1 complexes contain piRNAs and RNA molecules that are longer than piRNAs. We name these longer transcripts Tdrd1-associated transcripts (TATs). TATs likely represent cleaved Piwi pathway targets and may serve as piRNA biogenesis intermediates. Altogether, our data suggest that Tdrd1 acts as a molecular scaffold for Piwi proteins, bound through specific tudor domain-sDMA interactions, piRNAs and piRNA targets.

Profiling of N-acetylated protein termini provides in-depth insights into the N-terminal nature of the proteome.

N-terminal processing of proteins is a process affecting a large part of the eukaryotic proteome. Although N-terminal processing is an essential process, not many large inventories are available, in particular not for human proteins. Here we show that by using dedicated mass spectrometry-based proteomics techniques it is possible to unravel N-terminal processing in a semicomprehensive way. Our multiprotease approach led to the identification of 1391 acetylated human protein N termini in HEK293 cells and revealed that the role of the penultimate position on the cleavage efficiency by the methionine aminopeptidases is essentially conserved from Escherichia coli to human. Sequence analysis and comparisons of amino acid frequencies in the data sets of experimentally derived N-acetylated peptides from Drosophila melanogaster, Saccharomyces cerevisiae, and Halobacterium salinarum showed an exceptionally higher frequency of alanine residues at the penultimate position of human proteins, whereas the penultimate position in S. cerevisiae and H. salinarum is predominantly a serine. Genome-wide comparisons revealed that this effect is not related to protein N-terminal processing but can be traced back to characteristics of the genome.

Worms from venus and mars: proteomics profiling of sexual differences in Caenorhabditis elegans using in vivo 15N isotope labeling.

Hermaphrodites of the nematode Caenorhabditis elegans produce both sperm and oocytes in the same germline. To investigate the process underlying spermatogenesis and oogenesis separately, we used a quantitative proteomics approach applied to two mutant worm lines (fem-3(q20) and fem-1(hc17)) developing only male and female germlines, respectively. We used stable isotopic labeling of whole animals by feeding them either (14)N or (15)N labeled Escherichia coli. This way, we could confidently identify and quantify 1040 proteins in two independent experiments. Of these, approximately 400 proteins showed significant differential expression between female-like and male-like animals. As expected, proteins linked to oogenesis were found to be highly upregulated in the feminized worms, whereas proteins involved in spermatogenesis were found to be highly upregulated in the masculinized worms. This was complemented by many proteins strongly enriched in either mutant. Although the function of the majority of these proteins is unknown, their expression profile indicates that they have an as yet unrecognized role in the development and/or function of the female- and male germline in C. elegans. We show that members of several protein complexes as well as functionally similar proteins show comparable abundance ratios, indicating coregulation of protein expression. Additional analysis comparing our protein data to a previously published microarray data set shows that mRNA and protein expression are poorly correlating. We provide one of the first examples of a large-scale quantitative proteomics experiment in C. elegans and show the potential and feasibility of an approach enabling system-wide accurate quantitative proteomics experiments in this model organism.

Differential Proteomics Identifies Protein Biomarkers That Predict Local Relapse of Head and Neck Squamous Cell Carcinomas.

PURPOSE: The 5-year survival rates of head and neck squamous cell carcinomas (HNSCC) remain disappointing. HNSCCs develop in precursor fields of genetically altered cells that are often not completely resected when the tumor is excised, causing local relapse. These precursor fields are mostly recognized as dysplasia, but histologic grading cannot reliably predict malignant transformation. Our aim was to discover and validate protein biomarkers that can detect precursor fields and predict local relapse in HNSCC using immunostaining of surgical margins. EXPERIMENTAL DESIGN: We compared paired and genetically characterized normal, precursor, and tumor tissues of eight patients by proteome analysis to identify differentially expressed proteins. The prognostic value of candidate protein biomarkers was evaluated by immunohistochemical analysis of 222 surgical margins of 46 HNSCC patients who developed local relapse or remained disease free. Significant associations were determined by Kaplan-Meier survival analysis and Cox-proportional hazards models. RESULTS: Forty proteins showed significant differential expression (false discovery rate-corrected P < 0.05). Most discriminative markers suited for immunostaining were keratin 4 and cornulin. Low expression in the surgical margins of keratin 4 (hazard ratio, 3.8; P = 0.002), cornulin (hazard ratio, 2.7; P = 0.025), and their combination (hazard ratio, 8.8; P = 0.0005) showed a highly significant association with the development of local relapse. Dysplasia grading had no prognostic relevance. CONCLUSIONS: Immunohistochemical assessment of keratin 4 and cornulin expression in surgical margins of HNSCC patients outperforms histopathologic grading in predicting the risk for local relapse. These markers can be used to initiate more frequent and lifelong surveillance of patients at high risk of local relapse, and enable selection for adjuvant treatment or tertiary prevention trials. (Clin Cancer Res 2009;15(24):7666-75).

Orthogonal separation techniques for the characterization of the yeast nuclear proteome.

The presence of the nucleus is the distinguishing feature of eukaryotic cells, separating the genome from the cytoplasm. Key cellular events, including transcription, DNA replication, RNA-processing and ribosome biogenesis all take place in the nucleus. All of these processes can be regulated through controlled and bidirectional translocation of proteins across the nuclear envelope, making the nucleus a highly dynamic organelle. In this study, we present four orthogonal multidimensional separation techniques for the comprehensive characterization of the yeast nuclear proteome. By combining methods on the peptide level (SCX chromatography, isoelectric focusing) and protein level (SDS-PAGE, phosphocellulose chromatography) coupled with mass spectrometry, we identified 1889 proteins from highly purified nuclei, of which 1032 were previously annotated as nuclear proteins. In particular, the most successful setup was the use of phosphocellulose P11 chromatography in combination with SDS-PAGE and reversed phase chromatography. Phosphocellulose P11 chromatography has been classically used for the purification of functional protein complexes involved in transcription regulation. Here, by its coupling with LC-MS, this method resulted in approximately 1.5 times more protein identifications than the other three combined, thereby contributing significantly to the coverage of nuclear proteins. In addition, the use of this technique resulted in the enrichment of DNA binding proteins and proved to be a valuable tool for the simultaneous analysis of multiple protein complexes. The enrichment for specific nuclear complexes has resulted in high protein sequence coverage, which will be particularly useful for the detailed characterization of subunits.

Lys-N and trypsin cover complementary parts of the phosphoproteome in a refined SCX-based approach.

The analysis of proteome-wide phosphorylation events is still a major analytical challenge because of the enormous complexity of protein phosphorylation networks. In this work, we evaluate the complementarity of Lys-N, Lys-C, and trypsin with regard to their ability to contribute to the global analysis of the phosphoproteome. A refined version of low-pH strong cation exchange was used to efficiently separate N-terminally acetylated, phosphorylated, and nonmodified peptides. A total of 5036 nonredundant phosphopeptides could be identified with a false discovery rate of <1% from 1 mg of protein using a combination of the three enzymes. Our data revealed that the overlap between the phosphopeptide data sets generated with different proteases was marginal, whereas the overlap between two similarly generated tryptic data sets was found to be at least 4 times higher. In this way, the parallel use of Lys-N and trypsin enabled a 72% increase in the number of detected phosphopeptides as compared to trypsin alone, whereas a trypsin replicate experiment only led to a 25% increase. Thus, when focusing solely on the trypsin and Lys-N data, we identified 4671 nonredundant phosphopeptides. Further analysis of the detected sites showed that the Lys-N and trypsin data sets were enriched in significantly different phosphorylation motifs, further evidencing that multiprotease approaches are very valuable in phosphoproteome analyses.

A versatile peptide pI calculator for phosphorylated and N-terminal acetylated peptides experimentally tested using peptide isoelectric focusing.

We experimentally demonstrate the use of an in-house developed pI calculator which takes into account peptide PTM such as phosphorylation and N-terminal acetylation. The pI calculator was utilized for a large set of peptides derived from a complex zebrafish lysate fractionated using peptide IEF, whereby a good correlation between the calculated (theoretical) pI and the experimental pI could be established. This pI calculator permits the implementation of optimal pK values depending on the experimental conditions and a reliable calculation of peptide pI which can be utilized as a filtering technique in validating peptide identifications. Our data reveal that the shift due to a phosphorylation or N-terminal acetylation is highly dependent on the presence of acidic or basic residues in the peptide. Furthermore, using this pI calculator, we revealed previously unknown position-specific pKs of asparagine and carbamidomethylated cysteine depending on their location in the peptide. Collectively, this peptide pI calculator is a welcome addition to the versatility and robustness of IEF for the separation and confident identification of (post-translationally modified) peptides.

In-gel isoelectric focusing of peptides as a tool for improved protein identification.

In the analysis of proteins in complex samples, pre-fractionation is imperative to obtain the necessary depth in the number of reliable protein identifications by mass spectrometry. Here we explore isoelectric focusing of peptides (peptide IEF) as an effective fractionation step that at the same time provides the added possibility to eliminate spurious peptide identifications by filtering for pI. Peptide IEF in IPG strips is fast and sharply confines peptides to their pI. We have evaluated systematically the contribution of pI filtering and accurate mass measurements on the total number of protein identifications in a complex protein mixture (Drosophila nuclear extract). At the same time, by varying Mascot identification cutoff scores, we have monitored the false positive rate among these identifications by searching reverse protein databases. From mass spectrometric analyses at low mass accuracy using an LTQ ion trap, false positive rates can be minimized by filtering of peptides not focusing at their expected pI. Analyses using an LTQ-FT mass spectrometer delivers low false positive rates by itself due to the high mass accuracy. In a direct comparison of peptide IEF with SDS-PAGE as a pre-fractionation step, IEF delivered 25% and 43% more proteins when identified using FT-MS and LTQ-MS, respectively. Cumulatively, 2190 non redundant proteins were identified in the Drosophila nuclear extract at a false positive rate of 0.5%. Of these, 1751 proteins (80%) were identified after peptide IEF and FT-MS alone. Overall, we show that peptide IEF allows to increase the confidence level of protein identifications, and is more sensitive than SDS-PAGE.