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At least 217 records · Page 12Linked to original sources

[Identification on Herba Hedyotidis by X-ray diffraction Fourier fingerprint pattern method].

OBJECTIVE: To establish a new identification and analysis method of Herba Hedyotidis. METHOD: Powder X-Ray diffraction fourier fingerprint pattern method. RESULT: Experiment and analysis were carried out on eight samples. The standard X-Ray diffraction fourier fingerprint pattern method and characteristic diffraction peaks of Herba Hedyotidis were obtained. CONCLUSION: This method can be used for the identification of Herba Hedyotidis.

Drug Contamination↗

Identification and quality assessment of Houttuynia cordata injection using GC-MS fingerprint: a standardization approach.

Houttuynia cordata (Saururaceae) injection (HCI) was widely used to treat disease in China. At present, there were about 40 factories producing HCI, but a good quality standard for its quality control was lacking. In this study, an optimized and validated gas chromatography-mass spectrum (GC-MS) method was applied for the fingerprint analysis of 340 batches of HCI from 34 Chinese pharmaceutical factories. The results showed that HCI from the same factory had very similar GC-MS fingerprints, and evident difference existed among different factories. The representative fingerprints from 20 factories whose intra-factory correlation coefficients were over 0.90 and inter-factory correlation coefficients were over 0.75 were used to calculate the mean fingerprint of all samples. Spectral correlative chromatogram (SCC) was adopted to identify common component in different samples. Fifteen main "common components" were obtained. The mean fingerprint containing those 15 components was suggested to be used as characteristic fingerprint for the rapid identification of HCI and evaluation of the consistency of HCI from factory to factory and from batch to batch.

Drugs, Chinese Herbal↗

Comparative analysis of polychlorinated biphenyl-dechlorinating communities in enrichment cultures using three different molecular screening techniques.

The catalysts for many microbially mediated environmental processes such as the dechlorination of polychlorinated biphenyls (PCBs) have been difficult to identify by traditional isolation techniques. Numerous, as yet unsuccessful, attempts have been made to isolate and culture the dechlorinating species. To overcome this limitation, amplified rDNA restriction analysis (ARDRA) of a clone library, denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (TRFLP) were used concurrently to compare their effectiveness for characterizing an enriched microbial community. These methods were applied to enrichment cultures that selectively dechlorinated double-flanked chlorines in the PCB congener 2,3,4,5 chlorinated biphenyl. The methods have different biases, which were apparent from discrepancies in the relative clone frequencies (ARDRA), band intensities (DGGE) or peak heights (TRFLP) from the same enrichment culture. However, each method was effectively qualitative and identified the same organisms: a low G + C Gram-positive eubacterium, an organism most similar to the green non-sulphur bacteria, an Aminobacterium sp. and a Desulfovibrio sp. Overall, in community fingerprinting and preliminary identification, DGGE proved to be the most rapid and effective tool for the monitoring of microorganisms within a highly enriched culture. TRFLP results corroborated DGGE fingerprint analysis; however, identification required the additional step of creating a clone library. ARDRA provided an in-depth analysis of the community and this technique detected slight intraspecies sequence variation in 16S rDNA. These molecular methods are common in environmental microbiology, but rarely are they compared with the same sample site or culture. In general, all three methods detected similar community profiles, but inherent biases resulted in different detection limits for individual OTUs (operational taxonomic units).

Ampicillin↗

HybGFS: a hybrid method for genome-fingerprint scanning.

BACKGROUND: Protein identification based on mass spectrometry (MS) has previously been performed using peptide mass fingerprinting (PMF) or tandem MS (MS/MS) database searching. However, these methods cannot identify proteins that are not already listed in existing databases. Moreover, the alternative approach of de novo sequencing requires costly equipment and the interpretation of complex MS/MS spectra. Thus, there is a need for novel high-throughput protein-identification methods that are independent of existing predefined protein databases. RESULTS: Here, we present a hybrid method for genome-fingerprint scanning, known as HybGFS. This technique combines genome sequence-based peptide MS/MS ion searching with liquid-chromatography elution-time (LC-ET) prediction, to improve the reliability of identification. The hybrid method allows the simultaneous identification and mapping of proteins without a priori information about their coding sequences. The current study used standard LC-MS/MS data to query an in silico-generated six-reading-frame translation and the enzymatic digest of an entire genome. Used in conjunction with precursor/product ion-mass searching, the LC-ETs increased confidence in the peptide-identification process and reduced the number of false-positive matches. The power of this method was demonstrated using recombinant proteins from the Escherichia coli K12 strain. CONCLUSION: The novel hybrid method described in this study will be useful for the large-scale experimental confirmation of genome coding sequences, without the need for transcriptome-level expression analysis or costly MS database searching.

Algorithms↗

Repetitive-sequence-PCR-based DNA fingerprinting using the Diversilab system for identification of commonly encountered dermatophytes.

The performance of repetitive-sequence-based PCR (rep-PCR) using the DiversiLab system for identification of dermatophytes commonly isolated in a clinical laboratory was assessed by comparing results to those of conventional tests (colony morphology, microscopic examination of slide cultures, and, for suspected Trichophyton species, use of additional media). Sixty-one cultures were tested in phase 1, the feasibility portion of the study; 64 additional cultures were tested in phase 2, the validation portion conducted to assess reproducibility and confirm accuracy. Discrepancies were resolved by repeating rep-PCR and conventional tests and, in phase 2, sequencing the internal transcribed spacers. After initial testing of the cultures in phase 1 (excluding one contaminated culture), agreement between conventional tests and rep-PCR was 90% (54 of 60). Agreement was 98.3% after resolution of discrepancies, and in all but one case the initial rep-PCR result was correct. After initial testing of cultures in phase 2 (excluding one discarded and one contaminated culture), agreement between rep-PCR and conventional testing was 88.7% (55 of 62). After discrepancies were resolved, agreement was 100%. Initial rep-PCR results were correct, except for one Microsporum canis culture containing two colony variants, which could not be initially identified by rep-PCR. The performance of the DiversiLab system for identification of the dermatophytes commonly encountered in a clinical mycology laboratory-Trichophyton mentagrophytes, Trichophyton rubrum, Trichophyton tonsurans, and M. canis-was excellent. Moreover, the DiversiLab system is technically simple and provides results in < 24 h once a pure culture is available for testing, which is considerably more rapid than conventional identification tests.

Arthrodermataceae↗

Genetic basis of enterobacterial repetitive intergenic consensus (ERIC)-PCR fingerprint pattern in Sinorhizobium meliloti and identification of S. meliloti employing PCR primers derived from an ERIC-PCR fragment.

The enterobacterial repetitive intergenic consensus (ERIC)-PCR method was employed to generate genomic amplification products of Sinorhizobium meliloti strain 2011. Eleven distinctive PCR fragments obtained in PCR reactions by using the ERIC2 primer were cloned and their partial or complete nucleotide sequences established. DNA sequences that extended past the ERIC2 primer region were not conserved among the 11 PCR fragments and showed no sequence similarity to the enterobacterial ERIC consensus sequence. Thus, repetitive ERIC or ERIC-like sequences seem not to be an integral part of the S. meliloti genome. An amplification product of S. meliloti 2011 was identified which was present in S. meliloti strains but absent in other rhizobial species. Based on the nucleotide sequence information, a pair of PCR primers was designed and used for PCR amplification of sequences of S. meliloti laboratory strains 2011, L5-30, AK631 and 102F34. Nucleotide sequence analysis of the amplification products revealed a 100% DNA sequence conservation. Database searches showed that the DNA fragment putatively encodes the C-terminal part of a protein displaying similarity to 2-hydroxyacid dehydrogenases of various organisms. The newly designed PCR primers should be useful for the rapid identification of S. meliloti isolates.

Base Sequence↗

[Identification on Spora Lygodii by X-ray diffraction fingerprint spectra method].

OBJECTIVE: To set up a new identification and analysis method of Spora Lygodii. METHOD: To get the extracts of Spora Lygodii using methanol, chloroform and petroleum ether as solvent and the extracts were identified, analyzed by X-ray diffraction Fourier fingerprint spectra. RESULTS: Experiments and analysis were carried out on three samples. The standard X-ray diffraction Fourier fingerprint spectra and characteristic diffraction peaks were obtained. There were some differences among the spectra of the extracts, but the characteristic diffraction peaks were obvious. CONCLUSION: The experimental result indicated that X-ray diffraction Fourier fingerprint spectra can be used to identify and analyze the Chinese traditional herb Lygodium japonicum (Thunb.) Sw.

Ferns↗

Fingerprint analysis of bovine hypothalamic preprosomatostatin. Identification of somatostatin-28 at the C terminus.

Messenger RNA from bovine hypothalami was used to direct the synthesis in vitro of a precursor to somatostatin (SRIF) of Mr 15,500. Specific antibodies, raised against the chemically synthesized tetradecapeptide SRIF-14, were used for the preliminary characterization. The radioactively labelled preprosomatostatin was then cleaved by trypsin or cyanogen bromide and the products were assayed by two-dimensional fingerprinting techniques. The results conclusively demonstrated the presence of the tetradecapeptide SRIF-14 sequence and its naturally occurring N-terminally extended form, SRIF-28. This 28-amino-acid sequence was shown to occupy the C terminus of the 15,500-dalton precursor and is probably preceded by basic amino acid(s).

Amino Acid Sequence↗

Gene expression fingerprint of uterine serous papillary carcinoma: identification of novel molecular markers for uterine serous cancer diagnosis and therapy.

Uterine serous papillary cancer (USPC) represents a rare but highly aggressive variant of endometrial cancer, the most common gynecologic tumour in women. We used oligonucleotide microarrays that interrogate the expression of some 10 000 known genes to profile 10 highly purified primary USPC cultures and five normal endometrial cells (NEC). We report that unsupervised analysis of mRNA fingerprints readily distinguished USPC from normal endometrial epithelial cells and identified 139 and 390 genes that exhibited >5-fold upregulation and downregulation, respectively, in primary USPC when compared to NEC. Many of the genes upregulated in USPC were found to represent adhesion molecules, secreted proteins and oncogenes, such as L1 cell adhesion molecule, claudin-3 and claudin-4, kallikrein 6 (protease M) and kallikrein 10 (NES1), interleukin-6 and c-erbB2. Downregulated genes in USPC included SEMACAP3, ras homolog gene family, member I (ARHI), and differentially downregulated in ovarian carcinoma gene 1. Quantitative RT-PCR was used to validate differences in gene expression between USPC and NEC for several of these genes. Owing to its potential as a novel therapeutic marker, expression of the high-affinity epithelial receptor for Clostridium perfringens enterotoxin (CPE) claudin-4 was further validated through immunohistochemical analysis of formalin-fixed paraffin-embedded specimens from which the primary USPC cultures were obtained, as well as an independent set of archival USPC specimens. Finally, the sensitivity of primary USPC to the administration of scalar doses of CPE in vitro was also demonstrated. Our results highlight the novel molecular features of USPC and provide a foundation for the development of new type-specific therapies against this highly aggressive variant of endometrial cancer.

Aged↗

Fingerprinting method for phylogenetic classification and identification of microorganisms based on variation in 16S rRNA gene sequences.

The paper describes a method for the classification and identification of microorganisms based on variations in 16S rRNA sequences. The 16S rRNA is one of the most conserved molecules within a cell. The nature of the variable and spacer regions has been found to be specific to a given organism. Thus, the method presented here can be very useful for the classification and identification of microorganisms for which very little information is available. To automate the method, a comprehensive computer program called FPMAP has been developed for the analysis of restriction fragment pattern data. The method involves the restriction digestion of genomic DNA, preferably using four-cutters that may recognize 6-9 sites within the 16S rDNA. The fragments are separated on a polyacrylamide gel along with a suitable marker, then transferred into a nylon membrane and hybridized with a radiolabeled 16S rDNA probe. After autoradiography, the fragment sizes are calculated, and the data are analyzed using the FPMAP software. We demonstrate that the method can be used for identification of strains of Streptomyces and mycobacteria. The software is available from our ftp site ftp:¿imtech.chd.nic.in/pub/com/fpmap/unix/.

Autoanalysis↗

Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification.

RATIONALE AND OBJECTIVES: The purpose of this study was to demonstrate the potential usefulness of "biological fingerprints" in chest radiographs for automated patient recognition and identification. MATERIALS AND METHODS: Thoracic fields, cardiac shadows, the superior mediastinum, lung apices, a part of the right lung, and the right lower lung that includes the costophrenic angle were used as biological fingerprints in chest radiographs. Each of the biological fingerprints in a current chest radiograph was used as a template for determination of the correlation value with the corresponding biological fingerprint in a previous chest radiograph for patient recognition and identification. The overall performance of the method developed was examined in terms of receiver operating characteristic curves. RESULTS: Receiver operating characteristic curves obtained with different biological fingerprints, except for the part of the right lung, indicated a high performance in identifying patients. These results showed that a new concept of biological fingerprints in radiologic images would be useful in patient recognition and identification. The low performance with the part of the right lung seems to be related to a general observation that this region does not usually include features unique to a specific patient. The performance of the artificial neural networks by use of a combination of five biological fingerprints was higher than results obtained with each biological fingerprint. CONCLUSION: The use of automated patient identification based on biological fingerprints in chest radiographs is promising for helping to discover misfiled patient images, especially in a picture archiving and communication system environment.

Dermatoglyphics↗

Mini-fingerprints for virtual screening: design principles and generation of novel prototypes based on information theory.

Binary fingerprint representations of molecular structure and properties are convenient computational tools for similarity searching in compound databases and virtual screening (VS). We are investigating the design of relatively simple fingerprints for the identification of molecules having similar biological activity and recognition of remote similarity relationships. Since our designs are considerably shorter than other fingerprints used in VS, we have previously termed them "mini-fingerprints" (MFPs). A key aspect of the design strategy is the identification of suitable molecular descriptors. Whereas our initial fingerprint designs have relied on descriptor combinations that performed well in compound classification according to biological activity, second generation MFPs encode combinations of descriptors with high information content in large compound databases and high frequency of occurrence in drug-like molecules. Thus, the design of these new fingerprints does not depend on the analysis of specific classes of bioactive compounds, but rather on descriptor information content in large compound databases. Systematic evaluation of fingerprint performance in VS test calculations demonstrates that these new prototypes perform better than previously generated MFPs. The analysis described herein provides an example for the development of search tools for VS.

Environmental Pollutants↗

Suppression of matrix clusters and enhancement of peptide signals in MALDI-TOF mass spectrometry using nitrilotriacetic acid.

Matrix clusters and their alkali metal ion adducts suppress peptide signals in the 500-1400 Da range and compromise MALDI-TOF mass spectrometric peptide mass fingerprinting and protein identification. Addition of 7 mM nitrilotriacetic acid to the matrix solution significantly reduced matrix clusters and increased signal-to-noise ratio of peptide signals approximately 5 to 20-fold. As a result, reliability in the identification of femtomole amounts of proteins based on peptide mass fingerprinting and database search was significantly enhanced, leading to a higher score and sequence coverage.

Chelating Agents↗

Identification and strain differentiation of 'Bacteroides fragilis group' species and Prevotella bivia by PCR fingerprinting.

Using single consensus primers of genomic nucleotide sequences, PCR-generated fingerprints were used for identification and differentiation of the Bacteroides fragilis group (B. fragilis, B. thetaiotaomicron, B. ovatus, B. distasonis, B. vulgatus) and Prevotella bivia (B. bivius) by comparing the DNA profiles with those of reference strains from the American Type Culture Collection and German Culture Collection. When primed by a single primer phage M13 core sequence, intra-species specific differences and species-specific bands were detected. Using primers derived from the evolutionarily conserved tRNA gene sequence, species-specific patterns were produced. A computer program, GelManager, was used to analyze the profiles and generate dendrograms. The correlation coefficients determined from the DNA fingerprint profiles of the clinical isolates (using the M13 core primer) fell within a narrow range, reflecting a high level of homology within the species. Based on the dendrograms, strains of one species were clearly differentiated from strains of other species. For comparison, SDS-PAGE analysis of whole cell extracts was also performed to obtain protein band patterns of various strains. Because of the simplicity of the PCR fingerprinting method and the ease of performance of computerized evaluation of data, this technique is a useful method for both species and strain differentiation, as well as for characterization of Bacteroides species and Prevotella bivia.

Journal Article↗

Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting.

UNLABELLED: A set of new algorithms and software tools for automatic protein identification using peptide mass fingerprinting is presented. The software is automatic, fast and modular to suit different laboratory needs, and it can be operated either via a Java user interface or called from within scripts. The software modules do peak extraction, peak filtering and protein database matching, and communicate via XML. Individual modules can therefore easily be replaced with other software if desired, and all intermediate results are available to the user. The algorithms are designed to operate without human intervention and contain several novel approaches. The performance and capabilities of the software is illustrated on spectra from different mass spectrometer manufacturers, and the factors influencing successful identification are discussed and quantified. MOTIVATION: Protein identification with mass spectrometric methods is a key step in modern proteomics studies. Some tools are available today for doing different steps in the analysis. Only a few commercial systems integrate all the steps in the analysis, often for only one vendor's hardware, and the details of these systems are not public. RESULTS: A complete system for doing protein identification with peptide mass fingerprints is presented, including everything from peak picking to matching the database protein. The details of the different algorithms are disclosed so that academic researchers can have full control of their tools. AVAILABILITY: The described software tools are available from the Halmstad University website www.hh.se/staff/bioinf/ SUPPLEMENTARY INFORMATION: Details of the algorithms are described in supporting information available from the Halmstad University website www.hh.se/staff/bioinf/

Algorithms↗

Identification of procaryotic repetitive DNA suitable for use as fingerprinting probes.

We have developed a method which enables the cloning and identification of procaryotic repetitive DNA suitable for use as DNA fingerprinting probes. The method involves shotgun cloning of restricted genomic DNA with subsequent selection of clones containing repetitive DNA by reverse-probed genomic hybridizations, in which the plasmid DNA clones are probed with labelled genomic DNA. Confirmation that the clones contained repeated sequences was by Southern hybridization, gene copy equivalence, and DNA sequencing. The sequences were used for highly specific and sensitive detection of bacteria and as target sequences for the mediation of chromosomal integration of reporter gene constructs.

Bacillus subtilis↗

Identification of virgin olive oil from different cultivars by analysis of DNA microsatellites.

DNA analysis enables genome fingerprinting with consequent identification of different individuals. In the agro-food industry, this can have interesting applications for the identification of species and cultivars of both raw materials and processed food. In this investigation, the efficiency of DNA microsatellite analysis in identifying virgin olive oils from different cultivars was evaluated. Ten virgin oils were obtained in the laboratory from olives of 10 different cultivars and the DNA extracted from the cell residues, recovered by oil centrifugation, was used as a template with seven different primer pairs of microsatellite sequences. The electrophoretic patterns showed an adequate level of amplification and were identical to those obtained from leaves and drupes of the same cultivar. By analyzing all the patterns obtained, the smallest number of microsatellites able to distinguish the examined oils was established and an identification key for the different oils was developed.

DNA, Plant↗

Xanthomonas albilineans diversity and identification based on rep-PCR fingerprints.

PCR with BOX and ERIC primers was used to analyze DNA of Xanthomonas albilineans and other bacteria associated with sugarcane. Generated fingerprints permitted clear separation of X. albilineans from other bacteria and revealed variation within the species. Good agreement between fingerprint groups and geographic origin and serovars was observed.

DNA Fingerprinting↗