A1 Refereed original research article in a scientific journal
The comprehensive SARS-CoV-2 ‘hijackome’ knowledge base
Authors: Huuskonen, Sini; Liu, Xiaonan; Pöhner, Ina; Redchuk, Taras; Salokas, Kari; Lundberg, Rickard; Maljanen, Sari; Belik, Milja; Reinholm, Arttu; Kolehmainen, Pekka; Tuhkala, Antti; Tripathi, Garima; Laine, Pia; Belanov, Sergei; Auvinen, Petri; Vartiainen, Maria; Keskitalo, Salla; Österlund, Pamela; Laine, Larissa; Poso, Antti; Julkunen, Ilkka; Kakkola, Laura; Varjosalo, Markku
Publisher: Springer Nature
Publication year: 2024
Journal: Cell Discovery
Journal name in source: Cell Discovery
Volume: 10
Issue: 1
eISSN: 2056-5968
DOI: https://doi.org/10.1038/s41421-024-00748-y
Web address : https://www.nature.com/articles/s41421-024-00748-y
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/477900279
The continuous evolution of SARS-CoV-2 has led to the emergence of several variants of concern (VOCs) that significantly affect global health. This study aims to investigate how these VOCs affect host cells at proteome level to better understand the mechanisms of disease. To achieve this, we first analyzed the (phospho)proteome changes of host cells infected with Alpha, Beta, Delta, and Omicron BA.1 and BA.5 variants over time frames extending from 1 to 36 h post infection. Our results revealed distinct temporal patterns of protein expression across the VOCs, with notable differences in the (phospho)proteome dynamics that suggest variant-specific adaptations. Specifically, we observed enhanced expression and activation of key components within crucial cellular pathways such as the RHO GTPase cycle, RNA splicing, and endoplasmic reticulum-associated degradation (ERAD)-related processes. We further utilized proximity biotinylation mass spectrometry (BioID-MS) to investigate how specific mutation of these VOCs influence viral–host protein interactions. Our comprehensive interactomics dataset uncovers distinct interaction profiles for each variant, illustrating how specific mutations can change viral protein functionality. Overall, our extensive analysis provides a detailed proteomic profile of host cells for each variant, offering valuable insights into how specific mutations may influence viral protein functionality and impact therapeutic target identification. These insights are crucial for the potential use and design of new antiviral substances, aiming to enhance the efficacy of treatments against evolving SARS-CoV-2 variants.
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