Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Aug 1;126(8):2783-91.
doi: 10.1172/JCI84422. Epub 2016 Aug 1.

Investigating long noncoding RNAs using animal models

Review

Investigating long noncoding RNAs using animal models

Michael Feyder et al. J Clin Invest. .

Abstract

The number of long noncoding RNAs (lncRNAs) has grown rapidly; however, our understanding of their function remains limited. Although cultured cells have facilitated investigations of lncRNA function at the molecular level, the use of animal models provides a rich context in which to investigate the phenotypic impact of these molecules. Promising initial studies using animal models demonstrated that lncRNAs influence a diverse number of phenotypes, ranging from subtle dysmorphia to viability. Here, we highlight the diversity of animal models and their unique advantages, discuss the use of animal models to profile lncRNA expression, evaluate experimental strategies to manipulate lncRNA function in vivo, and review the phenotypes attributable to lncRNAs. Despite a limited number of studies leveraging animal models, lncRNAs are already recognized as a notable class of molecules with important implications for health and disease.

PubMed Disclaimer

Figures

Figure 1
Figure 1. lncRNA biology is a burgeoning field.
(A) The number of genes designated as lncRNAs in humans has steadily increased over successive GENCODE releases (http://www.gencodegenes.org/releases/) to nearly equal the number of protein-coding genes. (B) The number of publications in PubMed returned by querying “lncRNAs” has rapidly increased in recent years. However, few publications have explored lncRNAs using animal models.
Figure 2
Figure 2. Techniques to investigate lncRNA properties and tissue expression.
(A) These techniques include quantitative PCR (qPCR) and RNA-seq for transcript expression; RNA fluorescence ISH (FISH) or MS2 tagging (128) for localization; icSHAPE (24) or SHAPE-seq (25) for secondary structures; RIP, CLIP (21, 22), or PAR-CLIP (23) for protein interactions; RIA-seq (20) for RNA interactions; and CHART (18) or ChIRP (19) for DNA interactions. (B) Dissociation of tissue into single cells, followed by single-cell–sequencing analysis, can improve the sensitivity of detection for lncRNA expressed in a minority of cells within a tissue. (C) Fluorescently labeled cells within a tissue can be dissociated, sorted on the basis of fluorescence detection, and assayed for lncRNA expression to improve the sensitivity of detection.
Figure 3
Figure 3. DNA- and RNA-targeted strategies and general workflow.
(A) RNA-targeted approaches to attenuate lncRNA expression include RNAi, which degrades the lncRNA complementary to the experimentally introduced RNA. Other RNA-targeted approaches sterically interfere with a lncRNA complementary to the experimentally introduced RNA. (B) DNA-targeted approaches to ablate lncRNA expression include introducing a disruptive transgene within the lncRNA loci, excising the lncRNA loci or its regulatory elements, or inverting the lncRNA loci. (C) DNA- or RNA-targeted approaches to interfere with lncRNA function can be used either during development or adulthood in animal models. Functional ablation of a lncRNA may be sufficient to produce a phenotype or may result from gene-environment interactions. For trans-acting lncRNA, rescue experiments that revert the observed phenotype control for possible nonspecific effects, such as off-target effects of morpholinos or manipulation of DNA regulatory elements.

Similar articles

Cited by

References

    1. Okazaki Y, et al. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature. 2002;420(6915):563–573. doi: 10.1038/nature01266. - DOI - PubMed
    1. Kapranov P, et al. RNA maps reveal new RNA classes and a possible function for pervasive transcription. Science. 2007;316(5830):1484–1488. doi: 10.1126/science.1138341. - DOI - PubMed
    1. Djebali S, et al. Landscape of transcription in human cells. Nature. 2012;489(7414):101–108. doi: 10.1038/nature11233. - DOI - PMC - PubMed
    1. St Laurent G, Wahlestedt C, Kapranov P. The landscape of long noncoding RNA classification. Trends Genet. 2015;31(5):239–251. doi: 10.1016/j.tig.2015.03.007. - DOI - PMC - PubMed
    1. Cabili MN, et al. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 2011;25(18):1915–1927. doi: 10.1101/gad.17446611. - DOI - PMC - PubMed

Substances