Escherichia coli Ribosomal Protein S1 Unfolds Structured mRNAs Onto the Ribosome for Active Translation Initiation

Regulation of translation initiation is well appropriate to adapt cell growth in response to stress and environmental changes. Many bacterial mRNAs adopt structures in their 5′ untranslated regions that modulate the accessibility of the 30S ribosomal subunit. Structured mRNAs interact with the 30S in a two-step process where the docking of a folded mRNA precedes an accommodation step. Here, we used a combination of experimental approaches in vitro (kinetic of mRNA unfolding and binding experiments to analyze mRNA–protein or mRNA–ribosome complexes, toeprinting assays to follow the formation of ribosomal initiation complexes) and in vivo (genetic) to monitor the action of ribosomal protein S1 on the initiation of structured and regulated mRNAs. We demonstrate that r-protein S1 endows the 30S with an RNA chaperone activity that is essential for the docking and the unfolding of structured mRNAs, and for the correct positioning of the initiation codon inside the decoding channel. The first three OB-fold domains of S1 retain all its activities (mRNA and 30S binding, RNA melting activity) on the 30S subunit. S1 is not required for all mRNAs and acts differently on mRNAs according to the signals present at their 5′ ends. This work shows that S1 confers to the ribosome dynamic properties to initiate translation of a large set of mRNAs with diverse structural features.     

Interplay of the Bacterial Ribosomal A-Site,S12 Protein Mutations and Paromomycin Binding: A Molecular Dynamics Study

The conformational properties of the aminoacyl-tRNA binding site (A-site), and its surroundings in the Escherichia coli 30S ribosomal subunit, are of great relevance in designing antibacterial agents. The 30S subunit A-site is near ribosomal protein S12, which neighbors helices h27 and H69; this latter helix, of the 50S subunit, is a functionally important component of an intersubunit bridge. Experimental work has shown that specific point mutations in S12 (K42A, R53A) yield hyper-accurate ribosomes, which in turn confers resistance to the antibiotic ‘paromomycin’ (even when this aminoglycoside is bound to the A-site). Suspecting that these effects can be elucidated in terms of the local atomic interactions and detailed dynamics of this region of the bacterial ribosome, we have used molecular dynamics simulations to explore the motion of a fragment of the E. coli ribosome, including the A-site. We found that the ribosomal regions surrounding the A-site modify the conformational space of the flexible A-site adenines 1492/93. Specifically, we found that A-site mobility is affected by stacking interactions between adenines A1493 and A1913, and by contacts between A1492 and a flexible side-chain (K43) from the S12 protein. In addition, our simulations reveal possible indirect pathways by which the R53A and K42A mutations in S12 are coupled to the dynamical properties of the A-site. Our work extends what is known about the atomistic dynamics of the A-site, and suggests possible links between the biological effects of hyper-accurate mutations in the S12 protein and conformational properties of the ribosome; the implications for S12 dynamics help elucidate how the miscoding effects of paromomycin may be evaded in antibiotic-resistant mutants of the bacterial ribosome.     

Functional Interaction between Ribosomal Protein L6 and RbgA during Ribosome Assembly

RbgA is an essential GTPase that participates in the assembly of the large ribosomal subunit in Bacillus subtilis and its homologs are implicated in mitochondrial and eukaryotic large subunit assembly. How RbgA functions in this process is still poorly understood. To gain insight into the function of RbgA we isolated suppressor mutations that partially restored the growth of an RbgA mutation (RbgA-F6A) that caused a severe growth defect. Analysis of these suppressors identified mutations in rplF, encoding ribosomal protein L6. The suppressor strains all accumulated a novel ribosome intermediate that migrates at 44S in sucrose gradients. All of the mutations cluster in a region of L6 that is in close contact with helix 97 of the 23S rRNA. In vitro maturation assays indicate that the L6 substitutions allow the defective RbgA-F6A protein to function more effectively in ribosome maturation. Our results suggest that RbgA functions to properly position L6 on the ribosome, prior to the incorporation of L16 and other late assembly proteins.     

Unravelling Glucan Recognition Systems by Glycome Microarrays Using the Designer Approach and Mass Spectrometry

Glucans are polymers of d-glucose with differing linkages in linear or branched sequences. They are constituents of microbial and plant cell-walls and involved in important bio-recognition processes, including immunomodulation, anticancer activities, pathogen virulence, and plant cell-wall biodegradation. Translational possibilities for these activities in medicine and biotechnology are considerable. High-throughput micro-methods are needed to screen proteins for recognition of specific glucan sequences as a lead to structure–function studies and their exploitation. We describe construction of a “glucome” microarray, the first sequence-defined glycome-scale microarray, using a “designer” approach from targeted ligand-bearing glucans in conjunction with a novel high-sensitivity mass spectrometric sequencing method, as a screening tool to assign glucan recognition motifs. The glucome microarray comprises 153 oligosaccharide probes with high purity, representing major sequences in glucans. Negative-ion electrospray tandem mass spectrometry with collision-induced dissociation was used for complete linkage analysis of gluco-oligosaccharides in linear “homo” and “hetero” and branched sequences. The system is validated using antibodies and carbohydrate-binding modules known to target α- or β-glucans in different biological contexts, extending knowledge on their specificities, and applied to reveal new information on glucan recognition by two signaling molecules of the immune system against pathogens: Dectin-1 and DC-SIGN. The sequencing of the glucan oligosaccharides by the MS method and their interrogation on the microarrays provides detailed information on linkage, sequence and chain length requirements of glucan-recognizing proteins, and are a sensitive means of revealing unsuspected sequences in the polysaccharides.Glucan polysaccharides are polymers of d-glucose with differing linkages in linear or branched sequences. They occur as storage materials in animals, secreted virulence factors of bacteria, and conserved structural components of cell walls of yeasts, fungi, some bacteria, and plants. Polysaccharides of this type are of considerable interest in biology, medicine, and biotechnology and are acknowledged for their immunostimulatory, anticancer, and health-promoting activities (1, 2); for their elicitor activities in defense responses and signaling in plants (3); and for acting as functional ingredients in human nutrition (4). Unraveling recognition systems that mediate these activities is highly desirable as a lead to effective translational applications.Recognition systems involving glucan polysaccharides include those in mammals, such as recognition of fungal β-glucans by Dectin-1, the major receptor of the innate immune system against fungal pathogens (5), and by natural or vaccine-induced protective antifungal antibodies (6, 7); also recognition of mycobacterial α-glucan by the innate immune receptor DC-SIGN (dendritic cell-specific ICAM-3-grabbing nonintegrin) (8); those in insects, such as the Drosophila Gram-negative binding protein 3 (GNBP3) sensor protein, which binds β-glucans (9); and those in bacteria, such as Brucella abortus, where cyclic β-glucans can serve as virulence factors (10).Another important class of glucan-recognizing proteins comprises noncatalytic carbohydrate-binding modules (CBMs)¹ of bacterial glycoside hydrolases that mediate association with substrate and increase catalytic activity, likely through a targeting mechanism or by driving enzyme specificity (11, 12). Notable examples are CBMs of bacterial cellulolytic enzymes that promote enzymatic deconstruction of intact plant cell walls and that are of industrial significance in the biofuel and bioprocessing sectors (13, 14) and CBMs of rumen or commensal human microbiota with roles in animal and human health (14, 15). CBMs also have roles in other systems: for example, CBM-containing enzymes as virulence factors of bacterial pathogens (16) and CBM-containing human laforin that regulates glycogen metabolism and for which mutations can lead to neurodegenerative disease (17). The number of putative glucan-binding CBMs that have been identified and classified in the Carbohydrate-Active enZyme (CAZy) database (http://www.cazy.org) is expanding, but relatively few have been experimentally investigated for details of carbohydrate binding and fine specificity (11).Searching for and assigning the specificities of glucan-recognizing proteins has thus become increasingly important. It is desirable to have high-throughput and sensitive micro-methods to screen for and characterize ligands for structure–function studies toward effective exploitation in modern therapeutic, nutritional, agricultural, and biofuel-related technologies. Carbohydrate microarrays have served to advance knowledge on specificities of diverse carbohydrate-recognition systems (18–22). Where the desired oligosaccharide probes are unavailable, microarrays need to be generated from ligand-bearing glycomes (23). Using a prototype of such designer microarrays of neoglycolipid (NGL)-probes (23) derived from oligosaccharide fragments of glucans rich in β1,3- or β1,6-linked sequences, we showed that linear β1,3-linked glucose sequences with degree of polymerization (DP) 10 or longer are bound by Dectin-1 (24). Recognition of other types of glucan sequences by Dectin-1 and the applicability of microarrays of diverse gluco-oligosaccharide sequences to other glucan-recognizing proteins required investigation. Cummings, Smith, and colleagues have developed the shotgun strategy (20) to create glycome-scale “gangliome” and “human milk glycome” microarrays. In the shotgun microarrays, the printed probes may not be sequence-defined before array construction and require metadata-assisted glycan sequencing (MAGS), which combines MS analysis (25), binding data with glycan-binding proteins or antibodies, and exoglycosidase treatment after printing (26, 27).Mass spectrometry has become a primary technique in carbohydrate structural analysis (28), and electrospray mass spectrometry (ESI-MS) has been used to provide sequence and partial linkage information on various types of oligosaccharides (29–33). For neutral oligosaccharides, we have found that tandem MS with collision-induced dissociation (CID-MS/MS) in the negative-ion mode is particularly useful and have successfully applied for oligosaccharide chain and blood-group typing (34, 35) and for branching pattern analysis (36).This is because that some important linkages at certain monosaccharide residues can be unambiguously determined with high sensitivity without the need for derivatization and anion complexation as previously recognized, e.g. in the area of gluco-oligosaccharides, Cl⁻-anion adduction has been used to determine sequences of tetrasaccharides of dextran (37).Here, we describe a strategy using the designer approach combined with negative-ion ESI-CID-MS/MS for constructing a microarray of sequence-defined gluco-oligosaccharides representing major sequences in glucans (glucome microarray) as a tool for screening glucan-recognizing proteins and assigning their recognition motifs (Fig. 1). We selected a comprehensive panel of glucan polysaccharides isolated from plants, fungi, and bacteria with different sequences to represent the glucome. We used finely tuned chemical and enzymatic methods to partially depolymerize the polysaccharides and prepare gluco-oligosaccharide fragments with different chain lengths (up to DP-13 or DP-16). We developed a ESI-CID-MS/MS method that enables linkage and sequence determination of linear or branched gluco-oligosaccharides at high-sensitivity and applied this to the sequencing of oligosaccharide fragments prepared. These sequence-defined gluco-oligosaccharides were then converted into NGL probes and used for construction of the microarray. The oligosaccharides encompassed linear sequences with homo (single) linkages: 1,2-, 1,3-, 1,4-, or 1,6- with α or β configurations; and hetero (multiple) linkages: 1,3-, 1,4, or 1,6-; also branched oligosaccharide sequences with 1,3 and 1,6-linkages.Open in a separate windowFig. 1.Neoglycolipid (NGL)-based designer glucome microarray with mass spectrometry as a tool to assign carbohydrate ligands in glucan recognition. Ligand-bearing glucan polysaccharides, described in supplemental Fig. S1 and Table S1, were selected as sources of gluco-oligosaccharides for construction of the microarray. A total of 121 gluco-oligosaccharide fractions were obtained with different DP after partial depolymerization of polysaccharides and fractionation. ESI-CID-MS/MS method was developed using gluco-oligosaccharides with known sequences and applied to determination of sequences of oligosaccharide fragments from polysaccharides. Gluco-oligosaccharides were converted to NGL probes for microarray construction and interrogation with the glucan-recognizing proteins described in supplemental Table S2.To our knowledge, this is the first sequence-defined glycome-scale microarray constructed. We used 12 selected proteins (antibodies and CBMs) known to target α- or β-glucans to validate the approach. We then applied the microarray analysis to Dectin-1 and DC-SIGN, which revealed new insights into the specificities of these signaling molecules of the innate immune system.     

球毛壳菌60S核糖体蛋白L10a基因克隆与特性分析

用粗糙脉孢菌（Neurospora crassa）XP_322380和赤霉菌（Gibberella zeag）PH-1（EAA76971）的60S核糖体蛋白L10a基因（60S ribosomal protein L10a,RPL10a）蛋白序列对球毛壳菌（Chaetomium globosum）ESTs序列数据库进行tBlastn检索,获得了球毛壳菌RPL10a cDNA序列。cDNA序列长765bp,开放阅读框654bp,编码217个氨基酸组成的多肽,蛋白分了量为23．9kD。BlastP分析表明该基因氨基酸序列与粗糙脉胞菌相似最高为89％;与玉蜀黍黑粉菌（Ustilago maydis）相似性最低为78％。cDNA序列及推测的氨基酸序列在GenBank登录（登录号分别为AY669070,AAT74578）。     

TORC1 Promotes Phosphorylation of Ribosomal Protein S6 via the AGC Kinase Ypk3 in Saccharomyces cerevisiae

The target of rapamycin complex 1 (TORC1) is an evolutionarily conserved sensor of nutrient availability. Genetic and pharmacological studies in the yeast Saccharomyces cerevisiae have provided mechanistic insights on the regulation of TORC1 signaling in response to nutrients. Using a highly specific antibody that recognizes phosphorylation of the bona fide TORC1 target ribosomal protein S6 (Rps6) in yeast, we found that nutrients rapidly induce Rps6 phosphorylation in a TORC1-dependent manner. Moreover, we demonstrate that Ypk3, an AGC kinase which exhibits high homology to human S6 kinase (S6K), is required for the phosphorylation of Rps6 in vivo. Rps6 phosphorylation is completely abolished in cells lacking Ypk3 (ypk3Δ), whereas Sch9, previously reported to be the yeast ortholog of S6K, is dispensable for Rps6 phosphorylation. Phosphorylation-deficient mutations in regulatory motifs of Ypk3 abrogate Rps6 phosphorylation, and complementation of ypk3Δ cells with human S6 kinase restores Rps6 phosphorylation in a rapamycin-sensitive manner. Our findings demonstrate that Ypk3 is a critical component of the TORC1 pathway and that the use of a phospho-S6 specific antibody offers a valuable tool to identify new nutrient-dependent and rapamycin-sensitive targets in vivo.     

A Rat Brain Bicistronic Gene with an Internal Ribosome Entry Site Codes for a Phencyclidine-binding Protein with Cytotoxic Activity

The cloning and characterization of the gene for the fourth subunit of a glutamate-binding protein complex in rat brain synaptic membranes are described. The cloned rat brain cDNA contained two open reading frames (ORFs) encoding 8.9- (PRO1) and 9.5-kDa (PRO2) proteins. The cDNA sequence matched contiguous genomic DNA sequences in rat chromosome 17. Both ORFs were expressed within the structure of a single brain mRNA and antibodies against unique sequences in PRO1- and PRO2-labeled brain neurons in situ, indicative of bicistronic gene expression. Dicistronic vectors in which ORF1 and ORF2 were substituted by either two different fluorescent proteins or two luciferases indicated concurrent, yet independent translation of the two ORFs. Transfection with noncapped mRNA led to cap-independent translation of only ORF2 through an internal ribosome entry sequence preceding ORF2. In vitro or cell expression of the cloned cDNA led to the formation of multimeric protein complexes containing both PRO1 and PRO2. These complexes had low affinity (+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine (MK-801)-sensitive phencyclidine-binding sites. Overexpression of PRO1 and PRO2 in CHO cells, but not neuroblastoma cells, caused cell death within 24–48 h. The cytotoxicity was blocked by concurrent treatment with MK-801 or by two tetrahydroisoquinolines that bind to phencyclidine sites in neuronal membranes. Co-expression of two of the other subunits of the protein complex together with PRO1/PRO2 abrogated the cytotoxic effect without altering PRO1/PRO2 protein levels. Thus, this rare mammalian bicistronic gene coded for two tightly interacting brain proteins forming a low affinity phencyclidine-binding entity in a synaptic membrane complex.A complex of four proteins purified from brain synaptic membranes was shown to have recognition sites for l-glutamate, N-methyl-d-aspartate (NMDA),⁴ and other ligands characteristic of NMDA receptors in brain, including binding sites for the co-agonist glycine, the modulator spermine, the competitive antagonist (+)-3-(2-carboxypiperazin-4-yl)-propyl-1-phosphonic acid (CPP), and the ion channel inhibitors thienylcyclohexylpiperidine (TCP) and (+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine (MK-801) (1, 2). Reconstitution of the purified complex into planar lipid bilayer membranes leads to the formation of channels with four ion conductance levels upon activation by glutamate or NMDA in the presence of glycine (3). These conductances differ from either the predominant NMDA-activated receptor-ion channels of brain neurons or those formed by reconstitution of the NMDA receptor subunits (4), but are similar to those described for ion channels in rat spinal cord motor neurons (5).The genes for three of the proteins in this complex have been cloned and expressed in heterologous cells (6–10). The gene GRINA for the glutamate-binding protein (GBP) subunit was identified as part of a “learning and memory” module of genes expressed in the entorhinal cortex of the mammalian brain (11), and as the gene responsible for mental retardation and epilepsy in infants with a gene duplication in chromosome 8q24.3 (12). Expression of GRINA in heterologous cells leads to activation of mitogen-activated protein kinases (13), i.e. it may be involved in signal transduction in neurons. Because of the potential role of GBP and of the associated membrane complex in cell signaling, there is a need to fully characterize all components of the complex and reconstitute the intact complex in cells lacking in its expression. The genes for two other components of the complex have been cloned, those for the glycine-binding and CPP-binding proteins. But the gene for the fourth subunit has not yet been cloned.The fourth protein of the complex was identified on SDS-PAGE as an ∼40-kDa protein. To complete the characterization of this complex of proteins, the cDNA for the fourth subunit was cloned, and a corresponding genomic sequence in rat genome was identified. The presence of two open reading frames (ORFs) in the cloned cDNA, the expression of both ORFs in a single mRNA in brain, and the translation in brain of the two proteins coded by the cDNA, led to the investigation of the mechanism of translation of both ORFs. Translation of both ORFs through an internal ribosome entry sequence (IRES) was identified, as was the need for the co-expression of the two proteins to create a functional protein, a phencyclidine-binding protein.     

DeMix Workflow for Efficient Identification of Cofragmented Peptides in High Resolution Data-dependent Tandem Mass Spectrometry

Based on conventional data-dependent acquisition strategy of shotgun proteomics, we present a new workflow DeMix, which significantly increases the efficiency of peptide identification for in-depth shotgun analysis of complex proteomes. Capitalizing on the high resolution and mass accuracy of Orbitrap-based tandem mass spectrometry, we developed a simple deconvolution method of “cloning” chimeric tandem spectra for cofragmented peptides. Additional to a database search, a simple rescoring scheme utilizes mass accuracy and converts the unwanted cofragmenting events into a surprising advantage of multiplexing. With the combination of cloning and rescoring, we obtained on average nine peptide-spectrum matches per second on a Q-Exactive workbench, whereas the actual MS/MS acquisition rate was close to seven spectra per second. This efficiency boost to 1.24 identified peptides per MS/MS spectrum enabled analysis of over 5000 human proteins in single-dimensional LC-MS/MS shotgun experiments with an only two-hour gradient. These findings suggest a change in the dominant “one MS/MS spectrum - one peptide” paradigm for data acquisition and analysis in shotgun data-dependent proteomics. DeMix also demonstrated higher robustness than conventional approaches in terms of lower variation among the results of consecutive LC-MS/MS runs.Shotgun proteomics analysis based on a combination of high performance liquid chromatography and tandem mass spectrometry (MS/MS) (1) has achieved remarkable speed and efficiency (2–7). In a single four-hour long high performance liquid chromatography-MS/MS run, over 40,000 peptides and 5000 proteins can be identified using a high-resolution Orbitrap mass spectrometer with data-dependent acquisition (DDA)¹ (2, 3). However, in a typical LC-MS analysis of unfractionated human cell lysate, over 100,000 individual peptide isotopic patterns can be detected (4), which corresponds to simultaneous elution of hundreds of peptides. With this complexity, a mass spectrometer needs to achieve ≥25 Hz MS/MS acquisition rate to fully sample all the detectable peptides, and ≥17 Hz to cover reasonably abundant ones (4). Although this acquisition rate is reachable by modern time-of-flight (TOF) instruments, the reported DDA identification results do not encompass all expected peptides. Recently, the next-generation Orbitrap instrument, working at 20 Hz MS/MS acquisition rate, demonstrated nearly full profiling of yeast proteome using an 80 min gradient, which opened the way for comprehensive analysis of human proteome in a time efficient manner (5).During the high performance liquid chromatography-MS/MS DDA analysis of complex samples, high density of co-eluting peptides results in a high probability for two or more peptides to overlap within an MS/MS isolation window. With the commonly used ±1.0–2.0 Th isolation windows, most MS/MS spectra are chimeric (4, 8–10), with cofragmenting precursors being naturally multiplexed. However, as has been discussed previously (9, 10), the cofragmentation events are currently ignored in most of the conventional analysis workflows. According to the prevailing assumption of “one MS/MS spectrum–one peptide,” chimeric MS/MS spectra are generally unwelcome in DDA, because the product ions from different precursors may interfere with the assignment of MS/MS fragment identities, increasing the rate of false discoveries in database search (8, 9). In some studies, the precursor isolation width was set as narrow as ±0.35 Th to prevent unwanted ions from being coselected, fragmented or detected (4, 5).On the contrary, multiplexing by cofragmentation is considered to be one of the solid advantages in data-independent acquisition (DIA) (10–13). In several commonly used DIA methods, the precursor ion selection windows are set much wider than in DDA: from 25 Th as in SWATH (12), to extremely broad range as in AIF (13). In order to use the benefit of MS/MS multiplexing in DDA, several approaches have been proposed to deconvolute chimeric MS/MS spectra. In “alternative peptide identification” method implemented in Percolator (14), a machine learning algorithm reranks and rescores peptide-spectrum matches (PSMs) obtained from one or more MS/MS search engines. But the deconvolution in Percolator is limited to cofragmented peptides with masses differing from the target peptide by the tolerance of the database search, which can be as narrow as a few ppm. The “active demultiplexing” method proposed by Ledvina et al. (15) actively separates MS/MS data from several precursors using masses of complementary fragments. However, higher-energy collisional dissociation often produces MS/MS spectra with too few complementary pairs for reliable peptide identification. The “MixDB” method introduces a sophisticated new search engine, also with a machine learning algorithm (9). And the “second peptide identification” method implemented in Andromeda/MaxQuant workflow (16) submits the same dataset to the search engine several times based on the list of chromatographic peptide features, subtracting assigned MS/MS peaks after each identification round. This approach is similar to the ProbIDTree search engine that also performed iterative identification while removing assigned peaks after each round of identification (17).One important factor for spectral deconvolution that has not been fully utilized in most conventional workflows is the excellent mass accuracy achievable with modern high-resolution mass spectrometry (18). An Orbitrap Fourier-transform mass spectrometer can provide mass accuracy in the range of hundreds of ppb (parts per billion) for mass peaks with high signal-to-noise (S/N) ratio (19). However, the mass error of peaks with lower S/N ratios can be significantly higher and exceed 1 ppm. Despite this dependence of the mass accuracy from the S/N level, most MS and MS/MS search engines only allow users to set hard cut-off values for the mass error tolerances. Moreover, some search engines do not provide the option of choosing a relative error tolerance for MS/MS fragments. Such negligent treatment of mass accuracy reduces the analytical power of high accuracy experiments (18).Identification results coming from different MS/MS search engines are sometimes not consistent because of different statistical assumptions used in scoring PSMs. Introduction of tools integrating the results of different search engines (14, 20, 21) makes the data interpretation even more complex and opaque for the user. The opposite trend—simplification of MS/MS data interpretation—is therefore a welcome development. For example, an extremely straightforward algorithm recently proposed by Wenger et al. (22) demonstrated a surprisingly high performance in peptide identification, even though it is only marginally more complex than simply counting the number of matches of theoretical fragment peaks in high resolution MS/MS, without any a priori statistical assumption.In order to take advantage of natural multiplexing of MS/MS spectra in DDA, as well as properly utilize high accuracy of Orbitrap-based mass spectrometry, we developed a simple and robust data analysis workflow DeMix. It is presented in Fig. 1 as an expansion of the conventional workflow. Principles of some of the processes used by the workflow are borrowed from other approaches, including the custom-made mass peak centroiding (20), chromatographic feature detection (19, 20), and two-pass database search with the first limited pass to provide a “software lock mass” for mass scale recalibration (23).Open in a separate windowFig. 1.An overview of the DeMix workflow that expands the conventional workflow, shown by the dashed line. Processes are colored in purple for TOPP, red for search engine (Morpheus/Mascot/MS-GF+), and blue for in-house programs.In DeMix workflow, the deconvolution of chimeric MS/MS spectra consists of simply “cloning” an MS/MS spectrum if a potential cofragmented peptide is detected. The list of candidate peptide precursors is generated from chromatographic feature detection, as in the MaxQuant/Andromeda workflow (16, 19), but using The OpenMS Proteomics Pipeline (TOPP) (20, 24). During the cloning, the precursor is replaced by the new candidate, but no changes in the MS/MS fragment list are made, and therefore the cloned MS/MS spectra remain chimeric. Processing such spectra requires a search engine tolerant to the presence of unassigned peaks, as such peaks are always expected when multiple precursors cofragment. Thus, we chose Morpheus (22) as a search engine. Based on the original search algorithm, we implement a reformed scoring scheme: Morpheus-AS (advanced scoring). It inherits all the basic principles from Morpheus but deeper utilizes the high mass accuracy of the data. This kind of database search removes the necessity of spectral processing for physical separation of MS/MS data into multiple subspectra (15), or consecutive subtraction of peaks (16, 17).Despite the fact that DeMix workflow is largely a combination of known approaches, it provides remarkable improvement compared with the state-of-the-art. On our Orbitrap Q-Exactive workbench, testing on a benchmark dataset of two-hour single-dimension LC-MS/MS experiments from HeLa cell lysate, we identified on average 1.24 peptide per MS/MS spectrum, breaking the “one MS/MS spectrum–one peptide” paradigm on the level of whole data set. At 1% false discovery rate (FDR), we obtained on average nine PSMs per second (at the actual acquisition rate of ca. seven MS/MS spectra per second), and detected 40 human proteins per minute.     

Insights into the Mechanism of Ribosomal Incorporation of Mammalian L13a Protein during Ribosome Biogenesis

In contrast to prokaryotes, the precise mechanism of incorporation of ribosomal proteins into ribosomes in eukaryotes is not well understood. For the majority of eukaryotic ribosomal proteins, residues critical for rRNA binding, a key step in the hierarchical assembly of ribosomes, have not been well defined. In this study, we used the mammalian ribosomal protein L13a as a model to investigate the mechanism(s) underlying eukaryotic ribosomal protein incorporation into ribosomes. This work identified the arginine residue at position 68 of L13a as being essential for L13a binding to rRNA and incorporation into ribosomes. We also demonstrated that incorporation of L13a takes place during maturation of the 90S preribosome in the nucleolus, but that translocation of L13a into the nucleolus is not sufficient for its incorporation into ribosomes. Incorporation of L13a into the 90S preribosome was required for rRNA methylation within the 90S complex. However, mutations abolishing ribosomal incorporation of L13a did not affect its ability to be phosphorylated or its extraribosomal function in GAIT element-mediated translational silencing. These results provide new insights into the mechanism of ribosomal incorporation of L13a and will be useful in guiding future studies aimed at fully deciphering mammalian ribosome biogenesis.     

核糖体蛋白S26的研究进展

核糖体蛋白(ribosomal proteins,RPs)不仅在细胞内参与合成蛋白质,还具有多种核糖体外功能。核糖体蛋白S26(RPS26)位于核糖体小亚基,其功能障碍与多种疾病密切相关。近年来,有关RPS26的研究主要在参与核糖体装配等核糖体功能方面,以及参与无义介导的mRNA降解机制(nonsense-mediated mRNA decay,NMD)、直接或间接调控重要的抑癌基因p53表达等核糖体外功能方面。多篇报道证实RPS26基因突变可引起戴-布二氏贫血(Diamond-Blackfan anemia,DBA),而RPS26基因与Ⅰ型糖尿病的关系仍有争议。探索RPS26参与NMD机制在DBA发生中的作用有助于深入认识DBA发病机理,同时也可为完善SMaRT(spliceosome-mediated mRNA trans-splicing)技术等基因疗法提供帮助。此外,RPS26在癌症中的作用也值得进一步探索。     

黑木耳核糖体失活蛋白的质谱分析

目的：对悬浮培养黑木耳菌丝体中分离纯化得到的核糖体失活蛋白进行质谱分析,测定其肽的指纹图谱。为用5′-RACE与3′-RACE方法,克隆和表达核糖体失活蛋白的基因,设计5′和3′末端的PCR引物。方法：使用HPLC和MALDI-TOF-MS（基质辅助激光解吸附电离飞行时间质谱）分析方法。结果：测定出肽的指纹图谱及三个随机肽段的氨基酸序列。结论：可根据所测肽段氨基酸序列设计5’-和3’-RACE的引物。