The Secret Life of RNA: Lessons from Emerging Methodologies
- PMID: 29130187
- DOI: 10.1007/978-1-4939-7213-5_1
The Secret Life of RNA: Lessons from Emerging Methodologies
Abstract
The last past decade has witnessed a revolution in our appreciation of transcriptome complexity and regulation. This remarkable expansion in our knowledge largely originates from the advent of high-throughput methodologies, and the consecutive discovery that up to 90% of eukaryotic genomes are transcribed, thus generating an unanticipated large range of noncoding RNAs (Hangauer et al., 15(4):112, 2014). Besides leading to the identification of new noncoding RNA species, transcriptome-wide studies have uncovered novel layers of posttranscriptional regulatory mechanisms controlling RNA processing, maturation or translation, and each contributing to the precise and dynamic regulation of gene expression. Remarkably, the development of systems-level studies has been accompanied by tremendous progress in the visualization of individual RNA molecules in single cells, such that it is now possible to image RNA species with a single-molecule resolution from birth to translation or decay. Monitoring quantitatively, with unprecedented spatiotemporal resolution, the fate of individual molecules has been key to understanding the molecular mechanisms underlying the different steps of RNA regulation. This has also revealed biologically relevant, intracellular and intercellular heterogeneities in RNA distribution or regulation. More recently, the convergence of imaging and high-throughput technologies has led to the emergence of spatially resolved transcriptomic techniques that provide a means to perform large-scale analyses while preserving spatial information. By generating transcriptome-wide data on single-cell RNA content, or even subcellular RNA distribution, these methodologies are opening avenues to a wide range of network-level studies at the cell and organ-level, and promise to strongly improve disease diagnostic and treatment.In this introductory chapter, we highlight how recently developed technologies aiming at detecting and visualizing RNA molecules have contributed to the emergence of entirely new research fields, and to dramatic progress in our understanding of gene expression regulation.
Keywords: In vivo RNA imaging; Interactome; RNA detection; RNA localization; RNA structure; Ribonucleoprotein complexes; Transcription; Transcriptomics; Translation.
Similar articles
-
Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression.Proc Natl Acad Sci U S A. 2019 Sep 24;116(39):19490-19499. doi: 10.1073/pnas.1912459116. Epub 2019 Sep 9. Proc Natl Acad Sci U S A. 2019. PMID: 31501331 Free PMC article.
-
Systematic analysis of posttranscriptional gene expression.Wiley Interdiscip Rev Syst Biol Med. 2010 Mar-Apr;2(2):162-180. doi: 10.1002/wsbm.54. Wiley Interdiscip Rev Syst Biol Med. 2010. PMID: 20836020 Review.
-
The specificity of long noncoding RNA expression.Biochim Biophys Acta. 2016 Jan;1859(1):16-22. doi: 10.1016/j.bbagrm.2015.08.005. Epub 2015 Aug 19. Biochim Biophys Acta. 2016. PMID: 26297315 Review.
-
A Growing Toolbox to Image Gene Expression in Single Cells: Sensitive Approaches for Demanding Challenges.Mol Cell. 2018 Aug 2;71(3):468-480. doi: 10.1016/j.molcel.2018.07.022. Mol Cell. 2018. PMID: 30075145 Review.
-
Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Bioinformatic Analysis.Methods Mol Biol. 2016;1361:91-104. doi: 10.1007/978-1-4939-3079-1_6. Methods Mol Biol. 2016. PMID: 26483018
Cited by
-
The rise of the distributions: why non-normality is important for understanding the transcriptome and beyond.Biophys Rev. 2019 Feb;11(1):89-94. doi: 10.1007/s12551-018-0494-4. Epub 2019 Jan 7. Biophys Rev. 2019. PMID: 30617454 Free PMC article. Review.
-
Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH.Cell Rep Methods. 2021 Sep 13;1(5):100068. doi: 10.1016/j.crmeth.2021.100068. eCollection 2021 Sep 27. Cell Rep Methods. 2021. PMID: 35474672 Free PMC article.
-
Local Translation in Axons: When Membraneless RNP Granules Meet Membrane-Bound Organelles.Front Mol Biosci. 2019 Nov 22;6:129. doi: 10.3389/fmolb.2019.00129. eCollection 2019. Front Mol Biosci. 2019. PMID: 31824961 Free PMC article. Review.
-
Regulating translation in aging: from global to gene-specific mechanisms.EMBO Rep. 2024 Dec;25(12):5265-5276. doi: 10.1038/s44319-024-00315-2. Epub 2024 Nov 19. EMBO Rep. 2024. PMID: 39562712 Free PMC article. Review.
-
mRNA Metabolism in Cardiac Development and Disease: Life After Transcription.Physiol Rev. 2020 Apr 1;100(2):673-694. doi: 10.1152/physrev.00007.2019. Epub 2019 Nov 21. Physiol Rev. 2020. PMID: 31751167 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous