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At least 973 records · Page 54Linked to original sources

Improved sensitivity of biomolecular interaction analysis mass spectrometry for the identification of interacting molecules.

Biological functions of most macromolecules depend on their ability to interact with other molecules and a great challenge is the complete description of the protein interaction networks. Biomolecular interaction analysis (BIA) is an optical technology that uses the surface plasmon resonance phenomenon for characterizing macromolecular interactions between an analyte in solution and its ligand immobilized on a sensor chip. Further identification of interacting proteins can be achieved by combining this nondestructive method to mass spectrometry (MS). The BIA-MS approach represents a promising tool in proteomics for the characterization of protein/protein interactions. In this study, we report on the improved sensitivity in the identification of an unknown protein bound to a known ligand by a rapid and simple BIA-MS approach. We took advantage of a new automatic and very reproducible microelution procedure available on BIACORE 3000 instruments, called "microrecovery", to elute the bound protein from the sensor chip. Protein identification was then achieved after tryptic digestion by matrix-assisted laser desorption/ionization-time of flight mass mapping and database search. The strategy was succesfully applied to the model protein SHP2 tyrosine phosphatase interacting with an immunoreceptor tyrosine-based inhibitory motif sequence of the sst2 somatostatin receptor. Optimization of the BIA-MS approach allowed the unambiguous identification of 10-20 fmol of the protein specifically trapped from a complex mixture of cytosolic extracts.

Amino Acid Sequence↗

Improved mass spectrometric identification of gel-separated hydrophobic membrane proteins after sodium dodecyl sulfate removal by ion-pair extraction.

Separation and identification of hydrophobic membrane proteins is a major challenge in proteomics. Identification of such sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE)-separated proteins by peptide mass fingerprinting (PMF) via matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) is frequently hampered by the insufficient amount of peptides being generated and their low signal intensity. Using the seven helical transmembrane-spanning proton pump bacteriorhodopsin as model protein, we demonstrate here that SDS removal from hydrophobic proteins by ion-pair extraction prior to in-gel tryptic proteolysis leads to a tenfold higher sensitivity in mass spectrometric identification via PMF, with respect to initial protein load on SDS-PAGE. Furthermore, parallel sequencing of the generated peptides by electrospray ionization-mass spectrometry (ESI-MS) and tandem mass spectrometry (MS/MS) was possible without further sample cleanup. We also show identification of other membrane proteins by this protocol, as proof of general applicability.

Amino Acid Sequence↗

Protein identification and tracking in two-dimensional electrophoretic gels by minimal protein identifiers.

Protein identification by matrix-assisted laser desorption/ionization mass-spectrometry peptide mass fingerprinting (MALDI-MS PMF) represents a cornerstone of proteomics. However, it often fails to identify low-molecular-mass proteins, protein fragments, and protein mixtures reliably. To overcome these limitations, PMF can be complemented by tandem mass spectrometry and other search strategies for unambiguous protein identification. The present study explores the advantages of using a MALDI-MS-based approach, designated minimal protein identifier (MPI) approach, for protein identification. This is illustrated for culture supernatant (CSN) proteins of Mycobacterium tuberculosis H37Rv after separation by two-dimensional gel electrophoresis (2-DE). The MPI approach takes into consideration that proteins yield characteristic peptides upon proteolytic cleavage. In this study, peptide mixtures derived from tryptic protein cleavage were analyzed by MALDI-MS and the resulting spectra were compared with template spectra of previously identified counterparts. The MPI approach allowed protein identification by few protein-specific signature peptide masses and revealed truncated variants of mycobacterial elongation factor EF-Tu, previously not identified by PMF. Furthermore, the MPI approach can be employed to track proteins in 2-DE gels, as demonstrated for the 14 kDa antigen, the 10 kDa chaperone, and the conserved hypothetical protein Rv0569 of M. tuberculosis H37Rv. Furthermore, it is shown that the power of the MPI approach strongly depends on distinct factors, most notably on the complexity of the proteome analyzed and accuracy of the mass spectrometer used for peptide mass determination.

Bacterial Proteins↗

A targeted proteomics approach to the rapid identification of bacterial cell mixtures by matrix-assisted laser desorption/ionization mass spectrometry.

A proteomic approach to the rapid identification of bacteria is presented, which relies on the solubilization of a limited number of proteins from intact cells combined with on-probe tryptic digestion. Within 20 min, complete cleavage products of a limited set of bacterial proteins with molecular masses of about 4-125 kDa were obtained by on-probe digestion with immobilized trypsin. Bacterial peptides suitable for unimolecular decomposition analysis were generated within 5 min, and the sequence information obtained allowed identification of abundant proteins, and accordingly, their bacterial sources via searches in the NCBI database. Analysis of fragmentation products was also shown to allow for identification of bacterial peptides identical in mass but differing slightly in amino acid sequence by manual data analysis. In this work, Bacillus subtilis 168, B. globigii, B. sphaericus 14577, B. cereus T, and B. anthracis Sterne were examined, and various cold shock proteins were identified in all species. In addition, DNA-binding, 60 kDa-heat shock, surface-related and other stress-protective proteins were identified in the bacterial cell digests, and species-specific tryptic peptides could be generated from each of the Bacillus species studied. Bacterial peptides could be analyzed with greater sensitivity and mass accuracy than the parent proteins. The applicability of this targeted proteomics approach to the rapid identification of Bacillus species was further established by analyzing binary cell mixtures.

Amino Acid Sequence↗

PRIDE: the proteomics identifications database.

The advent of high-throughput proteomics has enabled the identification of ever increasing numbers of proteins. Correspondingly, the number of publications centered on these protein identifications has increased dramatically. With the first results of the HUPO Plasma Proteome Project being analyzed and many other large-scale proteomics projects about to disseminate their data, this trend is not likely to flatten out any time soon. However, the publication mechanism of these identified proteins has lagged behind in technical terms. Often very long lists of identifications are either published directly with the article, resulting in both a voluminous and rather tedious read, or are included on the publisher's website as supplementary information. In either case, these lists are typically only provided as portable document format documents with a custom-made layout, making it practically impossible for computer programs to interpret them, let alone efficiently query them. Here we propose the proteomics identifications (PRIDE) database (http://www.ebi.ac.uk/pride) as a means to finally turn publicly available data into publicly accessible data. PRIDE offers a web-based query interface, a user-friendly data upload facility, and a documented application programming interface for direct computational access. The complete PRIDE database, source code, data, and support tools are freely available for web access or download and local installation.

Computational Biology↗

Extending ribosomal protein identifications to unsequenced bacterial strains using matrix-assisted laser desorption/ionization mass spectrometry.

A protocol has been developed that allows protein identifications using available DNA-based or protein sequences from a reference strain of a bacterial species to be extended to bacterial strains for which no prior DNA-based or protein sequence information exists. The protocol is predicated on careful isolation of a specific sub-cellular group of proteins. In this study, ribosomal proteins were chosen due to their high relative abundance and similarity in copy number per cell. After isolation of ribosomal proteins, MALDI-MS is used to acquire accurate protein molecular weights. An iterative comparison of reference protein molecular weights and identities is made to the resulting data, allowing for the straightforward identification of ribosomal proteins from any non-reference strains. This approach can reveal differences between proteins at the amino acid or post-translational level. The protocol was developed, validated and applied to ribosomal proteins from three strains of the extreme thermophile Thermus thermophilus. This approach revealed that nearly 60% of the ribosomal proteins from all three strains are identical. The extension of protein identification to additional bacterial strains can be useful in phylogenetic studies as well as in biomarker identification.

Bacterial Proteins↗

Efficient identification of side-chain patterns using a multidimensional index tree.

Convergent evolution often produces similar functional sites in nonhomologous proteins. The identification of these sites can make it possible to infer function from structure, to pinpoint the location of a functional site, to identify enzymes with similar enzymatic mechanisms, or to discover putative functional sites. In this article, a novel method is presented that (a) queries a database of protein structures for the occurrence of a given side chain pattern and (b) identifies interesting side-chain patterns in a given structure. For efficiency and to make a robust statistical evaluation of the significance of a similarity possible, patterns of three residues (or triads) are considered. Each triad is encoded as a high-dimensional vector and stored in an SR (Sphere/Rectangle) tree, an efficient multidimensional index tree. Identifying similar triads can then be reformulated as identifying neighboring vectors. The method deals with many features that otherwise complicate the identification of meaningful patterns: shifted backbone positions, conservative substitutions, various atom label ambiguities and mirror imaged geometries. The combined treatment of these features leads to the identification of previously unidentified patterns. In particular, the identification of mirror imaged side-chain patterns is unique to the here-described method. Interesting triads in a given structure can be identified by extracting all triads and comparing them with a database of triads involved in ligand binding. The approach was tested by an all-against-all comparison of unique representatives of all SCOP superfamilies. New findings include mirror imaged metal binding and active sites, and a putative active site in bacterial luciferase.

3-Isopropylmalate Dehydrogenase↗

Use of a five-channel multiplexed electrospray quadrupole time-of-flight hybrid mass spectrometer for metabolite identification.

Metabolism data provided with reduced cycle time has become of increasing importance for the early evaluation of DMPK properties of drugs in discovery. In this regard, quadrupole time-of-flight hybrid mass spectrometers (Q-TOF) can provide very reliable metabolite identification via accurate mass measurement of ions and the consequent access to the elemental composition of the metabolite. However, due to their cost, they are often used for drug metabolism studies on later stage drug candidates or to address challenging metabolism questions. A new prototype, consisting of a five-channel multiplexed electrospray ionization (ESI) source on a Q-TOF with one channel used for lock-mass compound infusion, was evaluated for metabolite identification. The goal was to increase the sample throughput of a single ESI-MS system by a factor of 4, while maintaining efficient metabolite separation in high-performance liquid chromatography (HPLC) as well as adequate sensitivity and mass accuracy, and ultimately improve the speed and quality of metabolism studies supporting drug discovery. The analytical performance of the system was assessed by evaluating the sensitivity and mass accuracy (using real in vitro and in vivo samples), inter-channel differences in retention times, MS/UV response, and cross-talk among channels. The sensitivity using the multiplexed ESI source was on average 2-fold lower than with single ESI, correlating well with previous literature data. The mass accuracy was comparable to that obtained using single ESI in both MS and MS/MS modes, making the metabolite identification process using the multiplexed ESI source as reliable as with single ESI. Compound-dependent differences in ionization efficiencies were observed among channels, and were minimized by analyzing related samples on the same channel. Finally, the level of cross-talk among channels was acceptable (around 0.3%) and comparable to levels previously published for quantitative applications using multiplexed ESI. The paper also focuses on the advantages and disadvantages of this new approach compared to other approaches in the literature in the field of metabolite identification.

Animals↗

Confident protein identification using the average peptide score method coupled with search-specific, ab initio thresholds.

Perhaps the greatest difficulty in interpreting large sets of protein identifications derived from mass spectrometric methods is whether or not to trust the results. For such experiments, the level of confidence in each protein identification made needs to be far greater than the often used 95% significance threshold to avoid the identification of many false-positives. To provide higher confidence results, we have developed an innovative scoring strategy coupling the recently published Average Peptide Score (APS) method with pre-filtering of peptide identifications, using a simple peptide quality filter. Iterative generation of these filters in conjunction with reversed database searching is used to determine the correct levels at which the APS and peptide quality thresholds should be set to return virtually zero false-positive reports. This proceeds without the need to reference a known dataset.

Computational Biology↗

PCR-based identification of pathogenic Candida species using primer mixes specific to Candida DNA topoisomerase II genes.

For rapid identification of Candida to the species level, degenerated primers and specific primers based on the genomic sequences of DNA topoisomerase II of C. albicans, C. dubliniensis, C. tropicalis (genotypes I and II), C. parapsilosis (genotypes I and II), C. krusei, C. kefyr, C. guilliermondii, C. glabrata, C. lusitaniae and Y. lipolytica were designed and their specificities tested in PCR-based identifications. Each of the specific primers selectively and exclusively amplified its own DNA fragment, not only from the corresponding genomic DNA of the Candida sp. but also from DNA mixtures containing other DNAs from several fungal species. For a simpler PCR-based identification, the specific primers were divided into three groups (PsI, PsII and PsIII), each of which contained four specific primer pairs. PCR with the primer mixes yielded four different sizes of PCR product, corresponding to each Candida sp. in the sample DNA. To obtain higher sensitivity of PCR amplification, sample DNAs were preamplified by the degenerated primer pair (CDF28/CDR148), followed by the main amplification using the primer mixes. By including this nested PCR step, 40 fg yeast genomic DNA was detected in the sample. Furthermore, we applied this nested PCR to a clinical diagnosis, using splenic tissues from experimentally infected mice and several clinical materials from patients. In all cases, the nested PCR amplifications detected proper DNA fragments of Candida spp., which were also identified by the standard identification tests. These results suggest that nested PCR, using primer mixes of the Candida DNA topoisomerase II genes, is simple and feasible for the rapid detection/identification of Candida to species level in clinical materials.

Animals↗

Rapid protein identification using N-terminal "sequence tag" and amino acid analysis.

Proteins can be identified by amino acid analysis and database matching, but it is often desirable to increase the confidence in identity through the use of other techniques. Here we describe a rapid protein identification method that uses Edman degradation to create a 3 or 4 amino acid N-terminal "sequence tag," following which proteins are subjected to amino acid analysis protein identification procedures. Edman degradation methods have been modified to take only 23 min per cycle, and rapid amino acid analysis techniques are used. The Edman degradation and amino acid analysis is done on a single PVDF membrane-bound protein sample. A computer database matching program is also presented which uses both amino acid composition and "sequence tag" data for protein identification. This method represents the most inexpensive, accurate, and rapid means of protein identification, which is ideal for the screening of proteomes separated by 2-D gel electrophoresis. The creation of N-terminal Edman degradation "sequence-tags" prior to peptide mass fingerprinting of samples should also be useful.

Amino Acid Sequence↗

The Relative Contributions of Word Identification Skill and Comprehension-Monitoring Behavior to Reading Comprehension Ability.

Ninety-five fourth-grade children completed measures of reading comprehension, word identification, and several aspects of comprehension-monitoring behavior. Correlations indicated that word identification was the strongest predictor of reading comprehension. However, hierarchical regression analysis indicated that after the effects of word identification were partialed, comprehension-monitoring behavior explained significant additional variability in reading comprehension. Subgroup analysis indicated that the effect of comprehension-monitoring behavior was strongest among those students whose word-analysis skills were less well developed. Results were interpreted as suggesting that comprehension-monitoring strategies can be used to compensate for weaknesses in word-identification skills. Copyright 2000 Academic Press.

Journal Article↗

Bacterial species identification after DNA amplification with a universal primer pair.

The diagnosis of bacterial infections can be difficult and time consuming. Rapid and reliable molecular triage of potentially infected patients, particularly the young and the elderly, would prevent unnecessary hospitalizations, reduce associated medical costs, and improve the quality of care. Polymerase chain reaction (PCR) amplification utilizing a universal bacterial primer pair, followed by hybridization with species-specific probes, would allow rapid identification of the presence or absence of bacterial DNA, along with an identification of the bacterial species present. Molecular microbiological analyses will require access to bacterial strain standards that can be catalogued and distributed to clinical laboratories. We amplified template DNA in filter paper spots containing boiled bacteria from 14 clinical isolates using a universal primer pair for the 16S ribosomal RNA (rDNA) coding sequence. Species-specific probes were hybridized to the amplification products for bacterial species identification. We conclude that template DNA can be identified with species-specific probes after universal bacterial amplification with a single primer pair. We also demonstrate a rapid and efficient method for the long-term storage and cataloguing of bacterial DNA for use in quality control at clinical laboratories adopting molecular diagnostic methodologies. We speculate that PCR amplification combined with species-specific probe hybridization not only will represent an improvement over culture-based methods in terms of speed, sensitivity, and cost, but will also allow for the identification of unculturable bacteria and emerging or reemerging pathogenic organisms.

Bacterial Typing Techniques↗

The alcohol use disorders identification test: an aid to recognition of alcohol problems in primary care patients.

BACKGROUND: Misuse of alcohol is associated with a range of medical problems. Fortunately, a simple pencil-and-paper measure, the Alcohol Use Disorders Identification Test, can effectively and efficiently screen for early-stage alcohol abuse as well as provide the physician information that can assist in brief intervention. OBJECTIVE: The objective of this article is to briefly summarize research published on the Alcohol Use Disorders Identification Test and suggest its potential role in brief intervention in primary care settings. METHODS: Scientific literature on the Alcohol Use Disorders Identification Test though 2000 was reviewed and synthesized to address issues relevant to use of the test in primary health care settings. RESULTS: The Alcohol Use Disorders Identification Test is quite sensitive and specific and compares favorably with alternative self-report screens for alcohol problems.

Aged↗

Isolation and rapid identification of yeasts from compromised hosts.

In order to improve the isolation and identification of yeasts in a cancer research hospital, a protocol was developed utilizing an improved blood culture methodology and a four-test schema for rapid yeast identification. The blood culturing technique, based upon centrifugation, has shown a ten-fold increase in isolation of fungi from blood and has provided for: quantitation or organisms, unlimited selection of media and atmospheres for primary culturing, and a 1:200 dilution of microorganisms away from serum antimicrobial factors and antibiotics. The four-test schema, which may be adapted for the identification of any unknown yeast in pure culture, consists of a dye pour plate auxanogram (DPPA), Tween 80-Oxgall-Caffeic acid (TOC), a rapid nitrate-reductase test (swab test) and Urea 'R' Broth. Using this protocol, over 95% of the clinical isolates received were correctly identified within 24 hours and 100% by 48 hours. By using DPPA, a 14 sugar assimilation pattern for each isolate was determined within 12 to 16 hours; and in some cases, as little as 6 hours. Growth on TOC yielded one of the following results: (1) Candida albicans and Candida stellatoidea sequentially produced germ tubes and chlamydospores in 3 hours and 24 hours, respectively; (2) Cryptococcus neoformans produced a brown pigment specific for its identification in 12 hours or less. The swab test gave results on nitrate utilization in less than 15 minutes and urease was detected within 4 hours.

Blood↗

The influence of visual field disorders on visual identification tasks.

Visual identification of shapes, figures, objects and faces was tested in a group of 26 patients with homonymous field defects due to unilateral "posterior" brain damage. In addition, a search test was used for evaluation of the effect of visual field loss on visual information acquisition. Of the patients, 5 performed entirely normally, i.e. errorless and within age-matched time limits, in all tests. The majority of patients (n = 15) also performed correctly but required significantly more time than normals. In contrast, 6 patients showed a rather specific impairment in visual identification tasks. It is argued that visual field loss per se does not impair visual identification but may affect visual search and, thus, information acquisition. Visual identification may be impaired, however, if brain damage involves the inferotemporal cortex.

Adult↗

The identification of alcohol problems: socioeconomic status differences in social norms and causal attributions.

It was hypothesized that the identification of abnormal behavior requires an internal causal attribution for actions that violate shared social norms. It was further hypothesized that socioeconomic status (SES) groups would differ in problem identification, due to differences in their norms and causal attribution biases. Attributions of causality for alcohol use and inferences of an alcohol problem were examined in socioeconomically different communities that differed in their social norms for alcohol consumption. For all respondents problem identification required that alcohol use be attributed to causes internal to the person. However, the lower SES sample was generally biased toward attributing alcohol use to external causes, in contrast to an "internal" bias among higher SES respondents. The latter were also more sensitive to norm violations in their problem identification. These differences led higher SES respondents to more readily identify an alcohol problem.

Adult↗

Numerical deconvolution using system identification methods.

A deconvolution method is presented for use in pharmacokinetic applications involving continuous models and small samples of discrete observations. The method is based on the continuous-time counterpart of discrete-time least squares system identification, well established in control engineering. The same technique, requiring only the solution of a linear regression problem, is used both in system identification and input identification steps. The deconvolution requires no a priori information, since the proposed procedure performs system identification (including optimal selection of model order), selects the form of the input function and calculates its parametric representation and its values at specified time points.

Models, Biological↗