Mapping the phosphoproteome of influenza A and B viruses by mass spectrometry.

Protein phosphorylation is a common post-translational modification in eukaryotic cells and has a wide range of functional effects. Here, we used mass spectrometry to search for phosphorylated residues in all the proteins of influenza A and B viruses--to the best of our knowledge, the first time such a comprehensive approach has been applied to a virus. We identified 36 novel phosphorylation sites, as well as confirming 3 previously-identified sites. N-terminal processing and ubiquitination of viral proteins was also detected. Phosphorylation was detected in the polymerase proteins (PB2, PB1 and PA), glycoproteins (HA and NA), nucleoprotein (NP), matrix protein (M1), ion channel (M2), non-structural protein (NS1) and nuclear export protein (NEP). Many of the phosphorylation sites detected were conserved between influenza virus genera, indicating the fundamental importance of phosphorylation for all influenza viruses. Their structural context indicates roles for phosphorylation in regulating viral entry and exit (HA and NA); nuclear localisation (PB2, M1, NP, NS1 and, through NP and NEP, of the viral RNA genome); and protein multimerisation (NS1 dimers, M2 tetramers and NP oligomers). Using reverse genetics we show that for NP of influenza A viruses phosphorylation sites in the N-terminal NLS are important for viral growth, whereas mutating sites in the C-terminus has little or no effect. Mutating phosphorylation sites in the oligomerisation domains of NP inhibits viral growth and in some cases transcription and replication of the viral RNA genome. However, constitutive phosphorylation of these sites is not optimal. Taken together, the conservation, structural context and functional significance of phosphorylation sites implies a key role for phosphorylation in influenza biology. By identifying phosphorylation sites throughout the proteomes of influenza A and B viruses we provide a framework for further study of phosphorylation events in the viral life cycle and suggest a range of potential antiviral targets.

A method for large-scale identification of protein arginine methylation.

The lack of methods for proteome-scale detection of arginine methylation restricts our knowledge of its relevance in physiological and pathological processes. Here we show that most tryptic peptides containing methylated arginine(s) are highly basic and hydrophilic. Consequently, they could be considerably enriched from total cell extracts by simple protocols using either one of strong cation exchange chromatography, isoelectric focusing, or hydrophilic interaction liquid chromatography, the latter being by far the most effective of all. These methods, coupled with heavy methyl-stable isotope labeling by amino acids in cell culture and mass spectrometry, enabled in T cells the identification of 249 arginine methylation sites in 131 proteins, including 190 new sites and 93 proteins not previously known to be arginine methylated. By extending considerably the number of known arginine methylation sites, our data reveal a novel proline-rich consensus motif and identify for the first time arginine methylation in proteins involved in cytoskeleton rearrangement at the immunological synapse and in endosomal trafficking.

Comparative evaluation of label-free SINQ normalized spectral index quantitation in the central proteomics facilities pipeline.

Normalized spectral index quantification was recently presented as an accurate method of label-free quantitation, which improved spectral counting by incorporating the intensities of peptide MS/MS fragment ions into the calculation of protein abundance. We present SINQ, a tool implementing this method within the framework of existing analysis software, our freely available central proteomics facilities pipeline (CPFP). We demonstrate, using data sets of protein standards acquired on a variety of mass spectrometers, that SINQ can rapidly provide useful estimates of the absolute quantity of proteins present in a medium-complexity sample. In addition, relative quantitation of standard proteins spiked into a complex lysate background and run without pre-fractionation produces accurate results at amounts above 1 fmol on column. We compare quantitation performance to various precursor intensity- and identification-based methods, including the normalized spectral abundance factor (NSAF), exponentially modified protein abundance index (emPAI), MaxQuant, and Progenesis LC-MS. We anticipate that the SINQ tool will be a useful asset for core facilities and individual laboratories that wish to produce quantitative MS data, but lack the necessary manpower to routinely support more complicated software workflows. SINQ is freely available to obtain and use as part of the central proteomics facilities pipeline, which is released under an open-source license.

Proteomic-based identification of CD4-interacting proteins in human primary macrophages.

BACKGROUND: Human macrophages (Mφ) express low levels of CD4 glycoprotein, which is constitutively recycled, and 40-50% of its localization is intracellular at steady-state. Although CD4-interacting proteins in lymphoid cells are well characterised, little is known about the CD4 protein interaction-network in human Mφ, which notably lack LCK, a Src family protein tyrosine kinase believed to stabilise CD4 at the surface of T cells. As CD4 is the main cellular receptor used by HIV-1, knowledge of its molecular interactions is important for the understanding of viral infection strategies. METHODOLOGY/PRINCIPAL FINDINGS: We performed large-scale anti-CD4 immunoprecipitations in human primary Mφ followed by high-resolution mass spectrometry analysis to elucidate the protein interaction-network involved in induced CD4 internalization and degradation. Proteomic analysis of CD4 co-immunoisolates in resting Mφ showed CD4 association with a range of proteins found in the cellular cortex, membrane rafts and components of clathrin-adaptor proteins, whereas in induced internalization and degradation CD4 is associated with components of specific signal transduction, transport and the proteasome. CONCLUSIONS/SIGNIFICANCE: This is the first time that the anti-CD4 co-immunoprecipitation sub-proteome has been analysed in human primary Mφ. Our data have identified important Mφ cell surface CD4-interacting proteins, as well as regulatory proteins involved in internalization and degradation. The data give valuable insights into the molecular pathways involved in the regulation of CD4 expression in Mφ and provide candidates/targets for further biochemical studies.

Oligosaccharide relative quantitation using isotope tagging and normal-phase liquid chromatography/mass spectrometry.

The growing interest in the conversion of plant biomass into biofuels has recently highlighted the lack of analytical techniques that are able to profile the fine structures of plant cell-wall polysaccharides. Here we present a new liquid chromatography/electrospray ionisation mass spectrometry (LC/ESI-MS) platform called Oligosaccharide Quantitation using Isotope Tagging (OliQuIT) developed for profiling the oligosaccharides derived from glycosyl hydrolase digestion of polysaccharides. The method is demonstrated using different arabinoxylan-derived oligosaccharide samples, which are reductively aminated with either the light (12C6) or heavy (13C6) form of aniline. The complex oligosaccharide mixtures are analysed by capillary normal-phase (NP)-LC and ESI-MS. Importantly, arabinoxylan oligosaccharide isomers are separated by NP-LC and their relative abundance in different samples can be determined from the intensities of ions labeled with the different isotopes. OliQuIT will be of use in multiple applications, including screening for plant varieties with improved saccharification properties, characterizing glycosyl hydrolase specificities and analysing plant glycosyl transferase mutants.

Mass spectrometry reveals modularity and a complete subunit interaction map of the eukaryotic translation factor eIF3.

The eukaryotic initiation factor 3 (eIF3) plays an important role in translation initiation, acting as a docking site for several eIFs that assemble on the 40S ribosomal subunit. Here, we use mass spectrometry to probe the subunit interactions within the human eIF3 complex. Our results show that the 13-subunit complex can be maintained intact in the gas phase, enabling us to establish unambiguously its stoichiometry and its overall subunit architecture via tandem mass spectrometry and solution disruption experiments. Dissociation takes place as a function of ionic strength to form three stable modules eIF3(c:d:e:l:k), eIF3(f:h:m), and eIF3(a:b:i:g). These modules are linked by interactions between subunits eIF3b:c and eIF3c:h. We confirmed our interaction map with the homologous yeast eIF3 complex that contains the five core subunits found in the human eIF3 and supplemented our data with results from immunoprecipitation. These results, together with the 27 subcomplexes identified with increasing ionic strength, enable us to define a comprehensive interaction map for this 800-kDa species. Our interaction map allows comparison of free eIF3 with that bound to the hepatitis C virus internal ribosome entry site (HCV-IRES) RNA. We also compare our eIF3 interaction map with related complexes, containing evolutionarily conserved protein domains, and reveal the location of subunits containing RNA recognition motifs proximal to the decoding center of the 40S subunit of the ribosome.