Cross-linking/mass spectrometry as a new field and the proteomics information mountain of tomorrow

The European Proteomics Association (EuPA) 2012 Scientific Congress 'New Horizons and Applications for Proteomics', hosted by the British Society for Proteome Research (BSPR) Glasgow, Scotland, UK, 12 July 2012 Cross-linking/mass spectrometry ended decades of method developments and entered the era of applications at this year's European Proteomics Association meeting. The train has started moving, with successful applications of this tool by multiple pioneering laboratories addressing biological and structural problems. Proteomics, on the other side, sees ever increasing data volumes, leading to questions as to how to store the data mountain publically, use it and convert it into testable hypotheses. The European Proteomics Association meeting has been complementary to the American Society for Mass Spectrometry meeting in many ways, also thanks to its more manageable size and the vision of the organizers in inviting some of Europe's best emerging minds

Nop9 is an RNA binding protein present in pre-40S ribosomes and required for 18S rRNA synthesis in yeast

Proteomic analyses in yeast have identified a large number of proteins that are associated with preribosomal particles. However, the product of the yeast ORF YJL010C, herein designated as Nop9, failed to be identified in any previous physical or genetic analysis of preribosomes. Here we report that Nop9 is a nucleolar protein, which is associated with 90S and 40S preribosomes. In cells depleted of Nop9p, early cleavages of the 35S pre-rRNA are inhibited, resulting in the nucleolar retention of accumulated precursors and a failure to synthesize 18S rRNA. Nop9 contains multiple pumilio-like putative RNA binding repeats and displays robust in vitro RNA binding activity. The identification of Nop9p as a novel, essential factor in the nuclear maturation of 90S and pre-40S ribosomal subunits shows that the complement of ribosome synthesis factors remains incomplete

Peptide Retention in Hydrophilic Strong Anion Exchange Chromatography Is Driven by Charged and Aromatic Residues

Hydrophilic strong anion exchange chromatography (hSAX) is becoming a popular method for the prefractionation of proteomic samples. However, the use and further development of this approach is affected by the limited understanding of its retention mechanism and the absence of elution time prediction. Using a set of 59 297 confidentially identified peptides, we performed an explorative analysis and built a predictive deep learning model. As expected, charged residues are the major contributors to the retention time through electrostatic interactions. Aspartic acid and glutamic acid have a strong retaining effect and lysine and arginine have a strong repulsion effect. In addition, we also find the involvement of aromatic amino acids. This suggests a substantial contribution of cation−π interactions to the retention mechanism. The deep learning approach was validated using 5-fold cross-validation (CV) yielding a mean prediction accuracy of 70% during CV and 68% on a hold-out validation set. The results of this study emphasize that not only electrostatic interactions but rather diverse types of interactions must be integrated to build a reliable hSAX retention time predictor

The Peptide MS/MS-Fragmentome: A Set of Predictable Fragment Ions with Highly Redundant Sequence Information

Upon low energy collision induced dissociation (CID), multiply protonated peptides generate a set of interdependent fragment ions detectable by MS/MS, the \u27[peptide]n+-fragmentome\u27. In particular dynamic fragmentation of [peptide]n+ ions in a collision cell generates information-rich MS/MS spectra. Currently, database-supported annotations of peptide MS/MS spectra are mainly based on a combination of peptide molecular weight and y type fragment ions, leaving a considerable number of good-quality peptide MS/MS spectra in proteomics studies unannotated. This situation may be improved by a more complete use of the structural information present in the [peptide]n+-fragmentome. The presentation provides an overview on the fragment ions of multiply protonated peptides and their connectivity, comprising a ions, b ions, y ions, and neutral loss reactions from the N-, and C-terminus, and internal b ions. In the low-mass region, the unique set of 19 y1 ions and of the 190 b2 ions carries a particular message, since these ions define the N-or C-terminal amino acid(s). Further, the b1 ions of the basic residues K, H, W, and R carry a specific N-terminal information, which is redundant to that contained in the corresponding b2 ions and in the N-terminal neutral loss peaks. Redundant information is also found in b and y ion series and in complementary b/y ion pairs. The latter are particularly abundant when generated by proline- or aspartate-induced backbone cleavages. From complementary b/y ion pairs the molecular weight of the precursor ion can be reconstructed to confirm or determine its molecular weight. This procedure is helpful in case a mixture of precursor ions is isolated or in case a precursor ion of very low abundance is isolated. Information about the precursor ion charge state is also delivered by precursor ion reconstruction using MS/MS data. In the analysis of covalently modified peptides, reporter ions are of particular importance. These ions can be used for mining of MS/MS data sets for the occurrence of selected modifications. Examples are presented for selected modifications, such as acetylation and phosphorylation. In phosphorylation analysis neutral loss reactions are highly important, and may also carry redundant information, when observed both from the molecular ion and from fragment ions. Search tools, which fully incorporate the current knowledge about the [peptide]n+-fragmentome will increase the scores of peptide/protein identifications by MS/MS and thus will increase the fraction of automatically assigned MS/MS spectra in proteomics studies

The mitosis and neurodevelopment proteins NDE1 and NDEL1 form dimers, tetramers and polymers with a folded-back structure in solution

Paralogs NDE1 (nuclear distribution element 1) and NDEL1 (NDE-like 1) are essential for mitosis and neurodevelopment. Both proteins are predicted to have similar structures, based upon high sequence similarity, and they co-complex in mammalian cells. X-ray diffraction studies and homology modeling suggest that their N-terminal regions (residues 8–167) adopt continuous, extended α-helical coiled-coil structures, but no experimentally derived information on the structure of their C-terminal regions or the architecture of the full-length proteins is available. In the case of NDE1, no biophysical data exists. Here we characterize the structural architecture of both full-length proteins utilizing negative stain electron microscopy along with our established paradigm of chemical cross-linking followed by tryptic digestion, mass spectrometry, and database searching, which we enhance using isotope labeling for mixed NDE1-NDEL1. We determined that full-length NDE1 forms needle-like dimers and tetramers in solution, similar to crystal structures of NDEL1, as well as chain-like end-to-end polymers. The C-terminal domain of each protein, required for interaction with key protein partners dynein and DISC1 (disrupted-in-schizophrenia 1), includes a predicted disordered region that allows a bent back structure. This facilitates interaction of the C-terminal region with the N-terminal coiled-coil domain and is in agreement with previous results showing N- and C-terminal regions of NDEL1 and NDE1 cooperating in dynein interaction. It sheds light on recently identified mutations in the NDE1 gene that cause truncation of the encoded protein. Additionally, analysis of mixed NDE1-NDEL1 complexes demonstrates that NDE1 and NDEL1 can interact directly

Evaluation of mTOR-regulated mRNA translation.

mTOR, the mammalian target of rapamycin, regulates protein synthesis (mRNA translation) by affecting the phosphorylation or activity of several translation factors. Here, we describe methods for studying the impact of mTOR signalling on protein synthesis, using inhibitors of mTOR such as rapamycin (which impairs some of its functions) or mTOR kinase inhibitors (which probably block all functions).To assess effects of mTOR inhibition on general protein synthesis in cells, the incorporation of radiolabelled amino acids into protein is measured. This does not yield information on the effects of mTOR on the synthesis of specific proteins. To do this, two methods are described. In one, stable-isotope labelled amino acids are used, and their incorporation into new proteins is determined using mass spectrometric methods. The proportions of labelled vs. unlabeled versions of each peptide from a given protein provide quantitative information about the rate of that protein's synthesis under different conditions. Actively translated mRNAs are associated with ribosomes in polyribosomes (polysomes); thus, examining which mRNAs are found in polysomes under different conditions provides information on the translation of specific mRNAs under different conditions. A method for the separation of polysomes from non-polysomal mRNAs is describe

Proteomics of a fuzzy organelle: interphase chromatin

Chromatin proteins mediate replication, regulate expression and ensure integrity of the genome. So far, a comprehensive inventory of interphase chromatin has not been determined. This is largely due to its heterogeneous and dynamic composition, which makes conclusive biochemical purification difficult, if not impossible. As a fuzzy organelle it defies classical organellar proteomics and cannot be described by a single and ultimate list of protein components. Instead we propose a new approach that provides a quantitative assessment of a protein’s probability to function in chromatin. We integrate chromatin composition over a range of different biochemical and biological conditions. This resulted in interphase chromatin probabilities for 7635 human proteins, including 1840 previously uncharacterized proteins. We demonstrate the power of our large-scale data-driven annotation during the analysis of CDK regulation in chromatin. Quantitative protein ontologies may provide a general alternative to list-based investigations of organelles and complement Gene Ontology

JAMI: a Java library for molecular interactions and data interoperability.

BACKGROUND: A number of different molecular interactions data download formats now exist, designed to allow access to these valuable data by diverse user groups. These formats include the PSI-XML and MITAB standard interchange formats developed by Molecular Interaction workgroup of the HUPO-PSI in addition to other, use-specific downloads produced by other resources. The onus is currently on the user to ensure that a piece of software is capable of read/writing all necessary versions of each format. This problem may increase, as data providers strive to meet ever more sophisticated user demands and data types. RESULTS: A collaboration between EMBL-EBI and the University of Cambridge has produced JAMI, a single library to unify standard molecular interaction data formats such as PSI-MI XML and PSI-MITAB. The JAMI free, open-source library enables the development of molecular interaction computational tools and pipelines without the need to produce different versions of software to read different versions of the data formats. CONCLUSION: Software and tools developed on top of the JAMI framework are able to integrate and support both PSI-MI XML and PSI-MITAB. The use of JAMI avoids the requirement to chain conversions between formats in order to reach a desired output format and prevents code and unit test duplication as the code becomes more modular. JAMI's model interfaces are abstracted from the underlying format, hiding the complexity and requirements of each data format from developers using JAMI as a library

Tissue-specific control of brain-enriched miR-7 biogenesis

MicroRNA (miRNA) biogenesis is a highly regulated process in eukaryotic cells. Several mature miRNAs exhibit a tissue-specific pattern of expression without an apparent tissue-specific pattern for their corresponding primary transcripts. This discrepancy is suggestive of post-transcriptional regulation of miRNA abundance. Here, we demonstrate that the brain-enriched expression of miR-7, which is processed from the ubiquitous hnRNP K pre-mRNA transcript, is achieved by inhibition of its biogenesis in nonbrain cells in both human and mouse systems. Using stable isotope labeling by amino acids in cell culture (SILAC) mass spectrometry combined with RNase-assisted RNA pull-down, we identified Musashi homolog 2 (MSI2) and Hu antigen R (HuR) proteins as inhibitors of miR-7 processing in nonneural cells. This is achieved through HuR-mediated binding of MSI2 to the conserved terminal loop of pri-miR-7. Footprinting and electrophoretic gel mobility shift analysis (EMSA) provide further evidence for a direct interaction between pri-miR-7-1 and the HuR/MSI2 complex, resulting in stabilization of the pri-miR-7-1 structure. We also confirmed the physiological relevance of this inhibitory mechanism in a neuronal differentiation system using human SH-SY5Y cells. Finally, we show elevated levels of miR-7 in selected tissues from MSI2 knockout (KO) mice without apparent changes in the abundance of the pri-miR-7 transcript. Altogether, our data provide the first insight into the regulation of brain-enriched miRNA processing by defined tissue-specific factors