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PubMed2026

Structural insights into histone mimicry by the small hepatitis delta antigen.

Hepatitis delta virus (HDV) is a satellite RNA virus that requires hepatitis B virus (HBV) for propagation but replicates its genome independently in the nucleus. The small form of the hepatitis delta antigen (S-HDAg) is essential for replication and is regulated by post-translational modifications. Acetylation at lysine 72 (K72ac) enables S-HDAg to interact with the bromodomain (BRD) of the host chromatin remodeler bromodomain adjacent to zinc finger domain protein 2B (BAZ2B) to promote viral replication. However, the structural basis for this interaction has remained elusive. Here, we provide structural and biophysical insights into this interaction through quantitative binding assays and X-ray crystallography. Isothermal titration calorimetry revealed that BRDs of BAZ2B and its close homolog BAZ2A bind to the viral peptide weakly, with BAZ2A-BRD exhibiting a modestly higher affinity. The crystal structure of BAZ2A-BRD in complex with the S-HDAg-K72ac peptide demonstrates an inverted binding orientation relative to canonical histone ligands, rationalizing the weak interaction. Mutagenesis studies confirmed the critical binding interface both in vitro and in cells. These findings elucidate the molecular mechanism by which HDV co-opts host BAZ2 bromodomains via a unique, weak-affinity interaction, providing a structural framework for understanding viral replication.

Hepatitis delta Antigens↗
PubMed2026

Genome-wide screening and functional analysis of protein glycosylation-related genes involved in tomato fruit ripening.

Protein glycosylation, an essential co- and post-translational modification, plays critical roles in plant growth, development, and stress responses. However, its functional role in tomato fruit ripening has not been extensively investigated. Here, key protein glycosylation-related genes involved in tomato fruit ripening were identified by genome-wide screen and subsequently functional characterization. First, a dataset comprising 242 glycosylation-related proteins was established based on Gene Ontology annotations in tomato, combined with sequence homology to protein glycosylation-related proteins from Arabidopsis thaliana and Homo sapiens. Then, Subsequently, 28 genes encoding highly expressed glycosylation-related proteins (RPKM > 30) at the breaker (BR) stage were selected for functional screening, and subsequently 6 genes were identified as regulators of fruit ripening by method of virus-induced gene silencing (VIGS). Among them, Solyc03g098600 (STT3B), Solyc01g109410 (OST48), Solyc04g082670 (RPN1), and Solyc08g076460 (DAD1) functioned as positive regulators of tomato fruit ripening, whereas Solyc04g005340 (UAM2) and Solyc08g075340 (XEG113), acted as negative regulators. The expression of these genes responded dynamically to multiple ripening-related cues, including temperature, light, ethylene, and transcription factors. Furthermore, silencing of these genes individually affected the expression of genes involved in fruit ripening, including ethylene biosynthesis genes (ACS2, ACS4, ACO1, and ACO3), ripening-associated transcription factors (RIN, NOR, NOR-LIKE1, FUL1, and FUL2), and the key gene (PSY1) of lycopene biosynthesis pathway. Collectively, these findings demonstrate that protein glycosylation plays an important role in tomato fruit ripening by modulating ethylene signaling, ripening-associated transcriptional regulation, and lycopene biosynthesis.

Fruit ripening↗
PubMed2026

Plant U-box E3 ligases: Versatile regulators of environmental stress adaptation and ABA signaling.

Ubiquitination is a reversible post-translational modification that orchestrates a wide spectrum of fundamental processes throughout the plant life cycle. Executed by a hierarchical E1-E2-E3 cascades, this modification tags targets with ubiquitin to modulate their turnover, activity, or subcellular compartmentalization. Among the diverse E3 ligase families, plant U-box (PUB) proteins stand out as a prominent class that determines substrate selection and has emerged as a focal point of stress biology. In this review, we first delineate the structural features of PUB proteins, highlighting their conserved domains and associated regulatory motifs. We then systematically dissect their multifaceted functions in abiotic stress adaptation, encompassing drought, salinity, extreme temperatures, oxidative stress, heavy metal toxicity, with particular emphasis on their integration with ABA signaling networks. We further outline critical knowledge gaps and propose future strategies to decode the regulatory architecture of PUBs. Collectively, this review provides a theoretical foundation and new insights for facilitating the genetic improvement of crop resilience in the face of continuously intensifying environmental stresses through the manipulation of PUB-mediated ubiquitination networks.

ABA signaling↗
PubMed2026

Cholesterol dysregulation in APOE4 astrocytes promotes α-synuclein pathology in miBrains.

The pathological hallmarks of neurodegeneration are the aberrant post-translational modification and aggregation of proteins. Genetic factors, like APOE4, increase the prevalence and severity of tau, amyloid, and α-synuclein pathologies. However, the human brain is largely inaccessible during this process, limiting mechanistic understanding. Here, we developed an iPSC-based 3D model that integrates neurons, glia, myelin, and cerebrovascular cells into a human brain-like tissue ("miBrain"). Single-nucleus RNA sequencing of miBrains confirmed the presence of diverse cell populations and revealed transcriptional responses to α-synuclein pathology. Like the human brain, pathogenic α-synuclein is increased in APOE4/4 miBrains. Combinatorial experiments revealed that endolysosomal dysfunction caused by cholesterol accumulation in APOE4/4 astrocytes impairs the degradation of soluble α-synuclein leading to a pathogenic transformation that seeds α-synuclein inclusions in neurons. Collectively, this study establishes a robust model for investigating protein inclusions in human iPSC-derived brain tissue and highlights the role of astrocytes and cholesterol in APOE4-mediated pathologies.

alpha-Synuclein↗
PubMed2026

Exploiting DNA damage tolerance for precision oncology.

Unresolved DNA lesions trigger replication stress, forcing cancer cells to hijack DNA damage tolerance (DDT) networks, specifically translesion synthesis (TLS) and template switching, to sustain replication. While DDT prevents lethal fork collapse, error-prone TLS drives mutagenesis, tumor evolution, chemoresistance and radioresistance. Proliferating cell nuclear antigen post-translational modifications dynamically govern pathway selection. Cancer cells exploit this plasticity, creating actionable vulnerabilities such as postreplicative single-stranded DNA gaps. Emerging inhibitors targeting TLS polymerases, upstream regulators such as ubiquitin-specific peptidase 1 (USP1), and critical protein-protein interactions offer unprecedented opportunities for precision oncology. By integrating DDT inhibition with biomarkers such as homologous recombination deficiency and tumor mutational burden, we can drive synthetic lethality, sensitize tumors to genotoxic agents, suppress treatment-induced mutagenesis, and potentially enhance responses to immunotherapy.

DDT↗
PubMed2026

Linker Histone H1 Phosphorylation Promotes DNA Damage Repair during Replication Stress.

DNA replication fidelity depends on the integrity of the replication fork to prevent DNA damage and preserve genome stability. Disruptions to this process can trigger replication stress, leading to the accumulation of single-strand DNA (ssDNA) and double-strand breaks (DSBs), which drive mutagenesis and ultimately contribute to disease. While the roles of core histones and their post-translational modifications in this context have been more well-studied, far less is known about how linker histones regulate the replication stress response. Here, we demonstrate that the S-phase-phosphorylated form of the linker histone H1 (pH1) plays a key role in DNA damage repair at collapsed replication forks, both in vitro and in cells. Using phosphomimic and phosphonull H1 mutants, we show that phosphorylation enhances H1 assembly with ssDNA. Utilizing intein chemistry for the site-specific incorporation of a photocrosslinker to the C-terminus of H1, we map the direct interactors of H1. We identify phosphorylated H1 at replication forks, where it engages replication machinery and DNA damage response factors, including Histone PARylation Factor 1 (HPF1). We further demonstrate that ssDNA induces pH1-HPF1 interactions that promote liquid-like assemblies, correlating with reduced DNA damage and histone PARylation. Consistent with this role, reduction of total H1 increases cellular sensitivity to DNA damage, a phenotype that is partially rescued by reintroduction of H1.4. Together, these findings establish pH1 as a new regulator of DNA damage repair at collapsed replication forks through the controlled sequestration of repair factors.

Journal Article↗
PubMed2026

Metab8D: a metabolic regulome network from multiomics and machine learning.

To explore multiomic regulation of the metabolome, we used machine learning to predict metabolomic variation across ~1000 different cancer cell lines with matched omics data from eight biomolecular classes: genomic copy number variation, mutations, DNA methylation, histone post-translational modifications (PTMs), transcriptomics and RNA splice variants, non-coding transcriptomics (miRNA and lncRNA), proteomics, and phosphoproteomics. Overall, the metabolome is tightly associated with the transcriptome, with coding and non-coding RNAs emerging as top predictors. Peripheral metabolites are predictable via levels of corresponding enzymes, while those in central metabolism require combinatorial predictors in signaling and redox pathways, and may not reflect corresponding pathway expression. We reconstruct multiomic interaction subnetworks for highly predictable metabolites, and YAP1 signaling emerged as a top global predictor across four omic layers. We prioritize predictive multiomic features for single-cell and spatial metabolomics assays. Top predictors were enriched for synthetic-lethal interactions and synergistic combination therapies that target compensatory metabolic modulators.

Machine Learning↗
PubMed2026

PARG inhibition reduces ssDNA levels and limits RPA loading upon replication fork collapse.

Poly(ADP-ribosyl)ation (PARylation) is a transient post-translational modification catalyzed by PARP enzymes and reversed by PARG. PARG inhibition causes sustained PARylation and is being explored as an anticancer strategy, but its cellular consequences remain incompletely understood. Here, we examine how persistent PARylation influences cellular responses to replication stress and DNA damage. We show that sustained PARylation reduces phosphorylated and chromatin-bound RPA most strongly under fork-stalling conditions that progress toward fork collapse. This effect requires PARP1 activity and is restrained by intact ATR-CHK1 signaling, as checkpoint inhibition renders otherwise resistant cells permissive for PARG inhibitor-associated phosphorylated RPA loss from the chromatin. The reduction of RPA phosphorylation is not dependent on BRCA1 and it is not accompanied by increased RAD51 loading. Instead, reduced chromatin-bound RPA coincides with decreased exposed ssDNA. Our results identify a checkpoint-dependent fork-collapse state in which sustained PARylation limits ssDNA and RPA levels.

Replication Protein A↗
PubMed2026

Clinical proteomics in inborn errors of metabolism: from biomarker discovery to implementation.

INTRODUCTION: Inborn errors of metabolism (IEMs) are rare, heterogeneous disorders traditionally diagnosed through genetic testing, enzyme assays, and metabolite measurements. However, these tools often do not fully explain phenotypic variability, organ involvement, disease progression, or treatment response. Clinical proteomics provides a complementary functional layer by capturing changes in protein abundance, proteoforms, post-translational modifications (PTM), and biological pathways, offering insights beyond genotype- and metabolite-based approaches. AREAS COVERED: This review examines the role of high-resolution mass spectrometry and computational proteomics in biomarker discovery and clinical decision-making for IEMs. It focuses on their contribution to diagnosis, variant interpretation, patient stratification, and treatment monitoring. Disease-specific applications are discussed, with the strongest evidence in lysosomal storage disorders, mitochondrial diseases, congenital disorders of glycosylation, and selected neurodegenerative or renal metabolic conditions. The literature search was performed in PubMed, Scopus, Web of Science, and Google Scholar, covering peer-reviewed articles available up to 2026, with emphasis on methodological advances and translational applications in clinical proteomics for IEMs. EXPERT OPINION: Proteomics will not replace established diagnostic tools, but it can help address clinically actionable questions in selected contexts. Translation into clinical practice will require standardized workflows, multicenter validation, clinically anchored endpoints, and integration with other omics approaches.

Humans↗
PubMed2026

Emerging Trends in Mass Spectrometry-Based Quantitative Proteome and Phosphoproteome Profiling in Maize.

Maize (Zea mays) is both an agronomically important crop and a reference model organism that has enabled the dissection of the molecular basis of plant development and environmental responses. Mass spectrometry-based proteomics provides a powerful approach to identify and quantify proteins and their post-translational modifications, facilitating the discovery of molecular mechanisms underlying complex biological processes. Unlike the study of gene expression using transcriptomics, analysis of the proteome and phosphoproteome provides direct measurement of proteins, which are responsible for driving or regulating nearly all cellular processes, thus offering a more complete picture of the cell's functional state. Over the past two decades, advancements in mass spectrometry have enabled large-scale profiling of protein abundance and phosphorylation sites in maize, improving our understanding of various biological phenomena. Here, we briefly summarize some of the major biological insights gained from maize proteome and phosphoproteome studies, and provide an overview of mass spectrometry sample preparation and acquisition/analysis workflows for the quantitative and reproducible analysis of protein abundance and phosphorylation dynamics in maize.

Zea mays↗
PubMed2026

Worldwide Innovative Network Consortium: Building a Common Global Cancer Database.

This review shares the ongoing work of the global Worldwide Innovative Network (WIN) Consortium for Precision Medicine to synthesize emerging cancer treatment data and to define the requirements for a common global cancer database that can truly support precision oncology. We performed a narrative review of emerging cancer treatment data, molecular profiling technologies, and existing clinicogenomic databases, focusing on how tumors are characterized, how subgroups are defined, and how demographic, lifestyle, and environmental factors are captured. The growth in molecular profiling technologies and the development of new targeted therapies are transforming cancer care. Tumors, regardless of tissue origin, are increasingly defined as composites of multiple, often rare, subgroups, each with distinct biology and likely response to specific therapies, based on multidimensional profiling of the tumor and its microenvironment. The solution lies in building vast databases that capture racial and ethnic diversity, reflected in genomic data, as well as diet and lifestyle factors that may have epigenetic impact on gene expression and post-translational modifications. A truly inclusive and informative data set must reflect global diversity, and there are multiple examples of demography-dependent differences in genomic signals. With members caring for and studying patients with cancer across five continents, WIN is actively exploring pathways to create a global cancer database, rich in clinical and molecular detail, granular enough for precise analysis, and large enough to power artificial intelligence-driven insights, provided appropriate data quality, validation, and governance frameworks are in place. This review surveys the current landscape and outlines practical paths forward to achieve this goal.

Humans↗
PubMed2026

Human Wings Apart-Like Protein as a Serum Diagnostic Biomarker in Cervical Cancer: An Integrative Bioinformatics Analysis with Serum Validation.

Cervical cancer remains a major threat to women's health worldwide, and reliable serum biomarkers for early detection and therapeutic stratification remain limited. Human wings-apart-like (hWAPL) protein has been implicated in cervical carcinogenesis, but its diagnostic and clinical value has not been fully elucidated. To address this gap, this study integrated public multi-omics datasets, including The Cancer Genome Atlas, GEPIA2, the Human Protein Atlas, and single-cell transcriptomic data, to characterize hWAPL expression, clinicopathological associations, immune infiltration, co-expression networks, post-translational modifications, and drug sensitivity predictions. These findings were evaluated in an independent single-center serum cohort comprising 89 patients with histologically confirmed cervical squamous cell carcinoma and 89 healthy female controls. Serum hWAPL and squamous cell carcinoma antigen (SCC) levels were measured, and diagnostic performance was assessed by receiver operating characteristic curve analysis. In silico, hWAPL was broadly upregulated across multiple malignancies, particularly cervical cancer, enriched in malignant epithelial cells and monocytes/macrophages, and associated with shorter progression-free interval, predicted reduced sensitivity to cisplatin, paclitaxel, and 5-fluorouracil, and predicted sensitivity to MCL-1 and Wee1 inhibitors. In the serum cohort, hWAPL levels were significantly higher in patients than controls and discriminated cervical cancer with an area under the curve of 0.961, exceeding SCC alone. Combining hWAPL with SCC further improved diagnostic performance (area under the curve, 0.974; sensitivity, 93.3%; specificity, 95.5%). These findings suggest that serum hWAPL is a potential novel diagnostic biomarker for cervical squamous cell carcinoma whose performance is enhanced by SCC, whereas the observed associations with chemoresistance and immune microenvironment remodeling are hypothesis-generating and require experimental confirmation.

Humans↗
PubMed2026

Proteomic and phosphoproteomic profiles of time-dependent dynamic changes in LPS-induced macrophage polarization.

The temporal proteomic and phosphoproteomic reprogramming during early M1 macrophage polarization (0-6 h) remains poorly understood. We performed time-resolved proteomic and phosphoproteomic analyses of LPS-stimulated RAW264.7 macrophages at seven time points within 6 h. Time-clustering of differentially expressed molecules revealed two patterns: initial change with partial recovery, and sustained dysregulation. Upregulated proteins and phosphorylation sites were enriched in the Rho GTPase signaling pathway, T-cell receptor signaling pathway, NF-κB cascade, osteoclast differentiation pathway, and antiviral immune pathway. Downregulated pathways were associated with cell cycle regulation, chromatin remodeling, RNA metabolism, and mRNA processing, indicating resource reallocation to prioritize acute inflammatory responses. Kinase-substrate network analysis confirmed the mitogen-activated protein kinase (MAPK), cyclin-dependent kinase (CDK), protein kinase B (AKT), and ribosomal S6 kinase (RSK) families as core upstream phosphorylation regulators. Integrated analysis revealed synergistic and antagonistic relationships between proteomic and phosphoproteomic changes. This study provides a temporal molecular atlas of M1 polarization, delineating inflammatory signaling dynamics and offering a basis for therapeutic target discovery in inflammatory diseases. SIGNIFICANCE: Macrophage M1 polarization is a central event in innate immune defense against pathogenic invasion, yet its dysregulation is a pivotal driver of the onset and progression of a broad spectrum of inflammation-associated disorders, spanning autoimmune diseases, infectious conditions and inflammatory bone diseases, making the dissection of its molecular regulatory mechanisms an urgent research priority in immunology and translational medicine. Dynamic molecular events within 0-6 h after LPS stimulation are critical for initiating and shaping M1 inflammatory activation, yet systematic time-resolved proteomic and phosphoproteomic profiling remains insufficient.In this study, we comprehensively characterized temporal proteome and phosphoproteome changes at seven consecutive time points during macrophage polarization, clarified two distinct dynamic molecular patterns, identified core signaling pathways and key kinase regulators involved in inflammatory reprogramming, and uncovered the leading role of post-translational phosphorylation modifications in initiating polarization. This work delineates the time-series molecular atlas of early macrophage activation, provides novel insights into the temporal regulatory mechanism of inflammatory signaling networks, and lays a solid experimental foundation for exploring new intervention targets and regulatory nodes in clinical translational research.

Lipopolysaccharides↗
PubMed2026

Loss of SUMOylation drives aberrant PRC1 clustering and 3D genome rewiring independent of H3K27me3.

Polycomb repressive complex 1 (PRC1) forms nuclear condensates that organize target chromatin domains. SUMOylation modulates PRC1 clustering, but its impact on condensate properties and 3D genome architecture remains unclear. Here, we show that depletion of small ubiquitin-like modifier (SUMO) in Drosophila wing imaginal discs transforms PRC1 condensates into large structures with reduced molecular dynamics. Biophysical modeling suggests that the changes in PRC1 self-interactions are responsible for the formation of large PRC1 condensates when SUMO is depleted. Interestingly, this biophysical reorganization occurs without global loss of the H3K27me3 mark. Instead, Hi-C reveals widespread rewiring of topologically associating domain (TAD) interactions. PRC1-bound TADs lose specific long-range contacts with each other while gaining ectopic interactions with active chromatin. These topological shifts correlate with gene misregulation independently of changes in Polycomb histone modifications. Our results establish SUMOylation as a critical regulator of PRC1 condensates, demonstrating that post-translational control of biomolecular condensation modulates 3D genome architecture and transcriptional output through mechanisms separable from histone mark deposition.

Animals↗
PubMed2026

Lysine iminylation derived from ω-3 polyunsaturated fatty acids.

Protein posttranslational modifications (PTMs) play a central role for regulating protein function and cellular processes, with many PTMs arising from reactions with electrophilic metabolites. Here we extend the known landscape of PTMs with the identification of "lysine C3-iminylation," the conjugation of protein lysine residues with propionaldehyde. To stabilize iminylation for mass spectrometric analyses and distinguish it from other isomeric PTMs, we developed a fixation and stable-isotope labeling approach based on parallel reduction of proteome with sodium borohydride and borodeuteride. Analyses of protein hydrolysates confirmed the presence of C3-iminylation in Caenorhabditis elegans and mouse. Additionally, proteomics results demonstrated specificity of this PTM in vitro and in vivo and revealed C3-iminylation in proteins related to critical metabolic pathways. Importantly, collective evidence from isotope tracing as well as genetic, dietary, and pharmacological manipulation experiments uncovered that C3-iminylation originates from cytochrome P450 (CYP)-mediated oxidation of omega-3 fatty acids. Correspondingly, C3-iminylation levels were elevated in C. elegans daf-2(e1370) mutants, an aging model, in which CYP activity is generally increased. These findings not only expand our understanding of the biochemical diversity of PTMs but also underscore the complex interplay between lipid metabolism and protein modifications, enabling further exploration of their biological and clinical implications.

Animals↗
PubMed2025

Systematic Identification of Microtubule Posttranslational Modification "Readers" by Quantitative Proteomics.

Microtubules, dynamic polymers assembled from α, β-tubulin dimers, contribute to myriad cellular processes. This is largely attributed to microtubule-associated proteins (MAPs). How MAPs selectively bind microtubules to carry out various functions is not known. The "Tubulin Code" theory proposes that posttranslational modifications (PTMs) of microtubules serve as signs that can be read by specific MAPs, thereby conferring specific functional properties to the microtubules. In support of this hypothesis, "reader" MAPs have been identified for various tubulin PTMs, but, until recently, no systematic screening had been performed to identify readers in an unbiased manner. We addressed this by developing a reader identification pipeline that uses quantitative mass spectrometry to interrogate the microtubule proteome of cells programmed to express specific PTMs. This pipeline can be used to identify readers for any tubulin PTM from various cell types as long as the writer enzymes are known. We also provide an alternative, complementary approach to obtain modified microtubules using a generic writer enzyme in vitro.

Protein Processing, Post-Translational↗
PubMed2026

DOT1L-mediated H3K79me3 of ITCH promotes AURKA ubiquitination to suppress ECM degradation in osteoarthritis.

As a prevalent chronic joint disorder, osteoarthritis (OA) is characterized by degenerative changes, primarily driven by the pathological degradation of the chondrocyte extracellular matrix (ECM). Current therapies lack efficacy in halting ECM degradation, making elucidation of its regulatory mechanisms crucial for developing novel OA treatments. This study investigated the role of the DOT1L/ITCH/AURKA axis in ECM degradation during OA development. An in vitro OA model was established by treating rat chondrocytes with 10 ng/mL IL-1β for 24 h. TNF-α and IL-6 secretion was measured by ELISA. ECM content was assessed via alcian blue staining. RT-qPCR, western blot, and immunofluorescence staining analyzed associated molecule expression. Co-IP verified ITCH-AURKA interaction and AURKA ubiquitination. ChIP detected DOT1L and H3K79me3 enrichment at the ITCH promoter. An anterior cruciate ligament transection (ACL-T)-induced OA rat model with intra-articular injection of DOT1L-overexpressing lentivirus was further established, followed by HE staining, safranin O-fast green staining, and IHC analysis. IL-1β stimulation upregulated AURKA but downregulated DOT1L and ITCH expression in rat chondrocytes. ITCH promoted AURKA ubiquitination and degradation, thereby attenuating IL-1β-stimulated degradation of ECM in rat chondrocytes. DOT1L upregulated ITCH expression by mediating H3K79me3 modification at its promoter. DOT1L-dependent H3K79me3 enrichment at the ITCH promoter downregulated AURKA, ultimately inhibiting IL-1β-induced ECM degradation in rat chondrocytes. In vivo, DOT1L overexpression alleviated ACL-T-induced cartilage degeneration and reversed the ACL-T-induced downregulation of ITCH and upregulation of AURKA and ADAMTS5. Collectively, our findings identify the DOT1L/ITCH/AURKA axis as a key epigenetic and post-translational regulatory mechanism that protects against ECM degradation in OA.

Animals↗
PubMed2026

Both L-Lactyl and D-Lactyl Enantiomers Modify Histones in Mouse Testis.

Dynamic histone posttranslational modifications are crucial to precisely orchestrate gene expression programs. The recently discovered histone lysine lactylation has already been explored in various pathological contexts, but less in normal tissues. This modification exists as two enantiomers, L- and D-lactylation; the former may more likely modify histones due to abundant L-lactate produced by glycolysis. Here, we report the identification by proteomics of L- and D-lactylation on lysines of histones H3 and H4 in mouse testis. We developed a targeted proteomic analysis of histone peptides using synthetic sequences modified by L- or D-lactyl, to acquire reliable identification and quantification data. Some histone peptides bearing either enantiomer are separated by reversed-phase chromatography. Interestingly, despite the fact that L-lactate is much more abundant than D-lactate in mouse testis, we estimated abundance ratios of L-over D-lactylation to lie between 0.4 and 1.6 on seven residues of histones H3 and H4. Next, targeted proteomic analyses were performed on histones extracted from meiotic and postmeiotic male germ cells (spermatocytes and round spermatids, respectively), which are known to use L-lactate as a main source of energy. Nonetheless, residues 18 and 23 of histone H3 (H3K18 and H3K23) were reliably quantified and shown to harbor balanced amounts of both enantiomers. The stoichiometry of lactylation is low over the whole sequence of H3 and H4, representing about 0.01 to 0.44%: this contrasts with acetylation which exists at up to 25 to 35% relative abundances on some N-terminal lysines. Yet, lactylation appears to be more abundant than acetylation on the C-terminal half of H3 and H4, where the latter modification is scarce. Collectively, our results suggest a mechanism producing a mixture of the two enantiomers of lactate, or of a more direct substrate for lactylation, that leads to the modification of histones by L- and D-lactylation.

Animals↗