Back

Ribonuclease L Regulates Antiviral Responsiveness through Cleavage of XBP1 mRNA

Takenaka, Y.; Akiyama, Y.; Inaba, T.; Shinozuka, D.; Aoyama, K.; Ogasawara, R.; Kunii, N.; Abe, T.; Morita, E.; Tomioka, Y.; Ivanov, P.

2026-03-23 molecular biology
10.64898/2026.03.21.713401 bioRxiv
Show abstract

During viral infection, viral replication perturbs endoplasmic reticulum (ER) homeostasis and triggers the unfolded protein response (UPR). XBP1s, a transcription factor generated by one branch of the UPR, is known to potentiate both innate and adaptive immunity, but its role in antiviral responses remains incompletely understood beyond its ability to augment type I interferon (IFN) mRNA induction. Here, we show that XBP1s positively regulates the RIG-I-like receptors (RLRs), ribonuclease L (RNase L), and protein kinase R (PKR) pathways, indicating that it enhances all three major antiviral response pathways. We further show that RNase L activation rapidly decreases XBP1 mRNA levels in an RNase activity-dependent manner, leading to a prompt reduction in XBP1s expression. Consistent with this, RNase L deletion significantly increased both thapsigargin-mediated XBP1s induction and XBP1s expression following Japan encephalitis virus infection. Poly(I:C)-induced IFNB mRNA expression was significantly enhanced in RNase L-knockout cells. This enhancement was completely abolished by RNase L reconstitution. XBP1 knockdown also significantly attenuated IFNB mRNA expression in RNase L-knockout cells. These findings suggest a negative-feedback loop in which RNase L suppresses XBP1s, thereby fine-tuning antiviral responsiveness during viral infection. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/713401v1_ufig1.gif" ALT="Figure 1000"> View larger version (19K): org.highwire.dtl.DTLVardef@112d312org.highwire.dtl.DTLVardef@df79a9org.highwire.dtl.DTLVardef@1ac571borg.highwire.dtl.DTLVardef@18ac610_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
PLOS Pathogens
721 papers in training set
Top 2%
8.3%
2
eLife
5422 papers in training set
Top 11%
6.9%
3
Journal of Virology
456 papers in training set
Top 0.9%
6.4%
4
iScience
1063 papers in training set
Top 2%
4.9%
5
Cell Reports
1338 papers in training set
Top 12%
4.2%
6
Protein & Cell
25 papers in training set
Top 0.6%
3.6%
7
PLOS Biology
408 papers in training set
Top 3%
3.6%
8
Viruses
318 papers in training set
Top 2%
3.1%
9
mBio
750 papers in training set
Top 6%
2.4%
10
Journal of Molecular Cell Biology
21 papers in training set
Top 0.1%
2.1%
11
Cell Discovery
54 papers in training set
Top 2%
2.1%
12
Cell Death & Differentiation
48 papers in training set
Top 0.1%
2.1%
13
Cell Death Discovery
51 papers in training set
Top 0.4%
1.9%
50% of probability mass above
14
Journal of Cellular Physiology
21 papers in training set
Top 0.2%
1.9%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 29%
1.9%
16
Molecular Cell
308 papers in training set
Top 6%
1.8%
17
EMBO reports
136 papers in training set
Top 3%
1.7%
18
International Journal of Molecular Sciences
453 papers in training set
Top 7%
1.7%
19
Advanced Science
249 papers in training set
Top 11%
1.7%
20
Frontiers in Immunology
586 papers in training set
Top 5%
1.3%
21
Journal of Molecular Biology
217 papers in training set
Top 2%
1.3%
22
Acta Biochimica et Biophysica Sinica
19 papers in training set
Top 0.4%
1.3%
23
Nature Communications
4913 papers in training set
Top 55%
1.3%
24
PLOS ONE
4510 papers in training set
Top 60%
1.2%
25
Frontiers in Microbiology
375 papers in training set
Top 7%
1.2%
26
Life Science Alliance
263 papers in training set
Top 0.8%
1.1%
27
Journal of Biological Chemistry
641 papers in training set
Top 3%
1.0%
28
Nucleic Acids Research
1128 papers in training set
Top 15%
0.9%
29
PLOS Genetics
756 papers in training set
Top 13%
0.9%
30
Virus Research
36 papers in training set
Top 1.0%
0.9%