Differential Proteomic Analysis Research Articles

Rice plants treated with biochar derived from Spirulina (Arthrospira platensis) optimize resource allocation towards seed production

The use of biofertilizers is becoming an economical and environmentally friendly alternative to promote sustainable agriculture. Biochar from microalgae/cyanobacteria can be applied to enhance the productivity of food crops through soil improvement, slow nutrient absorption and release, increased water uptake, and long-term mitigation of greenhouse gas sequestration. Therefore, the aim of this study was to evaluate the stimulatory effects of biochar produced from Spirulina (Arthrospira platensis) biomass on the development and seed production of rice plants. Biochar was produced by slow pyrolysis at 300°C, and characterization was performed through microscopy, chemical, and structural composition analyses. Molecular and physiological analyses were performed in rice plants submitted to different biochar concentrations (0.02, 0.1, and 0.5 mg mL-1) to assess growth and productivity parameters. Morphological and physicochemical characterization revealed a heterogeneous morphology and the presence of several minerals (Na, K, P, Mg, Ca, S, Fe, and Si) in the biochar composition. Chemical modification of compounds post-pyrolysis and a highly porous structure with micropores were observed. Rice plants submitted to 0.5 mg mL-1 of biochar presented a decrease in root length, followed by an increase in root dry weight. The same concentration influenced seed production, with an increase of 44% in the number of seeds per plant, 17% in the percentage of full seeds per plant, 12% in the weight of 1,000 full seeds, 53% in the seed weight per plant, and 12% in grain area. Differential proteomic analyses in shoots and roots of rice plants submitted to 0.5 mg mL-1 of biochar for 20 days revealed a fine-tuning of resource allocation towards seed production. These results suggest that biochar derived from Arthrospira platensis biomass can stimulate rice seed production.

Metalloproteomics Reveals Multi-Level Stress Response in Escherichia coli When Exposed to Arsenite.

The arsRBC operon encodes a three-protein arsenic resistance system. ArsR regulates the transcription of the operon, while ArsB and ArsC are involved in exporting trivalent arsenic and reducing pentavalent arsenic, respectively. Previous research into Agrobacterium tumefaciens 5A has demonstrated that ArsR has regulatory control over a wide range of metal-related proteins and metabolic pathways. We hypothesized that ArsR has broad regulatory control in other Gram-negative bacteria and set out to test this. Here, we use differential proteomics to investigate changes caused by the presence of the arsR gene in human microbiome-relevant Escherichia coli during arsenite (AsIII) exposure. We show that ArsR has broad-ranging impacts such as the expression of TCA cycle enzymes during AsIII stress. Additionally, we found that the Isc [Fe-S] cluster and molybdenum cofactor assembly proteins are upregulated regardless of the presence of ArsR under these same conditions. An important finding from this differential proteomics analysis was the identification of response mechanisms that were strain-, ArsR-, and arsenic-specific, providing new clarity to this complex regulon. Given the widespread occurrence of the arsRBC operon, these findings should have broad applicability across microbial genera, including sensitive environments such as the human gastrointestinal tract.

Actin cytoskeleton and plasma membrane aquaporins are involved in different drought response of Arabidopsis rhd2 and der1 root hair mutants

Actin cytoskeleton and reactive oxygen species are principal determinants of root hair polarity and tip growth. Loss of function in RESPIRATORY BURST OXIDASE HOMOLOG C/ROOT HAIR DEFECTIVE 2 (AtRBOHC/RHD2), an NADPH oxidase emitting superoxide to the apoplast, and in ACTIN 2, a vegetative actin isovariant, lead to similar defects in root hair formation and elongation in rhd2-1 and der1-3 mutants, respectively. Since early endosome-mediated polar localization of AtRBOHC/RHD2 depends on actin cytoskeleton, comparing the proteome-wide consequences of both mutations might be of eminent interest. Therefore, we employed a differential proteomic analysis of Arabidopsis rhd2-1 and der1-3 mutants. Both mutants exhibited substantial alterations in abundances of stress-related proteins. Notably, plasma membrane (PM)-localized PIP aquaporins showed contrasting abundance patterns in the mutants compared to wild-types. Drought-responsive proteins were mostly downregulated in rhd2-1 but upregulated in der1-3. Proteomic data suggest that opposite to der1-3, altered vesicular transport in rhd2-1 mutant likely contributes to the deregulation of PM-localized proteins, including PIPs. Moreover, lattice light sheet microscopy revealed reduced actin dynamics in rhd2-1 roots, a finding contrasting with previous reports on der1-3 mutant. Phenotypic experiments demonstrated a drought stress susceptibility in rhd2-1 and resistance in der1-3. Thus, mutations in AtRBOHC/RHD2 and ACTIN2 cause similar root hair defects, but they differently affect the actin cytoskeleton and vesicular transport. Reduced actin dynamics in rhd2-1 mutant is accompanied by alteration of vesicular transport proteins abundance, likely leading to altered protein delivery to PM, including aquaporins, thereby significantly affecting drought stress responses.

OmicScope unravels systems-level insights from quantitative proteomics data

Shotgun proteomics analysis presents multifaceted challenges, demanding diverse tool integration for insights. Addressing this complexity, OmicScope emerges as an innovative solution for quantitative proteomics data analysis. Engineered to handle various data formats, it performs data pre-processing – including joining replicates, normalization, data imputation – and conducts differential proteomics analysis for both static and longitudinal experimental designs. Empowered by Enrichr with over 224 databases, OmicScope performs Over Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). Additionally, its Nebula module facilitates meta-analysis from independent datasets, providing a systems biology approach for enriched insights. Complete with a data visualization toolkit and accessible as Python package and a web application, OmicScope democratizes proteomics analysis, offering an efficient and high-quality pipeline for researchers.

A Proteomics Approach Identifies RREB1 as a Crucial Molecular Target of Imidazo-Pyrazole Treatment in SKMEL-28 Melanoma Cells.

Cutaneous melanoma is the most dangerous and deadly form of human skin malignancy. Despite its rarity, it accounts for a staggering 80% of deaths attributed to cutaneous cancers overall. Moreover, its final stages often exhibit resistance to drug treatments, resulting in unfavorable outcomes. Hence, ensuring access to novel and improved chemotherapeutic agents is imperative for patients grappling with this severe ailment. Pyrazole and its fused systems derived thereof are heteroaromatic moieties widely employed in medicinal chemistry to develop effective drugs for various therapeutic areas, including inflammation, pain, oxidation, pathogens, depression, and fever. In a previous study, we described the biochemical properties of a newly synthesized group of imidazo-pyrazole compounds. In this paper, to improve our knowledge of the pharmacological properties of these molecules, we conduct a differential proteomic analysis on a human melanoma cell line treated with one of these imidazo-pyrazole derivatives. Our results detail the changes to the SKMEL-28 cell line proteome induced by 24, 48, and 72 h of 3e imidazo-pyrazole treatment. Notably, we highlight the down-regulation of the Ras-responsive element binding protein 1 (RREB1), a member of the zinc finger transcription factors family involved in the tumorigenesis of melanoma. RREB1 is a downstream element of the MAPK pathway, and its activation is mediated by ERK1/2 through phosphorylation.

Abstract 4449: Hepatic steatosis induced by bioactive lipids

Abstract Introduction: HCC is the most common form of liver cancer and is the sixth most common cancer globally. Despite the clinical advancement of immune checkpoint inhibitors, median survival continues to be less than twenty months and most patients develop resistance making it one of the deadliest malignancies. The rate of liver cancer continues to rise, which is coupled to the high prevalence of steatosis and steatohepatitis that accounts for about 25% in the general population. Pathologically, 80% of liver cancer occurs in patients with an underlying liver disease that displays liver steatosis. Thus, it is paramount to better characterize the transition from steatosis to HCC. Methods: Utilizing a Pten deleted mouse model (PtenloxP/loxP; Alb-Cre+) that recapitulates HCC progression, protein and lipid fractions were isolated to explore differentially expressed proteins and their correlations with bioactive lipid metabolism. Global untargeted differential proteomics was done with fractionation using a qExactive. Lipid fractions were analyzed using a Sciex 6500 for targeted lipidomic analysis. In addition, genetic knockout hepatocyte cell lines of each AKT isoform were used to explore the involvement of the PI3K/AKT signal. Further, a phosphoproteomic enrichment was performed to discover downstream signaling targets. Results: The PTEN regulated PI3K/AKT signal is induced in 54% of all liver cancers and represents the dominant signaling pathway regulating liver cancer progression. Untargeted differential proteomic analysis of Pten deleted mice livers revealed significant dysregulation in oxidative stress and eicosanoid metabolism among the top enriched disease and biological functions when the phenotype progressed from steatosis to HCC. Analysis of publicly available liver cancer patient samples from the NCI Proteomic Data Commons further shows strong correlation between PTEN protein abundance and the expression of enzymes involved in eicosanoid metabolism. Our analysis using a bio-active lipid multi reaction monitoring panel of Pten deleted mouse livers further validates significant decreases in resolving eicosanoid levels along with increases in proinflammatory eicosanoid precursors as steatosis progress to HCC. These data suggest a potential hepatic AKT-dependency in regulating the shift towards proinflammatory eicosanoids. Primary isolated hepatocytes from mouse livers lacking either AKT1 or AKT2 were analyzed to elucidate AKT’s regulatory role in hepatic eicosanoid metabolism. Proteomic and lipidomic analysis of these hepatocytes supported a unique AKT isoform specific role in the regulation of eicosanoids via potential isoform specific signaling interactions with MAPK. Conclusion: Eicosanoid metabolism dysregulation plays a key role in the progression from steatosis to HCC and appears to be regulated in an AKT isoform specific manner via interactions with MAPK signaling. Citation Format: Mario Alba, Ielyzaveta Slarve, Brandon Ebright, Yiren Zhou, Whitaker Cohn, Yunyi Jia, Elizabeth Elton, Jared Khan, Aditi Datta, Lina He, Qi Tang, Pranav Pammidimukkala, Taojian Tu, Phillip Nguyen, Jonathan Katz, Julian Whitelegge, Stan Louie, Bangyan Stiles. Hepatic steatosis induced by bioactive lipids [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4449.

Abstract 7305: Chemoprevention of colorectal cancer: Role of trace minerals in conjunction with calcium

Abstract Background: Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. CRC usually develops from adenomas (CRC precursors) after a long latency period. Prevention is crucial in reducing CRC incidence and progression to cancer. Among several prevention options, calcium has been a widely considered chemo-preventative agent. Aims: Calcium plays a vital role in the regulation of epithelial cell differentiation, which is essential for epithelial growth control. Epidemiological studies have demonstrated that adequate calcium intake is crucial for protection against colonic polyp formation and colorectal cancer. However, recent interventional trials with calcium have had only modest and mixed results, and the question is how to improve efficacy. One potential strategy is to use calcium in combination with additional minerals and trace elements. Results: Our preclinical studies employing monolayer cultures with CRC cell lines and colon organoids cultures from colon polyps have shown that a calcium-rich mineral combination derived from fossilized red algae (Aquamin) is more effective than calcium alone in inducing differentiation, suppressing growth and upregulation of calcium-sensing receptor. When colonic adenomas in culture were subjected to differential proteomic analysis, Aquamin upregulated several proteins involved in proliferation suppression, DNA mismatch repair and inducing differentiation, and apoptosis. Two long-term mouse studies have demonstrated that Aquamin is more effective in suppressing polyp & CRC incidence compared to calcium alone. Based on these findings, we conducted a 90-day FDA-approved trial (a pilot study with ten subjects per arm) comparing the two interventions in human subjects at risk for CRC. Results showed that Aquamin treatment reduced proliferation and increased cell differentiation observed by immunohistochemistry. Proteomic analysis also revealed that the minerals upregulated several proteins related to growth suppression, inducing differentiation and those contributing to cell-cell and cell-matrix adhesion functions and downregulated proteins involved in proliferation and nucleic acid metabolism. Conclusion: These results provide convincing evidence that a multi-mineral combination derived from red algae can provide benefits in preventing CRC that are not seen with calcium alone. Further studies, such as a polyp-prevention trial in human subjects, are warranted to advance these CRC prevention efforts. Citation Format: Isabelle Harber, Shannon McClintock, James Varani, Muhammad N. Aslam. Chemoprevention of colorectal cancer: Role of trace minerals in conjunction with calcium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7305.

Differential Proteomic Analysis of Low-Dose Chronic Paralytic Shellfish Poisoning.

Shellfish poisoning is a common food poisoning. To comprehensively characterize proteome changes in the whole brain due to shellfish poisoning, Tandem mass tag (TMT)-based differential proteomic analysis was performed with a low-dose chronic shellfish poisoning model in mice. A total of 6798 proteins were confidently identified, among which 123 proteins showed significant changes (fold changes of >1.2 or <0.83, p < 0.05). In positive regulation of synaptic transmission, proteins assigned to a presynaptic membrane (e.g., Grik2) and synaptic transmission (e.g., Fmr1) changed. In addition, altered proteins in nervous system development were observed, suggesting that mice suffered nerve damage due to the nervous system being activated. Ion transport in model mice was demonstrated by a decrease in key enzymes (e.g., Kcnj11) in voltage-gated ion channel activity and solute carrier family (e.g., Slc38a3). Meanwhile, alterations in transferase activity proteins were observed. In conclusion, these modifications observed in brain proteins between the model and control mice provide valuable insights into understanding the functional mechanisms underlying shellfish poisoning.

Extracellular vesicles from Staphylococcus aureus promote the pathogenicity of Pseudomonas aeruginosa

Co-infections with Staphylococcus aureus and Pseudomonas aeruginosa are common in patients with chronic wounds, but little is known about their synergistic effect mediated by extracellular vesicles (EVs). In this study, we investigated the effect of EVs derived from S. aureus (SaEVs) on the pathogenicity of P. aeruginosa. By using lipophilic dye, we could confirm the fusion between SaEV and P. aeruginosa membranes. However, SaEVs did not alter the growth and antibiotic susceptible pattern of P. aeruginosa. Differential proteomic analysis between SaEV-treated and non-treated P. aeruginosa was performed, and the results revealed that lipopolysaccharide (LPS) biosynthesis protein in P. aeruginosa significantly increased after SaEV-treatment. Regarding this result, we also found that SaEVs promoted LPS production, biofilm formation, and expression of polysaccharide polymerization-related genes in P. aeruginosa. Furthermore, invasion of epithelial cells by SaEV-pretreated P. aeruginosa was enhanced. On the other hand, uptake of P. aeruginosa by RAW 264.7 macrophages was impaired after pretreatment P. aeruginosa with SaEVs. Proteomic analysis SaEVs revealed that SaEVs contain the proteins involving in host cell colonization, inhibition of host immune response, anti-phagocytosis of the macrophages, and protein translocation and iron uptake of S. aureus. In conclusion, SaEVs serve as a mediator that promote P. aeruginosa pathogenicity by enhancing LPS biosynthesis, biofilm formation, epithelial cell invasion, and macrophage uptake impairment.

Fraisinib: a calixpyrrole derivative reducing A549 cell-derived NSCLC tumor in vivo acts as a ligand of the glycine-tRNA synthase, a new molecular target in oncology.

Background and purpose: Lung cancer is the leading cause of death in both men and women, constituting a major public health problem worldwide. Non-small-cell lung cancer accounts for 85%-90% of all lung cancers. We propose a compound that successfully fights tumor growth in vivo by targeting the enzyme GARS1. Experimental approach: We present an in-depth investigation of the mechanism through which Fraisinib [meso-(p-acetamidophenyl)-calix(4)pyrrole] affects the human lung adenocarcinoma A549 cell line. In a xenografted model of non-small-cell lung cancer, Fraisinib was found to reduce tumor mass volume without affecting the vital parameters or body weight of mice. Through a computational approach, we uncovered that glycyl-tRNA synthetase is its molecular target. Differential proteomics analysis further confirmed that pathways regulated by Fraisinib are consistent with glycyl-tRNA synthetase inhibition. Key results: Fraisinib displays a strong anti-tumoral potential coupled with limited toxicity in mice. Glycyl-tRNA synthetase has been identified and validated as a protein target of this compound. By inhibiting GARS1, Fraisinib modulates different key biological processes involved in tumoral growth, aggressiveness, and invasiveness. Conclusion and implications: The overall results indicate that Fraisinib is a powerful inhibitor of non-small-cell lung cancer growth by exerting its action on the enzyme GARS1 while displaying marginal toxicity in animal models. Together with the proven ability of this compound to cross the blood-brain barrier, we can assess that Fraisinib can kill two birds with one stone: targeting the primary tumor and its metastases "in one shot." Taken together, we suggest that inhibiting GARS1 expression and/or GARS1 enzymatic activity may be innovative molecular targets for cancer treatment.

High-Grade Gliomas from Subventricular Zone: Proteomic Drivers of Aggressiveness Using Fluorescence-Guided Multiple Sampling.

High-grade gliomas (HGGs) are among the most aggressive brain tumors and are characterized by dismally low median survival time. Of the many factors influencing the survival of patients with HGGs, proximity to the subventricular zone (SVZ) is one of the key influencers. In this context, 5-amino levulinic acid fluorescence-guided multiple sampling (FGMS) offers the prospect of understanding patient-to-patient molecular heterogeneity driving the aggressiveness of these tumors. Using high-resolution liquid chromatography-mass spectrometry (MS)/MS proteomics for HGGs from seven patients (four SVZ associated and three SVZ nonassociated), this study aimed to uncover the mechanisms driving the aggressiveness in SVZ-associated (SVZ+) HGGs. Differential proteomics analysis revealed significant dysregulation of 11 proteins, of which 9 proteins were upregulated and 2 were downregulated in SVZ+ HGGs compared to SVZ-non-associated (SVZ-) HGGs. The gene set enrichment analysis (GSEA) of the proteomics dataset revealed enrichment of MYC targets V1 and V2, G2M checkpoints, and E2F targets in SVZ+ HGGs. With GSEA, we also compared the pathways enriched in glioma stem cell subpopulations and observed a similar expression trend for most pathways in our data. In conclusion, this study reveals new and emerging insights on pathways that may potentially contribute to greater aggressiveness in SVZ+ HGGs. Future studies using FGMS in larger cohorts are recommended to help uncover the proteomics and molecular basis of aggressiveness and stemness in HGGs.

Identification of a Novel AML Patient Subset Sensitive to Venetoclax Using Matched Proteomics and Diverse Ex Vivo Models

AML is one of the most common and deadly hematopoietic malignancies. The molecular and biological heterogeneity of AML poses significant challenges to the identification of novel agents to treat it and the optimal triage of patients for the most effective therapeutic regimens. Ex vivo models for drug sensitivity using cell lines and/or primary AML samples have been a fruitful resource for the exploration and discovery of novel compounds in the treatment of AML, and investigators have coupled genomic and transcriptomic profiling with ex vivo models in the hope to further enhance the reliability and accuracy of results. However, primary AML blasts are molecularly complex and fastidious, relying on extracellular matrix (ECM) and signals for optimal survival, making their use for large, high-throughput drug screens impractical. Available AML cell lines are more robust and less dependent upon the ECM but often harbor strong driver alterations (e.g., KMT2A rearrangements, TP53 mutations) that occur in only a small subpopulation of AML cases. Thus, current AML cell lines may not accurately predict agent sensitivity for most patients. Here, we report the results of a novel approach coupling cutting-edge proteomics with ex vivo drug sensitivity models to develop and describe a more diverse and representative set of patient-derived cell models for drug discovery and therapeutic positioning. Initial studies focused on proteomic biomarker signatures and cell lines to predict drug sensitivity for Venetoclax, which has become a stable component for treatment of older and unfit patients with AML. To identify a proteomic biosignature associated with Venetoclax sensitivity, we examined the Beat AML dataset of 210 patient proteomics coupled to ex vivo sensitivity assays. Beat AML patients clustered by unbiased proteomics which resulted in a cluster with a patient population significantly enriched in sensitivity to Venetoclax. A partial least squares discriminant analysis (PLSDA) was used to discover proteins driving the differentiation of Venetoclax sensitive and insensitive clusters. The resulting significant proteins describe a mechanism of altered DNA double stranded break repair and Interleukin-8 (IL-8)-CXCR2 signaling separating patients. These mechanisms were partially comprised of high-quality targets with differential analysis results shown in Fig. 1A. The identities of the targets will be revealed at the time of presentation as they are currently moving forward in preclinical studies. To examine the potential predictive power of the Venetoclax sensitivity biosignature a set of novel ex vivo cell models were derived from a diverse independent population of patients obtained from FHCC/UW Myeloid Disease Repository. This population was not enriched for KMT2A or TP53 mutations. The proteomes of 90 diagnostic AML samples were examined and measured via a tandem mass tag protocol coupled with liquid chromatography with tandem mass spectrometry (TMT-LC-MS/MS). In addition, a proprietary set of novel ex vivo AML cell lines (n=17) representing the diverse genomic phenotype were generated from this same cohort of patients using proprietary media and pyrimidoindole derivative agonists of hematopoietic stem cell self-renewal. As with the primary samples, TMT-LC-MS/MS was utilized to quantify the proteome within the proprietary AML cell lines and 16 commercially available lines. Viability assays with Venetoclax were performed for all ex vivo cell models. Ex vivo cell models were then grouped based on the Venetoclax biosignature. The correlation between the proteomic biosignature for Venetoclax the measured sensitivity to Venetoclax was then examined for the ex vivo cell models (Fig. 1B). The results showed a strong correlation between the biosignature and actual ex vivo sensitivity to Venetoclax in proprietary cell models, but not in the 16 currently available cell models. Genetic drift of cell models from the primary AML patients was examined using differential proteomic analysis and no significant drift was found. The results indicated that the primary AML specimens harbored the Venetoclax sensitivity signature. Our findings reveal that the integration of unbiased patient proteomics with optimized ex vivo cell cultures can be used to identify sensitive patient subsets and exclude non-responders for novel therapeutics, as well as expanding patient access for currently approved therapies.

TMT quantitative proteomics reveals key proteins relevant to microRNA-1-mediated regulation in osteoarthritis

Osteoarthritis (OA) is the second-commonest arthritis, but pathogenic and regulatory mechanisms underlying OA remain incompletely understood. Here, we aimed to identify the mechanisms associated with microRNA-1 (miR-1) treatment of OA in rodent OA models using a proteomic approach. First, N = 18 Sprague Dawley (SD) rats underwent sham surgery (n = 6) or ACL transection (n = 12), followed at an interval of one week by randomization of the ACL transection group to intra-articular administration of either 50 µL placebo (control group) or miR-1 agomir, a mimic of endogenous miR-1 (experimental group). After allowing for eight weeks of remodeling, articular cartilage tissue was harvested and immunohistochemically stained for the presence of MMP-13. Second, N = 30 Col2a1-cre-ERT2 /GFPf1/fl -RFP-miR-1 transgenic mice were randomized to intra-articular administration of either placebo (control group, N = 15) or tamoxifen, an inducer of miR-1 expression (experimental group, N = 15), before undergoing surgical disruption of the medial meniscus (DMM) after an interval of five days. After allowing for eight weeks of remodeling, articular cartilage tissue was harvested and underwent differential proteomic analysis. Specifically, tandem mass tagging (TMT) quantitative proteomic analysis was employed to identify inter-group differentially-expressed proteins (DEP), and selected DEPs were validated using real-time quantitative polymerase chain reaction (RT-qPCR) technology. Immunohistochemically-detected MMP-13 expression was significantly lower in the experimental rat group, and proteomic analyses of mouse tissue homogenate demonstrated that of 3526 identified proteins, 345 were differentially expressed (relative up- and down-regulation) in the experimental group. Proteins Fn1, P4ha1, P4ha2, Acan, F2, Col3a1, Fga, Rps29, Rpl34, and Fgg were the *top ten most-connected proteins, implying that miR-1 may regulate an expression network involving these proteins. Of these ten proteins, three were selected for further validation by RT-qPCR: the transcript of Fn1, known to be associated with OA, exhibited relative upregulation in the experimental group, whereas the transcripts of P4ha1 and Acan exhibited relative downregulation. These proteins may thus represent key miR-1 targets during OA-regulatory mechanisms, and may provide additional insights regarding therapeutic mechanisms of miR-1 in context of OA.

Quantitative proteomics analysis reveals the key proteins related to semen quality in Niangya yaks

BackgroundProteins related to sperm motility and sperm morphology have an important impact on sperm function such as metabolism, motility and fertilisation etc. An understanding of the key proteins related to semen quality in Niangya yaks would help to provide support for breeding. However, the key proteins that affect semen quality in Niangya yaks remain unclear.MethodsHerein, we applied tandem mass tag (TMT) labeling and liquid chromatography-tandem mass spectrometry (LC‒MS/MS) to analyze the expression levels of sperm proteins in groups of high- and low-quality semen from Niangya yaks. And fifteen differentially expressed proteins (DEPs) were randomly selected for expression level validation by parallel reaction monitoring (PRM).ResultsOf the 2,092 quantified proteins, 280 were identified as DEPs in the high-quality group versus the low-quality group. Gene Ontology (GO) analysis revealed that in terms of biological pathways, the DEPs were mainly involved in metabolic processes, cell transformation processes, and single organism metabolic processes. In terms of cell composition, the DEPs were mainly located in the cell membrane, organelle, molecular complex. In terms of molecular functions, the most abundant functions of the DEPs were catalytic activity, binding activity, transport activity, and enzyme regulation activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the DEPs were mainly involved in the cytokine and cytokine receptor interaction, notch signaling pathway, lysine biosynthesis, renal function-related protein and proteasome pathway. From protein-protein interaction (PPI) analysis of DEPs involved in important pathways, 6 related proteins affecting the semen quality of Niangya yaks were identified. And the results of the PRM and TMT analysis were consistent.ConclusionsThe differential sperm proteomic analysis of high- and low-quality semen from Niangya yaks, revealed 6 proteins (PSMC5, PSMD8, PSMB3, HSP90AA1, UGP2 and HSPB1), were mainly concentrated in energy production and metabolism, might play important roles in semen quality, which could serve as candidates for the selection and breeding of Niangya yaks.

Identification of Potentially Novel Molecular Targets of Endometrial Cancer Using a Non-Biased Proteomic Approach.

The present study was aimed at identifying novel proteins in endometrial cancer (EC), employing proteomic analysis of tissues obtained after surgery. A differential MS-based proteomic analysis was conducted from whole tissues dissected from biopsies from post-menopausal women, histologically confirmed as endometrial cancer (two endometrioid and two serous; n = 4) or normal atrophic endometrium (n = 4), providing 888 differentially expressed proteins with 246 of these previously documented elsewhere as expressed in EC and 372 proteins not previously demonstrated to be expressed in EC but associated with other types of cancer. Additionally, 33 proteins not recorded previously in PubMed as being expressed in any forms of cancer were also identified, with only 26 of these proteins having a publication associated with their expression patterns or putative functions. The putative functions of the 26 proteins (GRN, APP, HEXA, CST3, CAD, QARS, SIAE, WARS, MYH8, CLTB, GOLIM4, SCARB2, BOD1L1, C14orf142, C9orf142, CCDC13, CNPY4, FAM169A, HN1L, PIGT, PLCL1, PMFBP1, SARS2, SCPEP1, SLC25A24 and ZC3H4) in other tissues point towards and provide a basis for further investigation of these previously unrecognised novel EC proteins. The developmental biology, disease, extracellular matrix, homeostatic, immune, metabolic (both RNA and protein), programmed cell death, signal transduction, molecular transport, transcriptional networks and as yet uncharacterised pathways indicate that these proteins are potentially involved in endometrial carcinogenesis and thus may be important in EC diagnosis, prognostication and treatment and thus are worthy of further investigation.

ITRAQ-based differential proteomic analysis of high- and low-virulence strains of Spiroplasma eriocheiris

Spiroplasma eriocheiris is one of the major pathogenic bacteria in crustaceans, featuring high infectivity, rapid transmission, and an absence of effective control strategies, resulting in significant economic losses to the aquaculture industry. Research into virulence-related factors provides an important perspective to clarify how Spiroplasma eriocheiris is pathogenic to shrimps and crabs. Therefore, in this study, isobaric tags for relative and absolute quantitation (iTRAQ) technology was utilized to undertake a differential proteomic analysis of high- and low-virulence Spiroplasma eriocheiris strains at different growth phases. A total of 868 differentially expressed proteins (DEPs) were obtained, of which 31 novel proteins were identified by proteogenomic analysis. There were 62, 61, 175, and 235 DEPs between the log phase (YD) and non-log phase (YFD) of the high-virulence strain, between the log phase (CD) and non-log phase (CFD) of the low-virulence strain, between YD and CD, and between CFD and YFD, respectively. All the DEPs were compared with virulence protein databases (MvirDB and VFDB), and 68 virulence proteins of Spiroplasma eriocheiris were identified, of which 12 were involved in a total of 21 metabolic pathways, including motility, chemotaxis, growth, metabolism and virulence of the bacteria. The results of this study form the basis for further research into the molecular mechanism of virulence and physiological differences between high- and low-virulence strains of Spiroplasma eriocheiris, and provide a scientific basis for a detailed understanding of its pathogenesis.

How iron-bearing minerals affect the biological reduction of Sb(V): A newly discovered function of nitrate reductase

As a toxic element of global concern, the elevated concentration of antimony (Sb) in the environment has attracted increasing attention. Microorganisms have been reported as important driving forces for Sb transformation. Iron (Fe) is the most important metal associated element of Sb, however, how Fe-bearing minerals affect the biological transformation of Sb is still unclear. In this study, the effects of Fe-bearing minerals on biological Sb(V) reduction were investigated by employing a marine Shewanella sp. CNZ-1 (CNZ-1). Our results showed that the presence of hematite, magnetite and ferrihydrite (1 g/L) resulted in a decrease in Sb(III) concentration of ~19–31 % compared to the Fe(III)-minerals free system. The calculated Sb(V) reduction rates are 0.0256 (R2 0.71), 0.0389 (R2 0.87), 0.0299 (R2 0.96) and 0.0428 (R2 0.95) h−1 in the hematite-, magnetite-, ferrihydrite-supplemented and Fe(III)-minerals free systems, respectively. The cube-shaped Sb2O3 was characterized as a reductive product by using XRD, XPS, FTIR, TG and SEM approaches. Differential proteomic analysis showed that flagellar protein, cytochrome c, electron transfer flavoprotein, nitrate reductase and polysulfide reductase (up-regulation >1.5-fold, p value <0.05) were supposed to be included in the electron transport pathway of Sb(V) reduction by strain CNZ-1, and the key role of nitrate reductases was further highlighted during this reaction process based on the RT–qPCR and confirmatory experiments. Overall, these findings are beneficial to understand the environmental fate of Sb in the presence of Fe-bearing minerals and provide guidance in developing the bacteria/enzyme-mediated control strategy for Sb pollution.

Proteomic Study of Middle Ear Effusion and Its Clinical Application for Otitis Media with Effusion.

Proteins found in middle ear effusion play crucial roles in the physiological and pathological processes of otitis media with effusion (OME), influencing the etiology and clinical characteristics of this disease. The qualitative and quantitative composition of these proteins depending on the underlying pathogenesis of middle ear effusion. Understanding their physiological and pathological functions is of great importance. We collected samples from 19 volunteers diagnosed with OME. After offline separation using high-pH reversed-phase liquid chromatography (RPLC), the pooled sample was subjected to LC-MS/MS analysis to obtain a comprehensive profile of the OME proteome. Functional analysis was performed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Ingenuity Pathway Analysis (IPA) annotations. Data-independent acquisition (DIA) technology was utilized to analyze samples and fix whether the OME proteome could replicate the pathophysiological features associated with this disease. We conducted a differential proteomic analysis between patients with simple OME and patients who had received radiotherapy. The radiotherapy-reduced group was further divided into two subgroups: nasopharyngeal carcinoma (NPC) and other types of carcinoma. Parallel reaction monitoring (PRM) technology was used for validation of 36 differentially expressed proteins (DEPs). A number of 732 proteins were identified in the OME proteome database. Among them, 527 proteins were quantified using peak intensity-based semi-quantification (iBAQ), covering a wide dynamic range of approximately 8 orders of magnitude. Based on the functional analysis, we proposed a hypothetical mechanism of OME. This study managed to put up an inclusive analysis of the OME proteome, establishing the first human OME proteome database. We focused on differential proteomic analysis among different groups to gain a more comprehensive concept of the OME proteome and search for meaningful biomarkers.

Sanguinarine induces apoptosis in osteosarcoma by attenuating the binding of STAT3 to the single-stranded DNA-binding protein 1 (SSBP1) promoter region.

Osteosarcoma, a primary malignant bone tumour prevalent among adolescents and young adults, remains a considerable challenge despite protracted progress made in enhancing patient survival rates over the last 40 years. Consequently, the development of novel therapeutic approaches for osteosarcoma is imperative. Sanguinarine (SNG), a compound with demonstrated potent anticancer properties against various malignancies, presents a promising avenue for exploration. Nevertheless, the intricate molecular mechanisms underpinning SNG's actions in osteosarcoma remain elusive, necessitating further elucidation. Single-stranded DNA-binding protein 1 (SSBP1) was screened out by differential proteomic analysis. Apoptosis, cell cycle, reactive oxygen species (ROS) and mitochondrial changes were assessed via flow cytometry. Western blotting and quantitative real-time reverse transcription PCR (qRT-PCR) were used to determine protein and gene levels. The antitumour mechanism of SNG was explored at a molecular level using chromatin immunoprecipitation (ChIP) and dual luciferase reporter plasmids. Our investigation revealed that SNG exerted an up-regulated effect on SSBP1, disrupting mitochondrial function and inducing apoptosis. In-depth analysis uncovered a mechanism whereby SNG hindered the JAK/signal transducer and activator of transcription 3 (STAT3) signalling pathway, relieved the inhibitory effect of STAT3 on SSBP1 transcription, and inhibited the downstream PI3K/Akt/mTOR signalling axis, ultimately activating apoptosis. The study delved further into elucidating the anticancer mechanism of SNG in osteosarcoma. Notably, we unravelled the previously undisclosed apoptotic potential of SSBP1 in osteosarcoma cells. This finding holds substantial promise in advancing the development of novel anticancer drugs and identification of therapeutic targets.

Proteomic and Transcriptomic Analyses to Decipher the Chitinolytic Response of Jeongeupia spp.

In nature, chitin, the most abundant marine biopolymer, does not accumulate due to the action of chitinolytic organisms, whose saccharification systems provide instructional blueprints for effective chitin conversion. Therefore, discovery and deconstruction of chitinolytic machineries and associated enzyme systems are essential for the advancement of biotechnological chitin valorization. Through combined investigation of the chitin-induced secretome with differential proteomic and transcriptomic analyses, a holistic system biology approach has been applied to unravel the chitin response mechanisms in the Gram-negative Jeongeupia wiesaeckerbachi. Hereby, the majority of the genome-encoded chitinolytic machinery, consisting of various glycoside hydrolases and a lytic polysaccharide monooxygenase, could be detected extracellularly. Intracellular proteomics revealed a distinct translation pattern with significant upregulation of glucosamine transport, metabolism, and chemotaxis-associated proteins. While the differential transcriptomic results suggested the overall recruitment of more genes during chitin metabolism compared to that of glucose, the detected protein-mRNA correlation was low. As one of the first studies of its kind, the involvement of over 350 unique enzymes and 570 unique genes in the catabolic chitin response of a Gram-negative bacterium could be identified through a three-way systems biology approach. Based on the cumulative data, a holistic model for the chitinolytic machinery of Jeongeupia spp. is proposed.