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At least 343 records · Page 19Linked to original sources
PubMed2005

Identification of recently handled materials by analysis of latent human fingerprints using infrared spectromicroscopy.

Analysis of fingerprints has predominantly focused on matching the pattern of ridges to a specific person as a form of identification. The present work focuses on identifying extrinsic materials that are left within a person's fingerprint after recent handling of such materials. Specifically, we employed infrared spectromicroscopy to locate and positively identify microscopic particles from a mixture of common materials in the latent human fingerprints of volunteer subjects. We were able to find and correctly identify all test substances based on their unique infrared spectral signatures. Spectral imaging is demonstrated as a method for automating recognition of specific substances in a fingerprint. We also demonstrate the use of attenuated total reflectance (ATR) and synchrotron-based infrared spectromicroscopy for obtaining high-quality spectra from particles that were too thick or too small, respectively, for reflection/absorption measurements. We believe the application of this rapid, nondestructive analytical technique to the forensic study of latent human fingerprints has the potential to add a new layer of information available to investigators. Using fingerprints to not only identify who was present at a crime scene, but also to link who was handling key materials, will be a powerful investigative tool.

Ascorbic Acid↗
PubMed1996

[Identification and classification of strains of microorganisms using genomic fingerprinting with biotinylated phage M13 DNA].

To analyze DNA polymorphisms of various bacterial strains, a nonradioactive variant of the genomic fingerprinting method was developed. The method was based on the application of biotin-labeled single-stranded phage M13 DNA as a probe. Characteristic patterns of fingerprints obtained by MvaI, HaeIII, and HinfI restriction enzymes are presented for several species of bacilli and other bacteria. The advantages of this method in microbiology for the identification and characterization of different microbial strains are shown.

Bacillus↗
PubMed1991

Polymorphisms generated by arbitrarily primed PCR in the mouse: application to strain identification and genetic mapping.

Polymorphisms in genomic fingerprints generated by arbitrarily primed PCR (AP-PCR) can distinguish between strains of almost any organism. We applied the technique to the mouse (Mus musculus). The characteristic differences in the AP-PCR genomic fingerprints between strains will be of value in strain identification and verification. Using one primer, we genetically mapped four polymorphisms in a set of C57BL/6J x DBA/2J recombinant inbreds. One of these polymorphisms is a length variant. The method will allow rapid genetic mapping of DNA polymorphisms without Southern blotting.

Animals↗
PubMed2004

Comparative proteomics of human endothelial cell caveolae and rafts using two-dimensional gel electrophoresis and mass spectrometry.

The human endothelial cell plasma membrane harbors two subdomains of similar lipid composition, caveolae and rafts, both crucially involved in various essential cellular processes like transcytosis, signal transduction and cholesterol homeostasis. Caveolin-enriched membranes, isolated by either cationic silica or buoyant density methods, were explored by comparing large series of two-dimensional (2-D) maps and subsequent identification of over 100 protein spots by matrix-assisted laser desorption/ionization (MALDI) peptide mass fingerprinting. Improved representation and identification of membrane proteins and valuable information on various post-translational modifications was achieved by the presented optimized procedures for solubilization, destaining and database searching/computing. Whereas the cationic silica purification yielded predominantly known endoplasmic reticulum residents, the cold-detergent method yielded a large number of known caveolae residents, including caveolin-1. Thus, a large part of this subproteome was established, including known (trans-)membrane, signal transduction and glycosyl phosphatidylinositol (GPI)-anchored proteins. Several predicted proteins from the human genome were isolated for the first time from biological samples, including SGRP58, SLP-2, C8ORF2, and XRP-2. These findings and various optimized procedures can serve as a reference to study the differential composition of endothelial cell caveolae and rafts, known to be involved in pathologies like cancer and cardiovascular disease.

Blood Proteins↗
PubMed1991

Identification of markers associated with quantitative trait loci in chickens by DNA fingerprinting.

Three approaches for identifying VNTR alleles associated with quantitative traits in chickens are described. One approach is based on the comparison of well-defined selected and non-selected control strains. The second approach is based on analyzing chickens within a breeding population ranked according to specific traits and the third approach involves segregation analysis. In this latter approach a large number of offspring of a single male segregating for a quantitative trait are produced and tested for trait association of the male DNA fingerprinting bands. In all cases pooled DNA samples of birds, rather than individual samples, are analyzed and band intensity is assumed to reflect the relative frequency of an allele. Examples from the literature and from our laboratory indicate that these methods permit the identification of DNA fingerprinting bands associated with quantitative traits. After developing locus-specific probes for these bands it should ultimately be possible to detect and map quantitative trait loci.

Animals↗
PubMed2006

Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

BACKGROUND: We investigated the potential of proteomic fingerprinting with mass spectrometric serum profiling, coupled with pattern recognition methods, to identify biomarkers that could improve diagnosis of tuberculosis. METHODS: We obtained serum proteomic profiles from patients with active tuberculosis and controls by surface-enhanced laser desorption ionisation time of flight mass spectrometry. A supervised machine-learning approach based on the support vector machine (SVM) was used to obtain a classifier that distinguished between the groups in two independent test sets. We used k-fold cross validation and random sampling of the SVM classifier to assess the classifier further. Relevant mass peaks were selected by correlational analysis and assessed with SVM. We tested the diagnostic potential of candidate biomarkers, identified by peptide mass fingerprinting, by conventional immunoassays and SVM classifiers trained on these data. FINDINGS: Our SVM classifier discriminated the proteomic profile of patients with active tuberculosis from that of controls with overlapping clinical features. Diagnostic accuracy was 94% (sensitivity 93.5%, specificity 94.9%) for patients with tuberculosis and was unaffected by HIV status. A classifier trained on the 20 most informative peaks achieved diagnostic accuracy of 90%. From these peaks, two peptides (serum amyloid A protein and transthyretin) were identified and quantitated by immunoassay. Because these peptides reflect inflammatory states, we also quantitated neopterin and C reactive protein. Application of an SVM classifier using combinations of these values gave diagnostic accuracies of up to 84% for tuberculosis. Validation on a second, prospectively collected testing set gave similar accuracies using the whole proteomic signature and the 20 selected peaks. Using combinations of the four biomarkers, we achieved diagnostic accuracies of up to 78%. INTERPRETATION: The potential biomarkers for tuberculosis that we identified through proteomic fingerprinting and pattern recognition have a plausible biological connection with the disease and could be used to develop new diagnostic tests.

Adolescent↗
PubMed2004

[Identification of the resource suspected sperm by DNA fingerprinting].

OBJECTIVE: To identify the resource suspected sperm of donor in human sperm bank and apply the parentage testing between the donor and his offspring. METHODS: We took the 6 semen specimen of the donor involved and correspondently suspected semen as well as the semen of one volunteer and peripheral blood of his offspring. All specimens were amplified by PCR, and DNA fingerprint was detected by PAGE electrophoresis. RESULTS: By DNA fingerprinting we discovered that the 5 suspected sperm samples came from corresponding donors and the other sample from another. The volunteer and his offspring were identified as consanguinity. CONCLUSION: We can identify the difference between sperm of donors and the suspected sperm of donors, and sperm of donors and the peripheral blood of their offspring exactly by DNA fingerprinting.

Adult↗
PubMed1995

Identification and classification of Neisseria gonorrhoeae by RAPD fingerprinting.

Using the RAPD method, we identified and classified Neisseria gonorrhoeae on the basis of the DNA level. Except OPG20 the other 19 primers of OPG arbitrary primer kit showed informative arrays of amplified prominent segments. Most of the segments were common to all three Neisseria gonorrhoeae groups; some segments were amplified from two groups or only one group so that the fingerprint maps of different Neisseria gonorrhoeae groups were distinctive. Based on these findings, i.e. on the genomic level, we can classify the three Neisseria gonorrhoeae groups. Using OPG10 and OPG11 to amplify the five Neisseria species, we found marked diversity among them, which made it easy for us to identify Neisseria gonorrhoeae from four other Neisseria species. The use of the RAPD method needs some special reaction conditions, e.g. annealing temperature that should not be too low or too high and should be consistently stable. The quality of Taq polymerase is also very important. The reproducibility of the results under these conditions was very good.

Base Sequence↗
PubMed2006

Diagnosis of ectopic tissue versus contamination by genetic fingerprinting in a routine surgical pathology specimen.

A 62-year-old woman presented with recurring right upper quadrant pain and underwent a routine laparoscopic cholecystectomy. A large gallstone was found impacted in the fundus of the gall bladder. Interestingly, aside from noting mild inflammation of the gall bladder wall, microscopic examination of the specimen identified 2 fragments of benign thyroid tissue. Given the routine nature of the surgical procedure and lack of abnormality detected during the operation, the attending pathologist suspected extraneous tissue contamination ("floater") of the pathology specimen and submitted the block and slides to Molecular Pathology. The thyroid tissue-containing fragments and gallbladder wall were independently isolated and subjected to genetic fingerprinting using a standard forensic DNA identification panel. All fragments showed the identical fingerprint, strongly suggesting that they belonged to the same patient. The results indicated that the thyroid tissue was from an ectopic rest adjacent to the gall bladder, which has been reported only very rarely in the previous literature and illustrates the unusual use of molecular genetic testing to confirm the presence of ectopic tissue versus contamination.

Choristoma↗
PubMed2000

Automatic poisson peak harvesting for high throughput protein identification.

High throughput identification of proteins by peptide mass fingerprinting requires an efficient means of picking peaks from mass spectra. Here, we report the development of a peak harvester to automatically pick monoisotopic peaks from spectra generated on matrix-assisted laser desorption/ionisation time of flight (MALDI-TOF) mass spectrometers. The peak harvester uses advanced mathematical morphology and watershed algorithms to first process spectra to stick representations. Subsequently, Poisson modelling is applied to determine which peak in an isotopically resolved group represents the monoisotopic mass of a peptide. We illustrate the features of the peak harvester with mass spectra of standard peptides, digests of gel-separated bovine serum albumin, and with Escherictia coli proteins prepared by two-dimensional polyacrylamide gel electrophoresis. In all cases, the peak harvester proved effective in its ability to pick similar monoisotopic peaks as an experienced human operator, and also proved effective in the identification of monoisotopic masses in cases where isotopic distributions of peptides were overlapping. The peak harvester can be operated in an interactive mode, or can be completely automated and linked through to peptide mass fingerprinting protein identification tools to achieve high throughput automated protein identification.

Animals↗
PubMed1997

Identification of pathogenic yeasts of the imperfect genus Candida by polymerase chain reaction fingerprinting.

With the increase in the number of immunocompromised hosts, the number of fungal pathogens has increased markedly. Identification and classification, especially of yeast species and strains, is often difficult when based solely on phenotypic characteristics. Since it became clear that different fungal pathogens require specific treatment strategies, there is a need for simple, rapid and reliable methods to identify fungal isolates. Polymerase chain reaction (PCR) fingerprinting was successfully applied here to identify yeast isolates. Microsatellite [(GTG)5; (GACA)4] and minisatellite [(5'GAGGGTGGCGGTTCT 3'), derived from the core-sequence of the phage M13] specific primers were used as single primers in the PCR to amplify hypervariable interrepeat DNA sequences from over 200 European, American and Australian clinical isolates within the genus Candida. Each species, represented by its type strain, could be identified by a specific multilocus pattern, allowing for the assignment of all the isolates to the appropriate species. Intra-species variation in the multilocus profiles was about 20% compared to inter-species variation, which was up to 80%. Anamorph-teleomorph pairs could be identified by highly homologous PCR fingerprint patterns. PCR fingerprinting was more discriminatory when compared with routinely used biochemical tests (Vitek YBC and API ID 32C). PCR fingerprinting has proven to be a powerful tool for the identification of medically important yeasts. It is rapid, sensitive, reliable, highly reproducible, stable in vitro and in vivo, and applicable to large scale experiments. Potential applications include: yeast taxonomy, epidemiology, environmental surveys, and improvement of the diagnosis of mycotic diseases.

Australia↗
PubMed2007

Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.

Protein identification via peptide mass fingerprinting (PMF) remains a key component of high-throughput proteomics experiments in post-genomic science. Candidate protein identifications are made using bioinformatic tools from peptide peak lists obtained via mass spectrometry (MS). These algorithms rely on several search parameters, including the number of potential uncut peptide bonds matching the primary specificity of the hydrolytic enzyme used in the experiment. Typically, up to one of these "missed cleavages" are considered by the bioinformatics search tools, usually after digestion of the in silico proteome by trypsin. Using two distinct, nonredundant datasets of peptides identified via PMF and tandem MS, a simple predictive method based on information theory is presented which is able to identify experimentally defined missed cleavages with up to 90% accuracy from amino acid sequence alone. Using this simple protocol, we are able to "mask" candidate protein databases so that confident missed cleavage sites need not be considered for in silico digestion. We show that that this leads to an improvement in database searching, with two different search engines, using the PMF dataset as a test set. In addition, the improved approach is also demonstrated on an independent PMF data set of known proteins that also has corresponding high-quality tandem MS data, validating the protein identifications. This approach has wider applicability for proteomics database searching, and the program for predicting missed cleavages and masking Fasta-formatted protein sequence databases has been made available via http:// ispider.smith.man.ac uk/MissedCleave.

Algorithms↗
PubMed2001

Matrix-assisted laser desorption/ionization time of flight mass spectrometry peptide mass fingerprints and post source decay: a tool for the identification and analysis of phloem proteins from Cucurbita maxima Duch. separated by two-dimensional polyacrylamide gel electrophoresis.

A combination of gel electrophoresis and mass spectrometry was used to analyze the soluble proteins from phloem sap of Cucurbita maxima Duch. Phloem proteins were separated using two-dimensional gel electrophoresis. Coomassie-stained spots were cut out and subjected to tryptic digestion. To identify proteins, peptide mass fingerprints were determined by matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry. In addition, MALDI-TOF post source decay measurements were used to obtain partial sequence information for the proteins. Results from both approaches were used for database searches. In this study, 17 proteins in the mass range 5-50 kDa were analyzed. Of these proteins six could be clearly identified, seven showed significant homologies to known plant proteins, and four were not significantly homologous to database entries. The present study suggests that the applied method is feasible for a large-scale analysis and identification of phloem proteins derived from different organs or from plants kept under various physiological conditions.

Amino Acid Sequence↗