Reverse transcription polymerase chain reaction

Reverse transcription polymerase chain reaction (RT-PCR) is a laboratory technique combining reverse transcription of RNA into DNA (in this context called complementary DNA or cDNA) and amplification of specific DNA targets using polymerase chain reaction (PCR).[1] It is primarily used to measure the amount of a specific RNA. This is achieved by monitoring the amplification reaction using fluorescence, a technique called real-time PCR or quantitative PCR (qPCR). Combined RT-PCR and qPCR are routinely used for analysis of gene expression and quantification of viral RNA in research and clinical settings.

"RT-PCR" redirects here. For real-time polymerase chain reaction, also called quantitative real time polymerase chain reaction (qPCR) or kinetic polymerase chain reaction, see Real-time polymerase chain reaction.
RT-PCR

The close association between RT-PCR and qPCR has led to metonymic use of the term qPCR to mean RT-PCR. Such use may be confusing,[2] as RT-PCR can be used without qPCR, for example to enable molecular cloning, sequencing or simple detection of RNA. Conversely, qPCR may be used without RT-PCR, for example to quantify the copy number of a specific piece of DNA.

Nomenclature

The combined RT-PCR and qPCR technique has been described as quantitative RT-PCR[3] or real-time RT-PCR[4] (sometimes even called quantitative real-time RT-PCR[5]), has been variously abbreviated as qRT-PCR,[6] RT-qPCR,[7], RRT-PCR.[8] and rRT-PCR.[9] In order to avoid confusion, the following abbreviations will be used consistently throughout this article:

TechniqueAbbreviation
Polymerase chain reactionPCR
Reverse transcription polymerase chain reactionRT-PCR
Real-time polymerase chain reactionqPCR
RT-PCR / qPCR combined techniqueqRT-PCR

Not all authors, especially earlier ones, use this convention and the reader should be cautious when following links. RT-PCR has been used to indicate both real-time PCR (qPCR) and reverse transcription PCR (RT-PCR).

History

Since its introduction in 1977, Northern blot has been used extensively for RNA quantification despite its shortcomings: (a) time-consuming technique, (b) requires a large quantity of RNA for detection, and (c) quantitatively inaccurate in the low abundance of RNA content.[10][11] However, the discovery of reverse transcriptase during the study of viral replication of genetic material led to the development of RT-PCR, which has since displaced northern blot as the method of choice for RNA detection and quantification.[12]

RT-PCR has risen to become the benchmark technology for the detection and/or comparison of RNA levels for several reasons: (a) it does not require post PCR processing, (b) a wide range (>107-fold) of RNA abundance can be measured, and (c) it provides insight into both qualitative and quantitative data.[5] Due to its simplicity, specificity and sensitivity, RT-PCR is used in a wide range of applications from experiments as simple as quantification of yeast cells in wine to more complex uses as diagnostic tools for detecting infectious agents such as the avian flu virus and SARS-CoV-2 (2019-nCoV) (COVID-19).[13][14][15]

Principles

In RT-PCR, the RNA template is first converted into a complementary DNA (cDNA) using a reverse transcriptase. The cDNA is then used as a template for exponential amplification using PCR. QT-NASBA is currently the most sensitive method of RNA detection available.[16] The use of RT-PCR for the detection of RNA transcript has revolutionalized the study of gene expression in the following important ways:

  • Made it theoretically possible to detect the transcripts of practically any gene[17]
  • Enabled sample amplification and eliminated the need for abundant starting material required when using northern blot analysis[18][19]
  • Provided tolerance for RNA degradation as long as the RNA spanning the primer is intact[18]

One-step RT-PCR vs two-step RT-PCR
One-step vs Two-step RT-PCR

The quantification of mRNA using RT-PCR can be achieved as either a one-step or a two-step reaction. The difference between the two approaches lies in the number of tubes used when performing the procedure. The two-step reaction requires that the reverse transcriptase reaction and PCR amplification be performed in separate tubes. The disadvantage of the two-step approach is susceptibility to contamination due to more frequent sample handling.[20] On the other hand, the entire reaction from cDNA synthesis to PCR amplification occurs in a single tube in the one-step approach. The one-step approach is thought to minimize experimental variation by containing all of the enzymatic reactions in a single environment. It eliminates the steps of pipetting cDNA product, which is labor-intensive and prone to contamination, to PCR reaction. The further use of inhibitor-tolerant polymerases, polymerase enhancers with an optimized one-step RT-PCR condition, supports the reverse transcription of the RNA from unpurified or crude samples, such as whole blood and serum.[21][22] However, the starting RNA templates are prone to degradation in the one-step approach, and the use of this approach is not recommended when repeated assays from the same sample is required. Additionally, the one-step approach is reported to be less accurate compared to the two-step approach. It is also the preferred method of analysis when using DNA binding dyes such as SYBR Green since the elimination of primer-dimers can be achieved through a simple change in the melting temperature. Nevertheless, the one-step approach is a relatively convenient solution for the rapid detection of target RNA directly in biosensing.

End-point RT-PCR vs real-time RT-PCR

Quantification of RT-PCR products can largely be divided into two categories: end-point and real-time.[16] The use of end-point RT-PCR is preferred for measuring gene expression changes in small number of samples, but the real-time RT-PCR has become the gold standard method for validating results obtained from array analyses or gene expression changes on a global scale.[23]

End-point RT-PCR

The measurement approaches of end-point RT-PCR requires the detection of gene expression levels by the use of fluorescent dyes like ethidium bromide,[24][25] P32 labeling of PCR products using phosphorimager,[26] or by scintillation counting.[19] End-point RT-PCR is commonly achieved using three different methods: relative, competitive and comparative.[27][28]

Relative RT-PCR
Relative quantifications of RT-PCR involves the co-amplification of an internal control simultaneously with the gene of interest. The internal control is used to normalize the samples. Once normalized, a direct comparison of relative transcript abundances across multiple samples of mRNA can be made. One precaution to note is that the internal control must be chosen so that it is not affected by the experimental treatment. The expression level should be constant across all samples and with the mRNA of interest for the results to be accurate and meaningful. Because the quantification of the results are analyzed by comparing the linear range of the target and control amplification, it is crucial to take into consideration the starting target molecules concentration and their amplification rate prior to starting the analysis. The results of the analysis are expressed as the ratios of gene signal to internal control signal, which the values can then be used for the comparison between the samples in the estimation of relative target RNA expression.[25][28][29]
Competitive RT-PCR
Competitive RT-PCR technique is used for absolute quantification. It involves the use of a synthetic “competitor” RNA that can be distinguished from the target RNA by a small difference in size or sequence. It is important for the design of the synthetic RNA be identical in sequence but slightly shorter than the target RNA for accurate results. Once designed and synthesized, a known amount of the competitor RNA is added to experimental samples and is co-amplified with the target using RT-PCR. Then, a concentration curve of the competitor RNA is produced and it is used to compare the RT-PCR signals produced from the endogenous transcripts to determine the amount of target present in the sample.[28][30]
Comparative RT-PCR
Comparative RT-PCR is similar to the competitive RT-PCR in that the target RNA competes for amplification reagents within a single reaction with an internal standard of unrelated sequence. Once the reaction is complete, the results are compared to an external standard curve to determine the target RNA concentration. In comparison to the relative and competitive quantification methods, comparative RT-PCR is considered to be the more convenient method to use since it does not require the investigator to perform a pilot experiment; in relative RT-PCR, the exponential amplification range of the mRNA must be predetermined and in competitive RT-PCR, a synthetic competitor RNA must be synthesized.[28][31][32][33][34]

Real-time RT-PCR

The emergence of novel fluorescent DNA labeling techniques in the past few years has enabled the analysis and detection of PCR products in real-time and has consequently led to the widespread adoption of real-time RT-PCR for the analysis of gene expression. Not only is real-time RT-PCR now the method of choice for quantification of gene expression, it is also the preferred method of obtaining results from array analyses and gene expressions on a global scale. Currently, there are four different fluorescent DNA probes available for the real-time RT-PCR detection of PCR products: SYBR Green, TaqMan, molecular beacons, and scorpion probes. All of these probes allow the detection of PCR products by generating a fluorescent signal. While the SYBR Green dye emits its fluorescent signal simply by binding to the double-stranded DNA in solution, the TaqMan probes', molecular beacons' and scorpions' generation of fluorescence depend on Förster Resonance Energy Transfer (FRET) coupling of the dye molecule and a quencher moiety to the oligonucleotide substrates.[35]

SYBR Green
When the SYBR Green binds to the double-stranded DNA of the PCR products, it will emit light upon excitation. The intensity of the fluorescence increases as the PCR products accumulate. This technique is easy to use since designing of probes is not necessary given lack of specificity of its binding. However, since the dye does not discriminate the double-stranded DNA from the PCR products and those from the primer-dimers, overestimation of the target concentration is a common problem. Where accurate quantification is an absolute necessity, further assay for the validation of results must be performed. Nevertheless, among the real-time RT-PCR product detection methods, SYBR Green is the most economical and easiest to use.[16][23]
Taqman probes
TaqMan probes
TaqMan probes are oligonucleotides that have a fluorescent probe attached to the 5' end and a quencher to the 3' end. During PCR amplification, these probes will hybridize to the target sequences located in the amplicon and as polymerase replicates the template with TaqMan bound, it also cleaves the fluorescent probe due to polymerase 5'- nuclease activity. Because the close proximity between the quench molecule and the fluorescent probe normally prevents fluorescence from being detected through FRET, the decoupling results in the increase of intensity of fluorescence proportional to the number of the probe cleavage cycles. Although well-designed TaqMan probes produce accurate real-time RT-PCR results, it is expensive and time-consuming to synthesize when separate probes must be made for each mRNA target analyzed.[16][17][36]
Molecular beacon probes
Similar to the TaqMan probes, molecular beacons also make use of FRET detection with fluorescent probes attached to the 5' end and a quencher attached to the 3' end of an oligonucleotide substrate. However, whereas the TaqMan fluorescent probes are cleaved during amplification, molecular beacon probes remain intact and rebind to a new target during each reaction cycle. When free in solution, the close proximity of the fluorescent probe and the quencher molecule prevents fluorescence through FRET. However, when molecular beacon probes hybridize to a target, the fluorescent dye and the quencher are separated resulting in the emittance of light upon excitation. As is with the TaqMan probes, molecular beacons are expensive to synthesize and require separate probes for each RNA target.[20]
Scorpion probes
The scorpion probes, like molecular beacons, will not be fluorescent active in an unhybridized state, again, due to the fluorescent probe on the 5' end being quenched by the moiety on the 3' end of an oligonucleotide. With Scorpions, however, the 3' end also contains sequence that is complementary to the extension product of the primer on the 5' end. When the Scorpion extension binds to its complement on the amplicon, the Scorpion structure opens, prevents FRET, and enables the fluorescent signal to be measured.[37]
Multiplex probes
TaqMan probes, molecular beacons, and scorpions allow the concurrent measurement of PCR products in a single tube. This is possible because each of the different fluorescent dyes can be associated with a specific emission spectra. Not only does the use of multiplex probes save time and effort without compromising test utility, its application in wide areas of research such as gene deletion analysis, mutation and polymorphism analysis, quantitative analysis, and RNA detection, make it an invaluable technique for laboratories of many discipline.[37][38][39]

Two strategies are commonly employed to quantify the results obtained by real-time RT-PCR; the standard curve method and the comparative threshold method.[40]

Application

The exponential amplification via reverse transcription polymerase chain reaction provides for a highly sensitive technique in which a very low copy number of RNA molecules can be detected. RT-PCR is widely used in the diagnosis of genetic diseases and, semiquantitatively, in the determination of the abundance of specific different RNA molecules within a cell or tissue as a measure of gene expression.

Research methods

RT-PCR is commonly used in research methods to measure gene expression. For example, Lin et al. used qRT-PCR to measure expression of Gal genes in yeast cells. First, Lin et al. engineered a mutation of a protein suspected to participate in the regulation of Gal genes. This mutation was hypothesized to selectively abolish Gal expression. To confirm this, gene expression levels of yeast cells containing this mutation were analyzed using qRT-PCR. The researchers were able to conclusively determine that the mutation of this regulatory protein reduced Gal expression.[41] Northern blot analysis is used to study the RNA's gene expression further.

Gene insertion

RT-PCR can also be very useful in the insertion of eukaryotic genes into prokaryotes. Because most eukaryotic genes contain introns, which are present in the genome but not in the mature mRNA, the cDNA generated from a RT-PCR reaction is the exact (without regard to the error-prone nature of reverse transcriptases) DNA sequence that would be directly translated into protein after transcription. When these genes are expressed in prokaryotic cells for the sake of protein production or purification, the RNA produced directly from transcription need not undergo splicing as the transcript contains only exons. (Prokaryotes, such as E. coli, lack the mRNA splicing mechanism of eukaryotes).

Genetic disease diagnosis

RT-PCR can be used to diagnose genetic disease such as Lesch–Nyhan syndrome. This genetic disease is caused by a malfunction in the HPRT1 gene, which clinically leads to the fatal uric acid urinary stone and symptoms similar to gout.[6] Analyzing a pregnant mother and a fetus for mRNA expression levels of HPRT1 will reveal if the mother is a carrier and if the fetus will likely to develop Lesch–Nyhan syndrome.[42]

Cancer detection

Scientists are working on ways to use RT-PCR in cancer detection to help improve prognosis, and monitor response to therapy. Circulating tumor cells produce unique mRNA transcripts depending on the type of cancer. The goal is to determine which mRNA transcripts serve as the best biomarkers for a particular cancer cell type and then analyze its expression levels with RT-PCR.[43]

RT-PCR is commonly used in studying the genomes of viruses whose genomes are composed of RNA, such as Influenzavirus A, retroviruses like HIV and Sars-Cov-2 [44].

Challenges

Despite its major advantages, RT-PCR is not without drawbacks. The exponential growth of the reverse transcribed complementary DNA (cDNA) during the multiple cycles of PCR produces inaccurate end point quantification due to the difficulty in maintaining linearity.[45] In order to provide accurate detection and quantification of RNA content in a sample, qRT-PCR was developed using fluorescence-based modification to monitor the amplification products during each cycle of PCR. The extreme sensitivity of the technique can be a double edged sword since even the slightest DNA contamination can lead to undesirable results.[46] A simple method for elimination of false positive results is to include anchors, or tags, to the 5' region of a gene specific primer.[47] Additionally, planning and design of quantification studies can be technically challenging due to the existence of numerous sources of variation including template concentration and amplification efficiency.[31]

Protocol

RT-PCR can be carried out by the one-step RT-PCR protocol or the two-step RT-PCR protocol.

One-step RT-PCR

One-step RT-PCR take mRNA targets (up to 6 kb) and subjects them to reverse transcription and then PCR amplification in a single test tube. Use only intact, high quality RNA for the best results. Be sure to use a sequence-specific primer.

  1. Select a one-step RT-PCR kit, which should include a mix with reverse transcriptase and the PCR system such as Taq DNA Polymerase and a proofreading polymerase.
  2. Obtain all necessary materials, equipment and instruments (kits should include a detailed list of necessary items).
  3. Prepare a reaction mix, which will include dNTPs, primers, template RNA, necessary enzymes and a buffer solution.
  4. Add the mix to a PCR tube for each reaction. Then add the template RNA.
  5. Place PCR tubes in the thermal cycler to begin cycling. The first cycle is reverse transcription to synthesize cDNA. The second cycle is initial denaturation. During this cycle reverse transcriptase is inactivated. The next 40 to 50 cycles are the amplification program, which consists of three steps: (1) denaturation, (2) annealing, (3) elongation.
  6. The RT-PCR products can then be analyzed with gel electrophoresis.[48][49]

(PCR Applications Manual and Biotools)

Two-step RT-PCR

Two-step RT-PCR, as the name implies, occurs in two steps. First the reverse transcription and then the PCR. This method is more sensitive than the one-step method. Kits are also useful for two-step RT-PCR. Just as for one-step, use only intact, high quality RNA for the best results. The primer for two-step does not have to be sequence specific.

Step one
  1. Combine template RNA, primer, dNTP mix, and nuclease-free water in a PCR tube.
  2. Add RNase inhibitor and reverse transcriptase to the PCR tube.
  3. Place PCR tube in thermal cycler for one cycle that includes annealing, extending and then inactivating reverse transcriptase.
  4. Proceed directly to PCR or store on ice until PCR can be performed.

Step two
  1. Add a master mix (containing buffer, dNTP mix, MgCl2, Taq polymerase and nuclease-free water) to each PCR tube.
  2. Add appropriate primer.
  3. Place PCR tubes in thermal cycler for 30 cycles of the amplification program, which includes three steps: (1) denaturation (2) annealing (3) elongation.
  4. The RT-PCR products can then be analyzed with gel electrophoresis.[50]

Publication guidelines

Quantitative RT-PCR assay is considered to be the gold standard for measuring the number of copies of specific cDNA targets in a sample but it is poorly standardized.[51] As a result, while there are numerous publications utilizing the technique, many provide inadequate experimental detail and use unsuitable data analysis to draw inappropriate conclusions. Due to the inherent variability in the quality of any quantitative PCR data, not only do reviewers have a difficult time evaluating these manuscripts, but the studies also become impossible to replicate.[52] Recognizing the need for the standardization of the reporting of experimental conditions, the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE, pronounced mykee) guidelines have been published by an international consortium of academic scientists. The MIQE guidelines describe the minimum information necessary for evaluating quantitative PCR experiments that should be required for publication for encouraging better experimental practice and ensuring the relevance, accuracy, correct interpretation, and repeatability of quantitative PCR data.[53]

Besides reporting guidelines, the MIQE stresses the need to standardize the nomenclature associated with quantitative PCR to avoid confusion; for example, the abbreviation qPCR should be used for quantitative real-time PCR and RT-qPCR should be used for reverse transcription-qPCR, and genes used for normalisation should be referred to as reference genes instead of housekeeping genes. It also proposes that commercially derived terms like TaqMan probes should not be used but instead referred to as hydrolysis probes. Additionally, it is proposed that quantification cycle (Cq) be used to describe the PCR cycle used for quantification instead of threshold cycle (Ct), crossing point (Cp), and takeoff point (TOP), which refer to the same value but were coined by different manufacturers of real-time instruments.[51]

The guideline consists of the following elements: 1) experimental design, 2) sample, 3) nucleic acid extraction, 4) reverse transcription, 5) qPCR target information, 6) oligonucleotides, 7) protocol, 8) validation, and 9) data analysis. Specific items within each element carry a label of either E (essential) or D (desirable). Those labelled E are considered critical and indispensable while those labelled D are considered peripheral yet important for best-practices.[53]

gollark: OVH is pretty cheap, I think.
gollark: Also, <@116952546664382473>, I think FS.list shows dotfiles still.
gollark: Wait, your FS calls out to external scripts? ... Aaargh?
gollark: Your approach is pretty unperformant based on "2 seconds to draw 5 or so lines".
gollark: Bagel: maybe use actual Lua libraries?

References
  1. Freeman WM, Walker SJ, Vrana KE (January 1999). "Quantitative RT-PCR: pitfalls and potential". BioTechniques. 26 (1): 112–22, 124–5. doi:10.2144/99261rv01. PMID 9894600.
  2. Mackay, Ian (2007). Real-time PCR in Microbiology: From Diagnosis to Characterization. Norfolk, England: Caister Academic Press. pp. 440. ISBN 978-1-904455-18-9.
  3. Joyce C (2002). Quantitative RT-PCR. A review of current methodologies. Methods Mol. Biol. 193. pp. 83–92. doi:10.1385/1-59259-283-X:083. ISBN 978-1-59259-283-8. PMID 12325527.
  4. Kang XP, Jiang T, Li YQ, et al. (2010). "A duplex real-time RT-PCR assay for detecting H5N1 avian influenza virus and pandemic H1N1 influenza virus". Virol. J. 7: 113. doi:10.1186/1743-422X-7-113. PMC 2892456. PMID 20515509.
  5. Bustin SA, Benes V, Nolan T, Pfaffl MW (June 2005). "Quantitative real-time RT-PCR--a perspective". J. Mol. Endocrinol. 34 (3): 597–601. CiteSeerX 10.1.1.528.6638. doi:10.1677/jme.1.01755. PMID 15956331.
  6. Varkonyi-Gasic E, Hellens RP (2010). "qRT-PCR of Small RNAs". Plant Epigenetics. Methods in Molecular Biology. 631. pp. 109–22. doi:10.1007/978-1-60761-646-7_10. ISBN 978-1-60761-645-0. PMID 20204872.
  7. Taylor S, Wakem M, Dijkman G, Alsarraj M, Nguyen M (April 2010). "A practical approach to RT-qPCR-Publishing data that conform to the MIQE guidelines". Methods. 50 (4): S1–5. doi:10.1016/j.ymeth.2010.01.005. PMID 20215014.
  8. Spackman E, Senne DA, Myers TJ, et al. (September 2002). "Development of a real-time reverse transcriptase PCR assay for type A influenza virus and the avian H5 and H7 hemagglutinin subtypes". J. Clin. Microbiol. 40 (9): 3256–60. doi:10.1128/jcm.40.9.3256-3260.2002. PMC 130722. PMID 12202562.
  9. "ACCELERATED EMERGENCY USE AUTHORIZATION (EUA) SUMMARY COVID-19 RT-PCR TEST (LABORATORY CORPORATION OF AMERICA)". FDA. Retrieved 3 April 2020.
  10. Alwine JC, Kemp DJ, Stark GR (December 1977). "Method for detection of specific RNAs in agarose gels by transfer to diazobenzyloxymethyl-paper and hybridization with DNA probes". Proc. Natl. Acad. Sci. U.S.A. 74 (12): 5350–4. Bibcode:1977PNAS...74.5350A. doi:10.1073/pnas.74.12.5350. PMC 431715. PMID 414220.
  11. Streit S, Michalski CW, Erkan M, Kleeff J, Friess H (2009). "Northern blot analysis for detection and quantification of RNA in pancreatic cancer cells and tissues". Nat Protoc. 4 (1): 37–43. doi:10.1038/nprot.2008.216. PMID 19131955.
  12. Bustin SA (October 2000). "Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays". J. Mol. Endocrinol. 25 (2): 169–93. doi:10.1677/jme.0.0250169. PMID 11013345.
  13. Hierro N, Esteve-Zarzoso B, González A, Mas A, Guillamón JM (November 2006). "Real-time quantitative PCR (QPCR) and reverse transcription-QPCR for detection and enumeration of total yeasts in wine". Appl. Environ. Microbiol. 72 (11): 7148–55. doi:10.1128/AEM.00388-06. PMC 1636171. PMID 17088381.
  14. Slomka MJ, Pavlidis T, Coward VJ, et al. (July 2009). "Validated RealTime reverse transcriptase PCR methods for the diagnosis and pathotyping of Eurasian H7 avian influenza viruses". Influenza Other Respi Viruses. 3 (4): 151–64. doi:10.1111/j.1750-2659.2009.00083.x. PMC 4634683. PMID 19627372.
  15. Mission summary: WHO Field Visit to Wuhan, China 20-21 January 2020: https://www.who.int/china/news/detail/22-01-2020-field-visit-wuhan-china-jan-2020
  16. Schmittgen TD, Zakrajsek BA, Mills AG, Gorn V, Singer MJ, Reed MW (October 2000). "Quantitative reverse transcription-polymerase chain reaction to study mRNA decay: comparison of endpoint and real-time methods". Anal. Biochem. 285 (2): 194–204. doi:10.1006/abio.2000.4753. PMID 11017702. S2CID 258810.
  17. Deepak S, Kottapalli K, Rakwal R, et al. (June 2007). "Real-Time PCR: Revolutionizing Detection and Expression Analysis of Genes". Curr. Genomics. 8 (4): 234–51. doi:10.2174/138920207781386960. PMC 2430684. PMID 18645596.
  18. Bustin SA (August 2002). "Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems". J. Mol. Endocrinol. 29 (1): 23–39. doi:10.1677/jme.0.0290023. PMID 12200227.
  19. Souazé F, Ntodou-Thomé A, Tran CY, Rostène W, Forgez P (August 1996). "Quantitative RT-PCR: limits and accuracy". BioTechniques. 21 (2): 280–5. doi:10.2144/96212rr01. PMID 8862813.
  20. Wong ML, Medrano JF (July 2005). "Real-time PCR for mRNA quantitation". BioTechniques. 39 (1): 75–85. doi:10.2144/05391rv01. PMID 16060372.
  21. Li, Lang; He, Jian-an; Wang, Wei; Xia, Yun; Song, Li; Chen, Ze-han; Zuo, Hang-zhi; Tan, Xuan-Ping; Ho, Aaron Ho-Pui; Kong, Siu-Kai; Loo, Jacky Fong-Chuen (2019-08-01). "Development of a direct reverse-transcription quantitative PCR (dirRT-qPCR) assay for clinical Zika diagnosis". International Journal of Infectious Diseases. 85: 167–174. doi:10.1016/j.ijid.2019.06.007. ISSN 1201-9712. PMID 31202908.
  22. Bachofen, Claudia; Willoughby, Kim; Zadoks, Ruth; Burr, Paul; Mellor, Dominic; Russell, George C. (2013-06-01). "Direct RT-PCR from serum enables fast and cost-effective phylogenetic analysis of bovine viral diarrhoea virus". Journal of Virological Methods. 190 (1): 1–3. doi:10.1016/j.jviromet.2013.03.015. ISSN 0166-0934. PMID 23541784.
  23. Rajeevan MS, Vernon SD, Taysavang N, Unger ER (February 2001). "Validation of array-based gene expression profiles by real-time (kinetic) RT-PCR". J Mol Diagn. 3 (1): 26–31. doi:10.1016/S1525-1578(10)60646-0. PMC 1907344. PMID 11227069.
  24. Stone-Marschat M, Carville A, Skowronek A, Laegreid WW (March 1994). "Detection of African horse sickness virus by reverse transcription-PCR". J. Clin. Microbiol. 32 (3): 697–700. doi:10.1128/JCM.32.3.697-700.1994. PMC 263109. PMID 8195381.
  25. Minton AP (April 1995). "Confinement as a determinant of macromolecular structure and reactivity. II. Effects of weakly attractive interactions between confined macrosolutes and confining structures". Biophys. J. 68 (4): 1311–22. Bibcode:1995BpJ....68.1311M. doi:10.1016/S0006-3495(95)80304-8. PMC 1282026. PMID 7787020.
  26. Hsu M, Yu EY, Sprušanský O, McEachern MJ, Lue NF (July 2012). "Functional analysis of the single Est1/Ebs1 homologue in Kluyveromyces lactis reveals roles in both telomere maintenance and rapamycin resistance". Eukaryotic Cell. 11 (7): 932–42. doi:10.1128/EC.05319-11. PMC 3416500. PMID 22544908.
  27. Schmittgen TD, Livak KJ (2008). "Analyzing real-time PCR data by the comparative C(T) method". Nat Protoc. 3 (6): 1101–8. doi:10.1038/nprot.2008.73. PMID 18546601.
  28. Tang, Yi-Wei (2012-09-13), Advanced Techniques in Diagnostic Microbiology, ISBN 978-1461439691
  29. Gause WC, Adamovicz J (June 1994). "The use of the PCR to quantitate gene expression". PCR Methods Appl. 3 (6): S123–35. doi:10.1101/gr.3.6.s123. PMID 7522722.
  30. Tsai SJ, Wiltbank MC (November 1996). "Quantification of mRNA using competitive RT-PCR with standard-curve methodology". BioTechniques. 21 (5): 862–6. doi:10.2144/96215st04. PMID 8922627.
  31. Ramakers C, Ruijter JM, Deprez RH, Moorman AF (March 2003). "Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data". Neurosci. Lett. 339 (1): 62–6. doi:10.1016/S0304-3940(02)01423-4. PMID 12618301.
  32. Halford WP, Falco VC, Gebhardt BM, Carr DJ (January 1999). "The inherent quantitative capacity of the reverse transcription-polymerase chain reaction". Anal. Biochem. 266 (2): 181–91. doi:10.1006/abio.1998.2913. PMID 9888974.
  33. King N (2010). "The use of comparative quantitative RT-PCR to investigate the effect of cysteine incubation on GPx1 expression in freshly isolated cardiomyocytes". RT-PCR Protocols. Methods in Molecular Biology. 630. pp. 215–32. doi:10.1007/978-1-60761-629-0_14. ISBN 978-1-60761-628-3. PMID 20301000.
  34. Chang JT, Chen IH, Liao CT, et al. (November 2002). "A reverse transcription comparative real-time PCR method for quantitative detection of angiogenic growth factors in head and neck cancer patients". Clin. Biochem. 35 (8): 591–6. doi:10.1016/S0009-9120(02)00403-4. PMID 12498992.
  35. Holden, M. J.; Wang, L. (2008). "Quantitative Real-Time PCR: Fluorescent Probe Options and Issues". Standardization and Quality Assurance in Fluorescence Measurements II. Springer Series on Fluorescence. 6. p. 489. doi:10.1007/4243_2008_046. ISBN 978-3-540-70570-3.
  36. Yang DK, Kweon CH, Kim BH, et al. (December 2004). "TaqMan reverse transcription polymerase chain reaction for the detection of Japanese encephalitis virus". J. Vet. Sci. 5 (4): 345–51. doi:10.4142/jvs.2004.5.4.345. PMID 15613819.
  37. Sharkey FH, Banat IM, Marchant R (July 2004). "Detection and quantification of gene expression in environmental bacteriology". Appl. Environ. Microbiol. 70 (7): 3795–806. doi:10.1128/AEM.70.7.3795-3806.2004. PMC 444812. PMID 15240248.
  38. Ratcliff RM, Chang G, Kok T, Sloots TP (July 2007). "Molecular diagnosis of medical viruses". Curr Issues Mol Biol. 9 (2): 87–102. PMID 17489437.
  39. Elnifro EM, Ashshi AM, Cooper RJ, Klapper PE (October 2000). "Multiplex PCR: optimization and application in diagnostic virology". Clin. Microbiol. Rev. 13 (4): 559–70. doi:10.1128/cmr.13.4.559-570.2000. PMC 88949. PMID 11023957.
  40. Bustin SA (July 2005). "Real-time, fluorescence-based quantitative PCR: a snapshot of current procedures and preferences". Expert Rev. Mol. Diagn. 5 (4): 493–8. doi:10.1586/14737159.5.4.493. PMID 16013967. S2CID 1833811.
  41. Lin L, Chamberlain L, Zhu LJ, Green MR (February 2012). "Analysis of Gal4-directed transcription activation using Tra1 mutants selectively defective for interaction with Gal4". Proc. Natl. Acad. Sci. U.S.A. 109 (6): 1997–2002. Bibcode:2012PNAS..109.1997L. doi:10.1073/pnas.1116340109. PMC 3277556. PMID 22308403.
  42. Torres RJ, Garcia MG, Puig JG (December 2012). "Carrier and prenatal diagnosis of Lesch-Nyhan disease due to a defect in HPRT gene expression regulation". Gene. 511 (2): 306–7. doi:10.1016/j.gene.2012.09.121. PMID 23046577.
  43. Xi L, Nicastri DG, El-Hefnawy T, Hughes SJ, Luketich JD, Godfrey TE (July 2007). "Optimal markers for real-time quantitative reverse transcription PCR detection of circulating tumor cells from melanoma, breast, colon, esophageal, head and neck, and lung cancers". Clin. Chem. 53 (7): 1206–15. doi:10.1373/clinchem.2006.081828. PMID 17525108.
  44. "Coronavirus: il viaggio dei test". Istituto Superiore di Sanità.
  45. Shiao YH (December 2003). "A new reverse transcription-polymerase chain reaction method for accurate quantification". BMC Biotechnol. 3: 22. doi:10.1186/1472-6750-3-22. PMC 317330. PMID 14664723.
  46. Gettemy JM, Ma B, Alic M, Gold MH (February 1998). "Reverse transcription-PCR analysis of the regulation of the manganese peroxidase gene family". Appl. Environ. Microbiol. 64 (2): 569–74. doi:10.1128/AEM.64.2.569-574.1998. PMC 106084. PMID 9464395.
  47. Martel, Fatima; Dirk Grundemann; Edgar Schöig (2002-03-31). "A simple method for elimination of false positive results in RT-PCR". J Biochem Mol Biol. 35 (2): 248–250. doi:10.5483/BMBRep.2002.35.2.248. PMID 12297038.
  48. "High Transcript Tools OneStep Kit". Biotools. Archived from the original on 20 May 2013. Retrieved 12 December 2012.
  49. Degen, Hans-Joachim; Deufel, Annette; Eisel, Doris; Grünewald-Janho, Stefanie; Keesey, Joe (2006). PCR Applications Manual (PDF) (3 ed.). Roche Diagnostics. pp. 135–137.
  50. "RT-PCR Two-Step Protocol" (PDF). MIT. Retrieved 12 December 2012.
  51. "www.microarrays.ca" (PDF).
  52. Bustin SA (April 2010). "Why the need for qPCR publication guidelines?--The case for MIQE". Methods. 50 (4): 217–26. doi:10.1016/j.ymeth.2009.12.006. PMID 20025972.
  53. Bustin SA, Benes V, Garson JA, et al. (April 2009). "The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments". Clin. Chem. 55 (4): 611–22. doi:10.1373/clinchem.2008.112797. PMID 19246619.
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