Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

MeltMan: Optimization, Evaluation, and Universal Application of a qPCR System Integrating the TaqMan qPCR and Melting Analysis into a Single Assay

A. Nagy, L. Černíková, E. Vitásková, V. Křivda, Á. Dán, Z. Dirbáková, H. Jiřincová, B. Procházka, K. Sedlák, M. Havlíčková,

. 2016 ; 11 (3) : e0151204. [pub] 20160331

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc16027561

In the present work, we optimised and evaluated a qPCR system integrating 6-FAM (6-carboxyfluorescein)-labelled TaqMan probes and melting analysis using the SYTO 82 (S82) DNA binding dye in a single reaction. We investigated the influence of the S82 on various TaqMan and melting analysis parameters and defined its optimal concentration. In the next step, the method was evaluated in 36 different TaqMan assays with a total of 729 paired reactions using various DNA and RNA templates, including field specimens. In addition, the melting profiles of interest were correlated with the electrophoretic patterns. We proved that the S82 is fully compatible with the FAM-TaqMan system. Further, the advantages of this approach in routine diagnostic TaqMan qPCR were illustrated with practical examples. These included solving problems with flat or other atypical amplification curves or even false negativity as a result of probe binding failure. Our data clearly show that the integration of the TaqMan qPCR and melting analysis into a single assay provides an additional control option as well as the opportunity to perform more complex analyses, get more data from the reactions, and obtain analysis results with higher confidence.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc16027561
003      
CZ-PrNML
005      
20171127121309.0
007      
ta
008      
161005s2016 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0151204 $2 doi
024    7_
$a 10.1371/journal.pone.0151204 $2 doi
035    __
$a (PubMed)27031831
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Nagy, Alexander $u Laboratory of Molecular Methods, State Veterinary Institute Prague, Prague, Czech Republic. National Reference Laboratory for Influenza, National Institute of Public Health, Prague, Czech Republic.
245    10
$a MeltMan: Optimization, Evaluation, and Universal Application of a qPCR System Integrating the TaqMan qPCR and Melting Analysis into a Single Assay / $c A. Nagy, L. Černíková, E. Vitásková, V. Křivda, Á. Dán, Z. Dirbáková, H. Jiřincová, B. Procházka, K. Sedlák, M. Havlíčková,
520    9_
$a In the present work, we optimised and evaluated a qPCR system integrating 6-FAM (6-carboxyfluorescein)-labelled TaqMan probes and melting analysis using the SYTO 82 (S82) DNA binding dye in a single reaction. We investigated the influence of the S82 on various TaqMan and melting analysis parameters and defined its optimal concentration. In the next step, the method was evaluated in 36 different TaqMan assays with a total of 729 paired reactions using various DNA and RNA templates, including field specimens. In addition, the melting profiles of interest were correlated with the electrophoretic patterns. We proved that the S82 is fully compatible with the FAM-TaqMan system. Further, the advantages of this approach in routine diagnostic TaqMan qPCR were illustrated with practical examples. These included solving problems with flat or other atypical amplification curves or even false negativity as a result of probe binding failure. Our data clearly show that the integration of the TaqMan qPCR and melting analysis into a single assay provides an additional control option as well as the opportunity to perform more complex analyses, get more data from the reactions, and obtain analysis results with higher confidence.
650    _2
$a DNA sondy $x chemie $x metabolismus $7 D015342
650    _2
$a fluoresceiny $x chemie $7 D005452
650    _2
$a fluorescenční barviva $x chemie $7 D005456
650    _2
$a virus slintavky a kulhavky $x genetika $7 D029544
650    _2
$a virus chřipky A $x genetika $7 D009980
650    _2
$a nukleové kyseliny $x metabolismus $7 D009696
650    _2
$a změna skupenství $7 D044367
650    _2
$a RNA virová $x metabolismus $7 D012367
650    _2
$a kvantitativní polymerázová řetězová reakce $x metody $7 D060888
650    _2
$a Taq-polymerasa $x metabolismus $7 D019914
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Černíková, Lenka $u Laboratory of Molecular Methods, State Veterinary Institute Prague, Prague, Czech Republic.
700    1_
$a Vitásková, Eliška $u Laboratory of Molecular Methods, State Veterinary Institute Prague, Prague, Czech Republic.
700    1_
$a Křivda, Vlastimil $u Laboratory of Molecular Methods, State Veterinary Institute Prague, Prague, Czech Republic. Department of Virology and Serology, State Veterinary Institute Prague, Prague, Czech Republic.
700    1_
$a Dán, Ádám $u National Food Chain Safety Office, Veterinary Diagnostic Directorate, Molecular Biology Laboratory, Budapest, Hungary.
700    1_
$a Dirbáková, Zuzana $u Department of Virology, State Veterinary Institute Zvolen, Zvolen, Slovak Republic.
700    1_
$a Jiřincová, Helena $u National Reference Laboratory for Influenza, National Institute of Public Health, Prague, Czech Republic.
700    1_
$a Procházka, Bohumír, $d 1953-2017 $7 xx0075077 $u Department of Informatics and Biostatistics, National Institute of Public Health, Prague, Czech Republic.
700    1_
$a Sedlák, Kamil $u Department of Virology and Serology, State Veterinary Institute Prague, Prague, Czech Republic.
700    1_
$a Havlíčková, Martina $u National Reference Laboratory for Influenza, National Institute of Public Health, Prague, Czech Republic.
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 11, č. 3 (2016), s. e0151204
856    41
$u https://pubmed.ncbi.nlm.nih.gov/27031831 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20161005 $b ABA008
991    __
$a 20171127121435 $b ABA008
999    __
$a ok $b bmc $g 1165875 $s 952191
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2016 $b 11 $c 3 $d e0151204 $e 20160331 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20161005

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...