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Significance of RT-PCR

RT-PCR, or reverse transcriptase polymerase chain reaction, is a laboratory technique used to amplify and quantify RNA, playing a crucial role in analyzing gene expression. It is particularly significant in diagnosing infections, notably SARS-CoV-2, by converting viral RNA into DNA for detection. RT-PCR has emerged as the gold standard for COVID-19 diagnostics due to its high sensitivity and specificity. Additionally, it is applied in genetic studies and various other research contexts to assess gene expression at the mRNA level.

Synonyms: Real-time polymerase chain reaction, Quantitative pcr, Reverse transcription polymerase chain reaction, Reverse transcriptase pcr, Real-time pcr, Reverse transcription quantitative pcr, Qrt-pcr.

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The concept of RT-PCR in scientific sources

Science Books

RT-PCR, or reverse transcription polymerase chain reaction, is a diagnostic test essential for detecting viral presence, particularly in COVID-19 testing, by amplifying viral RNA for accurate identification.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) This is the abbreviation for reverse transcriptase polymerase chain reaction, a method used for genotyping rotavirus by analyzing the VP7 (G-type) and VP4 (P-type) genotypes.[1] (2) This is a method used to determine the expression of miR-3099 and various cellular markers at different time points during the differentiation process.[2] (3) RT-PCR is used to represent images of anti-fibrotic ligand expression, showing its use in the analysis of these factors.[3] (4) Reverse-transcription polymerase chain reaction (RT-PCR) is considered the preferred method for diagnosing SARS-CoV-2 infection, even with commercial tests available, it faces unprecedented testing loads, making resource conservation crucial for addressing shortages.[4] (5) Reverse transcription PCR (RT-PCR) was used to amplify the following cDNAs: Bcl-2, p16, Bax, and glyceraldehyde 3-phosphate dehydrogenase (GAPDH), which was used for normalisation.[5]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.