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dc.contributor.author
Alvarez, Mariano J.  
dc.contributor.author
Depino, Amaicha Mara  
dc.contributor.author
Podhajcer, Osvaldo Luis  
dc.contributor.author
Pitossi, Fernando Juan  
dc.date.available
2018-05-30T19:01:06Z  
dc.date.issued
2000-12  
dc.identifier.citation
Alvarez, Mariano J.; Depino, Amaicha Mara; Podhajcer, Osvaldo Luis; Pitossi, Fernando Juan; Bias in Estimations of DNA Content by Competitive Polymerase Chain Reaction; Academic Press Inc Elsevier Science; Analytical Biochemistry; 287; 1; 12-2000; 87-94  
dc.identifier.issn
0003-2697  
dc.identifier.uri
http://hdl.handle.net/11336/46706  
dc.description.abstract
Competitive PCR is a highly sensitive method for specific DNA quantification. Despite the lack of studies related to the accuracy of the method it has been widely used. Here we present a simulation model for competitive PCR, which takes into account the efficiency decay as a linear relationship of the total product yield. The model helped us to study the kind and magnitude of errors that arise from quantitative and semiquantitative competitive PCR protocols and to find ways to minimize them. The simulation data suggest that differences in amplification efficiency between target and standard templates induce stronger biases in quantitative than in semiquantitative competitive PCR. Quantitative competitive PCR can only be used when both efficiencies are equal. In contrast, semiquantitative competitive PCR can be used even when the target is amplified with a higher efficiency than the standard, since under such conditions the method tends to underestimate the differences in initial DNA content. These predictions have been confirmed with experimental data and show that the estimation of the amplification efficiencies is a prerequisite for the use of quantitative and semiquantitative competitive PCR. A simple method for this estimation is also presented.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Inc Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Competitive Pcr  
dc.subject
Amplification Efficiency  
dc.subject
Quantitative  
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Errors  
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Model  
dc.subject.classification
Neurociencias  
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Medicina Básica  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Bias in Estimations of DNA Content by Competitive Polymerase Chain Reaction  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-05-10T15:46:51Z  
dc.journal.volume
287  
dc.journal.number
1  
dc.journal.pagination
87-94  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Alvarez, Mariano J.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universidad de Buenos Aires; Argentina  
dc.description.fil
Fil: Depino, Amaicha Mara. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universidad de Buenos Aires; Argentina  
dc.description.fil
Fil: Podhajcer, Osvaldo Luis. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina  
dc.description.fil
Fil: Pitossi, Fernando Juan. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina  
dc.journal.title
Analytical Biochemistry  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1006/abio.2000.4823  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0003269700948231