Literature DB >> 30968357

Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods.

Yohei Sasagawa1, Tetsutaro Hayashi1, Itoshi Nikaido2.   

Abstract

This review describes the features of molecular biology techniques for single-cell RNA sequencing (scRNA-seq), including methods developed in our laboratory. Existing scRNA-seq methods require the conversion of first-strand cDNA to amplifiable cDNA followed by whole-transcript amplification. There are three primary strategies for this conversion: poly-A tagging, template switching, and RNase H-DNA polymerase I-mediated second-strand cDNA synthesis for in vitro transcription. We discuss the merits and limitations of these strategies and describe our Reverse Transcription with Random Displacement Amplification technology that allows for direct first-strand cDNA amplification from RNA without the need for conversion to an amplifiable cDNA. We believe that this review provides all users of single-cell transcriptome technologies with an understanding of the relationship between the quantitative performance of various methods and their molecular features.

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Year:  2019        PMID: 30968357     DOI: 10.1007/978-981-13-6037-4_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  3 in total

Review 1.  Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods.

Authors:  Zoe A Clarke; Tallulah S Andrews; Jawairia Atif; Delaram Pouyabahar; Brendan T Innes; Sonya A MacParland; Gary D Bader
Journal:  Nat Protoc       Date:  2021-05-24       Impact factor: 13.491

2.  How a B family DNA polymerase has been evolved to copy RNA.

Authors:  Woo Suk Choi; Peng He; Arti Pothukuchy; Jimmy Gollihar; Andrew D Ellington; Wei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-17       Impact factor: 11.205

3.  Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis.

Authors:  Y-H Taguchi; Turki Turki
Journal:  Front Genet       Date:  2019-09-19       Impact factor: 4.599

  3 in total

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