ArticleComputational and structural biotechnology journal2024
iSanXoT: A standalone application for the integrative analysis of mass spectrometry-based quantitative proteomics data.
Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- A decline in skeletal muscle NOX4 abrogates exercise-induced adaptive homeostasis and exacerbates biological aging.Science advances · 2026Article
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- Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics.Genome biology · 2026Article
- Loss of Gαq reshapes fibroblast traits and drives tumor-stroma remodeling in oral cancer progression.EMBO reports · 2026Article
- Mitochondrial remodeling in skeletal muscle underlies exercise-induced reversal of age-associated functional decline in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cardiac Macrophages and Fibroblasts Modulate Atrial Fibrillation Maintenance.Circulation research · 2026Article
- Fibroblast Growth Factor 23 as a Prognostic Biomarker in Post-Myocardial Infarction Outcomes: Influence of Renal Function and Its Modulation by Klotho.Journal of the American Heart Association · 2026Article
- Posttranslational Dynamics of the Subcellular Proteome by Mass Spectrometry-Based Proteomics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Chaperone-mediated autophagy sustains muscle stem cell regenerative functions but declines with age.Nature metabolism · 2025Article
- Administration of Single or Repeated Doses of CDCs in a Swine Model of Reperfused Myocardial Infarction: Magnetic Resonance and Proteomics Evaluation.International journal of molecular sciences · 2025Article
- Phenotypic, proteomic, and functional analyses of cytokine-induced memory-like NK cells show two distinct subsets based on CD16 expression.Scientific reports · 2025Article
- Benchmark for Quantitative Global and Redox Proteomics Analysis by Combining Protein-Aggregation Capture and Data Independent Acquisition.Analytical chemistry · 2025Article
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- A New GlyT2 Variant Associated with Hyperekplexia.International journal of molecular sciences · 2025Article
- Immunoglobulin A/PIGR axis as potential mediators of human abdominal aortic aneurysms revealed by topologically resolved proteomics.Journal of translational medicine · 2025Article
- PERK-dependent reciprocal crosstalk between ER and non-centrosomal microtubules coordinates ER architecture and cell shape.Cell reports · 2025Article
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11 authors.
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Abstract
Many bioinformatics tools are available for the quantitative analysis of proteomics experiments. Most of these tools use a dedicated statistical model to derive absolute quantitative protein values from mass spectrometry (MS) data. Here, we present iSanXoT, a standalone application that processes relative abundances between MS signals and then integrates them sequentially to upper levels using the previously published Generic Integration Algorithm (GIA). iSanXoT offers unique capabilities that complement conventional quantitative software applications, including statistical weighting and independent modeling of error distributions in each integration, aggregation of technical or biological replicates, quantification of posttranslational modifications, and analysis of coordinated protein behavior. iSanXoT is a standalone, user-friendly application that accepts output from popular proteomics pipelines and enables unrestricted creation of quantification workflows and fully customizable reports that can be reused across projects or shared among users. Numerous publications attest the successful application of diverse integrative workflows constructed using the GIA for the analysis of high-throughput quantitative proteomics experiments. iSanXoT has been tested with the main operating systems. Download links for the corresponding distributions are available at https://github.com/CNIC-Proteomics/iSanXoT/releases.
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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.