Single-cell profiling of lncRNA expression during Ebola virus infection in rhesus macaques

  • Luisa Santus
  • , Maria Sopena-Rios
  • , Raquel García-Pérez
  • , Aaron E. Lin
  • , Gordon C. Adams
  • , Kayla Barnes
  • , Katherine J. Siddle
  • , Shirlee Wohl
  • , Ferran Reverter
  • , John L. Rinn
  • , Richard S. Bennett
  • , Lisa E. Hensley
  • , Pardis C. Sabeti
  • , Marta Melé

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Long non-coding RNAs (lncRNAs) are involved in numerous biological processes and are pivotal mediators of the immune response, yet little is known about their properties at the single-cell level. Here, we generate a multi-tissue bulk RNAseq dataset from Ebola virus (EBOV) infected and not-infected rhesus macaques and identified 3979 novel lncRNAs. To profile lncRNA expression dynamics in immune circulating single-cells during EBOV infection, we design a metric, Upsilon, to estimate cell-type specificity. Our analysis reveals that lncRNAs are expressed in fewer cells than protein-coding genes, but they are not expressed at lower levels nor are they more cell-type specific when expressed in the same number of cells. In addition, we observe that lncRNAs exhibit similar changes in expression patterns to those of protein-coding genes during EBOV infection, and are often co-expressed with known immune regulators. A few lncRNAs change expression specifically upon EBOV entry in the cell. This study sheds light on the differential features of lncRNAs and protein-coding genes and paves the way for future single-cell lncRNA studies.

Original languageEnglish
Article number3866
Pages (from-to)e3866
JournalNature Communications
Volume14
Issue number1
Early online date30 Jun 2023
DOIs
Publication statusPublished - 30 Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Themes

  • Emerging and Re-Emerging Diseases

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