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Journal articles on the topic 'PCR'

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Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

Al-Sehemi, Abdullah G., Tarek M. El-Gogary, Karl Peter Wolschann, and Gottfried Koehler. "Structure and Stability of Chemically Modified DNA Bases: Quantum Chemical Calculations on 16 Isomers of Diphosphocytosine." ISRN Physical Chemistry 2013 (February 25, 2013): 1–10. http://dx.doi.org/10.1155/2013/146401.

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We studied for the first time 16 tautomers/rotamers of diphosphocytosine by four computational methods. Some of these tautomers/rotamers are isoenergetic although they have different structures. High-level electron correlation MP2 and MP4(SDQ) ab initio methods and density functional methods employing a B3LYP and the new M06-2X functional were used to study the structure and relative stability of 16 tautomers/rotamers of diphosphocytosine. The dienol tautomers of diphosphocytosine are shown to be much more stable than the keto-enol and diketo forms. The tautomers/rotamers stability could be ranked as PC3 = PC12 < PC2 = PC11 < PC1 < PC10 < PC8 < PC9 < PC15 < PC16 < PC6 ~ PC7 < PC13 < PC4 ~ PC14 < PC5. This stability order was discussed in the light of stereo and electronic factors. Solvation effect has been modeled in a high dielectric solvent, water using the polarized continuum model (PCM). Consideration of the solvent causes some reordering of the relative stability of diphosphocytosine tautomers: PC3 ~ PC12 ~ PC2 ~ PC11 < PC1 < PC10 < PC8 < PC9 < PC15 ~ PC16 < PC13 < PC6 ~ PC7 ~ PC14 < PC4 ~ PC5.

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2

Freyer, C., L. M. Kilpatrick, L. A. Salamonsen, and G. Nie. "Pro-protein convertases (PCs) other than PC6 are not tightly regulated for implantation in the human endometrium." Reproduction 133, no. 6 (June 2007): 1189–97. http://dx.doi.org/10.1530/rep-06-0285.

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Pro-protein convertases (PCs) are a family of serine proteases (furin, PC1/3, PC2, PACE4, PC4, PC5/6, PC7/8) responsible for post-translational processing and activation of inactive precursors of many regulatory proteins. Endometrial PC6 is critical for implantation in mice and for decidualization of human endometrial stromal cells (ESCs). This study investigated the endometrial expression of other PCs during the menstrual cycle and early pregnancy to elucidate potential redundancies. Furin, PC4, PACE4, and PC7 along with PC6 transcripts were detected in total endometrial RNA, whereas PC1 and PC2 transcription levels were negligible. Quantitative RT-PCR demonstrated highest levels of furin mRNA during menstruation and lowest levels during the proliferative phase. Furin protein was immunolocalized in endometrial luminal and glandular epithelia, stromal fibroblasts, endothelia, and leukocytes. PACE4 and PC7 proteins were also immunodetected in endometrial stroma and glands. Total furin, PC7, and PACE4 proteins were constitutive in both stromal and glandular compartments throughout the cycle and during first trimester pregnancy. Furthermore, Furin and PC7 transcription was unaltered during decidualization of ESCsin vitroin contrast to PC6 which is significantly up-regulated during decidualization. Thus, whereas PC6 is tightly regulated during endometrial preparation for implantation, furin, PACE4, and PC7 are constitutively expressed in human endometrium, but must be considered if PC6 is to be targeted for manipulation of fertility.

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Yang, Sheng Long, Yang Wu, Cui Hua Wang, Hong Xia Yu, and Lian Sheng Wang. "Genetic Algorithm Applied to the Selection of Factors in Principal Component: ASQR Study of Aromatic Hydrocarbons Toxicity to Chlorella Vulgaris." Applied Mechanics and Materials 321-324 (June 2013): 2065–70. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2065.

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Marine ecosystems are affected by aromatic hydrocarbons. The predicting ability based on the quantitative structureactivity relationships (QSAR) model of unknown aromatic hydrocarbons toxicity is one of the tasks of security precaution. To establish the QSAR model between the physical and chemical properties of aromatic hydrocarbons and the inhibited activity of Chlorella vulgaris(C. Vulgaris), the optimized geometries, based on the 96 hr-EC50 of 25 aromatic hydrocarbons with C. Vulgaris were carried out at the B3LYP/6-311G** level by density functional theory (DFT) calculation. With matlab2 010(a) software, genetic algorithm principal components regression (GAPCR) methods was used to develop the QSAR model and compared to traditional PCR model. PC1+PC3+PC5+PC6+PC8 were finally selected by GAPCR method. The of training, prediction data set and LOO cross validation are 0.918, 0.956 and 0.933, respectively. Meanwhile, the results of PCR were 0.949, 0.755 and 0.825, respectively. The results of this work showed that the GAPCR method has great results and good generalization capability. Comparing two motheds results indicting that GAPCR gives superior results to traditional PCR procedure.

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Gibson, Sigrid, and Margaret Ashwell. "Dietary patterns among British adults: compatibility with dietary guidelines for salt/sodium, fat, saturated fat and sugars." Public Health Nutrition 14, no. 8 (May 6, 2011): 1323–36. http://dx.doi.org/10.1017/s1368980011000875.

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AbstractObjectiveTo examine dietary patterns among British adults, associations with Na and macronutrient intakes, and implications for dietary advice.DesignPrincipal component analysis of 7 d weighed dietary records.SubjectsAdults aged 19–64 years (n 1724).SettingNational Diet and Nutrition Survey (2000/2001).ResultsHigh Na intake was associated with more energy-dense diets, higher in fat and SFA (percentage of energy) but lower in non-milk extrinsic sugars (NMES). Eight patterns (PC1 to PC8) explained 40 % of the total variance in food intakes. Three patterns – PC3 (high loadings on bread, fats and cheese), PC2 (meat products, eggs and chips) and PC7 (red meat, sauces and alcohol) – were associated with high Na intake. Of these, PC3 correlated with high Na density and Na:K ratio, while PC2 correlated with fat. By contrast, three patterns – ‘health-conscious’ (PC1; vegetables, fruit, fruit juice, fish), ‘breakfast cereals and milk’ (PC6) and ‘chicken and rice’ (PC8) – were associated with modest Na intake, lower Na density and lower fat and SFA. PC2 was positively correlated, and PC1 was negatively correlated, with adding salt to food. Other patterns were ‘tea/coffee and cakes’ (PC4; associated with high SFA and NMES) and ‘soft drinks and snacks’ (PC5; associated with high NMES but not fat or SFA). The dietary patterns of males and females differed slightly.ConclusionsDietary patterns PC1, PC6, PC8 (vegetables, fruit, fish, milk, breakfast cereals, poultry) were broadly compatible with guidelines for salt, fat, SFA and NMES. However, other patterns tended to be high in either salt or NMES.

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Jensen, Matt, Trent Stellingwerff, Courtney Pollock, James Wakeling, and Marc Klimstra. "Can Principal Component Analysis Be Used to Explore the Relationship of Rowing Kinematics and Force Production in Elite Rowers during a Step Test? A Pilot Study." Machine Learning and Knowledge Extraction 5, no. 1 (February 17, 2023): 237–51. http://dx.doi.org/10.3390/make5010015.

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Investigating the relationship between the movement patterns of multiple limb segments during the rowing stroke on the resulting force production in elite rowers can provide foundational insight into optimal technique. It can also highlight potential mechanisms of injury and performance improvement. The purpose of this study was to conduct a kinematic analysis of the rowing stroke together with force production during a step test in elite national-team heavyweight men to evaluate the fundamental patterns that contribute to expert performance. Twelve elite heavyweight male rowers performed a step test on a row-perfect sliding ergometer [5 × 1 min with 1 min rest at set stroke rates (20, 24, 28, 32, 36)]. Joint angle displacement and velocity of the hip, knee and elbow were measured with electrogoniometers, and force was measured with a tension/compression force transducer in line with the handle. To explore interactions between kinematic patterns and stroke performance variables, joint angular velocities of the hip, knee and elbow were entered into principal component analysis (PCA) and separate ANCOVAs were run for each performance variable (peak force, impulse, split time) with dependent variables, and the kinematic loading scores (Kpc,ls) as covariates with athlete/stroke rate as fixed factors. The results suggested that rowers’ kinematic patterns respond differently across varying stroke rates. The first seven PCs accounted for 79.5% (PC1 [26.4%], PC2 [14.6%], PC3 [11.3%], PC4 [8.4%], PC5 [7.5%], PC6 [6.5%], PC7 [4.8%]) of the variances in the signal. The PCs contributing significantly (p ≤ 0.05) to performance metrics based on PC loading scores from an ANCOVA were (PC1, PC2, PC6) for split time, (PC3, PC4, PC5, PC6) for impulse, and (PC1, PC6, PC7) for peak force. The significant PCs for each performance measure were used to reconstruct the kinematic patterns for split time, impulse and peak force separately. Overall, PCA was able to differentiate between rowers and stroke rates, and revealed features of the rowing-stroke technique correlated with measures of performance that may highlight meaningful technique-optimization strategies. PCA could be used to provide insight into differences in kinematic strategies that could result in suboptimal performance, potential asymmetries or to determine how well a desired technique change has been accomplished by group and/or individual athletes.

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Bijarania, Subhash, Anil Pandey, Mainak Barman, Monika Shahani, and Gharsi Ram. "Assesment of divergence among soybean [Glycine max (L.) Merrill] genotypes based on phenological and physiological traits." Environment Conservation Journal 23, no. 1&2 (February 11, 2022): 72–82. http://dx.doi.org/10.36953/ecj.021808-2117.

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A study was conducted to understand genetic divergence in Randomized complete block design accommodating 30 soybean [Glycine max (L.) Merrill] genotypes randomly in three replications. These genotypes were evaluated for twenty-seven traits: five phenological, nine agro-morphological, eight physiological traits (from field-trial) and five physiological traits (from laboratory experiment) recorded and subjected to PCA (Principal Component Analysis) and cluster analysis. Among all the studied cultivars, significant diversity, as well as analysis of dispersion, was recorded for different agro-morphological characters. D2-statistic (Tocher method) framed (generalized distance-based) nine clusters: largest with eight and five were oligo-genotypic. Harvest index>seed yield per plant>germination relative index>seedling dry weight contributed maximum towards total divergence. From the most divergent clusters, 21 crosses involving cluster v genotypes (PS-1347, RKS-18, PS-1092, NRC-142, VLS-94, NRC-136, and Shalimar Soybean-1) with monogenotypic cluster VII (AMS-2014), VIII (RSC-11-15) and III (RSC-10-71) suggested for future hybridization. Out of eighteen, only eight principal components revealed more than 1.00 eigen value and exhibited about 85.03% variability among the traits studied. The highest variability (25.41%) by PC1 followed by PC2 (15.60%), PC3 (12.35%), PC4 (10.13%), PC5 (7.20%), PC6 (5.43%), PC7 (4.80%) and PC8 (4.11%) for characters under study.

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Kwon, Ki-Rok, Seung-Il Baek, and Suk-Ho Choi. "Identification of Fel ursi and Cattle and Pig Bile Juices by speciesspecific PCR and PCR-RFLP." Journal of Korean Institute of Herbal Acupuncture 12, no. 1 (March 30, 2009): 13–20. http://dx.doi.org/10.3831/kpi.2009.12.1.013.

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8

Alkhasawneh, Mutasem Shabeb. "Software Defect Prediction through Neural Network and Feature Selections." Applied Computational Intelligence and Soft Computing 2022 (September 26, 2022): 1–16. http://dx.doi.org/10.1155/2022/2581832.

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Software failure such as software defect causes billion of dollar loss every year. Software failure also affects billion of people worldwide. Inadequate software testing can cause software failure. To predict the software defect, this study proposed a model consisting of feature selection and classifications. The correlation base method was used for feature selection, and radial base function neural network (RBF) was used for classification. Also, for testing the proposed system, fourteen NASA data sets were used including CM1, JM1, KC1, KC2, KC3, KC4, MC1, MC2, MW1, PC1, PC2, PC3, PC4, and PC5. The data set was divided using the well-known K-cross-validation methods which were performed to divide the data set for training and testing the RBF. The RBF were trained and tested before and after feature selections. Precision, recall, F-measure, and accuracy are four methods used to evaluate the performance of the proposed methods. The precision obtained for the fourteen data sets was CM1, 94.01%; JM1, 85.18%; KC1, 83.24%; KC2, 81.27%; KC3, 79.30%; KC4, 85.29%; MC1, 99.89%; MC2, 73.27%; MW1, 90.90%; PC1, 98.79%; PC2, 100%; PC3, 95.67%; PC4, 95.12%; and PC5, 80.89%. Recall was as follows: CM1, 95.78%; JM1, 87.89%; KC1, 86.24%; KC2, 83.82%; KC3, 82.10%; KC4, 86.28%; MC1, 100%; MC2, 76.67%; MW1, 92.09%; PC1, 99.98%; PC2, 100%; PC3, 96.23%; PC4, 95.17%; and PC5, 81.80%. F-measure was as follows: CM1, 0.95; JM1, 0.87; KC1, 0.83; KC2, 0.82; KC3, 0.85; KC4, 0.86; MC1, 0.99; MC2, 0.76; MW1, 0.95; PC1, 0.99; PC2, 0.99; PC3, 0.97; PC4, 0.95; and PC5, 0.80. The accuracy obtained was as follows: CM1, 93.99%; JM1, 84.87%; KC1, 83.25%; KC2, 79.11%; KC3, 78.25%; KC4, 83.18%; MC1, 99.01%; MC2, 70.18%; MW1, 88.90%; PC1, 98.99%; PC2, 99.80%; PC3, 94.11%; PC4, 94.4%; and PC5, 79.02%. The proposed method results were compared with the result obtained from different methods. The proposed model obtained better results than other methods for data set CM1, KC4, MC1, PC1, PC2, PC3, PC4, and PC5.

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Kondi, Ravi, Sonali Kar, and Soumya Surakanti. "Agro-morphological and biochemical characterization and principal component analysis for yield and quality characters in fine-scented rice genotypes." Genetika 54, no. 3 (2022): 1005–21. http://dx.doi.org/10.2298/gensr2203005k.

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Forty-one fine-scented rice genotypes were evaluated for 18 agro-morphological and quality characters for characterization, and 21 quantitative characters were evaluated for principal component analysis in R-studio software. Characterization of agro-morphological traits viz., plant height, days to 50% flowering, panicle length, number of effective tillers per plant, test weight, grain length, grain breadth, grain L: B ratio, kernel length, kernel breadth, kernel dimensions, awns, colour of awns, distribution of awns, and quality traits viz., alkali spreading value, gel consistency, grain aroma, and amylose content showed huge diversity among the genotypes. PCA revealed that PC1 showed the highest amount of variance (32.0%) followed by PC2 (15.7%), PC3 (9.0%), PC4 (8.1%), PC5 (7.8%), PC6 (5.4%) for quantitative characters. Out of 21 principal components, only 6 showed an eigenvalue greater than 1 and contributes about 78.1% total variance Genotypes in PC1 showed higher values for grain L: B ratio and kernel L: B ratio. Similarly, PC2 showed higher variable values for characters like test weight, kernel length, grain length, grain breadth, alkali spreading value, grain yield per plot and amylose content. PC3 for harvest index, panicle length, gel consistency, no. of effective tillers per plant and head rice recovery. PC4 for characters like plant height, kernel breadth and days to 50% flowering. PC5 for characters like kernel elongation ratio, and filled grains per panicle. PC6 for characters like no. of tillers in a square meter and no. of panicles in a square meter. This pre-breeding characterization study may be useful in finding potential genotypes which are having both yield and quality characters which may be useful in breeding for high-yielding varieties with good-quality characters.

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Cobos Cuesta, R. "Postoperative PCR." Cirugía Andaluza 31, no. 4 (November 10, 2020): 512–14. http://dx.doi.org/10.37351/2020314.9.

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11

BRUZZANITI, Angela, Katrina GOODGE, Philippe JAY, Sylvie A. TAVIAUX, Mark H. C. Lam, Philippe BERTA, John T. MARTIN, Jane M. MOSELEY, and Matthew T. GILLESPIE. "PC8 [corrected], a new member of the convertase family." Biochemical Journal 314, no. 3 (March 15, 1996): 727–31. http://dx.doi.org/10.1042/bj3140727.

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A novel subtilisin-like protein, PC8, was identified by PCR using degenerate primers to conserved amino acid residues in the catalytic region of members of the prohormone convertase family. PC8 was predicted to be 785 residues long and was structurally related to the mammalian convertases furin, PACE4, PC1 and PC2, sharing more than 50% amino acid identity over the catalytic region with these family members. PC8 possessed the catalytically important Asp, His, Asn and Ser amino acids, the homo B domain of this family of enzymes and a C-terminal hydrophobic sequence indicative of a transmembrane domain. Structurally, PC8 is more related to furin and PACE4 than to PC1 or PC2. Like furin and PACE4, PC8 mRNA was found to be widely expressed; this is in contrast with PC1 and PC2, which have a restricted distribution. Two transcripts, of 4.5 and 3.5 kb, were detected in both human cell lines and rat tissues. Unlike furin and PACE4, both of which map to chromosome 15, PC8 maps to chromosome 11q23–11q24, suggesting that this gene may have resulted from an ancient gene duplication event from either furin or PACE4, or conversely that these genes arose from PC8.

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Germanaud, D., S. Audollent, J. Augé, M. Vekemans, and T. Attié-Bitach. "Détection moléculaire des aneuploïdies les plus fréquentes par PCR quantitative fluorescente (FQ-PCR)." Archives de Pédiatrie 10, no. 4 (April 2003): 347–49. http://dx.doi.org/10.1016/s0929-693x(03)00080-0.

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13

Kang, Won, Sang-Bum Park, Youn-Hyoung Nam, Young-Chang An, Sang-Hyun Lee, Won-Cheoul Jang, Su-Min Park, Jong-Wan Kim, and Song-Chun Chong. "Detection of Hepatitis B Virus Using Micro-PCR and Real-Time PCR Methods." Journal of the Korean Chemical Society 51, no. 1 (February 20, 2007): 36–42. http://dx.doi.org/10.5012/jkcs.2007.51.1.036.

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14

Furet, Jean-Pierre, Pascal Quenée, and Patrick Tailliez. "Quantification de bactéries lactiques par PCR quantitative." Sciences des Aliments 22, no. 3 (June 28, 2002): 265–75. http://dx.doi.org/10.3166/sda.22.265-275.

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15

Furet, Jean-Pierre, Pascal Quenée, and Patrick Tailliez. "Quantification de bactéries lactiques par PCR quantitative." Sciences des Aliments 22, no. 1-2 (April 28, 2002): 33–44. http://dx.doi.org/10.3166/sda.22.33-44.

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16

Baty, Gaëlle, Philippe Lanotte, Laurent Hocqueloux, Laurent Bret, Didier Marc Poisson, Anne Heitzmann, and Alain Goudeau. "Une syphilis atypique diagnostiquée par PCR « universelle »." La Presse Médicale 38, no. 3 (March 2009): 496–98. http://dx.doi.org/10.1016/j.lpm.2008.07.010.

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17

Filleur, S., I. Wieland, T. Nelius, R. Kennedy, W. De Riese, and P. Wieacker. "Deleted In Cancer 1 (DICE1): Search for a function in prostate carcinoma (PCa)." Journal of Clinical Oncology 25, no. 18_suppl (June 20, 2007): 15634. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.15634.

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15634 Background: Recently, DICE1 gene (MIM 604331 ) was identified to colocalize with the microsatellite marker D13S284 in 13q14.3, a region frequently affected by allelic deletion in PCa. We previously showed that DICE1 mRNA expression is down-regulated in PCa cell lines compared to normal prostate tissue, due to DICE1 promoter hypermethylation; suggesting that DICE1 is a tumor suppressor gene. Methods: Human PCa cell lines PC3 and DU145 were lipo-transfected with mammalian expression plasmids encoding for the full length DICE1 gene or for its N- (APAI construct) and C-terminal (DEAD construct) fragments. The constructs expression was determined by semi-quantitative PCR and quantified by Real-time PCR. Clonogenic formation and apoptotic assays were performed. Results: The PCR analysis showed that the expression of DICE1, APAI and DEAD domains in transfected PC3 and DU145 cell lines was increased 30.6, 75.2 and 27.9 fold in PC3 cells and 4.3, 5 and 2.5 fold in DU145 cells, respectively, compared to non-transfected cells. The function analysis showed that the ectopic expression of DICE1 suppressed clonogenic growth of PC3 and DU145 cell lines. Surprisingly, we showed that like DICE1, DEAD and APAI inhibit the PC3 and DU145 clonogenic growth suggesting that both regions are involved in prostate tumor growth inhibition. The apoptosis assay could not show any DNA fragmentation activity for DICE1. Conclusions: We demonstrated that DICE1 is a tumor suppressor in PCa. DICE1 mRNA expression is down-regulated in PCa cell lines compared to normal prostate tissue and its ectopic expression in PCa cell lines inhibits their capacity to form clonogenic colonies in vitro. The functional analysis could not reveal any role of DICE1 in PCa apoptosis, suggesting that other molecular mechanisms are involved. No significant financial relationships to disclose.

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18

Schultze, Michael. "PCR." Heredity 86, no. 4 (April 2001): 513–14. http://dx.doi.org/10.1046/j.1365-2540.2001.0934d.x.

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19

Gillis, Tom. "PCR." Preventive Veterinary Medicine 32, no. 1-2 (September 1997): 143–44. http://dx.doi.org/10.1016/s0167-5877(96)01126-9.

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20

Pannetier, Christophe. "PCR." Immunology Today 17, no. 12 (December 1996): 590. http://dx.doi.org/10.1016/s0167-5699(97)84209-0.

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21

Thomas, C. J. R. "PCR." Molecular Biotechnology 2, no. 1 (August 1994): 104. http://dx.doi.org/10.1007/bf02789294.

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22

Ellison, Jane S. "PCR." Trends in Cell Biology 4, no. 7 (July 1994): 269. http://dx.doi.org/10.1016/0962-8924(94)90130-9.

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23

Syvänen, Ann-Cristine. "PCR." FEBS Letters 344, no. 2-3 (May 16, 1994): 269. http://dx.doi.org/10.1016/0014-5793(94)80649-7.

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24

Niemeyer, Christof M., and Dietmar Blohm. "Protein-Nachweis mit PCR (Immuno-PCR)." Nachrichten aus Chemie, Technik und Laboratorium 44, no. 5 (May 1996): 481–82. http://dx.doi.org/10.1002/nadc.19960440509.

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Sholihin. "AMMI stability for starch yield of cassava in the acid area for determining clones’ stability." E3S Web of Conferences 306 (2021): 01005. http://dx.doi.org/10.1051/e3sconf/202130601005.

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The study aimed to evaluate the phenotypic stability of cassava promising clones’ cassava clones in acidic regions based on AMMI stability. The study was done during 2015-2018 in several environments in Lampung. The study was done using a randomized complete block design with three replications. Plants were planted in 5 m x 4.8 m plot size, with 1 m distance between rows and 0.8 m within row. The plants were fertilized with 93 kg N, 36 kg P2O5 and 60 kg K2O per hectare. Seven cassava promising clones and two check varieties were used in this study. Data were analyzed using Excel, MSTAT-C and PBTOOLs. Research showed that compared with clone PC2, PC3, PC5 and clone PC7, clone PC1, PC4, PC6, UJ3 and clone UJ5 are more stable. According to the AMMI analysis, based on the seven-month starch yield, the important environmental factors that determined the stability of cassava clones are the content of N and P2O5 in the upper soil layer and the cation exchange capacity ground. The starch yield in seven months of PC4 was the highest among the clones. Clone PC4 is potential to be developed in acid area.

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Lee, Siwon, Eun-Ha Kang, Yong-Gil Shin, and Su-Heon Lee. "Development of RT-PCR and Nested PCR for Detecting Four Quarantine Plant Viruses Belonging to Nepovirus." Research in Plant Disease 19, no. 3 (September 30, 2013): 220–25. http://dx.doi.org/10.5423/rpd.2013.19.3.220.

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Freiberger, Tomáš. "PCR diagnosis of infectious diseases." Vnitřní lékařství 63, no. 7-8 (July 1, 2017): 472–74. http://dx.doi.org/10.36290/vnl.2017.098.

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Lee, Si Won, Yong-Gil Shin, Jin-Young Lee, Young-Suk Kim, Mi Hee Yang, and In-Cheol Choi. "Development of a diagnostic system to detect potato virus T using RT-PCR and nested PCR." CNU Journal of Agricultural Science 42, no. 2 (June 30, 2015): 99–103. http://dx.doi.org/10.7744/cnujas.2015.42.2.099.

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29

Clementi, M., S. Menzo, P. Bagnarelli, A. Manzin, A. Valenza, and P. E. Varaldo. "Quantitative PCR and RT-PCR in virology." Genome Research 2, no. 3 (February 1, 1993): 191–96. http://dx.doi.org/10.1101/gr.2.3.191.

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Lanar, D. E., and K. C. Kain. "Expression-PCR (E-PCR): overview and applications." Genome Research 4, no. 2 (October 1, 1994): S92—S96. http://dx.doi.org/10.1101/gr.4.2.s92.

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Karaca, Mehmet, Ayse Gul Ince, Saadet Tugrul Ay, Kenan Turgut, and Ahmet Naci Onus. "PCR-RFLP and DAMD-PCR genotyping forSalviaspecies." Journal of the Science of Food and Agriculture 88, no. 14 (November 2008): 2508–16. http://dx.doi.org/10.1002/jsfa.3372.

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Rubi, Ghazala, Sahr Malik, and Mubeshra Jamil. "Comparison of Quantitative Hepatitis B Virus DNA Real Time PCR (RT-PCR) with Reverse Transcription PCR (rt-PCR)." Acta Scientific Gastrointestinal Disorders 2, no. 6 (July 3, 2019): 02–05. http://dx.doi.org/10.31080/asgis.2019.02.0054.

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Li, Xiaoying, Lu Fu, Changlong Chen, Wangwang Sun, Yu Tian, and Hua Xie. "Characteristics and Rapid Diagnosis of Pectobacterium carotovorum ssp. Associated With Bacterial Soft Rot of Vegetables in China." Plant Disease 104, no. 4 (April 2020): 1158–66. http://dx.doi.org/10.1094/pdis-05-19-1033-re.

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Pectobacterium carotovorum, a causal agent of vegetable soft rot, contains three valid subspecies: P. carotovorum subsp. carotovorum (Pcc), P. carotovorum subsp. brasiliensis (Pcb), and P. carotovorum subsp. odoriferum (Pco). Using 16S rDNA sequencing and genus-specific PCR, we identified 72 P. carotovorum strains from Chinese cabbage, bok choy, and celery and assessed their pathogenicity on Chinese cabbage petioles and potato tubers. Based on phylogenetic analysis of pmrA sequences and confirmation by subspecies-specific PCR, the strains were divided into 18 Pcc, 29 Pco, and 25 Pcb. Several characteristic features were also assessed and supported the distinctiveness of the Pco strains. All P. carotovorum strains caused soft rot symptoms on Chinese cabbage and potato, but the Pco strains exhibited the greatest severity. We developed a conventional PCR and a quantitative PCR (qPCR) assay for the identification of Pco based on its specific srlE gene encoding sorbitol-specific phosphotransferase. These two methods could specifically amplify the expected products of 674 and 108 bp, respectively, from all of the Pco strains. The assays demonstrated high sensitivity and could detect as little as 1 and 100 pg/µl of bacterial genomic DNA, respectively. Both assays could also detect the pathogens directly from plant tissues infected with as little as 2.5 × 10−2 CFU/mg of Pco, even before external symptoms appeared. These assays constitute effective tools for disease diagnosis and the rapid identification of soft rot pathogens.

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Ségalat, L., and JA Lepesant. "Détection par PCR de mutations chez la drosophile." médecine/sciences 8, no. 7 (1992): 714. http://dx.doi.org/10.4267/10608/3208.

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Zamfir, O., H. Yera, T. Bourcier, L. Batellier, J. Dupouy-Camet, C. Tourte-Schaeffer, and C. Chaumeil. "Diagnostic par PCR des kératites à Acanthamoeba spp." Journal Français d'Ophtalmologie 29, no. 9 (November 2006): 1034–40. http://dx.doi.org/10.1016/s0181-5512(06)73892-x.

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Bianchi, A. "Diagnostic par PCR des infections à Chlamydia trachomatis." Revue Française des Laboratoires 1997, no. 292 (April 1997): 166–67. http://dx.doi.org/10.1016/s0338-9898(97)80069-8.

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Dupont, Damien, Céline Dupieux, Pascal Gaucherand, and Martine Wallon. "Diagnostic fortuit de Trichomonas vaginalis par PCR panfongique." Journal de Mycologie Médicale 27, no. 3 (September 2017): e40. http://dx.doi.org/10.1016/j.mycmed.2017.04.093.

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38

Dorson, O., and F. Doucet-Populaire. "Le diagnostic biologique de la coqueluche par PCR." Journal de Pédiatrie et de Puériculture 12, no. 8 (December 1999): 474–79. http://dx.doi.org/10.1016/s0987-7983(99)80138-8.

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39

Girard, L., B. Pron, P. Jégo, A. Le Strat, B. Grosbois, and R. Leblay. "Confirmation diagnostique d'une maladie de Whipple par PCR." La Revue de Médecine Interne 17 (January 1995): S186. http://dx.doi.org/10.1016/0248-8663(96)86755-5.

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Usluca, Selma, and Bekir Çelebi. "Plasmodium spp.’nin Saptanmasında Multipleks Nested PCR, In-house Gerçek Zamanlı PCR ve Ticari Gerçek Zamanlı PCR Yöntemlerinin Karşılaştırılması." Mikrobiyoloji Bulteni 54, no. 2 (April 15, 2020): 306–17. http://dx.doi.org/10.5578/mb.69011.

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Datta, Sibnarayan, Raghvendra Budhauliya, Soumya Chatterjee, Vanlalhmuaka, Vijay Veer, and Runu Chakravarty. "Enhancement of PCR Detection Limit by Single-Tube Restriction Endonuclease-PCR (RE-PCR)." Molecular Diagnosis & Therapy 20, no. 3 (March 18, 2016): 297–305. http://dx.doi.org/10.1007/s40291-016-0195-2.

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CIESIELSKA, ANITA, MAGDALENA KOZŁOWSKA, MAREK GADZALSKI, MARIUSZ WOREK, ADAM JAWORSKI, and PAWEŁ STĄCZEK. "Application of Microsatellite-Primed PCR (MSP-PCR) and PCR Melting Profile (PCR-MP) Method for Intraspecies Differentiation of Dermatophytes." Polish Journal of Microbiology 63, no. 3 (2014): 283–90. http://dx.doi.org/10.33073/pjm-2014-038.

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In this study, two PCR-based methods (MSP-PCR and PCR-MP) were compared for their abilities to identify intraspecies variations of 23 isolates of Trichophyton rubrum, 78 isolates of Trichophyton interdigitale and 22 isolates of Microsporum canis, obtained mainly from patients in Lódź city. The results allowed to distinguish four types (containing two subtypes) characteristic for T. interdigitale and three types characteristic for T. rubrum using PCR-MP method. Analysis conducted using MSP-PCR with (GACA)4 primer revealed four types for T. rubrum and three types (containing one subtype) for T. interdigitale and with (GTG), primer showed two types (containing one subtype) for T. rubrum and six types (containing one subtype) for T. interdigitale. No differentiation was observed for the M. canis isolates with either method.

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Rigotto, C., T. C. M. Sincero, C. M. O. Simões, and C. R. M. Barardi. "Detection of adenoviruses in shellfish by means of conventional-PCR, nested-PCR, and integrated cell culture PCR (ICC/PCR)." Water Research 39, no. 2-3 (January 2005): 297–304. http://dx.doi.org/10.1016/j.watres.2004.10.005.

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Abarza, Liliann, Pablo Acuña-Mardones, Cristina Sanzana-Luengo, and Víctor Beltrán. "Determination of Morphogeometric Patterns in Individuals with Total Mandibular Edentulism in the Interforaminal Region from Cone Beam Computed Tomography (CBCT) Scans: A Pilot Study." Applied Sciences 12, no. 8 (April 10, 2022): 3813. http://dx.doi.org/10.3390/app12083813.

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The aim of this study was to determine the morphogeometric patterns of the interforaminal region from cone beam computed tomography (CBCT) scans of individuals with total mandibular edentulism. CBCT images were obtained from 40 patients with total edentulism who are older (12 men and 28 women; average age of 69.5 ± 9.4 years) and who wore a non-implant-supported, lower, removable, total prosthesis. We conducted a two-dimensional (2D) morphogeometric analysis of the Digital Imaging and Communication in Medicine (DICOM) files from the CBCT scans, and five equidistant cross sections were planned. For the three-dimensional (3D) morphogeometric analysis, standard triangular language (STL) files were obtained after segmentation of the interforaminal mandibular region, and four anatomical landmarks and their respective curves were digitized. The patterns among the shapes were determined using principal component analysis (PCA) on MorphoJ software (version 1.07a). The results of the 2D morphogeometric analyses for PCA of the interforaminal mandibular paramedian region were PC1 or elongated drop shape, 54.78%; PC2 or wineskin shape, 17.65%; PC3 or pear shape, 11.77%; and PC4 or eggplant shape, 5.71%, and those for PCA of the symphyseal region were PC1 or elongated drop shape, 62.13%; PC2 or ovoid shape, 11.64%; PC3 or triangular shape, 9.71%; and PC4 or tuber shape, 4.96%. The results of the 3D morphogeometric analyses for the interforaminal hemimandibular region were PC1, 59.83%; PC2, 10.39%; PC3, 7.67%; and PC4, 5.09%. This study provides relevant information for future clinical guidelines on prosthetics and implants, in addition to proposing the use of new technologies that support diagnosis and treatment in patients with edentulism.

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Figueroa, Julio Vicente, J. A. Alvarez, J. A. Ramos, C. A. Vega, and G. M. Buening. "Utilisation d’un test multiple basé sur la réaction de polymérase en chaîne pour des enquêtes épidémiologiques sur les hémoparasites des bovins au Mexique." Revue d’élevage et de médecine vétérinaire des pays tropicaux 46, no. 1-2 (January 1, 1993): 71–75. http://dx.doi.org/10.19182/remvt.9401.

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Une étude a été effectuée sur la possibilité d'appliquer la technique de la réaction de polymérase en chaîne (PCR) pour la détection simultanée des hémoparasites bovins Babesia bigemina, B. bovis et Anaplasma marginale. Des échantillons de sang de bovins ont été récoltés dans des ranches d'une zone endémique identifiée au préalable dans la péninsule de Yucatan au Mexique, et ont été préparés pour analyse par PCR. Ils ont été soumis à l'amplification de l'ADN dans un tube à réaction contenant des amorces d'oligonucléotides spécifiques pour l'ADN de chaque espèce d'hémoparasite. Les produits de la PCR ont été détectés par hybridation en Dot-Blot de l'acide nucléique utilisant des sondes d'ADN non-radioactives, spécifiques, marquées à la digoxigénine par PCR. 420 échantillons analysés par le test multiple PCR-sonde ADN ont montré des taux de prévalence de 66,7 %, 60,1 et 59,6 % pour B. bigemina, B. bovis et A. marginale, respectivement. L'analyse multiple par PCR a montré que des animaux ayant des infections simples, doubles ou triples pouvaient être détectés par les sondes d'ADN spécifiques. La procédure est proposée comme un outil de valeur pour l'analyse épidémiologique dans les régions où ces espèces d'hémoparasites infectent les bovins simultanément.

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NAKAYAMA, Kazuhisa. "Furin: a mammalian subtilisin/Kex2p-like endoprotease involved in processing of a wide variety of precursor proteins." Biochemical Journal 327, no. 3 (November 1, 1997): 625–35. http://dx.doi.org/10.1042/bj3270625.

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Limited endoproteolysis of inactive precursor proteins at sites marked by paired or multiple basic amino acids is a widespread process by which biologically active peptides and proteins are produced within the secretory pathway in eukaryotic cells. The identification of a novel family of endoproteases homologous with bacterial subtilisins and yeast Kex2p has accelerated progress in understanding the complex mechanisms underlying the production of the bioactive materials. Seven distinct proprotein convertases of this family (furin, PC2, PC1/PC3, PC4, PACE4, PC5/PC6, LPC/PC7/PC8/SPC7) have been identified in mammalian species, some having isoforms generated via alternative splicing. The family has been shown to be responsible for conversion of precursors of peptide hormones, neuropeptides, and many other proteins into their biologically active forms. Furin, the first proprotein convertase to be identified, has been most extensively studied. It has been shown to be expressed in all tissues and cell lines examined and to be mainly localized in the trans-Golgi network, although some proportion of the furin molecules cycle between this compartment and the cell surface. This endoprotease is capable of cleaving precursors of a wide variety of proteins, including growth factors, serum proteins, including proteases of the blood-clotting and complement systems, matrix metalloproteinases, receptors, viral-envelope glycoproteins and bacterial exotoxins, typically at sites marked by the consensus Arg-Xaa-(Lys/Arg)-Arg sequence. The present review covers the structure and function of mammalian subtilisin/Kex2p-like proprotein convertases, focusing on furin (EC 3.4.21.85)

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Kadkol, Shrihari S. "PCR Protocols." Archives of Pathology & Laboratory Medicine 128, no. 6 (June 1, 2004): 715–16. http://dx.doi.org/10.5858/2004-128-716-pp.

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Holden, Constance. "PCR Regulations." Science 255, no. 5047 (February 21, 1992): 927. http://dx.doi.org/10.1126/science.255.5047.927.d.

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Eisenstein, Michael. "Junkyard PCR." Nature Methods 3, no. 1 (January 2006): 8. http://dx.doi.org/10.1038/nmeth0106-8a.

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Martin, Joseph. "Updating PCR." BioTechniques 67, no. 1 (July 2019): 3–5. http://dx.doi.org/10.2144/btn-2019-0076.

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