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Integrative multi-faceted proteomics: Deconvoluting expression, stability, and redox dynamics in the interferon response
University of Skövde, School of Bioscience.
2026 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

IFNs are vital signaling cytokines that orchestrate complex, system-wide immune defenses. While their therapeutic and biomarker potential is vast, traditional abundance-based proteomics is fundamentally insufficient to capture the intricate post-translational and conformational dynamics driving these specific biological responses. This study aimed to systematically characterize the distinct mechanisms of action across different IFN types using a multi-faceted proteomics approach, seeking to deconvolute the complex immune regulatory landscape and identify novel functional targets. Human myeloid cell lines (THP-1 and HL-60) were stimulated with IFN-α, -β, or -γ. Protein expression, thermal stability, and redox states were simultaneously measured using the novel PISA-REX proteomics methodology. The resulting orthogonal datasets were evaluated independently via network clustering and functional enrichment, and subsequently integrated using the multi-block DIABLO (sPLS-DA) framework. Independent facet analysis revealed nuanced, subtype-specific regulatory mechanisms completely undetected by standard expression profiling, including the unique reductive properties of IFN-γ and the differential stability regulation of non-canonical pathways. Multi-omics integration successfully deconvoluted the core global IFN response from these subtype-specific signatures. Alongside canonical targets, this approach highlighted uncharacterized regulatory behaviors in novel biomarkers, notably the differential stabilization of the MCT1/MCT4 lactate transport complex. Furthermore, untargeted site-specific screening captured a broad array of established redox switches and functional residues, validating the high-throughput discovery potential of the PISA-REX pipeline. These findings demonstrate that standard expression measurements are inadequate for capturing the nuances of interferon perturbations. Future system-wide target deconvolution and the mapping of immune signaling networks rely inherently on multi-faceted, structure-aware proteomics. 

Place, publisher, year, edition, pages
2026. , p. 45
National Category
Medical Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:his:diva-26645OAI: oai:DiVA.org:his-26645DiVA, id: diva2:2077332
External cooperation
Karolinska Institutet
Subject / course
Systems Biology
Educational program
Molecular Biotechnology - Master's Programme, 120 ECTS
Supervisors
Examiners
Available from: 2026-06-23 Created: 2026-06-23 Last updated: 2026-06-26Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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