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Volume 44 Issue 1, January 2026

Detecting viruses at single-cell resolution

Luebbert et al. present a method to detect viral sequences in bulk and single-cell transcriptomic data using conserved amino acid domains instead of annotated reference genomes.

See Luebbert et al.

Image: Xinyi Christine Zhang and Laura Luebbert. Cover design: Erin Dewalt

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  • Our understanding of the genetic mechanisms underlying rare diseases has rapidly advanced over the past decade, largely because of technological innovations. Yet clinical practice still has a strong monogenic focus, leaving many individuals undiagnosed. This Comment outlines how technological advances such as long-read sequencing should be adopted to increase multivariant testing in the clinic.

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    • Oda Blomqvist Picard
    • Anna Lindstrand
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  • We introduce a method that detects viral sequences in RNA sequencing data on the basis of highly conserved proteins, enabling the detection of more than 100,000 RNA virus species. We analyzed the presence of novel viruses and host gene expression in parallel to characterize viral tropism and host immune responses in individual cells.

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  • The mechanism of translation initiation in linear and circular mRNAs influences translation efficiency. Covalent attachment of an N7-methylguanosine (m7G) cap increases protein production from circular mRNAs in mice. Hybridization with capped endogenous RNAs also promotes protein production in cells, suggesting that this interaction might also occur between endogenous RNAs.

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