960 resultados para Capillary electrophoresis


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Ketamine is widely used as an anesthetic in a variety of drug combinations in human and veterinary medicine. Recently, it gained new interest for use in long-term pain therapy administered in sub-anesthetic doses in humans and animals. The purpose of this study was to develop a physiologically based pharmacokinetic (PBPk) model for ketamine in ponies and to investigate the effect of low-dose ketamine infusion on the amplitude and the duration of the nociceptive withdrawal reflex (NWR). A target-controlled infusion (TCI) of ketamine with a target plasma level of 1 microg/ml S-ketamine over 120 min under isoflurane anesthesia was performed in Shetland ponies. A quantitative electromyographic assessment of the NWR was done before, during and after the TCI. Plasma levels of R-/S-ketamine and R-/S-norketamine were determined by enantioselective capillary electrophoresis. These data and two additional data sets from bolus studies were used to build a PBPk model for ketamine in ponies. The peak-to-peak amplitude and the duration of the NWR decreased significantly during TCI and returned slowly toward baseline values after the end of TCI. The PBPk model provides reliable prediction of plasma and tissue levels of R- and S-ketamine and R- and S-norketamine. Furthermore, biotransformation of ketamine takes place in the liver and in the lung via first-pass metabolism. Plasma concentrations of S-norketamine were higher compared to R-norketamine during TCI at all time points. Analysis of the data suggested identical biotransformation rates from the parent compounds to the principle metabolites (R- and S-norketamine) but different downstream metabolism to further metabolites. The PBPk model can provide predictions of R- and S-ketamine and norketamine concentrations in other clinical settings (e.g. horses).

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The pharmacokinetics of ketamine and norketamine enantiomers after administration of intravenous (IV) racemic ketamine (R-/S-ketamine; 2.2mg/kg) or S-ketamine (1.1mg/kg) to five ponies sedated with IV xylazine (1.1mg/kg) were compared. The time intervals to assume sternal and standing positions were recorded. Arterial blood samples were collected before and 1, 2, 4, 6, 8 and 13min after ketamine administration. Arterial blood gases were evaluated 5min after ketamine injection. Plasma concentrations of ketamine and norketamine enantiomers were determined by capillary electrophoresis and were evaluated by non-linear least square regression analysis applying a monocompartmental model. The first-order elimination rate constant was significantly higher and elimination half-life and mean residence time were lower for S-ketamine after S-ketamine compared to R-/S-ketamine administration. The maximum concentration of S-norketamine was higher after S-ketamine administration. Time to standing position was significantly diminished after S-ketamine compared to R-/S-ketamine. Blood gases showed low-degree hypoxaemia and hypercarbia.

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BACKGROUND: The arterial pharmacokinetics of ketamine and norketamine enantiomers after racemic ketamine or S-ketamine i.v. administration were evaluated in seven gelding ponies in a crossover study (2-month interval). METHODS: Anaesthesia was induced with isoflurane in oxygen via a face-mask and then maintained at each pony's individual MAC. Racemic ketamine (2.2 mg kg(-1)) or S-ketamine (1.1 mg kg(-1)) was injected in the right jugular vein. Blood samples were collected from the right carotid artery before and at 1, 2, 4, 8, 16, 32, 64, and 128 min after ketamine administration. Ketamine and norketamine enantiomer plasma concentrations were determined by capillary electrophoresis. Individual R-ketamine and S-ketamine concentration vs time curves were analysed by non-linear least square regression two-compartment model analysis using PCNonlin. Plasma disposition curves for R-norketamine and S-norketamine were described by estimating AUC, C(max), and T(max). Pulse rate (PR), respiratory rate (R(f)), tidal volume (V(T)), minute volume ventilation (V(E)), end-tidal partial pressure of carbon dioxide (PE'(CO(2))), and mean arterial blood pressure (MAP) were also evaluated. RESULTS: The pharmacokinetic parameters of S- and R-ketamine administered in the racemic mixture or S-ketamine administered separately did not differ significantly. Statistically significant higher AUC and C(max) were found for S-norketamine compared with R-norketamine in the racemic group. Overall, R(f), V(E), PE'(CO(2)), and MAP were significantly higher in the racemic group, whereas PR was higher in the S-ketamine group. CONCLUSIONS: Norketamine enantiomers showed different pharmacokinetic profiles after single i.v. administration of racemic ketamine in ponies anaesthetised with isoflurane in oxygen (1 MAC). Cardiopulmonary variables require further investigation.

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A protein of a biological sample is usually quantified by immunological techniques based on antibodies. Mass spectrometry offers alternative approaches that are not dependent on antibody affinity and avidity, protein isoforms, quaternary structures, or steric hindrance of antibody-antigen recognition in case of multiprotein complexes. One approach is the use of stable isotope-labeled internal standards; another is the direct exploitation of mass spectrometric signals recorded by LC-MS/MS analysis of protein digests. Here we assessed the peptide match score summation index based on probabilistic peptide scores calculated by the PHENYX protein identification engine for absolute protein quantification in accordance with the protein abundance index as proposed by Mann and co-workers (Rappsilber, J., Ryder, U., Lamond, A. I., and Mann, M. (2002) Large-scale proteomic analysis of the human spliceosome. Genome Res. 12, 1231-1245). Using synthetic protein mixtures, we demonstrated that this approach works well, although proteins can have different response factors. Applied to high density lipoproteins (HDLs), this new approach compared favorably to alternative protein quantitation methods like UV detection of protein peaks separated by capillary electrophoresis or quantitation of protein spots on SDS-PAGE. We compared the protein composition of a well defined HDL density class isolated from plasma of seven hypercholesterolemia subjects having low or high HDL cholesterol with HDL from nine normolipidemia subjects. The quantitative protein patterns distinguished individuals according to the corresponding concentration and distribution of cholesterol from serum lipid measurements of the same samples and revealed that hypercholesterolemia in unrelated individuals is the result of different deficiencies. The presented approach is complementary to HDL lipid analysis; does not rely on complicated sample treatment, e.g. chemical reactions, or antibodies; and can be used for projective clinical studies of larger patient groups.

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Stereoselectivity has to be considered for pharmacodynamic and pharmacokinetic features of ketamine. Stereoselective biotransformation of ketamine was investigated in equine microsomes in vitro. Concentration curves were constructed over time, and enzyme activity was determined for different substrate concentrations using equine liver and lung microsomes. The concentrations of R/S-ketamine and R/S-norketamine were determined by enantioselective capillary electrophoresis. A two-phase model based on Hill kinetics was used to analyze the biotransformation of R/S-ketamine into R/S-norketamine and, in a second step, into R/S-downstream metabolites. In liver and lung microsomes, levels of R-ketamine exceeded those of S-ketamine at all time points and S-norketamine exceeded R-norketamine at time points below the maximum concentration. In liver and lung microsomes, significant differences in the enzyme velocity (V(max)) were observed between S- and R-norketamine formation and between V(max) of S-norketamine formation when S-ketamine was compared to S-ketamine of the racemate. Our investigations in microsomal reactions in vitro suggest that stereoselective ketamine biotransformation in horses occurs in the liver and the lung with a slower elimination of S-ketamine in the presence of R-ketamine. Scaling of the in vitro parameters to liver and lung organ clearances provided an excellent fit with previously published in vivo data and confirmed a lung first-pass effect.

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OBJECTIVE: To investigate the effect of plasma concentrations obtained by a low dose constant rate infusion (CRI) of racemic ketamine or S-ketamine on the nociceptive withdrawal reflex (NWR) in standing ponies. STUDY DESIGN: Prospective, blinded, cross-over study. ANIMALS: Six healthy 5-year-old Shetland ponies. METHODS: Ponies received either 0.6 mg kg(-1) racemic ketamine (group RS) or 0.3 mg kg(-1) S-ketamine (group S) intravenously (IV), followed by a CRI of 20 microg kg(-1)minute(-1) racemic ketamine (group RS) or 10 microg kg(-1)minute(-1) S-ketamine (group S) for 59 minutes. The NWR was evoked by transcutaneous electrical stimulation of a peripheral nerve before drug administration, 15 and 45 minutes after the start of the bolus injection and 15 minutes after the end of the CRI. Electromyographic responses were recorded and analysed. Arterial blood was collected before stimulation and plasma concentrations of ketamine and norketamine were measured enantioselectively using capillary electrophoresis. Ponies were video recorded and monitored to assess drug effects on behaviour, heart rate (HR), mean arterial blood pressure (MAP) and respiratory rate. RESULTS: The NWR was significantly depressed in group RS at plasma concentrations between 20 and 25 ng mL(-1) of each enantiomer. In group S, no significant NWR depression could be observed; plasma concentrations of S-ketamine (9-15 ng mL(-1)) were lower, compared to S-ketamine concentrations in group RS, although this difference was not statistically significant. Minor changes in behaviour, HR and MAP only occurred within the first 5-10 minutes after bolus drug administration in both groups. CONCLUSION: Antinociceptive activity in standing ponies, demonstrated as a depression of the NWR, could only be detected after treatment with racemic ketamine. S-ketamine may have lacked this effect as a result of lower plasma concentrations, a more rapid metabolism or a lower potency of S-ketamine in Equidae so further investigation is necessary.

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OBJECTIVE: To evaluate pharmacokinetics of ketamine and norketamine enantiomers after constant rate infusion (CRI) of a subanesthetic dose of racemic ketamine or S-ketamine in ponies. ANIMALS: Five 6-year-old Shetland pony geldings that weighed between 101 and 152 kg. PROCEDURES: In a crossover study, each pony received a CRI of racemic ketamine (loading dose, 0.6 mg/kg; CRI, 0.02 mg/kg/min) and S-ketamine (loading dose, 0.3 mg/kg; CRI, 0.01 mg/kg/min), with a 1-month interval between treatments. Arterial blood samples were collected before and at 5, 15, 30, 45, and 60 minutes during drug administration and at 5, 10, 30, and 60 minutes after discontinuing the CRI. Plasma ketamine and norketamine enantiomers were quantified by use of capillary electrophoresis. Individual R-ketamine and S-ketamine concentration-versus-time curves were analyzed by use of a monocompartmental model. Plasma disposition curves for R-norketamine and S-norketamine were described by estimating the area under the concentration-versus-time curve (AUC), maximum concentration (Cmax), and time until Cmax. RESULTS: Plasma concentrations of S-ketamine decreased and biodegradation products increased more rapidly after S-ketamine CRI, compared with results after racemic ketamine CRI. The R-norketamine was eliminated faster than was the S-norketamine. Significant differences between treatments were found for the AUC of S-ketamine and within the racemic ketamine CRI for the AUC and Cmax of norketamine isomers. CONCLUSIONS AND CLINICAL RELEVANCE: CRI of S-ketamine may be preferable over CRI of racemic ketamine in standing equids because the S-enantiomer was eliminated faster when infused alone instead of as part of a racemic mixture.

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OBJECTIVE: To investigate cytochrome P450 (CYP) enzymes involved in metabolism of racemic and S-ketamine in various species and to evaluate metabolic interactions of other analgesics with ketamine. SAMPLE POPULATION: Human, equine, and canine liver microsomes. PROCEDURES: An analgesic was concurrently incubated with luminogenic substrates specific for CYP 3A4 or CYP 2C9 and liver microsomes. The luminescence signal was detected and compared with the signal for negative control samples. Ketamine and norketamine enantiomers were determined by use of capillary electrophoresis. RESULTS: A concentration-dependent decrease in luminescence signal was detected for ibuprofen and diclofenac in the assay for CYP 2C9 in human and equine liver microsomes but not in the assay for CYP 3A4 and methadone or xylazine in any of the species. Coincubation of methadone or xylazine with ketamine resulted in a decrease in norketamine formation in equine and canine liver microsomes but not in human liver microsomes. In all species, norketamine formation was not affected by ibuprofen, but diclofenac reduced norketamine formation in human liver microsomes. A higher rate of metabolism was detected for S-ketamine in equine liver microsomes, compared with the rate for the S-enantiomer in the racemic mixture when incubated with any of the analgesics investigated. CONCLUSIONS AND CLINICAL RELEVANCE: Enzymes of the CYP 3A4 family and orthologs of CYP 2C9 were involved in ketamine metabolism in horses, dogs, and humans. Methadone and xylazine inhibited in vitro metabolism of ketamine. Therefore, higher concentrations and diminished clearance of ketamine may cause adverse effects when administered concurrently with other analgesics.

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Two sets of mass spectrometry-based methods were developed specifically for the in vivo study of extracellular neuropeptide biochemistry. First, an integrated micro-concentration/desalting/matrix-addition device was constructed for matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) to achieve attomole sensitivity for microdialysis samples. Second, capillary electrophoresis (CE) was incorporated into the above micro-liquid chromatography (LC) and MALDI MS system to provide two-dimensional separation and identification (i.e. electrophoretic mobility and molecular mass) for the analysis of complex mixtures. The latter technique includes two parts of instrumentation: (1) the coupling of a preconcentration LC column to the inlet of a CE capillary, and (2) the utilization of a matrix-precoated membrane target for continuous CE effluent deposition and for automatic MALDI MS analysis (imaging) of the CE track.^ Initial in vivo data reveals a carboxypeptidase A (CPA) activity in rat brain involved in extracellular neurotensin metabolism. Benzylsuccinic acid, a CPA inhibitor, inhibited neurotensin metabolite NT1-12 formation by 70%, while inhibitors of other major extracellular peptide metabolizing enzymes increased NT1-12 formation. CPA activity has not been observed in previous in vitro experiments. Next, the validity of the methodology was demonstrated in the detection and structural elucidation of an endogenous neuropeptide, (L)VV-hemorphin-7, in rat brain upon ATP stimulation. Finally, the combined micro-LC/CE/MALDI MS was used in the in vivo metabolic study of peptide E, a mu-selective opioid peptide with 25 amino acid residues. Profiles of 88 metabolites were obtained, their identity being determined by their mass-to-charge ratio and electrophoretic mobility. The results indicate that there are several primary cleavage sites in vivo for peptide E in the release of its enkephalin-containing fragments. ^

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Past studies of water stress in Eucalyptus spp. generally highlighted the role of fewer than five “important” metabolites, whereas recent metabolomic studies on other genera have shown tens of compounds are affected. There are currently no metabolite profiling data for responses of stress-tolerant species to water stress. We used GC–MS metabolite profiling to examine the response of leaf metabolites to a long (2 month) and severe (Ψpredawn < −2 MPa) water stress in two species of the perennial tree genus Eucalyptus (the mesic Eucalyptus pauciflora and the semi-arid Eucalyptus dumosa). Polar metabolites in leaves were analysed by GC–MS and inorganic ions by capillary electrophoresis. Pressure–volume curves and metabolite measurements showed that water stress led to more negative osmotic potential and increased total osmotically active solutes in leaves of both species. Water stress affected around 30–40% of measured metabolites in E. dumosa and 10–15% in E. pauciflora. There were many metabolites that were affected in E. dumosa but not E. pauciflora, and some that had opposite responses in the two species. For example, in E. dumosa there were increases in five acyclic sugar alcohols and four low-abundance carbohydrates that were unaffected by water stress in E. pauciflora. Re-watering increased osmotic potential and decreased total osmotically active solutes in E. pauciflora, whereas in E. dumosa re-watering led to further decreases in osmotic potential and increases in total osmotically active solutes. This experiment has added several extra dimensions to previous targeted analyses of water stress responses in Eucalyptus, and highlights that even species that are closely related (e.g. congeners) may respond differently to water stress and re-watering

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El trigo blando (Triticum aestivum ssp vulgare L., AABBDD, 2n=6x=42) presenta propiedades viscoélasticas únicas debidas a la presencia en la harina de las prolaminas: gluteninas y gliadinas. Ambos tipos de proteínas forman parte de la red de gluten. Basándose en la movilidad en SDS-PAGE, las gluteninas se clasifican en dos grupos: gluteninas de alto peso molecular (HMW-GS) y gluteninas de bajo peso molecular (LMW-GS). Los genes que codifican para las HMW-GS se encuentran en tres loci del grupo 1 de cromosomas: Glu-A1, Glu-B1 y Glu-D1. Cada locus codifica para uno o dos polipéptidos o subunidades. La variación alélica de las HMW-GS es el principal determinante de de la calidad harino-panadera y ha sido ampliamente estudiado tanto a nivel de proteína como de ADN. El conocimiento de estas proteínas ha contribuido sustancialmente al progreso de los programas de mejora para la calidad del trigo. Comparadas con las HMW-GS, las LMW-GS forman una familia proteica mucho más compleja. La mayoría de los genes LMW se localizan en el grupo 1 de cromosomas en tres loci: Glu-A3, Glu-B3 y Glu-D3 que se encuentran estrechamente ligados a los loci que codifican para gliadinas. El número de copias de estos genes ha sido estimado entre 10-40 en trigo hexaploide, pero el número exacto aún se desconoce debido a la ausencia de un método eficiente para diferenciar los miembros de esta familia multigénica. La nomenclatura de los alelos LMW-GS por electroforesis convencional es complicada, y diferentes autores asignan distintos alelos a la misma variedad lo que dificulta aún más el estudio de esta compleja familia. El uso de marcadores moleculares para la discriminación de genes LMW, aunque es una tarea dificil, puede ser muy útil para los programas de mejora. El objetivo de este trabajo ha sido profundizar en la relación entre las gluteninas y la calidad panadera y desarrollar marcadores moleculares que permitan ayudar en la correcta clasificación de HMW-GS y LMW-GS. Se han obtenido dos poblaciones de líneas avanzadas F4:6 a partir de los cruzamientos entre las variedades ‘Tigre’ x ‘Gazul’ y ‘Fiel’ x ‘Taber’, seleccionándose para los análisis de calidad las líneas homogéneas para HMW-GS, LMW-GS y gliadinas. La determinación alélica de HMW-GS se llevó a cabo por SDS-PAGE, y se complementó con análisis moleculares, desarrollándose un nuevo marcador de PCR para diferenciar entre las subunidades Bx7 y Bx7*del locus Glu-B1. Resumen 2 La determinación alélica para LMW-GS se llevó a cabo mediante SDS-PAGE siguiendo distintas nomenclaturas y utilizando variedades testigo para cada alelo. El resultado no fue concluyente para el locus Glu-B3, así que se recurrió a marcadores moleculares. El ADN de los parentales y de los testigos se amplificó usando cebadores diseñados en regiones conservadas de los genes LMW y fue posteriormente analizado mediante electroforesis capilar. Los patrones de amplificación obtenidos fueron comparados entre las distintas muestras y permitieron establecer una relación con los alelos de LMW-GS. Con este método se pudo aclarar la determinación alélica de este locus para los cuatro parentales La calidad de la harina fue testada mediante porcentaje de contenido en proteína, prueba de sedimentación (SDSS) y alveógrafo de Chopin (parámetros P, L, P/L y W). Los valores fueron analizados en relación a la composición en gluteninas. Las líneas del cruzamiento ‘Fiel’ x ‘Taber’ mostraron una clara influencia del locus Glu-A3 en la variación de los valores de SDSS. Las líneas que llevaban el nuevo alelo Glu-A3b’ presentaron valores significativamente mayores que los de las líneas con el alelo Glu-A3f. En las líneas procedentes del cruzamiento ‘Tigre ’x ‘Gazul’, los loci Glu-B1 y Glu-B3 loci mostraron ambos influencia en los parámetros de calidad. Los resultados indicaron que: para los valores de SDSS y P, las líneas con las HMW-GS Bx7OE+By8 fueron significativamente mejores que las líneas con Bx17+By18; y las líneas que llevaban el alelo Glu-B3ac presentaban valores de P significativamente superiores que las líneas con el alelo Glu-B3ad y significativamente menores para los valores de L . El análisis de los valores de calidad en relación a los fragmentos LMW amplificados, reveló un efecto significativo entre dos fragmentos (2-616 y 2-636) con los valores de P. La presencia del fragmento 2-636 estaba asociada a valores de P mayores. Estos fragmentos fueron clonados y secuenciados, confirmándose que correspondían a genes del locus Glu-B3. El estudio de la secuencia reveló que la diferencia entre ambos se hallaba en algunos SNPs y en una deleción de 21 nucleótidos que en la proteína correspondería a un InDel de un heptapéptido en la región repetida de la proteína. En este trabajo, la utilización de líneas que difieren en el locus Glu-B3 ha permitido el análisis de la influencia de este locus (el peor caracterizado hasta la fecha) en la calidad panadera. Además, se ha validado el uso de marcadores moleculares en la determinación alélica de las LMW-GS y su relación con la calidad panadera. Summary 3 Bread wheat (Triticum aestivum ssp vulgare L., AABBDD, 2n=6x=42) flour has unique dough viscoelastic properties conferred by prolamins: glutenins and gliadins. Both types of proteins are cross-linked to form gluten polymers. On the basis of their mobility in SDS-PAGE, glutenins can be classified in two groups: high molecular weight glutenins (HMW-GS) and low molecular weight glutenins (LMW-GS). Genes encoding HMW-GS are located on group 1 chromosomes in three loci: Glu-A1, Glu-B1 and Glu-D1, each one encoding two polypeptides, named subunits. Allelic variation of HMW-GS is the most important determinant for bread making quality, and has been exhaustively studied at protein and DNA level. The knowledge of these proteins has substantially contributed to genetic improvement of bread quality in breeding programs. Compared to HMW-GS, LMW-GS are a much more complex family. Most genes encoded LMW-GS are located on group 1 chromosomes. Glu-A3, Glu-B3 and Glu-D3 loci are closely linked to the gliadin loci. The total gene copy number has been estimated to vary from 10–40 in hexaploid wheat. However, the exact copy number of LMW-GS genes is still unknown, mostly due to lack of efficient methods to distinguish members of this multigene family. Nomenclature of LMW-GS alleles is also unclear, and different authors can assign different alleles to the same variety increasing confusion in the study of this complex family. The use of molecular markers for the discrimination of LMW-GS genes might be very useful in breeding programs, but their wide application is not easy. The objective of this work is to gain insight into the relationship between glutenins and bread quality, and the developing of molecular markers that help in the allele classification of HMW-GS and LMW-GS. Two populations of advanced lines F4:6 were obtained from the cross ‘Tigre’ x ‘Gazul’ and ‘Fiel’ x ‘Taber’. Lines homogeneous for HMW-GS, LMW-GS and gliadins pattern were selected for quality analysis. The allele classification of HMW-GS was performed by SDS-PAGE, and then complemented by PCR analysis. A new PCR marker was developed to undoubtedly differentiate between two similar subunits from Glu-B1 locus, Bx7 and Bx7*. The allele classification of LMW-GS was initially performed by SDS-PAGE following different established nomenclatures and using standard varieties. The results were not completely concluding for Glu-B3 locus, so a molecular marker system was applied. DNA from parental lines and standard varieties was amplified using primers designed in conserved domains of LMW genes and analyzed by capillary electrophoresis. The pattern of amplification products obtained was compared among samples and related to the protein allele classification. It was possible to establish a correspondence between specific amplification products and almost all LMW alleles analyzed. With this method, the allele classification of the four parental lines was clarified. Flour quality of F4:6 advanced lines were tested by protein content, sedimentation test (SDSS) and alveograph (P, L, P/L and W). The values were analyzed in relation to the lines prolamin composition. In the ‘Fiel’ x ‘Taber’ population, Glu-A3 locus showed an influence in SDSS values. Lines carrying new allele Glu-A3b’, presented a significantly higher SDSS value than lines with Glu-A3f allele. In the ‘Tigre ’x ‘Gazul’ population, the Glu-B1 and Glu-B3 loci also showed an effect in quality parameters, in SDSS, and P and L values. Results indicated that: for SDSS and P, lines with Bx7OE+By8 were significantly better than lines with Bx17+By18; lines carrying Glu-B3ac allele had a significantly higher P values than Glu-B3ad allele values. lines with and lower L The analysis of quality parameters and amplified LMW fragments revealed a significant influence of two peaks (2-616 y 2-636) in P values. The presence of 2-636 peak gave higher P values than 2-616. These fragments had been cloned and sequenced and identified as Glu-B3 genes. The sequence analysis revealed that the molecular difference between them was some SNPs and a small deletion of 21 nucleotides that in the protein would produce an InDel of a heptapeptide in the repetitive region. In this work, the analysis of two crosses with differences in Glu-3 composition has made possible to study the influence of LMG-GS in quality parameters. Specifically, the influence of Glu-B3, the most interesting and less studied loci has been possible. The results have shown that Glu-B3 allele composition influences the alveograph parameter P (tenacity). The existence of different molecular variants of Glu-B3 alleles have been assessed by using a molecular marker method. This work supports the use of molecular approaches in the study of the very complex LMW-GS family, and validates their application in the analysis of advanced recombinant lines for quality studies.

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Bread wheat quality constitutes a key trait for the demands of the baking industry as well as the broad consumer preferences. The role of the low molecular weight glutenin subunits (LMW-GS) with regard to bread quality is so far not well understood owing to their genetic complexity and to the use of different nomenclatures and standards for the LMW-GS assignment by different research groups, which has made difficult the undertaking of association studies between genotypes and bread quality. The development of molecular markers to carry out genetic characterization and allele determination is demanding. Nowadays, the most promising LMW gene marker system is based on PCR and high resolution capillary electrophoresis for the simultaneous analysis of the complete multigene family. The molecular analysis of the bread wheat Glu-B3 locus in F2 and F4:6 populations expressed the expected one-locus Mendelian segregation pattern, thus validating the suitability of this marker system for the characterization of LMW-GS genes in segregating populations, allowing for the successful undertaking of studies related to bread-making quality. Moreover, the Glu-B3 allele characterization of standard cultivars with the molecular marker system has revealed its potential as a complementary tool for the allelic determination of this complex multigene family.

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Heparinase I from Flavobacterium heparinum has important uses for elucidating the complex sequence heterogeneity of heparin-like glycosaminoglycans (HLGAGs). Understanding the biological function of HLGAGs has been impaired by the limited methods for analysis of pure or mixed oligosaccharide fragments. Here, we use methodologies involving MS and capillary electrophoresis to investigate the sequence of events during heparinase I depolymerization of HLGAGs. In an initial step, heparinase I preferentially cleaves exolytically at the nonreducing terminal linkage of the HLGAG chain, although it also cleaves internal linkages at a detectable rate. In a second step, heparinase I has a strong preference for cleaving the same substrate molecule processively, i.e., to cleave the next site toward the reducing end of the HLGAG chain. Computer simulation showed that the experimental results presented here from analysis of oligosaccharide degradation were consistent with literature data for degradation of polymeric HLGAG by heparinase I. This study presents direct evidence for a predominantly exolytic and processive mechanism of depolymerization of HLGAG by heparinase I.

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We report automated DNA sequencing in 16-channel microchips. A microchip prefilled with sieving matrix is aligned on a heating plate affixed to a movable platform. Samples are loaded into sample reservoirs by using an eight-tip pipetting device, and the chip is docked with an array of electrodes in the focal plane of a four-color scanning detection system. Under computer control, high voltage is applied to the appropriate reservoirs in a programmed sequence that injects and separates the DNA samples. An integrated four-color confocal fluorescent detector automatically scans all 16 channels. The system routinely yields more than 450 bases in 15 min in all 16 channels. In the best case using an automated base-calling program, 543 bases have been called at an accuracy of >99%. Separations, including automated chip loading and sample injection, normally are completed in less than 18 min. The advantages of DNA sequencing on capillary electrophoresis chips include uniform signal intensity and tolerance of high DNA template concentration. To understand the fundamentals of these unique features we developed a theoretical treatment of cross-channel chip injection that we call the differential concentration effect. We present experimental evidence consistent with the predictions of the theory.