End-to-end RT-PCR of long RNA and highly structured RNA.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2023
Historique:
medline: 3 11 2023
pubmed: 2 11 2023
entrez: 1 11 2023
Statut: ppublish

Résumé

RNA molecules play important roles in numerous normal cellular processes and disease states, from protein coding to gene regulation. RT-PCR, applying the power of polymerase chain reaction (PCR) to RNA by coupling reverse transcription with PCR, is one of the most important techniques to characterize RNA transcripts and monitor gene expression. The ability to analyze full-length RNA transcripts and detect their expression is critical to decipher their biological functions. However, due to the low processivity of retroviral reverse transcriptases (RTs), we can only monitor a small fraction of long RNA transcripts, especially those containing stable secondary and tertiary structures. The full-length sequences can only be deduced by computational analysis, which is often misleading. Group II intron-encoded RTs are a new type of RT enzymes. They have evolved specialized structural elements that unwind template structures and maintain close contact with the RNA template. Therefore, group II intron-encoded RTs are more processive than the retroviral RTs. The discovery, optimization and deployment of processive group II intron RTs provide us the opportunity to analyze RNA transcripts with single molecule resolution. MarathonRT, the most processive group II intron RT, has been extensively optimized for processive reverse transcription. In this chapter, we use MarathonRT to deliver a general protocol for long amplicon generation by RT-PCR, and also provide guidance for troubleshooting and further optimization.

Identifiants

pubmed: 37914451
pii: S0076-6879(23)00233-1
doi: 10.1016/bs.mie.2023.07.002
pii:
doi:

Substances chimiques

RNA 63231-63-0
RNA-Directed DNA Polymerase EC 2.7.7.49

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3-15

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG011868
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Li-Tao Guo (LT)

Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, United States.

Anna Marie Pyle (AM)

Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, United States; Department of Chemistry, Yale University, New Haven, CT, United States; Howard Hughes Medical Institute, Chevy Chase, MD, United States. Electronic address: anna.pyle@yale.edu.

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Classifications MeSH