Evidence map›Paper›PMID 40515996›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

A Comprehensive Data Processing Pipeline for Phosphoproteomics in Viral Infection Studies.

Sini Huuskonen, Xiaonan Liu, Kari Salokas, Antti Tuhkala, Salla Keskitalo, Markku Varjosalo

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sini HuuskonenInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Xiaonan LiuInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Kari SalokasInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Antti TuhkalaInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Salla KeskitaloInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Markku VarjosaloInstitute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland. markku.varjosalo@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol outlines a comprehensive methodology for investigating cellular responses to viral infections through quantitative global and phosphoproteome analysis. Phosphorylation, a crucial posttranslational modification, regulates various cellular processes and plays a key role in virus-host interactions. To study the phosphorylation events, we have developed an analysis pipeline, and the subsequent steps detail sample preparation techniques for obtaining high-quality protein samples suitable for phosphoproteomic analysis. These include lysing virus-infected cells, processing protein samples through reduction, alkylation, digestion, and desalting, and enriching phosphopeptides using CAE-Ti-IMAC microspheres. High-throughput DIA-PASEF MS-analysis using TimsTOF Pro 2 facilitates sensitive detection of phosphorylation events, enabling a comprehensive understanding of viral infection, replication, and cytotoxicity in the host cell. The protocol also integrates the DIA-NN program for processing and analyzing MS data. Overall, this protocol provides a robust framework for identifying potential therapeutic targets within these altered pathways for elucidating the molecular mechanisms underlying viral pathogenesis and host immune evasion.

Indexed as

PhosphoproteinsProteomeProteomicsVirus DiseasesHost-Pathogen InteractionsHumansPhosphopeptidesPhosphorylationProtein Processing, Post-TranslationalPhosphopeptidesPhosphoproteinsProteomeDIA-PASEF MS-analysisPhosphopeptide enrichmentPhosphoproteomicsPhosphorylationPosttranslational modifications (PTMs)Protein kinasesSARS-CoV-2Viral infectionsVirus-host interactions

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.