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Cited by 606

The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.

The RNA modification landscape in human disease

Open access
Jonkhout, Nicky, Tran, Julia, Smith, Martin A., Schonrock, Nicole, Mattick, John S., Novoa, Eva Maria·2017·RNA

Abstract

RNA modifications have been historically considered as fine-tuning chemo-structural features of infrastructural RNAs, such as rRNAs, tRNAs, and snoRNAs. This view has changed dramatically in recent years, to a large extent as a result of systematic efforts to map and quantify various RNA modifications in a transcriptome-wide manner, revealing that RNA modifications are reversible, dynamically regulated, far more widespread than originally thought, and involved in major biological processes, including cell differentiation, sex determination, and stress responses. Here we summarize the state of knowledge and provide a catalog of RNA modifications and their links to neurological disorders, cancers, and other diseases. With the advent of direct RNA-sequencing technologies, we expect that this catalog will help prioritize those RNA modifications for transcriptome-wide maps.

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Metadata

Authors
Jonkhout, N., Tran, J., Smith, M. A., Schonrock, N., Mattick, J. S., & Novoa, E. M.
Venue
RNA
Published
2017-08-30
Volume
23
Issue
12
Pages
1754-1769
ISSN
  • 1355-8382 (ISSN-L)
  • 1469-9001
OpenAlex
W2753767186
Cited by
606
References
139
FWCI
12.13
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The RNA modification landscape in human disease. https://app.cochat.ai/papers/10.1261/rna.063503.117
The paper
Jonkhout, N., Tran, J., Smith, M. A., Schonrock, N., Mattick, J. S., & Novoa, E. M. (2017). The RNA modification landscape in human disease. RNA. https://doi.org/10.1261/rna.063503.117

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.