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RNA Preparation and RNA-Seq Bioinformatics for Comparative Transcriptomics

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Specialty Molecular Biology
Date 2023 Aug 29
PMID 37642840
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Abstract

The principal transcriptome analysis is the determination of differentially expressed genes across experimental conditions. For this, the next-generation sequencing of RNA (RNA-seq) has several advantages over other techniques, such as the capability of detecting all the transcripts in one assay over RT-qPCR, such as its higher accuracy and broader dynamic range over microarrays or the ability to detect novel transcripts, including non-coding RNA molecules, at nucleotide-level resolution over both techniques. Despite these advantages, many microbiology laboratories have not yet applied RNA-seq analyses to their investigations. The high cost of the equipment for next-generation sequencing is no longer an issue since this intermediate part of the analysis can be provided by commercial or central services. Here, we detail a protocol for the first part of the analysis, the RNA extraction and an introductory protocol to the bioinformatics analysis of the sequencing data to generate the differential expression results.

References
1.
Garalde D, Snell E, Jachimowicz D, Sipos B, Lloyd J, Bruce M . Highly parallel direct RNA sequencing on an array of nanopores. Nat Methods. 2018; 15(3):201-206. DOI: 10.1038/nmeth.4577. View

2.
Shi H, Zhou Y, Jia E, Pan M, Bai Y, Ge Q . Bias in RNA-seq Library Preparation: Current Challenges and Solutions. Biomed Res Int. 2021; 2021:6647597. PMC: 8079181. DOI: 10.1155/2021/6647597. View

3.
Yoder-Himes D, Chain P, Zhu Y, Wurtzel O, Rubin E, Tiedje J . Mapping the Burkholderia cenocepacia niche response via high-throughput sequencing. Proc Natl Acad Sci U S A. 2009; 106(10):3976-81. PMC: 2645912. DOI: 10.1073/pnas.0813403106. View

4.
Valentin-Hansen P, Eriksen M, Udesen C . The bacterial Sm-like protein Hfq: a key player in RNA transactions. Mol Microbiol. 2004; 51(6):1525-33. DOI: 10.1111/j.1365-2958.2003.03935.x. View

5.
De Lay N, Schu D, Gottesman S . Bacterial small RNA-based negative regulation: Hfq and its accomplices. J Biol Chem. 2013; 288(12):7996-8003. PMC: 3605619. DOI: 10.1074/jbc.R112.441386. View