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The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Translating RNA sequencing into clinical diagnostics: opportunities and challenges

Open access
Byron, Sara A., Van Keuren-Jensen, Kendall R., Engelthaler, David M., Carpten, John D., Craig, David W.·2016·Nature Reviews Genetics

Abstract

RNA sequencing (RNA-seq) is a powerful approach for comprehensive analyses of transcriptomes. This Review describes the widespread potential applications of RNA-seq in clinical medicine, such as detecting disease-associated mutations and gene expression disruptions, as well as characteristic non-coding RNAs, circulating extracellular RNAs or pathogen RNAs. The authors also highlight the challenges in adopting RNA-seq routinely into clinical practice. With the emergence of RNA sequencing (RNA-seq) technologies, RNA-based biomolecules hold expanded promise for their diagnostic, prognostic and therapeutic applicability in various diseases, including cancers and infectious diseases. Detection of gene fusions and differential expression of known disease-causing transcripts by RNA-seq represent some of the most immediate opportunities. However, it is the diversity of RNA species detected through RNA-seq that holds new promise for the multi-faceted clinical applicability of RNA-based measures, including the potential of extracellular RNAs as non-invasive diagnostic indicators of disease. Ongoing efforts towards the establishment of benchmark standards, assay optimization for clinical conditions and demonstration of assay reproducibility are required to expand the clinical utility of RNA-seq.

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Metadata

Authors
Byron, S. A., Van Keuren-Jensen, K. R., Engelthaler, D. M., Carpten, J. D., & Craig, D. W.
Venue
Nature Reviews Genetics
Published
2016-03-21
Volume
17
Issue
5
Pages
257-271
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2308074142
Cited by
809
References
24
FWCI
10.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Translating RNA sequencing into clinical diagnostics: opportunities and challenges. https://app.cochat.ai/papers/10.1038/nrg.2016.10
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Byron, S. A., Van Keuren-Jensen, K. R., Engelthaler, D. M., Carpten, J. D., & Craig, D. W. (2016). Translating RNA sequencing into clinical diagnostics: opportunities and challenges. Nature Reviews Genetics. https://doi.org/10.1038/nrg.2016.10

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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.