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Drebrin is a novel connexin-43 binding partner that links gap junctions to the submembrane cytoskeleton.

BACKGROUND: Connexins form gap junctions that mediate the transfer of ions, metabolites, and second messengers between contacting cells. Many aspects of connexin function, for example cellular transport, plaque assembly and stability, and channel conductivity, are finely tuned and likely involve proteins that bind to connexins' cytoplasmic domains. However, little is known about such regulatory proteins. To identify novel proteins that interact with the COOH-terminal domain of Connexin-43 (Cx43), the most widely expressed connexin family member, we applied a proteomics approach to screen fractions of mouse tissue homogenates for binding partners. RESULTS: Drebrin was recovered as a binding partner of the Cx43 COOH-terminal domain from mouse brain homogenate. Drebrin had previously been described as an actin binding protein that diminishes in brains during Alzheimer's disease. The novel Drebrin-Cx43 interaction identified by proteomics was confirmed by colocalization of endogenous proteins in astrocytes and Vero cells, coimmunoprecipitation, electron microscopy, electrophysiology, coexpression of both proteins with fluorescent tags, and live-cell FRET analysis. Depletion of Drebrin in cells with siRNA results in impaired cell-cell coupling, internalization of gap junctions, and targeting of Cx43 to a degradative pathway. CONCLUSIONS: We conclude that Drebrin is required for maintaining Cx43-containing gap junctions in their functional state at the plasma membrane. It is thus possible that Drebrin may interact with gap junctions in zones of cell-cell contacts in a regulated fashion in response to extracellular signals. The rearrangement or disruption of interactions between connexins and the Drebrin-containing submembrane cytoskeleton directs connexins to degradative cellular pathways.

Animals↗

Quantitative RNA modification mapping by mass spectrometry with isobaric tags and nucleobase fragment analysis.

RNA modifications regulate RNA stability, translation, stress responses, and disease processes, yet their function remains poorly understood due to technical limitations in sequence analysis. Here, we present an RNA-specific isobaric tandem mass tagging (RMT) platform for omic-scale quantitative mapping of RNA modifications. The platform combines RNA-specific tags adapted from proteomics with an end-to-end workflow spanning sample preparation through data processing. Validation using synthetic oligonucleotides and total tRNA from Pseudomonas aeruginosa yielded reproducible quantification, with coefficients of variation below 5%. Together with nucleobase fragment analysis, we identified and quantified 24 RNA modifications in PA14 tRNAs, including previously undescribed m2A38 and Gm/Cm39, and assigned their corresponding writer enzymes. Further analyses of tRNAs from writer knockout strains and stressed cells revealed dynamic modification patterns, modification interdependencies, and their potential roles in stress adaptation. This method provides a robust, cost-effective platform for quantitative RNA modification mapping, enabling deeper biological insights.

RNA, Transfer↗

Automation of biochip array technology for quality results.

BACKGROUND: Proteomics' requirement for simultaneous measurement of multiple markers is now possible with biochip array technology. Many laboratories utilise in-house, manual procedures for biochip fabrication and sample testing. Reproducibility and standardisation of biochip processes is vital to ensure quality of results and offer the best tool for elucidation of complex relationships between multiple proteins in diseased conditions. METHODS: Various novel control checks have been implemented in biochip fabrication, reagent manufacture, automation and imaging processes for the Evidence analyser. Reference spots enable location of discrete test regions on the surface of the biochip and simultaneous quantification of multiple markers. Performance and standardisation methods are presented. RESULTS: Formulation of dispense solution for discrete test regions had a direct effect on their shape, stability and integrity on the biochip surface. Assays for fertility hormones and drugs of abuse demonstrated excellent precision, stability and comparison with other commercial methods. CONCLUSION: Control processes employed in the manufacture and analysis of Evidence components ensure reproducibility of assays for a range of routine and novel markers.

Animals↗

Spelling protein structure.

Recent sequence analysis of complete prokaryotic proteomes suggests that in early evolutionary stages proteins were rather small, of the size 25-35 amino acids. Corroborating evidence comes from protein crystal data, which indicate this size for closed loops--universal structural units of globular proteins. In the latest development we were able to derive and structurally characterize several sequence/structure prototypes apparently representing early protein units. Structurally the prototypes appear as closed loops stabilized by end-to-end van der Waals interactions. While nearly standard in size the loops are highly diverse in terms of their secondary structure. A presentation of the protein as an assembly of descendants of the prototypes, the first of its kind, is described in detail here. The sequence and structure of the ATP-binding subunit of histidine permease of S. typhimurium is shown to contain several modified copies of different prototype elements, closed loops, and, thus, can be spelled as: x-PI-x-PIV-PVI-PII-PVII-x, where PI-PVII are the prototype elements. This study sets up the basic principles for the sequence/structure prototype spelling of globular proteins.

ATP-Binding Cassette Transporters↗

Elucidation of information encoded in tryptophan 140 of staphylococcal nuclease.

We investigated the role of W140 in the folding of Staphylococcal nuclease. For this purpose, we constructed the 19 possible substitution mutations at residue 140. Only three mutants, W140F, W140H, and W140Y, adopted native-like structures under physiological conditions and showed native-like enzymatic activities. In contrast, the other 16 mutants took on compact unfolded structures under physiological conditions and the enzymatic activities of these mutants were decreased to approximately 70% of wild-type levels. These 16 mutants maintained substrate-induced foldability. These results strongly indicate that the side-chain information encoded by residue 140 is essential to maintain a stable native structure, and that this residue must be an aromatic side chain. The order of thermal stability was wild type > W140H > W140F = W140Y. Therefore, the five-membered nitrogen-containing ring of the indole is thought to bear the essential information. In the crystal structure of staphylococcal nuclease, the five-membered ring is at the local center of the C-terminal cluster through hydrophobic interactions. This cluster plays a key role in the interaction connecting the C-terminal region and the N-terminal beta-core. Mutants other than W140H, W140F, and W140Y lost the ability to form the local core, which caused the loss of the long-range interactions between the C-terminal and N-terminal regions. Inhibitor or substrate binding to these mutants compensates for the lack of long-range interactions generated by W140.

Circular Dichroism↗

Natural Product Target Identification of Wheldone, a Fungal Metabolite, as a KIF11 Inhibitor in Ovarian Cancer Using the DiffPOP (Differential Protein Precipitation) Method.

Wheldone, a fungal metabolite, was identified as a cytotoxic compound in high-grade serous ovarian cancer (HGSOC). Wheldone induced caspase 3/7-dependent apoptosis and reduced migration, invasion, and spheroid growth. Wheldone stimulated apoptosis in chemoresistant HGSOC models. Wheldone treatment caused significant downregulation of HNRNPD, a DNA repair protein, and increased DNA damage that could be blocked by N-acetyl-L-cysteine. In vivo, wheldone displayed minimal toxicity but was rapidly cleared from circulation, despite in vitro metabolic stability. Wheldone treatment in vivo did not demonstrate significant reduction in tumor burden. Therefore, in order to overcome these liabilities, it was necessary to find the protein target of wheldone so that modifications can be made to improve the drug-like characteristics of the compound. Using the drug-target interaction proteomics method, differential precipitation of proteins, wheldone was found to act as an inhibitor of Kinesin superfamily protein 11 (KIF11), a motor protein essential for mitotic spindle formation. An ATPase biochemical cell-free assay confirmed direct binding and functional inhibition of KIF11. Wheldone resulted in G2/M arrest and downstream regulation of mitotic proteins such as TPX2, AURKA, and phospho-histone H3. Proteomics after treatment of wheldone in four different HGSOC cancer cell lines all supported changes consistent with mitotic spindle assembly disruption. Further, KIF11 was one of only 13 proteins upregulated in all 4 cell lines treated. Overall, wheldone was found to be a fungal metabolite that inhibits KIF11 in chemoresistant ovarian cancer, with future studies needed to improve its pharmacokinetics and delivery.

Female↗

Structural, functional and immunologic characterization of folded subdomains in the Ro52 protein targeted in Sjögren's syndrome.

Ro52, one of the major autoantigens in the rheumatic disease Sjögren's syndrome (SS), belongs to the tripartite motif (TRIM) or RING-B-box-coiled-coil (RBCC) protein family, thus comprising an N-terminal RING, followed by a B-box and a coiled-coil region. Several different proteomic functions have been suggested for Ro52, including DNA binding, protein interactions and Zn(2+)-binding. To analyze the presence and/or absence of these functions and, in particular, map those to different subregions, the modular composition of the Ro52 protein was experimentally characterized. Two structured parts of Ro52 were identified, corresponding to the RING-B-box and the coiled-coil regions, respectively. Secondary structure analysis by circular dichroism (CD) spectroscopy indicated that the two subregions are independently structured. The entire RING-B-box region displayed Zn(2+)-dependent stabilization against proteolysis in the presence of Zn2+, indicating functional Zn(2+)-binding sites in both the RING and the B-box. However, no stabilization with DNA was detected, irrespective of Zn(2+), thus suggesting that the RING-B-box region does not bind DNA. Oligomerization of the coiled-coil was investigated by analytical ultracentrifugation and in a mammalian two-hybrid system. Both methods show weak homodimer affinity, in parity with other coiled-coil domains involved in regulatory interactions. The C-terminal B30.2 region was rapidly degraded both during cellular expression and refolding, indicating a less stable structure. Immunologic analysis of the stable protein regions with sera from patients with Sjögren's syndrome shows that immunodominant epitopes to a large extent are localized in the structurally stable parts of Ro52. The results form a basis for further Ro52 functional studies on the proteome level.

Autoantigens↗

Nonaqueous capillary electrophoresis in coated capillaries: an interesting alternative for proteomic applications.

This work brings together some contributions for the use of nonaqueous media for proteomic analysis, for both capillary electrophoresis (CE) separation and the preparation of tryptic digests. First, a ternary nonaqueous buffer consisting of 60/30/10 v/v methanol/acetonitrile/acetic acid with 12.5 mmol/L ammonium acetate was optimized for CE separation of the tryptic digest of lysozyme. Lysozyme was chosen as a model system for the protein digestion, which has also been prepared in an organic-rich medium with methanol/50 mmol/L NH(4)HCO(3), pH 8.0 (60/40 v/v). The separation results were compared to in silico (PeptideCutter program) digestion conditions, and high-efficiency peak separation (18 peaks) was obtained in 20 min with an electric field of 350 V/cm. In addition, we have evaluated the stability of a coated capillary with poly-N,N-dimethylacrylamide (60/30 cm total/effective length and 75 microm ID) for over 100 runs of tryptic digest with the nonaqueous background electrolyte solvent system. The migration times for ten selected peptide peaks presented 3-7% relative standard deviation.

Buffers↗

Chemoselective Tagging of Protein Methacrylation.

Protein lysine methacrylation (Kmea) is a recently identified post-translational modification whose biofunction remains poorly understood. Until now, there has been no chemical labeling method for Kmea modification, which has severely hindered the discovery and functional studies of methacrylated proteins. Here, we developed a photocatalytic thia-Michael reaction system for the chemoselective labeling of protein methacrylation. By exploiting the dual effect of steric hindrance and the stability of the generated C-center radical, the reaction interference of the structural isomer crotonylation can be efficiently avoided. Based on this reaction, a multifunctional water-soluble benzenethiol-azide probe azDSH was designed and synthesized, and a workflow for the specific labeling, enrichment, and identification of Kmea proteins was developed. Proteomic identification of histone and nuclear protein extracts and whole-cell lysate revealed a number of novel Kmea proteins and modification sites besides histones, such as HMGB1, TdIF2, UHRF1, HNRPD, BRWD1, TAF1, TACC1, and SETD3, providing new targets for the study of epigenetic regulation. This study provides an effective method for the analysis of protein methacrylation modifications in biological systems.

Humans↗

Heterozygosity: an expanding role in proteomics.

The human genome sequence provides the framework for understanding the biology of human cell function. The next step is to intensify the investigation of protein function in the context of complex biological systems. Cellular functions are carried out by molecular complexes acting in concert rather than by single molecules or single reactions. Parallels have been drawn between scale-free nonbiologic networks and functionally interconnected metabolic pathways in the cell. Modeling of metabolic networks, in which functional modules or subnetworks represent individual related pathways, will lead to the prediction of protein function in the larger context of a complex system. Depending on the robustness of these metabolic networks, single-gene defects alone or in combination with other gene defects and the environment have the potential for invoking a spectrum of alterations in the integrity of a given network. The overall purpose of this review is to highlight the importance of simple heterozygosity for one pathogenic mutation or combinatorial heterozygosity for two or more mutations within or between individual genes in altering the stability of metabolic networks. Several forms of heterozygosity are considered, e.g., intra- and interallelic heterozygosity and double heterozygosity. The concepts of synergistic heterozygosity, loss of heterozygosity, and mitochondrial DNA heteroplasmy also are discussed in relation to the quantitative effects of coexisting mutations on the phenotypic expression of disease.

Animals↗

Correlation between mRNA and protein abundance in Desulfovibrio vulgaris: a multiple regression to identify sources of variations.

Parallel profiling of mRNA and protein on a global scale and integrative analysis of these two data types could provide additional insights into the metabolic mechanisms underlying complex biological systems. However, because mRNA and protein abundance are affected by many cellular and physical processes, there have been conflicting results on their correlation. Using whole-genome microarray and LC-MS/MS proteomic data collected from Desulfovibrio vulgaris grown under three different conditions, we systematically investigate the relationship between mRNA and protein abundance by a multiple regression approach, in which some of the key covariates that may affect mRNA-protein relationship were included. The results showed that mRNA abundance alone can explain only 20-28% of the total variation of protein abundance, suggesting mRNA-protein correlation can not be determined by mRNA abundance alone. Among various covariates, analytic variation of protein abundance is the major source for the variation of mRNA-protein correlation, which contributes to 34-44% of the total variation of mRNA-protein correlation. The cellular functional category of genes/proteins contributes 10-15% of the total variation of mRNA-protein correlation, with a more pronounced correlation of the two properties was observed for "central intermediary metabolism" and "energy metabolism" categories. In addition, protein stability also contributes 5% of the total variation of mRNA-protein correlation. The study presents the first quantitative analysis of the contributions of various biochemical and physical sources to the correlation of mRNA and protein abundance in D. vulgaris.

Bacterial Proteins↗

Discovery and validation of a multi-protein panel for predicting non-fatal major adverse cardiovascular events in diabetic kidney disease.

OBJECTIVE: To identify plasma protein biomarkers associated with incident non-fatal major adverse cardiovascular events (MACE) in diabetic kidney disease (DKD) patients. RESEARCH DESIGN AND METHODS: We analyzed 317 DKD patients from the UK Biobank. Plasma proteomics and clinical data (demographics, metabolism, renal function) were integrated. In an exploratory discovery phase, three sequential Cox regression models (crude, socio-demographic-adjusted, socio-demographic-metabolic adjusted) screened non-fatal MACE-associated proteins. To prevent information leakage, the cohort was then randomly split into training (70%) and testing (30%) sets; machine-learning feature selection, hyperparameter optimization, and final model development were performed exclusively within the training set. The associated proteins were input into the four-step machine-learning pipeline (LASSO-Cox, random survival forest, Boruta, XGBoost-Cox). Predictive performance was validated using Kaplan-Meier survival analyses, longitudinal trajectory modeling, and ROC benchmarking. An interactive web application was deployed for clinical implementation. RESULTS: Of 1,463 plasma proteins, 561 were associated with non-fatal MACE across Cox models, with 14 overlapping proteins. Nine core proteins (ANG, IL1R1, CXCL14, ESAM, PTGDS, HAVCR1, FGFR2, IGSF8, CCL3) were validated: ANG showed the strongest non-fatal MACE association (HR&#xa0;=&#xa0;3.88, 95%CI 2.33-6.48, p<0.001), and all high-expression groups had elevated non-fatal MACE risk. GO/KEGG enrichment highlighted inflammatory-immune pathways like positive regulation of MAPK cascade, Cytokine-cytokine receptor interaction and PI3K-Akt signaling pathway as key mechanisms. The model integrating proteins, demographic factors, and clinical variables achieved the highest predictive performance across non-fatal MACE (AUC&#xa0;=&#xa0;0.768), myocardial infarction (MI) (0.808), and stroke (0.816) outcomes, with superior stability in cross-validation. CoxBoost + Elastic Net framework was selected as the optimal framework via benchmarking of 101 algorithms. The model demonstrated favorable calibration in high-risk patients and yielded positive net clinical benefit across decision thresholds of 5% to 45%. The web tool (https://jiangli2941.github.io/MACE-prediction-v2/) enables input of 28 variables, outputs non-fatal MACE risk status, risk probability, and highlights abnormal indicators. CONCLUSION: Plasma proteomics combined with machine learning identifies robust non-fatal MACE predictors in DKD.

Humans↗

Mitochondrial DNA, aconitase 'wraps' it up.

Mitochondria are the sites of many essential biochemical reactions, an important subset of which require proteins encoded in the mitochondrial DNA (mtDNA). How mtDNA is regulated in response to changing cellular demands is largely unknown. A recent study documents that the mitochondrial TCA-cycle enzyme aconitase is associated with protein-mtDNA complexes called nucleoids. In this novel context, aconitase functions to stabilize mtDNA, perhaps by reversibly remodeling nucleoids to directly influence mitochondrial gene expression in response to changing cellular metabolism.

Aconitate Hydratase↗

[Proteomic analysis of two isogenic Vibrio cholerae of the classical biovar with the alternative expression of virulence genes].

At carrying out the proteomic analysis of two isogenic Vibrio cholerae Dakka35 of the classical biovar itwas revealed, that toxigenic (1 type) and nontoxigenic (2 type) clones differ from each other not only the expression ofgenes of exopolysaccharide, motility, and soluble haemagglutinin/protease, but also change of activity about other 60 genes. Among 11 identified proteins 5 are the enzymes participating in a metabolism cells. Besides it is revealed, that clones 2 types of Dakka35 strain synthesize in a more level of OmpU and TolC proteins, which provide their more significant stability to action of bile in comparison with clones of 1 type. It was shown, that bile serves as a signal from an environment for switching of gene expression of the genes, coding production of factors as virulence, and carrying out protective function of bacterial cell.

Adhesins, Bacterial↗

Proteome analysis of human mesothelial cells during epithelial to mesenchymal transitions induced by shed menstrual effluent.

Peritoneal endometriosis is the result of ectopic implantation and growth of endometrium tissue that has been regurgitated into the abdominal cavity during menstruation. We have previously shown that menstrual effluent induces epithelial to mesenchymal transitions (EMT) in mesothelial cells, which results in cell retraction and exposure of submesothelial extracellular matrix. Since endometrial tissue preferentially adheres to the extracellular matrix, adhesion of endometrial tissue to the peritoneum is facilitated. The EMT were shown to be associated with differential expression and phosphorylation of mesothelial proteins. Using radiolabeling and proteomics we detected changes in protein expression and phosphorylation that occur in mesothelial cells during the EMT process. The identity of 73 proteins, which were obtained from 324 analyzed spots, was confirmed. The expression of 35 proteins involved in organization of the cytoskeleton, signal transduction, regulation of the redox state, and production of ATP, was altered during the EMT process. Four of the identified proteins were differentially phosphorylated: annexin-1, an actin-binding protein and a substrate for receptor tyrosine kinases; tropomyosin-alpha, a regulator of actin filament stability and cell shape; elongation factor 1 delta; ATP synthase beta-chain. In conclusion, factors from menstrual effluent induce specific changes in the expression and phosphorylation status of structural, regulatory and metabolic proteins relevant to the complex process of EMT in mesothelial cells.

Cells, Cultured↗

Affinity-tags are removed from Cladosporium fulvum effector proteins expressed in the tomato leaf apoplast.

Cladosporium fulvum (syn. Passalora fulva) is a biotrophic fungal pathogen that causes leaf mould on tomato (Solanum esculentum). The fungus grows exclusively in the tomato leaf apoplast where it secretes several small (<15 kDa) cysteine-rich proteins that are thought to play a role in disease establishment. To investigate the role of these proteins, and to identify their in planta targets, a targeted proteomics approach was undertaken. C. fulvum proteins were expressed as recombinant fusion proteins carrying various affinity-tags at either their C- or N-terminus. Although these fusion proteins were correctly expressed and secreted into the leaf apoplast, detection of affinity-tagged C. fulvum proteins failed, and affinity purification did not result in the recovery of these proteins. However, when using C. fulvum effector protein-specific antibodies, specific signals were obtained for the different proteins. It is concluded that the stability of the in planta expressed recombinant fusion proteins is insufficient, which results in removal of the affinity-tag from the fusion proteins, irrespective of the C- or N-terminal fusion or the nature of the affinity-tag. Similar phenomena were observed when the fusion proteins were expressed in other Solanaceous species, but not when expressed in Arabidopsis thaliana.

Affinity Labels↗

CHCHD10 Mitigates Alzheimer's Disease-Related Phenotypes in Association With Epigenetic Remodeling in Directly Reprogrammed Neurons.

Mitochondrial dysfunction and chromatin dysregulation are interconnected contributors to neuronal vulnerability in Alzheimer's disease (AD), yet the molecular mechanisms linking these processes remain poorly understood. CHCHD10, a mitochondrial intermembrane space protein, has been implicated in neurodegenerative disorders, but its role in AD has not been defined. Here, we identify CHCHD10 as a previously unrecognized modulator of neuronal epigenomic stability in AD. Using direct fibroblast-to-neuron reprogramming, which preserves patient-specific epigenetic signatures, we show that AD neurons recapitulate genome-wide hypomethylation patterns observed in postmortem AD cortex. CHCHD10 expression is significantly reduced in AD neurons and across multiple human brain datasets, including single-cell and bulk RNA sequencing, proteomics, and human cortical tissue analyses. Restoration of CHCHD10 in AD neurons reduces amyloid-&#x3b2; and insoluble tau accumulation while reversing AD-associated differentially methylated regions across CpG islands, promoters, and regulatory elements. CHCHD10-responsive methylation changes overlap with those observed in human AD brain regions and colocalize with significant AD loci and cortex-specific eQTL loci, including MAPT and ABCA7. Finally, we identify KATNAL2 as a CHCHD10-responsive effector whose loss enhances tau phosphorylation and seeding, whereas its restoration mitigates tau pathology. Together, these findings support a CHCHD10-associated neuroprotective pathway linking mitochondrial dysfunction, epigenomic instability, and tau pathology in AD.

Humans↗

Expression of fragile X mental retardation-1 gene with nuclear export signal mutation changes the expression profiling of mouse cerebella immortal neuronal cell.

Fragile X syndrome (FXS) is the most frequent cause of inherited mental retardation and is largely caused by a loss of expression of fragile X mental retardation protein (FMRP), encoded by fragile X retardation gene-1 (Fmr1). FMRP is a multifunction protein, with intrinsic RNA-binding properties, which is a component of ribonucleoprotein complex associated with polyribosomes. The properties of FMRP indicate that it might participate in post-transcriptional processes in the regulation of some mRNA species, including localization, stability and translational control. However, the function of FMRP related to the pathologenesis in FXS is largely unknown. Many efforts were undertaken to identify the putative specific RNA targets as well as the FMRP-related proteins and to identify the effect of FMRP absence on the corresponding proteins. Here we present our efforts using proteomics approach to explore the differential expression profiling of mouse cerebella immortal cell, in which we changed the expression of FMRP by expressing Fmr1 gene with nuclear export signal (NES) mutation. This mutation makes FMRP unable to shuttle from nucleus to cytoplasm and leads to nuclear instead of cytoplasmic location as usual, which was hypothesized to affect the pathways of groups of RNAs or proteins related with FMRP. In present study, 56 proteins were found to be differentially expressed in transfected R2 neuronal cells, including 16 decreased expressions and 40 increased expressions. The differentially expressed proteins play roles in diverse physiological processes, such as neuronal plasticity, spermatogenesis and craniofacial and limb development etc. In addition, the expressions of three mRNA identified as FMRP targets in fragile X cell were tested in present model cells. All these results provide new insights to the role of FMRP in the disease.

Active Transport, Cell Nucleus↗