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Proteomes

Proteomes is an international, peer-reviewed, open access journal on all aspects of proteomics published quarterly online by MDPI. 

Indexed in PubMed | Quartile Ranking JCR - Q2 (Biochemistry and Molecular Biology)

All Articles (510)

Background: Currently, post-translational modification (PTM) search in MS/MS data is performed using either open modification search (OMS) or closed search (CS) algorithms. The OMS method allows for the determination of many PTMs and unknown mass-shifts in one run. In contrast, closed search algorithms are more sensitive but limited in the number of PTMs that can be specified in one search. Methods: In this manuscript, we propose an optimized Python algorithm based on the IdentiPy search engine that performs an automated sequential search for each PTM based on previous annotations from public databases and customized protein lists. We also determined the sufficient size of the search space to increase the significance of false discovery rate (FDR) estimation. We modified the FDR calculation algorithm by implementing a spline approximation of the ratio of the modified decoys, and by calculating error propagation to filter out unstable data and determine the cutoff value. Results: The results of this pipeline for a test dataset were comparable to previously published data in terms of the number of unmodified peptides and proteins. Additionally, we identified 13 different types of peptide PTMs and achieved an increase in relative protein coverage. Our filtration method based on spline transferred FDR showed a superior number of identified peptides compared to separate FDR. Conclusions: Our developed pipeline can be used as a standalone application or as a module of multiple PTM search in data analysis platforms.

2 February 2026

Block scheme of “ptms_closed_search” pipeline. I—preprocessing: conversion of raw files to .mgf files (ThermoRawFileParser) and selection of FASTA file of a proteome; 1—standard MS/MS data search by IdentiPy search engine; 2—automated search of PTMs in public databases; 3—creation of FASTA files for proteins with PTMs. II—multiple searches: 4—sequential searches by IdentiPy search engine with included PTMs as variable modification. III—postprocessing: 5—calculation of PTM-specific FDR based on hyperscore; 6—data filtering by the target–decoy method; 7—combination and visualization of search results.

Background: Commercial feed formulations are increasingly being evaluated for their nutritional impacts on aquaculture species, yet the molecular consequences of commonly used commercial diets remain underexplored. Methods: This study investigated the effects of two commercial diets, diet A (higher land animal protein) and diet B (higher fish meal content), on the protein profile in the brain, liver, and intestine of barramundi (Lates calcarifer). A 12-week feeding trial was conducted with controlled water quality, and proteomic profiling was performed using data-independent acquisition. Results: Differential analysis revealed consistent changes between diets across all tissues, with a higher percentage of differentially abundant proteins observed in between-diet comparisons (12.99% in brain, 12.73% in liver, and 16.59% in intestine) than within-diet controls (<8%), confirming a measurable dietary effect size. In total, 3901 proteins in the brain, 3660 in the liver, and 5025 in the intestine were quantified. Functional enrichment highlighted upregulation of ferroptosis pathways, downregulation of apelin signaling in the brain, and increased digestive proteases in the liver. ICP-MS confirmed elevated iron concentrations in the brain, liver, and intestine of fish fed on diet B. Conclusions: These findings demonstrate that molecular pathways linked to iron metabolism, digestion, and growth regulation are very sensitive to dietary composition, highlighting how proteomics can help identify subtle impacts of compositional differences in aquaculture feeding. Although physiological parameters did not differ significantly, the proteomic alterations observed across tissues likely indicate organ-specific metabolic adaptations to the differing nutrient availability between diets.

29 January 2026

Partial least squares discriminant analysis (PLS-DA) of brain of the barramundi fed on diet A and diet B displayed at 95% confidence intervals highlights the clustering of the sample based on their response to different diets (n = 4).

Background: Cleft palate (CP) is a prevalent craniofacial malformation, with the TGFβ pathway playing a critical role. Recent evidence links autophagy to regulating mouse embryonic palatal mesenchyme (MEPM) cells, but its interaction with TGFβ-activated phosphorylation cascades remains largely unknown. Here, we investigated the interplay between these pathways during palatogenesis. Methods: H&E and IHC analyses revealed increased expression of Beclin 1 and LC3 during the critical period of palatal shelf elevation and fusion (E13.5–E15.5). Bulk RNA sequencing (Bulk RNA-seq) further revealed enrichment of autophagy-related pathways and their interaction with TGFβ signaling. TMT-based phosphoproteomics was performed on TGFβ2-treated MEPM cells. Results: We identified 23,471 peptides and 3952 proteins, including 6339 phosphopeptides corresponding to 2195 phosphoproteins. Differential analysis found 477 phosphopeptides with increased abundance and 53 with decreased abundance, revealing the enrichment of seven serine (p-Ser) motifs (RxxS, SDxD, SDxE, SP, SxDE, SxEE, SxxxxD) and one threonine (p-Thr) motif (TP). Notably, kinase-substrate enrichment analysis identified CSNK2A as a previously unrecognized phosphorylation regulator, together with MAPKs and CDKs. Functional enrichment showed significant involvement of mTOR, MAPK, and autophagy/mitophagy pathways. Conclusions: Our findings revealed that TGFβ2 reshapes the MEPM phosphoproteome through Smad-independent pathway, expanding the palate-specific phospho-signaling atlas beyond the canonical Smad cascade.

23 January 2026

Morphological changes and autophagy protein level in the murine palatal shelves during development. (A) H&amp;E staining of mouse palatal shelves from E13.5 to E15.5, showing developmental changes. PS, palatal shelves. Scale bar: 200 μm. (B,C) Immunohistochemical staining for autophagy markers BECLIN 1 and LC3 in palatal shelves at E13.5, E14.5, and E15.5. Brownish-yellow cytoplasmic staining indicates positive cells. Scale bar: 200 μm. (D,E) Quantification of the mean optical density from the immunohistochemistry, showing expression levels of BECLIN 1 (D) and LC3 (E). The data shown here are from representative experiments with 3 biological replicates and 3 technical replicates. Mean ± SD, **** p &lt; 0.0001.

Background: Abscisic acid (ABA) is a key phytohormone that regulates plant growth and stress responses through protein phosphorylation. While ABA-induced phosphosignaling has been extensively studied in Arabidopsis thaliana, its conservation and divergence across plant species remain unclear. Methods: Here, we performed phosphoproteomic analysis using LC-MS/MS in Arabidopsis, rice (Oryza sativa), and soybean (Glycine max) to compare ABA-responsive phosphorylation profiles among monocots, dicots, and legumes. Results: ABA treatments on Arabidopsis, rice, and soybean seedlings yielded approximately 24,604, 18,865, and 24,930 phosphopeptides, respectively. Comparative analyses revealed both conserved and species-specific ABA-responsive phosphoproteins. Conclusions: This work provides insights into the evolutionary diversification of ABA signaling and its potential applications in improving crop stress tolerance.

20 January 2026

Schematic overview of the experimental workflow for the phosphoproteomic analysis. Plants were grown hydroponically and treated with 50 µM ABA. Root and shoot samples were collected at 0, 15, 30, and 90 min after treatment.

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Neuroproteomics
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Editors: Angus C. Nairn, Kenneth R. Williams
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Proteomes - ISSN 2227-7382