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Pap, A.

Publications and source records attributed to Pap, A..

4 recordsLinked to original sources

Unraveling the Regenerative Proteomic Signature of Helix aspersa's Slime in Human Dermal Fibroblasts by Data-driven Proteomics Approach

Proteins orchestrate essential cellular processes, including metabolism, communication, survival, and regeneration, making proteomic profiling a powerful strategy to elucidate complex biological responses. Snail slime (SnS) has emerged as a bioactive material with documented pro-healing, antioxidant, and anti-inflammatory properties; however, its effects at the proteome level in normal human dermal fibroblasts (NHDFs) remain unexplored. In this study, an LC-MS-based proteomic approach (Data are available via ProteomeXchange with identifier PXD075292) combined with network and Gene Ontology enrichment analyses was employed to investigate SnS-induced molecular reprogramming in NHDFs, followed by functional assays. Results show that SnS is well tolerated for up to 72 h, confirming its cytocompatibility, followed by proteomic analysis revealing enrichment of biological processes related to apoptosis regulation, oxidative stress response, wound healing, cell migration, and anti-aging. Network analysis identified AKT, PI3K, SRC, and KRAS family members as key hub proteins, indicating convergence on central signaling pathways controlling survival, redox balance, and migratory activity. Functional assays demonstrated a time-dependent, controlled modulation of apoptosis consistent with cellular turnover, alongside a hormetic redox response characterized by transient ROS signaling followed by enhanced antioxidant capacity. Importantly, SnS significantly accelerated fibroblast migration, achieving complete wound closure within 24 h. Collectively, these findings demonstrate that SnS induces coordinated proteomic and functional reprogramming that integrates redox modulation, controlled apoptosis, and enhanced migration, providing a mechanistic basis for its pro-healing and anti-aging effects and supporting its potential as a regenerative biomaterial.

cell biology↗

Phosphoproteomic profiling reveals post-translational dysregulation in Huntington's disease patient-derived neurons

Huntingtons disease (HD) is a fatal neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin (HTT) gene. Although transcriptomic and proteomic changes have been characterized in patient-derived neurons, the contribution of post-translational modifications (PTMs), such as phosphorylation, remains poorly understood. Here, we present the first phosphoproteomic analysis by mass spectrometry (P-MS) of human induced neurons (iNs) directly reprogrammed from HD patient fibroblasts. We identified 177 phosphopeptides with significantly altered abundance in HD-iNs, mapping to phosphoproteins associated with key signaling pathways known to be affected in HD, such as splicing and autophagy. By integrating P-MS data with previously published proteomic and transcriptomic data from the same donors, we identified distinct subsets of ON-OFF phosphopeptides that exhibited a complete loss of phosphorylation in either HD- or Ctrl-iNs, without corresponding changes at the RNA or protein level. An exception was MXRA8, previously described in glial cells as a mediator of blood-brain barrier integrity and astrocyte-mediated neuroinflammation. This protein showed increased protein abundance despite the absence of phosphorylation in HD- iNs, suggesting a compensatory mechanism - a pattern also observed in human post mortem cortical HD tissue. Additionally, MXRA8 showed altered protein-protein interactions with lysosomal and metabolic regulators in HD-iNs, highlighting its potential role in autophagy impairment as well as in neurovascular dysfunction. These findings uncover a distinct layer of post-translational dysregulation in HD, suggesting that phospho-switch proteins such as MXRA8 may be candidate effectors of pathology and thus site-specific phosphorylation loss may contribute to impaired signaling and proteostasis in human HD neurons.

neuroscience↗

Transglutaminase 2 associated with PI3K and PTEN in a putative membrane-bound signalosome platform blunts cell death

Atypically expressed transglutaminase 2 (TG2) has been identified as a poor prognostic factor in a variety of cancers. In this study, we evaluated the contribution of TG2 to the prolonged cell survival of differentiated acute promyelocytic leukaemia (APL) cells in response to the standard treatment with combined retinoic acid (ATRA) and arsenic trioxide (ATO). We report that one advantage of ATRA + ATO treatment compared to ATRA alone diminishes the amount of activated and non-activated CD11b/CD18 and CD11c/CD18 cell surface integrin receptors. These changes suppress ATRA-induced TG2 docking on the cytosolic part of CD18 {beta}2-integrin subunits and reduce cell survival. In addition, TG2 overexpresses and hyperactivates the phosphatidylinositol-3-kinase (PI3K), phospho-AKT S473, and phospho-mTOR S2481 signalling axis. mTORC2 acts as a functional switch between cell survival and death by promoting the full activation of AKT. We show that TG2 presumably triggers the formation of a signalosome platform, hyperactivates downstream mTORC2-AKT signalling, which in turn phosphorylates and inhibits the activity of FOXO3, a key pro-apoptotic transcription factor. In contrast, the absence of TG2 restores basic phospho-mTOR S2481, phospho-AKT S473, PI3K, and PTEN expression and activity, thereby sensitising APL cells to ATO-induced cell death. We conclude, that atypically expressed TG2 may serve as a hub, facilitating signal transduction via signalosome formation by the CD18 subunit with both PI3K hyperactivation and PTEN inactivation through the PI3K PTEN cycle in ATRA-treated APL cells.

cancer biology↗

Community Evaluation of Glycoproteomics Informatics Solutions Reveals High-Performance Search Strategies of Glycopeptide Data

Glycoproteome profiling (glycoproteomics) is a powerful yet analytically challenging research tool. The complex tandem mass spectra generated from glycopeptide mixtures require sophisticated analysis pipelines for structural determination. Diverse software aiding the process have appeared, but their relative performance remains untested. Conducted through the HUPO Human Proteome Project - Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates the performance of informatics solutions for system-wide glycopeptide analysis. Mass spectrometry-based glycoproteomics datasets from human serum were shared with all teams. The relative team performance for N- and O-glycopeptide data analysis was comprehensively established and validated through orthogonal performance tests. Excitingly, several high-performance glycoproteomics informatics solutions were identified. While the study illustrated that significant informatics challenges remain, as indicated by a high discordance between annotated glycopeptides, lists of high-confidence (consensus) glycopeptides were compiled from the standardised team reports. Deep analysis of the performance data revealed key performance-associated search variables and led to recommendations for improved "high coverage" and "high accuracy" glycoproteomics search strategies. This study concludes that diverse software for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies, and specifies key variables that may guide future software developments and assist informatics decision-making in glycoproteomics.

biochemistry↗