A proteome chip approach reveals new DNA damage recognition activities in Escherichia coli

Despite the fact that many genomes have been decoded, proteome chips comprising individually purified proteins have been reported only for budding yeast, mainly because of the complexity and difficulty of high-throughput protein purification. To facilitate proteomics studies in prokaryotes, we have developed a high-throughput protein purification protocol that allowed us to purify 4,256 proteins encoded by the Escherichia coli K12 strain within 10 h. The purified proteins were then spotted onto glass slides to create E. coli proteome chips. We used these chips to develop assays for identifying proteins involved in the recognition of potential base damage in DNA. By using a group of DNA probes, each containing a mismatched base pair or an abasic site, we found a small number of proteins that could recognize each type of probe with high affinity and specificity. We further evaluated two of these proteins, YbaZ and YbcN, by biochemical analyses. The assembly of libraries containing DNA probes with specific modifications and the availability of E. coli proteome chips have the potential to reveal important interactions between proteins and nucleic acids that are time-consuming and difficult to detect using other techniques.     

Multifunctional CMOS microchip coatings for protein and peptide arrays

Complementary metal oxide semiconductor (CMOS) microelectronic chips fulfill important functions in the field of biomedical research, ranging from the generation of high complexity DNA and protein arrays to the detection of specific interactions thereupon. Nevertheless, the issue of merging pure CMOS technology with a chemically stable surface modification which further resists interfering nonspecific protein adsorption has not been addressed yet. We present a novel surface coating for CMOS microchips based on poly(ethylene glycol)methacrylate graft polymer films, which in addition provides high loadings of functional groups for the linkage of probe molecules. The coated microchips were compatible with the harshest conditions emerging in microarray generating methods, thoroughly retaining structural integrity and microelectronic functionality. Nonspecific adsorption of proteins on the chip's surface was completely obviated even with complex serum protein mixtures. We could demonstrate the background-free antibody staining of immobilized probe molecules without using any blocking agents, encouraging further integration of CMOS technology in proteome research.     

The role of disorder in interaction networks: a structural analysis

Recent studies have emphasized the value of including structural information into the topological analysis of protein networks. Here, we utilized structural information to investigate the role of intrinsic disorder in these networks. Hub proteins tend to be more disordered than other proteins (i.e. the proteome average); however, we find this only true for those with one or two binding interfaces (‘single’‐interface hubs). In contrast, the distribution of disordered residues in multi‐interface hubs is indistinguishable from the overall proteome. Surprisingly, we find that the binding interfaces in single‐interface hubs are highly structured, as is the case for multi‐interface hubs. However, the binding partners of single‐interface hubs tend to have a higher level of disorder than the proteome average, suggesting that their binding promiscuity is related to the disorder of their binding partners. In turn, the higher level of disorder of single‐interface hubs can be partly explained by their tendency to bind to each other in a cascade. A good illustration of this trend can be found in signaling pathways and, more specifically, in kinase cascades. Finally, our findings have implications for the current controversy related to party and date‐hubs.     

High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites

The detection and quantification of plasma (serum) proteins at or below the ng/ml concentration range are of critical importance for the discovery and evaluation of new protein biomarkers. This has been achieved either by the development of high sensitivity ELISA or other immunoassays for specific proteins or by the extensive fractionation of the plasma proteome followed by the mass spectrometric analysis of the resulting fractions. The first approach is limited by the high cost and time investment for assay development and the requirement of a validated target. The second, although reasonably comprehensive and unbiased, is limited by sample throughput. Here we describe a method for the detection of plasma proteins at concentrations in the ng/ml or sub-ng/ml range and their accurate quantification over 5 orders of magnitude. The method is based on the selective isolation of N-glycosites from the plasma proteome and the detection and quantification of targeted peptides in a quadrupole linear ion trap instrument operated in the multiple reaction monitoring (MRM) mode. The unprecedented sensitivity of the mass spectrometric analysis of minimally fractionated plasma samples is the result of the significantly reduced sample complexity of the isolated N-glycosites compared with whole plasma proteome digests and the selectivity of the MRM process. Precise quantification was achieved via stable isotope dilution by adding (13)C- and/or (15)N-labeled reference analytes. We also demonstrate the possibility of significantly expanding the number of MRM measurements during one single LC-MS run without compromising sensitivity by including elution time constraints for the targeted transitions, thus allowing quantification of large sets of peptides in a single analysis.     

Genetics of proteome variation for QTL characterization: application to drought-stress responses in maize

The proteome is emerging as an important concept of the post-genome era. Powerful nucleic acid approaches (EST, DNA chips, etc.) are still limited because DNA sequences and mRNA levels are not sufficient to predict the structure, function, amount, and activity of the proteins in the cell. The proteome can now be subjected to large-scale analysis, owing to spectacular progress in the techniques of identification of proteins excised from two-dimensional (2-D) gels. In addition, computer-based analysis of 2-D gels makes it possible to quantify the protein spot intensities, which are commonly genetically variable. The loci controlling these variations may be mapped on the genome (PQLs, Protein Quantity Loci). Beyond the interest for regulatory genetics and molecular biology, the PQL methodology can provide an additional tool for the difficult task of identifying QTLs (Quantitative Trait Loci), in the context of the candidate gene approach. The PQL methodology is presented with the example of the phosphoglycerate mutase variations in maize, and the candidate gene/protein approach is illustrated for traits responsive to drought stress.     

Expanding the subproteome of the inner mitochondria using protein separation technologies: one- and two-dimensional liquid chromatography and two-dimensional gel electrophoresis

Currently no single proteomics technology has sufficient analytical power to allow for the detection of an entire proteome of an organelle, cell, or tissue. One approach that can be used to expand proteome coverage is the use of multiple separation technologies especially if there is minimal overlap in the proteins observed by the different methods. Using the inner mitochondrial membrane subproteome as a model proteome, we compared for the first time the ability of three protein separation methods (two-dimensional liquid chromatography using the ProteomeLab PF 2D Protein Fractionation System from Beckman Coulter, one-dimensional reversed phase high performance liquid chromatography, and two-dimensional gel electrophoresis) to determine the relative overlap in protein separation for these technologies. Data from these different methods indicated that a strikingly low number of proteins overlapped with less than 24% of proteins common between any two technologies and only 7% common among all three methods. Utilizing the three technologies allowed the creation of a composite database totaling 348 non-redundant proteins. 82% of these proteins had not been observed previously in proteomics studies of this subproteome, whereas 44% had not been identified in proteomics studies of intact mitochondria. Each protein separation method was found to successfully resolve a unique subset of proteins with the liquid chromatography methods being more suited for the analysis of transmembrane domain proteins and novel protein discovery. We also demonstrated that both the one- and two-dimensional LC allowed for the separation of the alpha-subunit of F1F0 ATP synthase that differed due to a change in pI or hydrophobicity.     

Current status of protein chip development in terms of fabrication and application

Sequencing of the human genome revealed that more than 30 000 genes encode proteins comprising the human proteome. "Proteomics" can be defined as a field of research studying proteins in terms of their function, expression, structure, modification and their interaction in physiological and in pathological states. The concentration, modification and interaction of proteins in cells, plasma, and in tissues are crucial in determining the phenotype of living organisms. Although fluctuation of protein concentration is essential to maintain homeostasis, protein expression levels are also pathognomonic features. Estimating protein concentration by analyzing the quantity of mRNA in cells through conventional technologies, such as DNA chips, does not provide precise values since the half-life and translation efficacy of mRNA is variable. In addition, polypeptides undergo post-translational modification. For these reasons, novel techniques are needed to analyze multiple proteins simultaneously using protein microarrays. In the near future, protein chips may allow construction of complete relational databases for metabolic and signal transduction pathways. This article reviews the current status of technologies for fabricating protein microarrays and their applications.     

蛋白质点阵/芯片技术的新进展

蛋白质点阵/芯片技术是分子生物学技术的重要进展,在功能蛋白质组研究方面具有广阔的潜在应用价值.目前发展起来的印迹蛋白微阵列、分子扫描技术和传感器生物芯片质谱,将应用于药靶检测、疾病诊断、蛋白质结构鉴定和/或蛋白质之间的相互作用分析等方面,具有分析速度快、效率高、样品消耗少等特点,将成为生命科学与医学领域新的研究工具.     

Structure Prediction and Analysis of DNA Transposon and LINE Retrotransposon Proteins

Despite the considerable amount of research on transposable elements, no large-scale structural analyses of the TE proteome have been performed so far. We predicted the structures of hundreds of proteins from a representative set of DNA and LINE transposable elements and used the obtained structural data to provide the first general structural characterization of TE proteins and to estimate the frequency of TE domestication and horizontal transfer events. We show that 1) ORF1 and Gag proteins of retrotransposons contain high amounts of structural disorder; thus, despite their very low conservation, the presence of disordered regions and probably their chaperone function is conserved. 2) The distribution of SCOP classes in DNA transposons and LINEs indicates that the proteins of DNA transposons are more ancient, containing folds that already existed when the first cellular organisms appeared. 3) DNA transposon proteins have lower contact order than randomly selected reference proteins, indicating rapid folding, most likely to avoid protein aggregation. 4) Structure-based searches for TE homologs indicate that the overall frequency of TE domestication events is low, whereas we found a relatively high number of cases where horizontal transfer, frequently involving parasites, is the most likely explanation for the observed homology.     

Protein micro- and macroarrays: digitizing the proteome

The early applications of microarrays and detection technologies have been centered on DNA-based applications. The application of array technologies to proteomics is now occurring at a rapid rate. Numerous researchers have begun to develop technologies for the creation of microarrays of protein-based screening tools. The stability of antibody molecules when bound to surfaces has made antibody arrays a starting point for proteomic microarray technology. To minimize disadvantages due to size and availability, some researchers have instead opted for antibody fragments, antibody mimics or phage display technology to create libraries for protein chips. Even further removed from antibodies are libraries of aptamers, which are single-stranded oligonucleotides that express high affinity for protein molecules. A variation on the theme of protein chips arrayed with antibody mimics or other protein capture ligand is that of affinity MS where the protein chips are directly placed in a mass spectrometer for detection. Other approaches include the creation of intact protein microarrays directly on glass slides or chips. Although many of the proteins may likely be denatured, successful screening has been demonstrated. The investigation of protein-protein interactions has formed the basis of a technique called yeast two-hybrid. In this method, yeast "bait" proteins can be probed with other yeast "prey" proteins fused to DNA binding domains. Although the current interpretation of protein arrays emphasizes microarray grids of proteins or ligands on glass slides or chips, 2-D gels are technically macroarrays of authentic proteins. In an innovative departure from the traditional concept of protein chips, some researchers are implementing microfluidic printing of arrayed chemistries on individual protein spots blotted onto membranes. Other researchers are using in-jet printing technology to create protein microarrays on chips. The rapid growth of proteomics and the active climate for new technology is driving a new generation of companies and academic efforts that are developing novel protein microarray techniques for the future.     

Proteome cataloging and relative quantification of Francisella tularensis tularensis strain Schu4 in 2D PAGE using preparative isoelectric focusing

The protein complement of whole cell extract of the bacterium Francisella tularensis tularensis was analyzed using two-dimensional electrophoresis with preparative isoelectric focusing in the first dimension. The format allows the quantification of relative protein abundance by linear densitometry and extends the potential dynamic range of protein detection by as much as an order of magnitude. The relative abundance and rank order of 136 unique proteins identified in F. tularensis tularensis were established. It is estimated that 16% of the moderately to highly expressed proteins and 8% of all predicted non-pseudogenes were identified by comparing this proteome information with the relative abundance of mRNA as measured by microarray. This rank-ordered proteome list provides an important resource for understanding the pathogenesis of F. tularensis and is a tool for the selection and design of synthetic vaccines. This method represents a useful additional technique to improve whole proteome analyses of simple organisms.     

Estimation of the efficiency of 2D analysis and bioinformatics search in identification of protein markers for colon tumors

A modification of proteome differential analysis was developed; it comprises initial removal of the cell structural proteins by extraction with buffered saline and protein fractionation by gel filtration with subsequent separation by two-dimensional gel electrophoresis and identification by mass-spectrometry. This approach provided for detection of 12 proteins with significantly elevated expression levels in the majority of the analyzed malignant colorectal tumor specimens as compared with normal tissues. Increased contents of eight proteins were discovered for the first time. The efficiencies of the search for tumor markers by 2D analysis and serial analysis of gene expression (SAGE) were compared using the control panel of 19 potential colorectal tumor markers, identified earlier or independently found by other researchers. The 2D data for the control panel matched the earlier published data, whereas the search of SAGE database succeeded in detection only one-third of the markers.     

The challenge of the proteome dynamic range and its implications for in‐depth proteomics

The dynamic range of the cellular proteome approaches seven orders of magnitude—from one copy per cell to ten million copies per cell. Since a proteome's abundance distribution represents a nearly symmetric bell‐shape curve on the logarithmic copy number scale, detection of half of the expressed cellular proteome, i.e. approximately 5000 proteins, should be a relatively straightforward task with modern mass spectrometric instrumentation that exhibits four orders of magnitude of the dynamic range, while deeper proteome analysis should be progressively more difficult. Indeed, metaanalysis of 15 recent papers that claim detection of >5000 protein groups reveals that the half‐proteome analyses currently requires ≈5 h of chromatographic separation, while deeper analyses yield on average ≤20 new proteins per hour of chromatographic gradient. Therefore, a typical proteomics experiment consists of a “high‐content” part, with the detection rate of approximately 1000 proteins/h, and a “low‐content” tail with much lower rate of discovery and respectively, lower cost efficiency. This result calls for disruptive innovation in deep proteomics analysis.     

MS characterization of qualitative protein polymorphisms in the spinal cords of inbred mouse strains

The spinal cord proteomes of two inbred mouse strains with different susceptibility to experimental autoimmune encephalomyelitis (EAE), a mouse model of multiple sclerosis, were investigated by 2‐DE and MALDI‐MS. A proteome map comprising 304 different protein species was established. Using 2‐D fluorescence difference gel electrophoresis, a comparison of the mouse strains revealed 26 qualitatively polymorphic proteins with altered electrophoretic mobility. MS analyses and DNA sequencing were applied to characterize their structural differences and 14 single amino acid substitutions were identified. Moreover, analysis of selectively enriched phosphopeptides from the neurofilament heavy polypeptide of both mouse strains revealed a high degree of diversity in the phosphorylated C‐terminal domains of this protein. The described approach is capable to structurally characterize qualitative protein polymorphisms, whereas their functional significance remains to be elucidated. For some proteins formerly associated with experimental autoimmune encephalomyelitis and/or multiple sclerosis structural polymorphisms are described here, which may be subjected to further investigations. In addition, this work should be of general interest for proteomic analysis of inbred strains, because it shows potentials and constraints in the use of 2‐DE analysis and MALDI‐MS to detect and characterize structural protein polymorphisms.     

Macro-to-micro structural proteomics: native source proteins for high-throughput crystallization

Structural biology and structural genomics projects routinely rely on recombinantly expressed proteins, but many proteins and complexes are difficult to obtain by this approach. We investigated native source proteins for high-throughput protein crystallography applications. The Escherichia coli proteome was fractionated, purified, crystallized, and structurally characterized. Macro-scale fermentation and fractionation were used to subdivide the soluble proteome into 408 unique fractions of which 295 fractions yielded crystals in microfluidic crystallization chips. Of the 295 crystals, 152 were selected for optimization, diffraction screening, and data collection. Twenty-three structures were determined, four of which were novel. This study demonstrates the utility of native source proteins for high-throughput crystallography.     

Comprehensive yeast proteome analysis using a capillary isoelectric focusing-based multidimensional separation platform coupled with ESI-MS/MS

As demonstrated in this study, a CIEF-based multidimensional separation platform not only is compatible with the detergent-based membrane protein preparation protocol, but also achieves both the largest yeast membrane proteome coverage and the most comprehensive analysis of the yeast proteome to date. By using a 1% false discovery rate for total peptide identifications, a total of 2513 distinct yeast proteins are identified from the SDS-solubilized fraction with an average of 5.4 peptides leading to each protein identification. Among proteins identified from the SDS-solubilized fraction, 407 proteins are predicted to contain at least two or more transmembrane domains using TMHMM (www.cbs.dtu.dk/services/TMHMM-2.0/), corresponding to 46% yeast membrane proteome coverage. Only four additional membrane proteins are identified in the soluble and urea-solubilized fractions, affirming the utility of SDS extraction for enriching the membrane proteome. By combining proteome results obtained from the soluble, urea-solubilized, and SDS-solubilized fractions, a single yeast proteome analysis yields the identification of 3632 distinct yeast proteins, corresponding to 55% theoretical yeast proteome coverage or 70% of proteins predicted to be expressed during log-phase growth in rich media.     

Protein microarrays and their applications

In recent years, the importance of proteomic works, such as protein expression, detection and identification, has grown in the fields of proteomic and diagnostic research. This is because complete genome sequences of humans, and other organisms, progress as cellular processing and controlling are performed by proteins as well as DNA or RNA. However, conventional protein analyses are time-consuming; therefore, high throughput protein analysis methods, which allow fast, direct and quantitative detection, are needed. These are so-called protein microarrays or protein chips, which have been developed to fulfill the need for high-throughput protein analyses. Although protein arrays are still in their infancy, technical development in immobilizing proteins in their native conformation on arrays, and the development of more sensitive detection methods, will facilitate the rapid deployment of protein arrays as high-throughput protein assay tools in proteomics and diagnostics. This review summarizes the basic technologies that are needed in the fabrication of protein arrays and their recent applications.