Interferon-Stimulated Genes in Antiviral Immunity
A special issue of Viruses (ISSN 1999-4915). This special issue belongs to the section "Viral Immunology, Vaccines, and Antivirals".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 31
Special Issue Editor
Interests: HIV; host restriction; CRISPR/Cas9; BST-2; IFITM; MxB
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to launch this Special Issue on interferon-stimulated genes (ISGs) that protect hosts against viral infections through a rich variety of molecular mechanisms. In recent decades, significant progress has been made in elucidating the antiviral functions of individual ISGs and in deciphering the molecular details of their actions, ranging from early studies of OAS/RNase L and Mx proteins to systematic screening for ISGs that inhibit different classes of viruses. Despite these efforts, the functions of many ISGs remain unexplored, and there is limited research on how they act in concert to protect cells against viral infections and mitigate viral diseases in vivo. It is expected that much more work will be conducted on these fast-evolving fronts.
This Special Issue invites the submission of manuscripts describing the antiviral functions of ISGs as well as viral counter-attack mechanisms. We particularly welcome studies on ISGs that encode non-coding RNA and on their roles during viral infections, as well as those on ISGs from species such as bats, birds, pigs, and other natural reservoirs of viruses that are sporadically transmitted to humans and cause pandemics. We encourage the submission of studies on how ISGs modulate cellular environments such as the metabolic state to deter viral replication. We also welcome studies aimed at revealing the operation of the ISG network with the application of systems biology and deep learning tools.
Prof. Dr. Chen Liang
Guest Editor
Manuscript Submission Information
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Keywords
- interferon-stimulated genes
- ISGs
- non-coding RNA
- viral replication
- deep learning tools
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