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Proteomes

Proteomes is an international, peer-reviewed, open access journal on all aspects of proteomics published quarterly online by MDPI. Your place for critical, comprehensive proteomic studies contributing to systems-level understanding.

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All Articles (556)

  • Review
  • Open Access

Classical liquid chromatography–tandem mass spectrometry (LC-MS/MS) remains a cornerstone of proteomics, but deep profiling of complex biofluids is constrained by the extreme dynamic range of protein abundance and low sample throughput. Emerging high-multiplex platforms address these limitations through distinct high-throughput configurations, including antibody-based proximity assays, modified aptamers, nanoparticle-assisted mass spectrometry, and digital single-molecule immunoassays. Despite their discovery potential, these technologies operate within alternative bottom-up or affinity-based frameworks, meaning that they are not interchangeable. Quantitative measurements of nominally identical proteins frequently show poor to moderate cross-platform agreement, reflecting fundamental differences in chemistry, epitope accessibility, matrix susceptibility, genetic variants, and peptide-level protein inference. Crucially, because these platforms generally yield aggregate quantitative readouts, they typically average across the proteoform spectrum, limiting their ability to differentiate whether an abundance shift is driven by specific splice variants, localized post-translational modifications, or a uniform increase in the protein’s overall concentration. This review provides a balanced, decision-oriented comparison of the Olink Proximity Extension Assay, SomaLogic SomaScan, Seer Proteograph and Quanterix Simoa, delineating their operational utility alongside their respective technical limitations. We propose a practical framework to guide platform selection based on the specific biological question, cohort size, and required structural resolution, while evaluating strategies to enhance cross-platform reproducibility via standardized reference matrices, structure-informed interpretation, and multi-tiered validation workflows.

Proteomes

29 September 2026

Architectural Mechanisms and Structural Constraints of the Proximity Extension Assay (PEA). Productive signal generation requires simultaneous dual-epitope binding by Antibody 1 and Antibody 2 to permit oligonucleotide hybridization and extension (A). While minimizing cross-reactivity, this configuration introduces a systemic vulnerability to structural protein variation. Post-translational modifications (PTMs) can physically block antibody binding, resulting in a loss of reporter signal despite unchanged total protein abundance (B). Similarly, alternative splicing events that omit an engineered target exon preclude dual-antibody assembly and suppress signal generation (C). PEA readouts are therefore governed by localized epitope accessibility rather than providing an absolute quantification of all circulating proteoforms.
  • Article
  • Open Access

In Silico Phosphoproteomic Profiling of the MAP3K3 Signaling Network

  • Jetna John,
  • Suhail Subair and
  • Rajesh Raju
  • + 6 authors

Background: Mitogen-activated protein kinase kinase kinase 3 (MAP3K3) is a serine/threonine kinase that exhibits oncogenic activity in various cancers. Despite the established role of MAP3K3 in signal transduction, its phosphosignaling landscape, including the mechanisms underlying its activation and the identification of its upstream kinases and downstream substrates, remains poorly characterized. Methods: To explore this network, we analyzed the global phosphoproteomics datasets to identify predominant sites of MAP3K3. Co-concordance and co-occurrence analyses were conducted to characterize the functional significance of site-specific phosphorylation of MAP3K3. Results: From the 588 profiling datasets and 124 differential datasets, we identified S340, S337, and S166 as predominant phosphosites. We then categorized the phosphosites in other proteins (PsOPs), which were positively and negatively co-concordant with the predominant sites of MAP3K3. From the known and predicted upstream kinases, substrates, and interactors, we isolated the PsOPs that have a role in carcinogenesis. Conclusions: Finally, by integrating these co-concordance data with the currently known and predicted upstream kinases, substrates, and interactors, we constructed a phosphosignaling network of MAP3K3-driven carcinogenesis. This network provides insights into the potential upstream kinases and substrates of MAP3K3 in the context of carcinogenesis.

Proteomes

28 September 2026

Workflow and findings of the study, including data assembly and analysis of phosphosites in MAP3K3 and their co-concordant phosphosites in other proteins.
  • Review
  • Open Access

Obesity, type 2 diabetes (T2D), metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction-associated steatohepatitis (MASH), and dual-etiology metabolic dysfunction-associated alcohol-related liver disease (MetALD) form an overlapping metabolic dysfunction spectrum, rather than a single linear disease sequence. Proteomics offers a functional readout of this spectrum by measuring proteins, proteoforms, and protein species involved in tissue injury, inflammation, metabolic stress, and inter-organ communication. This review asks how proteomic data can support mechanism-based stratification, rather than simply generate disease-associated signatures. We summarize advances in circulating and tissue-based proteomics across obesity, T2D, MASLD/MASH, and MetALD, highlighting shared and disease-specific pathways such as mitochondrial dysfunction, extracellular matrix remodeling, immune activation, proteostasis stress, and endocrine crosstalk. We emphasize that proteomic clusters should be considered candidate endotypes only when they are reproducible, mechanistically coherent, linked to tissue or causal evidence, and clinically informative. We also evaluate bioinformatics and biostatistical strategies needed for reliable interpretation, including preprocessing, missing-data handling, normalization, longitudinal modeling, multi-omics integration, protein quantitative trait locus (pQTL) analysis, colocalization, and Mendelian randomization. Finally, we discuss how proteoforms, post-translational modifications (PTMs), and platform-dependent proteome complexity shape interpretation. Together, these concepts provide practical guidance for moving from proteomic signatures to candidate endotypes and for prioritizing clinically useful biomarkers and therapeutic targets.

Proteomes

20 September 2026

Proteome-informed framework for metabolic liver disease stratification. The schematic positions MASLD/MASH and MetALD within the obesity–T2D–metabolic liver disease axis. It summarizes possible disease trajectories, liver-secreted proteins, tissue–plasma concordance, noninvasive biomarker panels, circulating proteomic signals, shared pathways, and inter-organ crosstalk mediated by hormones, cytokines, lipids, and extracellular vesicles (EVs). Arrows indicate possible paths and shared mechanisms, rather than a required chronological sequence. Created with BioRender.com (https://BioRender.com/emx09n5, accessed on 17 September 2026). Abbreviations: ECM, extracellular matrix; ER, endoplasmic reticulum; CYP2E1, cytochrome P450 family 2 subfamily E member 1; ROS, reactive oxygen species.
  • Review
  • Open Access

Biological Functions and Applications of Exosomes from Periodontal Ligament Stem Cells

  • Omer Tarik Ozdemir,
  • Hideki Sugii and
  • Hidefumi Maeda
  • + 1 author

Periodontal regeneration requires the reconstruction of root cementum, periodontal ligament, and alveolar bone, which are frequently disrupted by periodontitis, trauma, and other inflammatory conditions. Although periodontal ligament stem cells (PDLSCs) have been considered promising for periodontal tissue engineering because of their multipotency, self-renewal capacity, and immunomodulatory activity, direct cell-based therapy still faces various limitations, including donor variability, culture-related changes, delivery difficulties, and safety concerns. Exosomes and small extracellular vesicles derived from PDLSCs have therefore attracted attention as potential cell-free mediators of PDLSC paracrine activity. PDLSC-derived exosomes carry bioactive molecules, including proteins, lipids, messenger RNAs, and microRNAs, and can influence recipient cell behavior in periodontal and bone regenerative environments. In vitro and preclinical animal studies indicate that PDLSC-derived exosomes are involved in osteogenesis, periodontal attachment repair, cementogenesis, angiogenesis, mechanotransduction, cell proliferation/survival, and immune regulation. Their biological effects are closely related to the condition of their parental PDLSCs, their cargo, and the exosome isolation and characterization methods used. In this review, we summarize recent findings on the isolation strategies used, biological functions of, and therapeutic potential of PDLSC-derived exosomes, with particular focus on protein cargo, proteomic signatures, proteoform-related interpretation, and microRNA-mediated regulation. We also discuss current challenges in exosome isolation, characterization, delivery, stability, and reporting standards for future periodontal regenerative applications. The findings discussed throughout are preclinical, and their translation to clinical settings remains to be explored.

Proteomes

10 September 2026

Common strategies for isolating PDLSC-derived exosomes or small extracellular vesicles.

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Neuroproteomics
Reprint

Neuroproteomics

Editors: Angus C. Nairn, Kenneth R. Williams
Plant Proteomics
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Plant Proteomics

Editors: Setsuko Komatsu, Zahed Hossain
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Proteomes - ISSN 2227-7382