Analysis of closely related genes by the use of synthetic oligonucleotide probes labeled to a high specific activity

A method for labeling synthetic oligonucleotide probes to high specific activity is described. The method utilizes two partly complementary oligonucleotides that are labeled by a fill-in reaction using the Klenow fragment of DNA polymerase I and four α³²P-nucleoside triphosphates. Such probes can, in combination with Southern blot analysis, be used for routine analysis of individual genes in multigene families.     

The amino acid sequence of cytochrome c from niger-seed, Guizotia abyssinica

The amino acid sequence of cytochrome c from niger-seed has been determined by sequence analysis of chymotryptic and tryptic peptides using the dansyl-phenylisothiocyanate method and by qualitative analysis of peptide composition by the dansyl method. Although the spectral ratios indicated the protein was not completely pure, no indication of impurity was found during the sequence analysis and no peptides in addition to those given here were obtained. In certain cases the alignment of peptides was by homology with other cytochromes c. Four residues in the proposed sequence, alanine-1, cysteine-25, histidine-26 and lysine-61 were identified only from peptide compositions. The amino-terminus of the protein is acetylated. The sequence contains two residues of ϵ-N-trimethyllysine.     

Amino-terminal analysis of polypeptide using dimethylaminoazobenzene isothiocyanate

A new method for qualitative and quantitative N-terminal analysis of polypeptide using dimethylaminoazobenzene-isothiocyanate is presented. The method can recover all naturally occurring N-terminal amino acids, including asparagine, glutamine, and tryptophane in a nearly quantitative yield. Less than 1 nmol of polypeptide is required for qualitative N-terminal analysis and 5 to 10 nmol of polypeptide is used for quantitative N-terminal analysis. Applications and expected limitations of this new N-terminal method are described.     

Identification of fibrillin-1 gene mutations in Marfan syndrome by high-resolution melting analysis

Marfan syndrome has been associated with approximately 562 mutations in the fibrillin-1 (FBN1) gene. Mutation scanning of the FBN1 gene with DNA direct sequencing is time-consuming and expensive because of its large size. This study analyzed the diagnostic value of high-resolution melting analysis as an alternative method for scanning of the FBN1 gene. A total of 75 polymerase chain reaction (PCR) amplicons (179-301 bp, average 256 bp) that covered the complete coding regions and splicing sites were evaluated on the 96-well LightCycler system. Melting curves were analyzed as fluorescence derivative plots (−dF/dT vs. temperature). To determine the sensitivity of this method, a total of 82 samples from patients with Marfan syndrome and 50 unaffected individuals were analyzed. All mutations reported in this study had been confirmed previously by direct sequencing analysis. Melting analysis identified 48 heterozygous variants. The variant c.3093 G>T (exon 25) was incorrectly identified by melting curve analysis. The sensitivity of the technique in this sample was 98.78% (81/82). This study demonstrated that high-resolution melting analysis is a reliable gene scanning method with greater speed than DNA sequencing. Our results support the use of this technology as an alternative method for the diagnosis of Marfan syndrome as well as its suitability for high-throughput mutation scanning of other large genes.     

ScreenClust: Advanced statistical software for supervised and unsupervised high resolution melting (HRM) analysis

Background: High resolution melting (HRM) is an emerging new method for interrogating and characterizing DNA samples. An important aspect of this technology is data analysis. Traditional HRM curves can be difficult to interpret and the method has been criticized for lack of statistical interrogation and arbitrary interpretation of results. Methods: Here we report the basic principles and first applications of a new statistical approach to HRM analysis addressing these concerns. Our method allows automated genotyping of unknown samples coupled with formal statistical information on the likelihood, if an unknown sample is of a known genotype (by discriminant analysis or “supervised learning”). It can also determine the assortment of alleles present (by cluster analysis or “unsupervised learning”) without a priori knowledge of the genotypes present. Conclusion: The new algorithms provide highly sensitive and specific auto-calling of genotypes from HRM data in both supervised an unsupervised analysis mode. The method is based on pure statistical interrogation of the data set with a high degree of standardization. The hypothesis-free unsupervised mode offers various possibilities for de novo HRM applications such as mutation discovery.     

Quantitative and chemical fingerprint analysis for quality control of Rhizoma Coptidischinensis based on UPLC-PAD combined with chemometrics methods

To control the quality of Rhizoma Coptidis, a method based on ultra performance liquid chromatography with photodiode array detector (UPLC-PAD) was developed for quantitative analysis of five active alkaloids and chemical fingerprint analysis. In quantitative analysis, the five alkaloids showed good regression (R > 0.999 2) within test ranges and the recovery of the method was in the range of 98.4- 100.8%. The limit of detections and quantifications for five alkaloids in PAD were less than 0.07 and 0.22 μg/ml, respectively. In order to compare the UPLC fingerprints between Rhizoma Coptidis from different origins, the chemometrics procedures, including similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA) were applied to classify the Rhizoma Coptidis samples according to their cultivated origins. Consistent results were obtained to show that Rhizoma Coptidis samples could be successfully grouped in accordance with the province of origin. Furthermore, five marker constituents were screened out to be the main chemical marker, which could be applied to accurate discrimination and quality control for Rhizoma Coptidis by quantitative analysis. This study revealed that UPLC-PAD method was simple, sensitive and reliable for quantitative and chemical fingerprint analysis, moreover, for the quality evaluation and control of Rhizoma Coptidis.     

Analysis of FRET signals in the presence of free donors and acceptors

A method for spectral analysis of Förster resonance energy transfer (FRET) signals is presented, taking into consideration both the contributions of unpaired donor and acceptor fluorophores and the influence of incomplete labeling of the interacting partners. It is shown that spectral analysis of intermolecular FRET cannot yield accurate values of the Förster energy transfer efficiency E, unless one of the interactors is in large excess and perfectly labeled. Instead, analysis of donor quenching yields a product of the form Ef_dp_a, where f_d is the fraction of donor-type molecules participating in donor-acceptor complexes and p_a is the labeling probability of the acceptor. Similarly, analysis of sensitized emission yields a product involving Ef_a. The analysis of intramolecular FRET (e.g., of tandem constructs) yields the product Ep_a. We use our method to determine these values for a tandem construct of cyan fluorescent protein and yellow fluorescent protein and compare them with those obtained by standard acceptor photobleaching and fluorescence lifetime measurements. We call the method lux-FRET, since it relies on linear unmixing of spectral components.     

Multiregional Evaluation of the SimPlate Heterotrophic Plate Count Method Compared to the Standard Plate Count Agar Pour Plate Method in Water

A new SimPlate heterotrophic plate count (HPC) method (IDEXX Laboratories, Westbrook, Maine) was compared with the pour plate method at 35°C for 48 h. Six laboratories tested a total of 632 water samples. The SimPlate HPC method was found to be equivalent to the pour plate method by regression analysis (r = 0.95; y = 0.99X + 0.06).     

PCR-linked reverse DNA hybridization using oligonucleotide-specific probes of rpoB for identification of Mycobacterium avium and Mycobacterium intracellulare

A PCR-linked reverse DNA hybridization method using two different specific rpoB DNA probes (Avp and Intp) of Mycobacterium avium and Mycobacterium intracellulare, respectively, were evaluated for the differentiation and identification of M. avium and M. intracellulare culture isolates. Among the 504 culture isolates tested by this method, 48 strains showed positive results for M. avium and 60 strains showed positive results for M. intracellulare. The other 396 culture isolates showed negative results for both M. avium and M. intracellulare. These results were consistent with those obtained from partial rpoB (306 bp) sequence analysis and biochemical tests. The negative strains obtained by this DNA hybridization method were identified as M. tuberculosis (366 strains), M. peregrinum (11 strains), M. abscessus (9 strains), M. fortuitum (8 strains), and M. flavescens (2 strains) by rpoB DNA sequence analysis. Due to the high sensitive and specific result obtained by this assay, we suggest that this PCR-linked reverse DNA hybridization method using two different specific rpoB DNA probes of M. avium and M. intracellulare would be used for the rapid and precise method for differentiation and identification of M. avium and M. intracellulare.     

Subtyping of a Large Collection of Historical Listeria monocytogenes Strains from Ontario,Canada, by an Improved Multilocus Variable-Number Tandem-Repeat Analysis (MLVA)

Listeria monocytogenes is responsible for severe and often fatal food-borne infections in humans. A collection of 2,421 L. monocytogenes isolates originating from Ontario''s food chain between 1993 and 2010, along with Ontario clinical isolates collected from 2004 to 2010, was characterized using an improved multilocus variable-number tandem-repeat analysis (MLVA). The MLVA method was established based on eight primer pairs targeting seven variable-number tandem-repeat (VNTR) loci in two 4-plex fluorescent PCRs. Diversity indices and amplification rates of the individual VNTR loci ranged from 0.38 to 0.92 and from 0.64 to 0.99, respectively. MLVA types and pulsed-field gel electrophoresis (PFGE) patterns were compared using Comparative Partitions analysis involving 336 clinical and 99 food and environmental isolates. The analysis yielded Simpson''s diversity index values of 0.998 and 0.992 for MLVA and PFGE, respectively, and adjusted Wallace coefficients of 0.318 when MLVA was used as a primary subtyping method and 0.088 when PFGE was a primary typing method. Statistical data analysis using BioNumerics allowed for identification of at least 8 predominant and persistent L. monocytogenes MLVA types in Ontario''s food chain. The MLVA method correctly clustered epidemiologically related outbreak strains and separated unrelated strains in a subset analysis. An MLVA database was established for the 2,421 L. monocytogenes isolates, which allows for comparison of data among historical and new isolates of different sources. The subtyping method coupled with the MLVA database will help in effective monitoring/prevention approaches to identify environmental contamination by pathogenic strains of L. monocytogenes and investigation of outbreaks.     

Single-Nucleotide Polymorphism Phylotyping of Escherichia coli

We describe a rapid and easily automated phylogenetic grouping technique based on analysis of bacterial genome single-nucleotide polymorphisms (SNPs). We selected 13 SNPs derived from a complete sequence analysis of 11 essential genes previously used for multilocus sequence typing (MLST) of 30 Escherichia coli strains representing the genetic diversity of the species. The 13 SNPs were localized in five genes, trpA, trpB, putP, icdA, and polB, and were selected to allow recovery of the main phylogenetic groups (groups A, B1, E, D, and B2) and subgroups of the species. In the first step, we validated the SNP approach in silico by extracting SNP data from the complete sequences of the five genes for a panel of 65 pathogenic strains belonging to different E. coli pathovars, which were previously analyzed by MLST. In the second step, we determined these SNPs by dideoxy single-base extension of unlabeled oligonucleotide primers for a collection of 183 commensal and extraintestinal clinical E. coli isolates and compared the SNP phylotyping method to previous well-established typing methods. This SNP phylotyping method proved to be consistent with the other methods for assigning phylogenetic groups to the different E. coli strains. In contrast to the other typing methods, such as multilocus enzyme electrophoresis, ribotyping, or PCR phylotyping using the presence/absence of three genomic DNA fragments, the SNP typing method described here is derived from a solid phylogenetic analysis, and the results obtained by this method are more meaningful. Our results indicate that similar approaches may be used for a wide variety of bacterial species.     

Radionuclide determination of absolute LV volumes: Interstudy,interobserver and intraobserver variances

The results of 22 absolute left ventricular volume (LVV) determinations by a radionuclide (RN) method are compared to the results obtained by contrast ventriculography (CV). Another 10 patients were analysed in order to evaluate the interstudy, interobserver and intraobserver variances. Good correlation was shown between the RN and CV measurements of the end diastolic volume (EDV), end systolic volume (ESV), stroke volume (SV) and ejection fraction (EF), but the RN method overestimates the EDV and ESV. The EF was underestimated, but no difference could be shown for the SV. On the inter- and intraobserver levels, regression analysis yielded excellent correlation (r > 0.99 in all cases) with no statistically significant difference (P < 0.05). The interstudy variance was minimal as indicated by regression analysis (r > 0.87) and no statistically significant difference (P < 0.05) could be shown between studies. The results indicate that the RN method of LVV determination can be used in intervention studies over a limited period.     

Comparison of 4 × 6-meric hemocyanins from three different arthropods using computer alignment and correspondence analysis

We have compared 4 × 6-meric hemocyanin molecules from Androctonus australis and Eurypelma californicum with the similar 4 × 6-meric half-molecules of Limulus polyphemus hemocyanin. This comparison was performed using multivariate statistical analysis applied to computer-aligned electron microscopical images of the molecules: a method that was recently proposed by van Heel & Frank (1980,1981).Our study shows that the molecules are very similar indeed, and that the evidence for a tetrameric arrangement of the hexamers found in 4 × 6-meric Limulus molecules (van Heel & Frank, 1980,1981) also holds for Androctonus and Eurypelma hemocyanin. The model proposed for this molecule by Lamy et al. (1981) is therefore based on correct assumptions.In addition, our study shows that correspondence analysis, as a method of multivariate statistical analysis, is capable of detecting subtle differences between similar structures as well as differences in preparative conditions, effects that were hitherto not accessible to quantitative analysis.     

Development of a whole community genome amplification-assisted DNA microarray method to detect functional genes involved in the nitrogen cycle

A novel DNA microarray analysis targeting key functional genes involved in most nitrogen cycling reactions was developed to comprehensively analyze microbial populations associated with the nitrogen cycle. The developed microarray contained 876 oligonucleotide probes based on the nucleotide sequences of the nif, amo, hao/hzo, nap, nar, nirK, nirS, nrf, cnor, qnor and nos genes. An analytical method combining detection by the designed microarray with whole community genome amplification was then applied to monitor the nitrogen cycling microorganisms in river water and wastewater treatment sludge samples. The developed method revealed that nitrogen cycling microorganisms in river water appeared to become less diverse in response to input of effluent from municipal wastewater treatment plants. Additionally, the nitrogen cycling community associated with anaerobic ammonium oxidation and partial nitrification reactors could be reasonably analyzed by the developed method. However, the results obtained for two activated sludge samples from municipal wastewater treatment plants with almost equivalent wastewater treatment performance differed greatly from each other. These results suggested that the developed method is useful for comprehensive analysis of nitrogen cycling microorganisms, although its applicability to complex samples with abundant untargeted populations should be further examined.     

On estimating the precision of stable isotope ratios in processed tree-rings

Stable isotope dendrochronology is a well-developed field of research, but improvements to methodologies are on-going. We propose an improved method for estimating the precision of stable isotope ratios (δ) of tree-ring samples that are processed from whole wood to various end products such as cellulose-nitrate, α-cellulose, or cellulose intermediates. The status quo method for estimating the δ precision of organic solids is to characterise the long-term 2-sigma range of δ values for a ready-made Quality Assurance (QA) standard that is included in each analysis run of samples. While the status quo method is appropriate for characterising analytical uncertainties associated with the mass spectrometer, combustion or pyrolysis system, and analyte specifics, it does not reflect uncertainties associated with sample processing from inadvertent and unrealised operator error (e.g., contamination by airborne particles, incomplete chemical processing, sample storage issues, and other unforeseen errors), although such errors would probably be rare with an experienced operator. The proposed method improves upon the status quo method as it respects the Identical Treatment principle by subjecting QA standards to the same processing steps that samples undergo. As such, analytical uncertainties associated with sample processing would be integrated into the QA standard's δ value and precision estimate. In effect, the proposed method is a system to monitor inter-batch reproducibility and, by the same token, can be used to identify batches that were potentially compromised during processing. A pilot study example is used to demonstrate the proposed method for δ¹⁸O analysis of α-cellulose samples.     

A method for analysis and design of metabolism using metabolomics data and kinetic models: Application on lipidomics using a novel kinetic model of sphingolipid metabolism

We present a model-based method, designated Inverse Metabolic Control Analysis (IMCA), which can be used in conjunction with classical Metabolic Control Analysis for the analysis and design of cellular metabolism. We demonstrate the capabilities of the method by first developing a comprehensively curated kinetic model of sphingolipid biosynthesis in the yeast Saccharomyces cerevisiae. Next we apply IMCA using the model and integrating lipidomics data. The combinatorial complexity of the synthesis of sphingolipid molecules, along with the operational complexity of the participating enzymes of the pathway, presents an excellent case study for testing the capabilities of the IMCA. The exceptional agreement of the predictions of the method with genome-wide data highlights the importance and value of a comprehensive and consistent engineering approach for the development of such methods and models. Based on the analysis, we identified the class of enzymes regulating the distribution of sphingolipids among species and hydroxylation states, with the D-phospholipase SPO14 being one of the most prominent. The method and the applications presented here can be used for a broader, model-based inverse metabolic engineering approach.     

Modified method for determination of hippuric acid and methylhippuric acid in urine by gas chromatography

A modified method for the simultaneous determination of hippuric acid (HA) and o-, m- and p-methylhippuric acids (o-, m- and p-MHAs) in urine is described. These metabolites were extracted, derivatized into their methyl ester derivatives and analyzed using a gas chromatograph equipped with flame ionization detector and a DB-1 capillary column. The derivatives of HA, o-, m- and p-MHAs were well separated within 11 min. The accuracy and precision in the present method were sufficient for quantitative analysis, and the results obtained by the GC method were highly correlated with those by the HPLC method (NIOSH 8301).