ReviewViruses2021
Top-Down and Bottom-Up Proteomics Methods to Study RNA Virus Biology.
Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- The kinetics of nsp7-11 polyprotein processing and impact on complexation with nsp16 among human coronaviruses.Nature communications · 2025Article
- Proteomic Insights into Bacterial Responses to Antibiotics: A Narrative Review.International journal of molecular sciences · 2025Review
- What Can Proteomics Tell us About COVID-19 Infections? Mass Spectrometry as a Tool to Find New Proteins as Biomarkers.Current protein & peptide science · 2025Review
- Proteome-wide characterization of PTMs reveals host cell responses to viral infection and identifies putative antiviral drug targets.Frontiers in immunology · 2025Review
- Unveiling the intricacy of gapmer oligonucleotides through advanced tandem mass spectrometry approaches and scan accumulation for 2DMS.The Analyst · 2024Article
- Mass spectrometry-intensive top-down proteomics: an update on technology advancements and biomedical applications.Analytical methods : advancing methods and applications · 2024Review
- Identification of RVFV Host Factors Using Quantitative Interaction Proteomics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Neuroretinal degeneration in a mouse model of systemic chronic immune activation observed by proteomics.Frontiers in immunology · 2024Article
- Special Issue "Next-Generation Technologies to Understand Mechanisms of Virus Infections".Viruses · 2022Article
- Proteomic Approaches to Unravel Mechanisms of Antibiotic Resistance and Immune Evasion of Bacterial Pathogens.Frontiers in medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA viruses cause a wide range of human diseases that are associated with high mortality and morbidity. In the past decades, the rise of genetic-based screening methods and high-throughput sequencing approaches allowed the uncovering of unique and elusive aspects of RNA virus replication and pathogenesis at an unprecedented scale. However, viruses often hijack critical host functions or trigger pathological dysfunctions, perturbing cellular proteostasis, macromolecular complex organization or stoichiometry, and post-translational modifications. Such effects require the monitoring of proteins and proteoforms both on a global scale and at the structural level. Mass spectrometry (MS) has recently emerged as an important component of the RNA virus biology toolbox, with its potential to shed light on critical aspects of virus-host perturbations and streamline the identification of antiviral targets. Moreover, multiple novel MS tools are available to study the structure of large protein complexes, providing detailed information on the exact stoichiometry of cellular and viral protein complexes and critical mechanistic insights into their functions. Here, we review top-down and bottom-up mass spectrometry-based approaches in RNA virus biology with a special focus on the most recent developments in characterizing host responses, and their translational implications to identify novel tractable antiviral targets.
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What OpenQuestion holds
Registered trials
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.