Construction of a neo fusion gene for expression in both prokaryotic and eukaryotic cells

A high-copy-number plasmid, pLink, was constructed to allow the direct selection in Escherichia coli of a neo fusion gene capable of conferring Geneticin (G418) resistance on mouse L cells. pLink was derived from pdMmtneo by insertion of a KpnI linker within the 5'-coding region of the neo gene. This created a minus-one frameshift mutation resulting in a translational termination within the N-terminal region of the protein. The Neo activity was restored by insertion into the modified neo gene of a piece of coding sequence derived from human HPRT cDNA. The resulting plasmid, pAH, was microinjected into mouse A9 cells and shown to confer resistance to G418.     

Chemical cross-linking and mass spectrometry to determine the subunit interaction network in a recombinant human SAGA HAT subcomplex

Understanding the way how proteins interact with each other to form transient or stable protein complexes is a key aspect in structural biology. In this study, we combined chemical cross-linking with mass spectrometry to determine the binding stoichiometry and map the protein–protein interaction network of a human SAGA HAT subcomplex. MALDI-MS equipped with high mass detection was used to follow the cross-linking reaction using bis[sulfosuccinimidyl] suberate (BS3) and confirm the heterotetrameric stoichiometry of the specific stabilized subcomplex. Cross-linking with isotopically labeled BS3 d0-d4 followed by trypsin digestion allowed the identification of intra- and intercross-linked peptides using two dedicated search engines: pLink and xQuest. The identified interlinked peptides suggest a strong network of interaction between GCN5, ADA2B and ADA3 subunits; SGF29 is interacting with GCN5 and ADA3 but not with ADA2B. These restraint data were combined to molecular modeling and a low-resolution interacting model for the human SAGA HAT subcomplex could be proposed, illustrating the potential of an integrative strategy using cross-linking and mass spectrometry for addressing the structural architecture of multiprotein complexes.     

Proteomic characterization of aggregating proteins after the inhibition of the ubiquitin proteasome system

Protein aggregation, which is associated with the impairment of the ubiquitin proteasome system, is a hallmark of many neurodegenerative diseases. To better understand the contribution of proteasome inhibition in aggregation, we analyzed which proteins may potentially localize in chemically induced aggregates in human neuroblastoma tissue culture cells. We enriched for proteins in high-density structures by using a sucrose gradient in combination with stable isotope labeling with amino acids in cell culture (SILAC). The quantitative analysis allowed us to distinguish which proteins were specifically affected by the proteasome inhibition. We identified 642 potentially aggregating proteins, including the p62/sequestosome 1 and NBR1 ubiquitin-binding proteins involved in aggregation. We also identified the ubiquitin-associated protein 2 like (UBAP2L). We verified that it cofractionated with ubiquitin in the high-density fraction and that it was colocalized in the ubiquitin-containing aggregates after proteasome inhibition. In addition, we identified several chaperone proteins and used data from protein interaction networks to show that they potentially interact with distinct subgroups of proteins within the aggregating structures. Several other proteins associated with neurodegenerative diseases, like UCHL1, were identified, further underlining the potential of our analysis to better understand the aggregation process and proteotoxic stress caused by proteasome inhibition.     

Fractionation profiling: a fast and versatile approach for mapping vesicle proteomes and protein–protein interactions

We developed “fractionation profiling,” a method for rapid proteomic analysis of membrane vesicles and protein particles. The approach combines quantitative proteomics with subcellular fractionation to generate signature protein abundance distribution profiles. Functionally associated groups of proteins are revealed through cluster analysis. To validate the method, we first profiled >3500 proteins from HeLa cells and identified known clathrin-coated vesicle proteins with >90% accuracy. We then profiled >2400 proteins from Drosophila S2 cells, and we report the first comprehensive insect clathrin-coated vesicle proteome. Of importance, the cluster analysis extends to all profiled proteins and thus identifies a diverse range of known and novel cytosolic and membrane-associated protein complexes. We show that it also allows the detailed compositional characterization of complexes, including the delineation of subcomplexes and subunit stoichiometry. Our predictions are presented in an interactive database. Fractionation profiling is a universal method for defining the clathrin-coated vesicle proteome and may be adapted for the analysis of other types of vesicles and particles. In addition, it provides a versatile tool for the rapid generation of large-scale protein interaction maps.     

A simple affinity spin tube filter method for removing high-abundant common proteins or enriching low-abundant biomarkers for serum proteomic analysis

Although it is possible to identify new proteins from crude cell extracts using proteomics technology, it is often difficult to elucidate low-abundant biomarkers in the presence of a large amount of high-abundant proteins in serum. We have developed a simple and rapid method using an affinity spin tube filter to remove high-abundant common proteins and enrich the low-abundant biomarkers. The affinity spin tube filter contains protein G, coupled with antibodies against either high-abundant proteins or specific proteins of interest. After incubating with serum, the flow-through or the elute was collected and analyzed by two-dimensional gel electrophoresis. By using this affinity spin tube filter, the possibilities of identifying new biomarkers are shown. This technique could be used for large-scale sample preparation for high-throughput proteomic analysis.     

Local database and the search program for proteomic analysis of sperm proteins in the ascidian Ciona intestinalis

Separation of proteins by two-dimensional electrophoresis and following mass spectrometry (MS) is now a conventional technique for proteomic analysis. For proteomic analysis of a certain tissue with a limited information of primary structures of proteins, we have developed an analytical system for peptide mass fingerprinting in gene products in the testis of the ascidian Ciona intestinalis. Ciona sperm proteins were separated by two-dimensional gel electrophoresis and the tryptic fragments were subjected to MALDI-TOF/MS. The mass pattern was searched against on-line databases but resulted in less identification of these proteins. We have constructed a MS database from Ciona testis ESTs and the genome draft sequence, along with a newly devised, perl-based search program PerMS for peptide mass fingerprinting. This system could identify more than 80% of Ciona sperm proteins, suggesting that it could be widely applied for proteomic analysis for a limited tissue with less genomic information.     

Characterization of human proteins with different subcellular localizations by topological and biological properties

Knowing the protein localization can provide valuable information resource for elucidating protein function. In recent years, with the advances of human genomics and proteomics, it is possible to characterize human proteins that are located in different subcellular localizations. In this study, we used the topological properties and biological properties to characterize human proteins with six subcellular localizations. Almost all of these properties were found to be significantly different among six protein categories. Network topology analysis indicated that several significant topological properties, including the degree and k-core, were higher for the mitochondrial proteins. Biological property analysis showed that the nuclear proteins appeared to be correlated with important biological function. We hope these findings may provide some important help for comprehensive understanding the biological function of proteins, and prediction of protein subcellular localizations in human.     

Tube-gel digestion: a novel proteomic approach for high throughput analysis of membrane proteins

This study describes a new protein digestion protocol in which a variety of detergents can be used to solubilize membrane proteins and facilitate trypsin digestion with higher efficiency. In this protocol, proteins are dissolved in solutions containing various detergents and directly incorporated into a polyacrylamide gel matrix without electrophoresis. Detergents are subsequently eliminated from the gel matrix while proteins are still immobilized in the gel matrix. After in-gel digestion of proteins, LC-MS/MS is used to analyze the extracted peptides for protein identification. The uniqueness of the protocol is that it allows usage of a variety of detergents in the starting solution without interfering with LC-MS/MS analysis. We hereby demonstrate that different detergents, including ionic SDS, non-ionic Triton X-100 and n-octyl beta-d-glucopyranoside, and zwitterionic CHAPS, can be used to achieve maximum solubilization of membrane proteins with minimal interference with LC-MS/MS analysis. Enhanced digestions, i.e. improved number and intensity of detected peptides, are also demonstrated for digestion-resistant proteins such as myoglobin, ubiquitin, and bacteriorhodopsin. An additional advantage of the Tube-Gel digestion protocol is that, even without electrophoresis separation, it allows high throughput analysis of complex protein mixtures when coupled with LC-MS/MS. The protocol was used to analyze a complex membrane protein mixture prepared from prostate cancer cells. The protocol involves only a single digestion and 2.5 h of LC-MS/MS analysis and identified 178 membrane proteins. In comparison, the same membrane fraction was resolved by SDS-PAGE, and 20 gel slices were excised and individually digested and analyzed by LC-MS/MS. The more elaborate effort demanded more than 50 h of LC-MS/MS analysis and identified 268 proteins. The new Tube-Gel digestion protocol is an alternative method for high throughput analysis of membrane proteins.     

Salt bridges regulate both dimer formation and monomeric flexibility in HdeB and may have a role in periplasmic chaperone function

Escherichia coli and Gram-negative bacteria that live in the human gut must be able to tolerate rapid and large changes in environmental pH. Low pH irreversibly denatures and precipitates many bacterial proteins. While cytoplasmic proteins are well buffered against such swings, periplasmic proteins are not. Instead, it appears that some bacteria utilize chaperone proteins that stabilize periplasmic proteins, preventing their precipitation. Two highly expressed and related proteins, HdeA and HdeB, have been identified as acid-activated chaperones. The structure of HdeA is known and a mechanism for activation has been proposed. In this model, dimeric HdeA dissociates at low pH, and the exposed dimeric interface binds exposed hydrophobic surfaces of acid-denatured proteins, preventing their irreversible aggregation. We now report the structure and biophysical characterization of the HdeB protein. The monomer of HdeB shares a similar structure with HdeA, but its dimeric interface is different in composition and spatial location. We have used fluorescence to study the behavior of HdeB as pH is lowered, and like HdeA, it dissociates to monomers. We have identified one of the key intersubunit interactions that controls pH-induced monomerization. Our analysis identifies a structural interaction within the HdeB monomer that is disrupted as pH is lowered, leading to enhanced structural flexibility.     

Protein/RNA coextraction and small two-dimensional polyacrylamide gel electrophoresis for proteomic/gene expression analysis of renal cancer biopsies

A small amount of bioptic tissue ( approximately 5-10mg of fresh tissue) usually does not contain enough material to extract protein and RNA separately, to obtain preparative two-dimensional polyacrylamide gel electrophoresis (2-DE), and to identify a large number of separated proteins by MS. We tested a method, on small renal cancer specimens, for the coextraction of protein and RNA coupled with 2-DE and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) or quadrupole time-of-flight (Q-TOF) analysis. We coextracted 0.28+/-0.05mg of proteins and 2.5+/-0.33microg of RNA for each 10mg of renal carcinoma tissue. Small and large 2-DE gels were compared: they showed a similar number of spots, and it was possible to match each other; using small format gels, one-fifth of the protein amount was required to identify, by Q-TOF analysis, the same number of proteins identifiable in large-format gel using MALDI-TOF analysis. Quality of RNA coextracted with the proteins was tested by real-time PCR on a set of housekeeping genes. They were quantified with high amplification efficiency and specificity. In conclusion, using 5 to 10mg of fresh tissue, it was possible to perform comprehensive parallel proteomic and genomic analysis by high-resolution, small-format 2-DE gels, allowing approximately 300 proteins identification and 1000 genes expression analysis.     

Determining degradation and synthesis rates of arabidopsis proteins using the kinetics of progressive 15N labeling of two-dimensional gel-separated protein spots

The growth and development of plant tissues is associated with an ordered succession of cellular processes that are reflected in the appearance and disappearance of proteins. The control of the kinetics of protein turnover is central to how plants can rapidly and specifically alter protein abundance and thus molecular function in response to environmental or developmental cues. However, the processes of turnover are largely hidden during periods of apparent steady-state protein abundance, and even when proteins accumulate it is unclear whether enhanced synthesis or decreased degradation is responsible. We have used a (15)N labeling strategy with inorganic nitrogen sources coupled to a two-dimensional fluorescence difference gel electrophoresis and mass spectrometry analysis of two-dimensional IEF/SDS-PAGE gel spots to define the rate of protein synthesis (K(S)) and degradation (K(D)) of Arabidopsis cell culture proteins. Through analysis of MALDI-TOF/TOF mass spectra from 120 protein spots, we were able to quantify K(S) and K(D) for 84 proteins across six functional groups and observe over 65-fold variation in protein degradation rates. K(S) and K(D) correlate with functional roles of the proteins in the cell and the time in the cell culture cycle. This approach is based on progressive (15)N labeling that is innocuous for the plant cells and, because it can be used to target analysis of proteins through the use of specific gel spots, it has broad applicability.     

Life's Simple Measures: Unlocking the Proteome

Using modified nucleotides and selecting for slow off-rates in the SELEX procedure, we have evolved a special class of aptamers, called SOMAmers (slow off-rate modified aptamers), which bind tightly and specifically to proteins in body fluids. We use these in a novel assay that yields 1:1 complexes of the SOMAmers with their cognate proteins in body fluids. Measuring the SOMAmer concentrations of the resultant complexes reflects the concentration of the proteins in the fluids. This is simply done by hybridization to complementary sequences on solid supports, but it can also be done by any other DNA quantification technology (including NexGen sequencing). We use measurements of over 1000 proteins in under 100μL of serum or plasma to answer important medical questions, two of which are reviewed here. A number of bioinformatics methods have guided our discoveries, including principal component analysis. We use various methods to evaluate sample handling procedures in our clinical samples and can identify many parameters that corrupt proteomics analysis.     

Identification of hub proteins from sequence

Identification of hub proteins from sequence is a challenge in molecular biology. Therefore, it is of interest to predict protein hubs in networks. We describe the prediction of protein "hub" using physiochemical, thermodynamic and conformational properties of amino acid residues in sequence. We have used twenty sequence based features to identify hub behaviour. Linear discriminant analysis and normalised Bayesian approach were utilized for identifying hub proteins solely using these sequence features in E. coli/H. sapiens datasets with accuracies of 99.5/98.6, 87.8/89.6 and 90.1/92.6, respectively.     

叶绿体蛋白质组研究进展

亚细胞蛋白质组学是近年来蛋白组学研究中的一个热点。通过细胞器的纯化和亚细胞组分的分离,降低了样品的复杂性,增大了相应蛋白质组分的富集,有利于由此分离获得的蛋白质的序列分析及功能鉴定。叶绿体蛋白质组为植物亚细胞蛋白质组学研究中相对全面的一部分,利用亚细胞分离结合双向电泳技术系统地鉴定叶绿体中蛋白质组分是获取叶绿体蛋白质信息、确定其功能的重要技术手段。本文就近年来植物叶绿体蛋白质组涵盖的叶绿体内、外被膜、叶绿体基质、类囊体膜和类囊体腔蛋白的研究进行综述,以全面认识叶绿体蛋白的组成、特点及其在叶绿体生理生化代谢网络中的作用。     

Identification of binary interactions between human cytomegalovirus virion proteins

Human cytomegalovirus (HCMV) virions are composed of a DNA-containing nucleocapsid surrounded by a tegument layer and host-derived lipid envelope studded with virally encoded glycoproteins. These complex virions are estimated to be composed of more than 50 viral proteins. Assembly of HCMV virions is poorly understood, especially with respect to acquisition of the tegument; however, it is thought to involve the stepwise addition of virion components through protein-protein interactions. We sought to identify interactions among HCMV virion proteins using yeast two-hybrid analysis. Using 33 known capsid and tegument proteins, we tested 1,089 pairwise combinations for binary interaction in the two-hybrid assay. We identified 24 interactions among HCMV virion proteins, including 13 novel interactions among tegument proteins and one novel interaction between capsid proteins. Several of these novel interactions were confirmed by coimmunoprecipitation of protein complexes from transfected cells. In addition, we demonstrate three of these interactions in the context of HCMV infection. This study reveals several new protein-protein interactions among HCMV tegument proteins, some of which are likely important for HCMV replication and pathogenesis.     

A Novel Association between Two Trypanosome-Specific Factors and the Conserved L5-5S rRNA Complex

P34 and P37 are two previously identified RNA binding proteins in the flagellate protozoan Trypanosoma brucei. RNA interference studies have determined that the proteins are involved in and essential for ribosome biogenesis. The proteins interact with the 5S rRNA with nearly identical binding characteristics. We have shown that this interaction is achieved mainly through the LoopA region of the RNA, but P34 and P37 also protect the L5 binding site located on LoopC. We now provide evidence to show that these factors form a novel pre-ribosomal particle through interactions with both 5S rRNA and the L5 ribosomal protein. Further in silico and in vitro analysis of T. brucei L5 indicates a lower affinity for 5S rRNA than expected, based on other eukaryotic L5 proteins. We hypothesize that P34 and P37 complement L5 and bridge the interaction with 5S rRNA, stabilizing it and aiding in the early steps of ribosome biogenesis.     

Comparative proteomic analysis of the insulin‐induced L6 myotube secretome

Emerging evidence has revealed an endocrine function for skeletal muscle; in fact, certain anti‐inflammatory cytokines are secreted only from contractile skeletal muscle. However, the skeletal muscle secretome as a whole is poorly characterized, as is how it changes in response to extracellular stimuli. Herein, we sought to identify and characterize the members of the skeletal muscle secretome, and to determine which protein secretion levels were modulated in response to insulin stimulation. To conduct these studies, we treated differentiated L6 rat skeletal muscle cells with insulin or left them untreated, and we comparatively analyzed the proteins secreted into the media. We fractionated this conditioned media using offline RP HPLC, digested the fractionated proteins, and analyzed the resulting peptides with LC‐ESI‐MS/MS. We identified a total of 254 proteins, and by using three different filtering methods, we identified 153 of these as secretory proteins. Fourteen proteins were secreted at higher levels under insulin stimulation, including several proteins known to be highly secreted in metabolic diseases; 19 proteins were secreted at lower levels under insulin stimulation. These result not only pinpointed several previously unknown, insulin induced, secretory proteins of skeletal muscle, it also described a novel approach for conditioned secretome analysis.     

Analysis of the mouse liver proteome using advanced mass spectrometry

We report a large-scale analysis of mouse liver tissue comprising a novel fractionation approach and high-accuracy mass spectrometry techniques. Two fractions enriched for soluble and membrane proteins from 20 mg of frozen tissue were separated by one-dimensional electrophoresis followed by LC-MS/MS on the hybrid linear ion trap (LTQ)-Orbitrap mass spectrometer. Confident identification of 2210 proteins relied on at least two peptides. We combined this proteome with our previously reported organellar map (Foster et al. Cell 2006, 125, 187-199) to generate a very high confidence mouse liver proteome of 3244 proteins. The identified proteins represent the liver proteome with no discernible bias due to protein physicochemical properties, subcellular distribution, or biological function. Forty-seven percent of identified proteins were annotated as membrane-bound, and for 35.3%, transmembrane domains were predicted. For potential application in toxicology or clinical studies, we demonstrate that it is possible to consistently identify more than 1000 proteins in a single run.     

PANDORA: keyword-based analysis of protein sets by integration of annotation sources

Recent advances in high-throughput methods and the application of computational tools for automatic classification of proteins have made it possible to carry out large-scale proteomic analyses. Biological analysis and interpretation of sets of proteins is a time-consuming undertaking carried out manually by experts. We have developed PANDORA (Protein ANnotation Diagram ORiented Analysis), a web-based tool that provides an automatic representation of the biological knowledge associated with any set of proteins. PANDORA uses a unique approach of keyword-based graphical analysis that focuses on detecting subsets of proteins that share unique biological properties and the intersections of such sets. PANDORA currently supports SwissProt keywords, NCBI Taxonomy, InterPro entries and the hierarchical classification terms from ENZYME, SCOP and GO databases. The integrated study of several annotation sources simultaneously allows a representation of biological relations of structure, function, cellular location, taxonomy, domains and motifs. PANDORA is also integrated into the ProtoNet system, thus allowing testing thousands of automatically generated clusters. We illustrate how PANDORA enhances the biological understanding of large, non-uniform sets of proteins originating from experimental and computational sources, without the need for prior biological knowledge on individual proteins.