Related Experiment Video
Updated: Jan 9, 2026

High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
Published on: March 24, 2015
Interferon signaling pathways in health and disease
Chunli Wen1,2, Qingzhan Lan3, Yunshan Wang3
1Department of Clinical Laboratory, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, People's Republic of China.
None:
Interferons (IFNs) are a family of cytokines that orchestrate a wide range of antiviral, immunoregulatory, and antitumor activities. This review provides a comprehensive overview of the molecular mechanisms underlying IFN signaling, including both canonical JAK (janus kinases)-STAT (signal transducers and activators of transcription) pathways and non-canonical branches such as MAPK (mitogen-activated protein kinase) and PI3K (phosphoinositide 3-kinase)-AKT (protein kinase B)-mTOR (mechanistic target of rapamycin). The intricate interplay between these signaling modules and transcriptional, epigenetic, and post-transcriptional regulators is essential for maintaining immune homeostasis and tailoring context-dependent immune responses. Under physiological conditions, IFNs are essential for host defense, driving antiviral gene expression, activating innate immune cells, and shaping adaptive immune responses, including T and B cells. Conversely, dysregulation of IFN signaling contributes to the development of autoimmune diseases, neuroinflammation, cardiovascular disorders, and cancer. Tumor cells can exploit IFN-induced suppressive molecules to evade immune attack. The currently emerging therapeutic strategies of IFN signaling have evolved into a dual strategy: replacement therapy in immunodeficient states, and pathway inhibition in autoimmune conditions. Additionally, IFN-based combination therapies with immune checkpoint blockade and radiotherapy have demonstrated synergistic potential but require precise control of dosing and timing to avoid immune exhaustion. Advances in single-cell transcriptomics, proteomics, and metabolomics are providing novel insights into IFN heterogeneity, enabling the development of personalized IFN-based treatments. This review highlights the clinical implications and emerging strategies to harness or restrain IFN signaling for therapeutic benefit.
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