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The protein cargo of extracellular vesicles. Recent advances in lung cancer research 细胞外囊泡的蛋白质货物。肺癌研究的最新进展。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-07 DOI: 10.1016/j.jprot.2025.105557
Orlando Morales-Tarré , Xitlally Popa Navarro , Sergio Encarnación-Guevara
Extracellular vesicles (EVs) are membranous microparticles produced by all living cells, from bacteria to humans. In recent years, interest in these vesicles has increased because they are linked to various biological functions, such as coagulation, the removal of undegraded proteins, intercellular signaling, stimulation and inactivation of T lymphocytes, and the transfer of antigens to APC. Since these vesicles carry specific characteristics of the parental cells, their characterization is a valuable opportunity to understand, through a liquid biopsy, the mechanisms involved in different pathologies, such as cancer. Lung cancer, is known to increase the production of extracellular vesicles, making their study particularly relevant in this group of diseases where biopsy collection is extremely difficult. Most research has centered on characterizing the nucleic acid content of vesicles due to their ability to alter gene expression in recipient cells. In contrast, the protein content of extracellular vesicles has been studied less extensively. Here, we describe the mechanisms of production for the main classes of extracellular vesicles and delve into their protein content. We also analyze recent progress in the proteomic characterization of extracellular vesicles in lung cancer research and explore their potential in diagnosis and the mechanisms underlying the disease's development.

Significance

This article highlights the advancements that the field of proteomics has brought to the characterization of extracellular vesicles derived from lung cancer. Given that lung cancer is the leading cause of cancer-related deaths, it is crucial to molecularly characterize this disease within the current landscape of biomedical research. We aim to draw the reader´s attention to the benefits of analyzing extracellular vesicles, as their protein content holds promise as an alternative liquid biopsy to achieve these objectives. By discussing existing findings and the challenges that remain, we hope to motivate researchers to utilize proteomics tools to develop new methodologies that can be consistently applied in clinical research and personalized patient care.
细胞外囊泡(EVs)是所有活细胞(从细菌到人类)都会产生的膜状微粒。近年来,人们对这些囊泡的兴趣越来越大,因为它们与各种生物功能有关,如凝血、未降解蛋白质的去除、细胞间信号传导、T淋巴细胞的刺激和失活以及抗原向APC的转移。由于这些囊泡具有亲本细胞的特定特征,因此它们的表征是通过液体活检了解不同病理(如癌症)的机制的宝贵机会。众所周知,肺癌会增加细胞外囊泡的产生,这使得他们的研究与这组活检收集极其困难的疾病特别相关。大多数研究都集中在表征囊泡的核酸含量,因为它们能够改变受体细胞中的基因表达。相比之下,细胞外囊泡的蛋白质含量研究较少。在这里,我们描述了主要种类的细胞外囊泡的产生机制,并深入研究了它们的蛋白质含量。我们还分析了肺癌研究中细胞外囊泡的蛋白质组学特征的最新进展,并探讨了它们在诊断中的潜力和疾病发展的机制。意义:本文重点介绍了蛋白质组学在肺癌细胞外囊泡表征方面取得的进展。鉴于肺癌是癌症相关死亡的主要原因,在当前的生物医学研究中,从分子上表征这种疾病是至关重要的。我们的目的是提请读者注意分析细胞外囊泡的好处,因为它们的蛋白质含量有望作为一种替代液体活检来实现这些目标。通过讨论现有的发现和仍然存在的挑战,我们希望激励研究人员利用蛋白质组学工具来开发新的方法,这些方法可以持续应用于临床研究和个性化患者护理。
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引用次数: 0
Quantitative proteomic analysis of cadmium chloride tolerance mechanisms in Aeromonas hydrophila 嗜水气单胞菌对氯化镉耐受机制的定量蛋白质组学分析。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-03 DOI: 10.1016/j.jprot.2025.105555
Xiaofang Xie , Binghui Zhang , Xin Chen , Jiaqi Tang , Zhen Qiu , Chenghao Shen , Lingli Lian , Gang Gu , Xiangmin Lin , Farman Ali
Aeromonas hydrophila, an antibiotic-and multi-metal-resistant pathogen, threatens aquaculture, yet its adaptation to cadmium chloride (CdCl₂) remains poorly understood. A.hydrophilla was grown with CdCl₂ exposure, and data-independent acquisition (DIA)-based proteomics was employed to identify the 253 upregulated and 163 downregulated proteins. GO and KEGG enrichment analyses revealed upregulated proteins involved in sulfate metabolism, siderophore- and iron transport, and other transition metal transport processes, while downregulated proteins were linked to amino acid metabolism, the tricarboxylic acid (TCA) cycle, and fatty acid metabolism. Gene Set Enrichment Analysis (GSEA) indicated positive enrichment of ribosome, RNA degradation, sulfur metabolism, and riboflavin metabolism, and negative enrichment of valine, leucine, and isoleucine degradation, two-component system, and bacterial chemotaxis. CdCl₂ tolerance assays of four gene-deletion mutants confirmed proteomics predictions: ΔAHA_3605 (uncharacterized protein) and ΔAHA_1796 (GGDEF-domain deletion) were significantly more sensitive to CdCl₂, suggesting a role for cyclic di-GMP (c-di-GMP) signaling in cadmium resistance. Collectively, these results provide novel insights into the adaptive strategies of A. hydrophila, revealing key molecular determinants of CdCl₂ stress tolerance.

Significance

Cadmium contamination increasingly co-selects for antibiotic-resistant pathogens in aquaculture, yet the molecular basis of cadmium tolerance in Aeromonas hydrophila—one of the most problematic Gram-negative fish pathogens—has been unknown. Here, we provide the first comprehensive, DIA-based quantitative proteome map of A. hydrophila under CdCl₂ stress, uncovering a tightly orchestrated stress response that simultaneously remodels metal acquisition, down-regulates energy-intensive metabolism (TCA cycle, branched chain amino acid and fatty acid degradation), and activates sulfur-riboflavin-ribosome pathways to repair oxidative damage. Functional validation using gene-deletion mutants demonstrated that loss of AHA_3605 (uncharacterized) or AHA_1796 (GGDEF domain protein) significantly increased CdCl₂ sensitivity, implicating cyclic di-GMP signaling in cadmium resistance. These findings advance our mechanistic understanding of heavy-metal adaptation in aquatic pathogens and offer proteome informed targets to disrupt metal-driven co-selection of multidrug-resistant A. hydrophila in aquaculture ecosystems.
嗜水气单胞菌是一种抗生素和多金属耐药病原体,威胁着水产养殖,但其对氯化镉(CdCl 2)的适应性仍知之甚少。在CdCl 2暴露条件下培养a.h ilphililla,采用数据独立采集(DIA)的蛋白质组学方法鉴定了253个上调蛋白和163个下调蛋白。GO和KEGG富集分析显示,上调的蛋白质参与硫酸盐代谢、铁载体和铁运输以及其他过渡金属运输过程,而下调的蛋白质与氨基酸代谢、三羧酸(TCA)循环和脂肪酸代谢有关。基因集富集分析(GSEA)显示核糖体、RNA降解、硫代谢和核黄素代谢呈阳性富集,缬氨酸、亮氨酸和异亮氨酸降解、双组分系统和细菌趋化性呈负富集。四种基因缺失突变体的CdCl 2耐受性测试证实了蛋白质组学预测:ΔAHA_3605(未表征蛋白)和ΔAHA_1796 (ggdef结构域缺失)对CdCl 2明显更敏感,这表明环二gmp (c-di-GMP)信号在镉抗性中的作用。总的来说,这些结果为嗜水单胞菌的适应策略提供了新的见解,揭示了CdCl 2耐受性的关键分子决定因素。意义:镉污染越来越多地成为水产养殖中耐药病原体的共同选择,但嗜水气单胞菌(最具问题的革兰氏阴性鱼类病原体之一)对镉耐受的分子基础尚不清楚。在这里,我们提供了第一个全面的、基于dia的CdCl 2胁迫下嗜水藻的定量蛋白质组图,揭示了一个紧密协调的应激反应,同时重塑金属获取,下调能量密集型代谢(TCA循环、支链氨基酸和脂肪酸降解),并激活硫-核黄素-核糖体途径来修复氧化损伤。基因缺失突变体的功能验证表明,AHA_3605(未鉴定的)或AHA_1796 (GGDEF结构域蛋白)的缺失显著增加了CdCl 2敏感性,暗示了环二gmp信号在镉抗性中的作用。这些发现促进了我们对水生病原体重金属适应机制的理解,并提供了蛋白质组学信息靶点,以破坏水产养殖生态系统中多重耐药嗜水单胞菌的金属驱动的共选择。
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引用次数: 0
Decoding bladder cancer aggressiveness: A proteomic, phosphoproteomic and metabolomic approach 解码膀胱癌侵袭性:蛋白质组学、磷蛋白质组学和代谢组学方法。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-02 DOI: 10.1016/j.jprot.2025.105553
Zhihui Feng , Biao Zhang , Yi Liu , Fei Yang , Yinping Lei , Songbai Liao , Xianliang Hou

Background

Bladder cancer (BC) is the most common malignancy of the urinary system. However, the median survival of patients with metastatic bladder cancer remains limited. Thus, there is an urgent imperative to develop novel biomarkers for BC-targeted therapies and to conduct in-depth investigations into BC pathogenesis leveraging multi-omics technologies.

Results

Our results revealed that proteins co-upregulated in both proteomic and phosphoproteomic analysis, such as SLC4A7 and MYO9B, demonstrated potential utility in distinguishing MIBC from NMIBC. Upregulation of CPT2 and palmitic acid in MIBC patients highlighted the dysregulation of physiological control mechanisms and enhanced pro-tumorigenic effects of lipid metabolic pathways.

Conclusions

Integrated multi-omics analysis reveals that key regulatory proteins such as SLC4A7 and MYO9B play pivotal roles in mediating the aggressive phenotypes of MIBC. Aberrant upregulation of CPT2 protein and metabolites like palmitic acid may drive malignant transformation from NMIBC to MIBC by promoting lipid metabolic reprogramming.

Significance

This study utilized LC-MS/MS to systematically profile the proteomic, phosphoproteomic, and metabolomic characteristics of MIBC, NMIBC, and adjacent noncancerous tissues, with the aim of identifying key molecules and metabolites driving bladder cancer progression. Our findings indicate that aberrant phosphorylation of regulatory proteins such as SLC4A7 and MYO9B may play a critical role in mediating the invasive phenotype of MIBC. In parallel, the upregulation of CPT2 and its associated metabolites (e.g., palmitic acid) suggests that lipid metabolic reprogramming, including enhanced β-oxidation and membrane phospholipid synthesis, may contribute to the malignant transition from NMIBC to MIBC. Overall, this study not only reveals potential molecules and metabolites driving bladder cancer progression but also provides a valuable reference for further exploration of pathways associated with bladder cancer invasiveness.
背景:膀胱癌是泌尿系统最常见的恶性肿瘤。然而,转移性膀胱癌患者的中位生存期仍然有限。因此,迫切需要开发新的生物标志物用于BC靶向治疗,并利用多组学技术对BC的发病机制进行深入研究。结果:我们的研究结果显示,在蛋白质组学和磷酸化蛋白质组学分析中共同上调的蛋白,如SLC4A7和MYO9B,在区分MIBC和NMIBC方面具有潜在的实用性。在MIBC患者中,CPT2和棕榈酸的上调突出了生理控制机制的失调和脂质代谢途径的促肿瘤作用的增强。结论:综合多组学分析显示,SLC4A7和MYO9B等关键调控蛋白在介导MIBC侵袭性表型中发挥了关键作用。CPT2蛋白和代谢物如棕榈酸的异常上调可能通过促进脂质代谢重编程驱动NMIBC向MIBC的恶性转化。意义:本研究利用LC-MS/MS系统分析了MIBC、NMIBC及邻近非癌组织的蛋白质组学、磷酸化蛋白质组学和代谢组学特征,旨在鉴定驱动膀胱癌进展的关键分子和代谢物。我们的研究结果表明,SLC4A7和MYO9B等调节蛋白的异常磷酸化可能在介导MIBC的侵袭表型中发挥关键作用。同时,CPT2及其相关代谢物(如棕榈酸)的上调表明,脂质代谢重编程,包括β-氧化和膜磷脂合成的增强,可能有助于NMIBC向MIBC的恶性转变。总的来说,本研究不仅揭示了膀胱癌进展的潜在分子和代谢物,而且为进一步探索膀胱癌侵袭性相关途径提供了有价值的参考。
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引用次数: 0
Comparative quantitative proteomics of tumoral and peritumoral tissues for distinguishing human glioblastoma from low-grade astrocytoma 肿瘤和肿瘤周围组织的比较定量蛋白质组学用于区分人胶质母细胞瘤和低级别星形细胞瘤。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-27 DOI: 10.1016/j.jprot.2025.105547
Zhigang Xiong , Chaoxi Li , Qiangqiang Han , Yanting Su , Liming Cheng , Hao-Long Zeng
<div><div>Glioblastoma multiforme (GBM) and low-grade astrocytoma (LGA) are diffuse gliomas with distinct biological features and prognoses. However, the molecular mechanisms driving their differences are not fully understood. In this study, we performed a multi-dataset analysis integrating in-house quantitative proteomics data with high-quality external datasets to identify GBM-specific proteomic alterations between tumoral and peritumoral tissues relative to LGA. Our analysis revealed more pronounced proteomic differences between intra- and peritumoral tissues in GBM than in LGA. Proteins specifically dysregulated in GBM were predominantly linked to upregulated RNA splicing and spliceosome signaling. Through multi-dataset integration, we identified 73 GBM-specific upregulated proteins enriched in processes such as transcriptional regulation, hypoxia and necrosis, cytoskeleton organization, extracellular matrix remodeling, and immune response. Conversely, the 129 GBM-specific downregulated proteins were mainly involved in tumor suppression, G-protein signaling, calcium signaling, and neuronal gap junctions. Using these signature proteins, we developed a risk model based on CDK2, HDAC1, IGFBP2, SLC6A1, and TNR, which significantly predicted overall survival in glioma patients. This study delineates the proteomic landscape of GBM in comparison to LGA and offers a valuable resource for future mechanistic and clinical investigations.</div></div><div><h3>Significance</h3><div>Diffuse gliomas are a heterogeneous brain tumor that include both low-grade and high-grade variants, each characterized by distinct morphological and biological features. Glioblastoma multiforme (GBM) is the most common primary high-grade and malignant brain tumor, with a median survival of less than 15 months despite aggressive treatment, including surgery, radiotherapy, and chemotherapy. In contrast, low-grade astrocytoma (LGA) exhibits indolent growth and a less aggressive clinical course, resulting in significantly longer patient survival compared to GBM. The molecular mechanisms underlying the biological differences between LGA and GBM are incompletely understood, and there is an urgent need for new molecular biomarkers to enhance diagnosis and therapeutic options. In this study, we conducted a comprehensive multi-dataset analysis by integrating our in-house quantitative proteomics data with several high-quality external datasets. We analyzed tumor and peritumoral tissue samples from human GBM and LGA, and further identified the GBM-specifically regulated proteomic signatures and signaling pathways, which is crucial for understanding the molecular mechanisms driving the aggressive behavior of GBM and could serve as a foundation for developing novel diagnostic biomarkers and therapeutic targets. Future research should focus on validating these GBM-specific proteins in larger cohorts and exploring their functional roles in GBM progression. Additionally, integrating multi-omic
多形性胶质母细胞瘤(GBM)和低级别星形细胞瘤(LGA)是具有不同生物学特征和预后的弥漫性胶质瘤。然而,导致它们差异的分子机制尚不完全清楚。在这项研究中,我们进行了多数据集分析,整合了内部定量蛋白质组学数据和高质量的外部数据集,以确定肿瘤和肿瘤周围组织之间与LGA相关的gbm特异性蛋白质组学改变。我们的分析显示,与LGA相比,GBM肿瘤内和肿瘤周围组织的蛋白质组学差异更明显。在GBM中特异性失调的蛋白质主要与RNA剪接和剪接体信号的上调有关。通过多数据集整合,我们确定了73个gbm特异性上调蛋白,这些蛋白在转录调节、缺氧和坏死、细胞骨架组织、细胞外基质重塑和免疫反应等过程中富集。相反,129个gbm特异性下调蛋白主要参与肿瘤抑制、g蛋白信号、钙信号和神经元间隙连接。利用这些特征蛋白,我们建立了一个基于CDK2、HDAC1、IGFBP2、SLC6A1和TNR的风险模型,该模型可以显著预测胶质瘤患者的总生存率。该研究描述了GBM与LGA的蛋白质组学比较,为未来的机制和临床研究提供了宝贵的资源。意义:弥漫性胶质瘤是一种异质性脑肿瘤,包括低级别和高级别变体,每一种变体都有不同的形态学和生物学特征。多形性胶质母细胞瘤(GBM)是最常见的原发性高级别恶性脑肿瘤,尽管积极治疗,包括手术、放疗和化疗,患者的中位生存期仍不到15个月。相比之下,低级别星形细胞瘤(LGA)表现出缓慢的生长和较低的侵袭性临床病程,与GBM相比,患者的生存期明显更长。LGA和GBM之间生物学差异的分子机制尚不完全清楚,迫切需要新的分子生物标志物来增强诊断和治疗选择。在这项研究中,我们通过整合我们内部的定量蛋白质组学数据和几个高质量的外部数据集,进行了全面的多数据集分析。我们分析了来自人类GBM和LGA的肿瘤和肿瘤周围组织样本,并进一步确定了GBM特异性调节的蛋白质组学特征和信号通路,这对于理解驱动GBM侵袭行为的分子机制至关重要,并可以为开发新的诊断生物标志物和治疗靶点奠定基础。未来的研究应侧重于在更大的队列中验证这些GBM特异性蛋白,并探索它们在GBM进展中的功能作用。此外,将多组学数据(如基因组学、转录组学和代谢组学)与蛋白质组学相结合,可以更全面地了解GBM的分子机制。
{"title":"Comparative quantitative proteomics of tumoral and peritumoral tissues for distinguishing human glioblastoma from low-grade astrocytoma","authors":"Zhigang Xiong ,&nbsp;Chaoxi Li ,&nbsp;Qiangqiang Han ,&nbsp;Yanting Su ,&nbsp;Liming Cheng ,&nbsp;Hao-Long Zeng","doi":"10.1016/j.jprot.2025.105547","DOIUrl":"10.1016/j.jprot.2025.105547","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Glioblastoma multiforme (GBM) and low-grade astrocytoma (LGA) are diffuse gliomas with distinct biological features and prognoses. However, the molecular mechanisms driving their differences are not fully understood. In this study, we performed a multi-dataset analysis integrating in-house quantitative proteomics data with high-quality external datasets to identify GBM-specific proteomic alterations between tumoral and peritumoral tissues relative to LGA. Our analysis revealed more pronounced proteomic differences between intra- and peritumoral tissues in GBM than in LGA. Proteins specifically dysregulated in GBM were predominantly linked to upregulated RNA splicing and spliceosome signaling. Through multi-dataset integration, we identified 73 GBM-specific upregulated proteins enriched in processes such as transcriptional regulation, hypoxia and necrosis, cytoskeleton organization, extracellular matrix remodeling, and immune response. Conversely, the 129 GBM-specific downregulated proteins were mainly involved in tumor suppression, G-protein signaling, calcium signaling, and neuronal gap junctions. Using these signature proteins, we developed a risk model based on CDK2, HDAC1, IGFBP2, SLC6A1, and TNR, which significantly predicted overall survival in glioma patients. This study delineates the proteomic landscape of GBM in comparison to LGA and offers a valuable resource for future mechanistic and clinical investigations.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Significance&lt;/h3&gt;&lt;div&gt;Diffuse gliomas are a heterogeneous brain tumor that include both low-grade and high-grade variants, each characterized by distinct morphological and biological features. Glioblastoma multiforme (GBM) is the most common primary high-grade and malignant brain tumor, with a median survival of less than 15 months despite aggressive treatment, including surgery, radiotherapy, and chemotherapy. In contrast, low-grade astrocytoma (LGA) exhibits indolent growth and a less aggressive clinical course, resulting in significantly longer patient survival compared to GBM. The molecular mechanisms underlying the biological differences between LGA and GBM are incompletely understood, and there is an urgent need for new molecular biomarkers to enhance diagnosis and therapeutic options. In this study, we conducted a comprehensive multi-dataset analysis by integrating our in-house quantitative proteomics data with several high-quality external datasets. We analyzed tumor and peritumoral tissue samples from human GBM and LGA, and further identified the GBM-specifically regulated proteomic signatures and signaling pathways, which is crucial for understanding the molecular mechanisms driving the aggressive behavior of GBM and could serve as a foundation for developing novel diagnostic biomarkers and therapeutic targets. Future research should focus on validating these GBM-specific proteins in larger cohorts and exploring their functional roles in GBM progression. Additionally, integrating multi-omic","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":"322 ","pages":"Article 105547"},"PeriodicalIF":2.8,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145401380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Differences between protein cargo in outer membrane vesicles released from Mannheimia haemolytica A2 in the presence and absence of bovine lactoferrin 在存在和不存在牛乳铁蛋白的情况下,溶血曼海默症A2释放的外膜囊泡中蛋白质货物的差异
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-24 DOI: 10.1016/j.jprot.2025.105550
Christian Avalos-Gómez , Mario Alejandro Aguilar-Chaparro , Emmanuel Ríos-Castro , Ernesto Marin-Flamand , Ana Elvia Sánchez-Mendoza , Mireya de la Garza
Pneumonic mannheimiosis (PM) is a respiratory disease that causes significant economic losses in the ruminant livestock industry. Due to the lack of effective commercial products and the growing problem of bacterial antibiotic resistance, recent studies have focused on identifying new therapeutic strategies. Mannheimia haemolytica, the primary bacterial pathogen in ovine PM, naturally releases outer membrane vesicles (OMVs) whose protein cargo varies depending on environmental conditions. Lactoferrin (LF) is a glycoprotein of the mammalian innate immune system with bacteriostatic and bactericidal properties. In this study, we evaluated the effect of bovine LF on the protein composition of M. haemolytica OMVs. A total of 766 proteins were identified, including cytoplasmic, outer membrane (OM), and cell envelope proteins, most of which are related to metabolic processes. The presence of LF in the culture medium led to differential regulation of 162 proteins, affecting pathways such as general metabolism, aminoacyl-tRNA biosynthesis, RNA degradation, and biosynthesis of secondary metabolites. Notably, a decrease was observed in several lipoproteins (Lpps), OM proteins (OMPs)—including the LF-binding protein OmpA—and two components of the Tol–Pal system associated with pathogenicity. In addition, LF treatment was associated with a tendency to increase both the size and number of OMVs. These observations provide valuable insights into the use of LF-modified OMVs as a foundation for alternative prophylactic or therapeutic options against PM.

Significance

This work focuses on the analysis of protein cargo in Mannheimia haemolytica A2 OMVs, when bacteria grow in the presence of bovine lactoferrin (LF). This glycoprotein from the innate immune system caused stress in the bacteria which led to more OMVs released and differences in protein cargo present in OMVs, including decrease of several proteins related to pathogenicity. The results in vitro suggest that treatment with LF could reduce the damage caused by OMVs to their host cells, and being LF an alternative for the prevention and treatment of pneumonic mannheimiosis.
肺炎人粪症(PM)是一种呼吸道疾病,在反刍动物畜牧业中造成重大经济损失。由于缺乏有效的商业产品和日益严重的细菌抗生素耐药性问题,最近的研究集中在确定新的治疗策略上。溶血性曼海姆病是绵羊PM的主要细菌病原体,自然释放外膜囊泡(omv),其蛋白质载货量根据环境条件而变化。乳铁蛋白(LF)是哺乳动物先天免疫系统的一种糖蛋白,具有抑菌和杀菌特性。在这项研究中,我们评估了牛LF对溶血分枝杆菌omv蛋白组成的影响。共鉴定出766种蛋白质,包括细胞质、外膜和细胞包膜蛋白,其中大部分与代谢过程有关。LF在培养基中的存在导致162种蛋白的差异调控,影响一般代谢、氨基酰基- trna生物合成、RNA降解和次生代谢物生物合成等途径。值得注意的是,观察到几种脂蛋白(Lpps)、OM蛋白(OMPs)(包括lf结合蛋白ompa)和与致病性相关的toll - pal系统的两种成分)的减少。此外,LF治疗与omv的大小和数量增加的趋势有关。这些观察结果为使用lf修饰的omv作为PM的替代预防或治疗选择的基础提供了有价值的见解。意义本研究重点分析了溶血性曼海默病A2 omv在牛乳铁蛋白(LF)存在下生长时的蛋白载货量。这种来自先天免疫系统的糖蛋白在细菌中引起应激,导致更多的omv释放和omv中存在的蛋白质货物的差异,包括与致病性相关的几种蛋白质的减少。体外实验结果表明,LF治疗可减轻omv对宿主细胞的损伤,是预防和治疗肺性贫血症的一种替代方法。
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引用次数: 0
Advancing post-genomics research in Mexico: Opportunities and strategies for the next decade 在墨西哥推进后基因组学研究:未来十年的机遇和战略
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-23 DOI: 10.1016/j.jprot.2025.105551
Robert Winkler , Aldo Moreno-Ulloa
The Mexican Proteomics Society (SMP) is the oldest proteomics organization in Latin America (LATAM), dedicated to advancing research in proteomics, metabolomics, and mass spectrometry (MS). As a non-profit, SMP organizes symposia and academic events, promoting collaboration and education. Since its founding in 2005, SMP has held biennial meetings and workshops in proteomics and metabolomics, invited international experts and fostered a multidisciplinary community. In this perspective manuscript, we provide a brief overview of the SMP, highlighting positive and negative aspects related to the economy, funding, infrastructure, technology and innovation, agriculture, health, and other fields. We also offer an overview of the MS equipment—critical infrastructure for omics research development—available within research centers and universities nationwide. Moreover, we present statistics on the contributions of Mexican-affiliated researchers to published research articles across various omics disciplines comparing Mexico's output to that of other LATAM countries. We believe that with this perspective the community will capture the role of the SMP in the development of omics research in Mexico, what is the country's contribution in the field, what are the country needs and how the new SMP board will contribute to advancing the field.

Significance

Omics-based societies play a crucial role in education, scientific development, and fostering multi-institutional collaborations. Although there are various societies worldwide focused on mass spectrometry-based omics, such as proteomics and metabolomics, their presence and impact on academia can be difficult to track. Therefore, in this manuscript, we provide a brief overview of the Mexican Proteomics Society (SMP), highlighting its contributions to omics research, the opportunities envisioned by the 2025-elected SMP leadership to advance omics science nationwide, and insights into the strategic directions for the coming decade.
墨西哥蛋白质组学学会(SMP)是拉丁美洲(LATAM)历史最悠久的蛋白质组学组织,致力于推进蛋白质组学、代谢组学和质谱(MS)的研究。作为一个非营利组织,SMP组织专题讨论会和学术活动,促进合作和教育。自2005年成立以来,SMP每两年举办一次蛋白质组学和代谢组学的会议和研讨会,邀请国际专家并培养了一个多学科的社区。在这篇前瞻性手稿中,我们简要概述了SMP,突出了与经济、资金、基础设施、技术和创新、农业、卫生和其他领域相关的积极和消极方面。我们还提供了MS设备的概述-组学研究开发的关键基础设施-在全国的研究中心和大学中可用。此外,我们还提供了墨西哥研究人员对各种组学学科发表的研究文章的贡献的统计数据,将墨西哥的产出与其他拉丁美洲国家的产出进行比较。我们相信,从这个角度来看,社区将抓住SMP在墨西哥组学研究发展中的作用,该国在该领域的贡献是什么,国家需要什么,以及新的SMP董事会将如何促进该领域的发展。基于组学的社会在教育、科学发展和促进多机构合作方面发挥着至关重要的作用。尽管世界上有各种各样的学会专注于基于质谱的组学,如蛋白质组学和代谢组学,但它们的存在和对学术界的影响很难追踪。因此,在本文中,我们提供了墨西哥蛋白质组学学会(SMP)的简要概述,强调其对组学研究的贡献,2025年当选的SMP领导层所设想的在全国范围内推进组学科学的机会,以及对未来十年战略方向的见解。
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引用次数: 0
Comparative performance of Scribe and database search engines in metaproteomic profiling of a ground-truth microbiome dataset 在真实微生物组数据集的元蛋白质组学分析中,scribe和数据库搜索引擎的比较性能。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-21 DOI: 10.1016/j.jprot.2025.105549
Andrew T. Rajczewski , Subina Mehta , Reid Wagner , Wassim Gabriel , James Johnson , Katherine Do , Simina Vintila , Mathias Wilhelm , Manuel Kleiner , Brian C. Searle , Timothy J. Griffin , Pratik D. Jagtap
Mass spectrometry-based metaproteomics, the identification and quantification of thousands of proteins expressed by complex microbial communities, has become pivotal for unraveling functional interactions within microbiomes. However, metaproteomics data analysis encounters many challenges, including the search of tandem mass spectra against a protein sequence database using proteomics database search algorithms. We used a ground-truth dataset to assess a spectral library searching method against established database searching approaches. Mass spectrometry data collected by data-dependent acquisition (DDA-MS) was analyzed using database searching approaches (MaxQuant and FragPipe), as well as using Scribe with Prosit predicted spectral libraries. We used FASTA databases that included protein sequences from microbial species present in the ground-truth dataset along with background protein sequences, to estimate error rates and assess the effects on detection, peptide-spectral match quality, and quantification. Using the Scribe search engine resulted in more proteins detected at a 1 % false discovery rate (FDR) compared to MaxQuant or FragPipe, while FragPipe detected more peptides verified by PepQuery. Scribe was able to detect more low-abundance proteins in the microbiome dataset and was more accurate in quantifying the microbial community composition. This research provides insights and guidance for metaproteomics researchers aiming to optimize results in their analysis of DDA-MS data.

Significance of the study

Metaproteomics requires a balance between high numbers of peptide and protein identification and confidence in the accuracy of the identifications made. We demonstrate the utility of the Scribe search engine for metaproteomics applications, as it was found to detect low-abundance proteins with accurate quantitation than other DDA-MS search engines. This tool has great utility for both novel metaproteomics studies as well as hypothesis-generating experiments using previously acquired open source proteomics raw data.
基于质谱的宏蛋白质组学,鉴定和定量复杂微生物群落表达的数千种蛋白质,已成为揭示微生物组内功能相互作用的关键。然而,宏蛋白质组学数据分析面临着许多挑战,包括使用蛋白质组学数据库搜索算法在蛋白质序列数据库中搜索串联质谱。我们使用一个ground-truth数据集来评估光谱库搜索方法与现有数据库搜索方法的对比。通过数据依赖采集(DDA-MS)收集的质谱数据使用数据库搜索方法(MaxQuant和FragPipe)以及带有Prosit预测谱库的Scribe进行分析。我们使用FASTA数据库,包括来自微生物物种的蛋白质序列和背景蛋白质序列,以估计错误率并评估对检测、肽谱匹配质量和定量的影响。与MaxQuant或FragPipe相比,使用Scribe搜索引擎以1 %的错误发现率(FDR)检测到更多的蛋白质,而FragPipe检测到更多的经PepQuery验证的肽。Scribe能够在微生物组数据集中检测到更多的低丰度蛋白质,并且在量化微生物群落组成方面更加准确。本研究为宏蛋白质组学研究人员在DDA-MS数据分析中优化结果提供了见解和指导。研究意义:宏蛋白质组学需要在大量的肽和蛋白质鉴定和对鉴定准确性的信心之间取得平衡。我们展示了Scribe搜索引擎在宏蛋白质组学应用中的实用性,因为与其他DDA-MS搜索引擎相比,它可以准确定量地检测低丰度蛋白质。该工具对于新的宏蛋白质组学研究以及使用先前获得的开源蛋白质组学原始数据的假设生成实验都具有很大的实用性。
{"title":"Comparative performance of Scribe and database search engines in metaproteomic profiling of a ground-truth microbiome dataset","authors":"Andrew T. Rajczewski ,&nbsp;Subina Mehta ,&nbsp;Reid Wagner ,&nbsp;Wassim Gabriel ,&nbsp;James Johnson ,&nbsp;Katherine Do ,&nbsp;Simina Vintila ,&nbsp;Mathias Wilhelm ,&nbsp;Manuel Kleiner ,&nbsp;Brian C. Searle ,&nbsp;Timothy J. Griffin ,&nbsp;Pratik D. Jagtap","doi":"10.1016/j.jprot.2025.105549","DOIUrl":"10.1016/j.jprot.2025.105549","url":null,"abstract":"<div><div>Mass spectrometry-based metaproteomics, the identification and quantification of thousands of proteins expressed by complex microbial communities, has become pivotal for unraveling functional interactions within microbiomes. However, metaproteomics data analysis encounters many challenges, including the search of tandem mass spectra against a protein sequence database using proteomics database search algorithms. We used a ground-truth dataset to assess a spectral library searching method against established database searching approaches. Mass spectrometry data collected by data-dependent acquisition (DDA-MS) was analyzed using database searching approaches (MaxQuant and FragPipe), as well as using Scribe with Prosit predicted spectral libraries. We used FASTA databases that included protein sequences from microbial species present in the ground-truth dataset along with background protein sequences, to estimate error rates and assess the effects on detection, peptide-spectral match quality, and quantification. Using the Scribe search engine resulted in more proteins detected at a 1 % false discovery rate (FDR) compared to MaxQuant or FragPipe, while FragPipe detected more peptides verified by PepQuery. Scribe was able to detect more low-abundance proteins in the microbiome dataset and was more accurate in quantifying the microbial community composition. This research provides insights and guidance for metaproteomics researchers aiming to optimize results in their analysis of DDA-MS data.</div></div><div><h3>Significance of the study</h3><div>Metaproteomics requires a balance between high numbers of peptide and protein identification and confidence in the accuracy of the identifications made. We demonstrate the utility of the Scribe search engine for metaproteomics applications, as it was found to detect low-abundance proteins with accurate quantitation than other DDA-MS search engines. This tool has great utility for both novel metaproteomics studies as well as hypothesis-generating experiments using previously acquired open source proteomics raw data.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":"322 ","pages":"Article 105549"},"PeriodicalIF":2.8,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145355158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Proteomic exploration of the recently Re-classified forest cobra Naja species and the potential cytotoxic activity in cancer cell lines 最近重新分类的森林眼镜蛇Naja物种的蛋白质组学研究及其对癌细胞的潜在细胞毒性活性。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-18 DOI: 10.1016/j.jprot.2025.105548
Phetolo Motsa , Beric Muller , Lesetja R. Motadi , Benedict C. Offor , Lizelle A. Piater
The forest cobra (Naja melanoleuca) species represents one of the most widespread medically important elapid snakes across Africa. The immense tissue-damaging effect of cobra venoms is attributed to the cytotoxins (CTX), which predominate in virtually all cobra venoms. In this study a bottom-up venomic approach was followed for deciphering the composition of the N. melanoleuca, N. subfulva, and N. savannula venom proteomes. The results revealed complex venoms that constituted predominantly of proteins belonging to the three-finger toxins (3FTxs) followed by phospholipase A2 (PLA2s) and snake venom metalloproteinases (SVMPs). The cytotoxicity and selectivity of the crude venoms and fractions were evaluated against cancer and normal cell lines. The crude N. melanoleuca venom sample demonstrated weak/low cytotoxic activity across the different cell lines as corroborated by SI values of less than 2, thus highlighting its limited application against these cancer cells, while the N. subfulva venom demonstrated its highest cytotoxic activity against the HeLa cancer cell line with a moderate selectivity index of 2.04. It is crucial to emphasize that these findings are still in the preliminary stages, primarily based on in vitro studies, and there remains a significant gap to bridge before any therapeutic applications can be considered.

Significance

Biological significance: African forest cobra venom is a rich source of bioactive compounds such as cytotoxins, which cause tissue necrosis and descending paralysis. However, the venom has also been identified as a potential source of therapeutic agents, including anticancer agents. In this study, we evaluate the anticancer effects of the N. melanoleuca, N. subfulva, and N. savannula venoms and their fractions against the selected cell lines. The 3FTxs and PLA2s, which are the most abundant protein families in the venoms, are predominantly responsible for the cytotoxic effects. In conclusion, this research study highlights the important role of forest cobra venoms as potential resources that researchers can further exploit to investigate the molecules responsible for the anticancer effect and investigate their mechanisms of action.
森林眼镜蛇(Naja melanoleuca)物种代表了非洲最广泛的医学上重要的蛇之一。眼镜蛇毒液的巨大的组织破坏作用归因于细胞毒素(CTX),它在几乎所有的眼镜蛇毒液中占主导地位。在这项研究中,自下而上的毒液方法被用于破译N. melanoleuca, N. subfulva和N. savannula毒液蛋白质组的组成。结果显示,复杂的毒液主要由三指毒素(3FTxs)蛋白质组成,其次是磷脂酶A2 (PLA2s)和蛇毒金属蛋白酶(SVMPs)。研究了粗毒液和粗馏分对肿瘤和正常细胞株的细胞毒性和选择性。粗制黑素N.毒液样品在不同细胞系中表现出弱/低的细胞毒活性,SI值小于2,因此表明其对这些癌细胞的应用有限,而亚富尔N.毒液对HeLa癌细胞的细胞毒活性最高,选择性指数为2.04。必须强调的是,这些发现仍处于初步阶段,主要基于体外研究,在考虑任何治疗应用之前,仍有很大的差距需要弥合。生物学意义:非洲森林眼镜蛇毒液是一种丰富的生物活性化合物,如细胞毒素,可引起组织坏死和下降性麻痹。然而,毒液也被确定为治疗剂的潜在来源,包括抗癌剂。在这项研究中,我们评估了黑素N., N. subfulva和N. savannula毒液及其组分对选定细胞系的抗癌作用。3FTxs和PLA2s是毒液中最丰富的蛋白质家族,它们主要负责细胞毒性作用。总之,本研究强调了森林眼镜蛇毒液作为潜在资源的重要作用,研究人员可以进一步研究负责抗癌作用的分子及其作用机制。
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引用次数: 0
Hypersensitivity and L-Asparaginase: A structural analysis of the interaction with HLA-DRB1*07:01 过敏与l -天冬酰胺酶:HLA-DRB1相互作用的结构分析*07:01
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-17 DOI: 10.1016/j.jprot.2025.105538
Jhenifer Yonara de Lima , Emanuella de Castro Andreassa , Marlon Dias Mariano Santos , Paulo Costa Carvalho , Tatiana de Arruda Campos Brasil de Souza
L-Asparaginase derived from Escherichia coli (EcA) is extensively employed in the treatment of acute lymphoblastic leukemia (ALL); however, immunogenic responses frequently result in therapeutic failure. This study aims to identify residues involved in EcA immunogenicity and to propose structural modifications that may reduce antigenic potential or facilitate the development of targeted therapeutic strategies to inhibit such interactions. To achieve this, we investigate the sites of interaction of HLA-DRB1*07:01 allele and EcA by crosslinking mass spectrometry (XL-MS) using recombinantly expressed proteins. Circular dichroism (CD) spectroscopy confirmed the proper folding of the expressed enzymes, ensuring their structural integrity. Additionally, XL-MS allowed us to experimentally determine the structure of HLA-DRB1*07:01, which was previously unknown. Structural analysis and sequence alignment revealed immunogenic epitopes on the enzyme surface, particularly near the active site and at K288, a highly reactive residue. Our findings highlight key immunogenic sites on EcA, particularly residues 53–58, 283–289, and K288, which represent promising targets for reducing immunogenicity while preserving enzymatic function. These proposed modifications should be experimentally validated to ensure enzyme activity is maintained while effectively mitigating immune responses.

Significance

Hypersensitivity to Escherichia coli-derived L-asparaginase (EcA) remains one of the main challenges in the treatment of acute lymphoblastic leukemia (ALL), often forcing patients to interrupt a therapy that could be lifesaving. In this study, we mapped at the structural level how EcA interacts with the HLA-DRB1*07:01 allele, one of the main genetic factors associated with these adverse reactions. By identifying specific regions of the enzyme that trigger the immune response, especially residue K288, we offer a foundation for targeted modifications that may reduce immunogenicity without affecting enzymatic activity. These findings provide a concrete path toward developing safer EcA variants and bring us closer to more effective and personalized treatments.
来自大肠杆菌(EcA)的l -天冬酰胺酶被广泛用于治疗急性淋巴细胞白血病(ALL);然而,免疫原性反应经常导致治疗失败。本研究旨在鉴定与EcA免疫原性有关的残基,并提出可能降低抗原潜力或促进开发靶向治疗策略以抑制这种相互作用的结构修饰。为了实现这一目标,我们利用重组表达蛋白的交联质谱(XL-MS)研究了HLA-DRB1*07:01等位基因与EcA相互作用的位点。圆二色性(CD)光谱证实了表达酶的正确折叠,确保了它们的结构完整性。此外,xml - ms使我们能够通过实验确定HLA-DRB1*07:01的结构,这是以前未知的。结构分析和序列比对显示酶表面有免疫原性表位,特别是活性位点附近和高活性残基K288。我们的发现突出了EcA上的关键免疫原性位点,特别是残基53-58、283-289和K288,它们代表了在保持酶功能的同时降低免疫原性的有希望的靶点。这些建议的修改应经过实验验证,以确保酶活性保持,同时有效地减轻免疫反应。意义:对大肠杆菌衍生的l -天冬酰胺酶(EcA)过敏仍然是治疗急性淋巴细胞白血病(ALL)的主要挑战之一,经常迫使患者中断可能挽救生命的治疗。在这项研究中,我们在结构水平上绘制了EcA如何与HLA-DRB1*07:01等位基因相互作用,HLA-DRB1*07:01是与这些不良反应相关的主要遗传因素之一。通过鉴定触发免疫反应的酶的特定区域,特别是残基K288,我们为可能在不影响酶活性的情况下降低免疫原性的靶向修饰提供了基础。这些发现为开发更安全的EcA变体提供了具体的途径,并使我们更接近更有效和个性化的治疗方法。
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引用次数: 0
Enhancing glycopeptide annotation and glycan localization using electron activated dissociation through a multiplexed parallel reaction monitoring design of experiments 通过多重平行反应监测实验设计,利用电子激活解离增强糖肽注释和糖聚糖定位。
IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-15 DOI: 10.1016/j.jprot.2025.105546
Hiba Salim , Ruben Almey , Laura Pont , Fernando Benavente , Maarten Dhaenens , Estela Giménez
We present an optimized electron activated dissociation (EAD) methodology, based on hot electron capture dissociation, for liquid chromatography-tandem mass spectrometry characterization of N- and O-glycopeptides, using recombinant human erythropoietin as a model glycoprotein. Applying a full factorial design of experiments (DoE) approach, we first optimized LC-MS parameters (i.e., ion spray voltage, ion source temperature, and active gradient time) to enhance glycopeptide ionization efficiency while reducing in-source fragmentation. A second DoE was then applied to fine-tune EAD-specific parameters. Multiplexed parallel reaction monitoring was performed to efficiently and comprehensively optimize the electron beam current, reaction time, and electron kinetic energy of the EAD set-up. Finally, the optimized EAD parameters, initially determined using one glycoform per glycopeptide, were successfully applied in data-dependent acquisition mode to detect the overall glycoform composition of each studied glycopeptide. Byonic, Fragpipe and Mascot softwares, and several peak picking softwares were used to evaluate the potential of our optimized EAD set-up, and compare with collision induced dissociation (CID). The results confirmed that EAD improved confidence in glycan localization, while CID enabled the identification of a greater number of glycoforms but with less confident glycan assignments.

Significance

The current manuscript introduces a novel and efficient optimization strategy for electron activated dissociation (EAD) parameters, based on hot electron capture dissociation, using a synergistic combination of design of experiments (DoE) and multiplexed parallel reaction monitoring (PRM) on the ZenoTOF 7600 instrument. The PRM-DoE approach enables rapid and systematic optimization of LC-MS conditions and simultaneous evaluation of key EAD parameters across target glycopeptide glycoforms in a drastically reduced number of experimental runs, significantly saving experimental time and resources. This approach provides the glycoproteomics field with a comprehensive method for achieving improved glycan site localization confidence over conventional collision induced dissociation, as demonstrated by applying a data-dependent acquisition method. The proposed strategy advances the analytical toolkit for LC-MS/MS glycoprotein analysis and potentially other post-translational modifications.
我们提出了一种优化的电子激活解离(EAD)方法,基于热电子捕获解离,用于液相色谱-串联质谱分析N-和o -糖肽,以重组人促红细胞生成素为模型糖蛋白。采用全因子实验设计(DoE)方法,我们首先优化了LC-MS参数(即离子喷雾电压、离子源温度和活性梯度时间),以提高糖肽电离效率,同时减少源内碎片化。然后应用第二个DoE来微调ead特定的参数。通过多路并行反应监测,对EAD装置的电子束电流、反应时间和电子动能进行了高效、全面的优化。最后,将优化后的EAD参数以每个糖肽的一种糖形式确定,成功地应用于数据依赖获取模式,以检测所研究的每个糖肽的整体糖形式组成。利用Byonic、Fragpipe和Mascot等软件,以及几种选峰软件对优化后的EAD结构进行了潜力评价,并与碰撞诱导解离(CID)进行了比较。结果证实,EAD提高了对聚糖定位的信心,而CID能够识别更多的糖型,但对聚糖分配的信心较低。意义:本文介绍了一种基于热电子捕获离解的电子激活离解(EAD)参数的新型高效优化策略,该策略使用了ZenoTOF 7600仪器上的实验设计(DoE)和多路并行反应监测(PRM)的协同组合。PRM-DoE方法能够快速、系统地优化LC-MS条件,同时评估跨目标糖肽糖型的关键EAD参数,大大减少了实验运行次数,显著节省了实验时间和资源。该方法为糖蛋白组学领域提供了一种全面的方法,可以比传统的碰撞诱导解离获得更高的聚糖位点定位信心,正如应用数据依赖获取方法所证明的那样。提出的策略推进了LC-MS/MS糖蛋白分析和潜在的其他翻译后修饰的分析工具包。
{"title":"Enhancing glycopeptide annotation and glycan localization using electron activated dissociation through a multiplexed parallel reaction monitoring design of experiments","authors":"Hiba Salim ,&nbsp;Ruben Almey ,&nbsp;Laura Pont ,&nbsp;Fernando Benavente ,&nbsp;Maarten Dhaenens ,&nbsp;Estela Giménez","doi":"10.1016/j.jprot.2025.105546","DOIUrl":"10.1016/j.jprot.2025.105546","url":null,"abstract":"<div><div>We present an optimized electron activated dissociation (EAD) methodology, based on hot electron capture dissociation, for liquid chromatography-tandem mass spectrometry characterization of N- and O-glycopeptides, using recombinant human erythropoietin as a model glycoprotein. Applying a full factorial design of experiments (DoE) approach, we first optimized LC-MS parameters (i.e., ion spray voltage, ion source temperature, and active gradient time) to enhance glycopeptide ionization efficiency while reducing in-source fragmentation. A second DoE was then applied to fine-tune EAD-specific parameters. Multiplexed parallel reaction monitoring was performed to efficiently and comprehensively optimize the electron beam current, reaction time, and electron kinetic energy of the EAD set-up. Finally, the optimized EAD parameters, initially determined using one glycoform per glycopeptide, were successfully applied in data-dependent acquisition mode to detect the overall glycoform composition of each studied glycopeptide. Byonic, Fragpipe and Mascot softwares, and several peak picking softwares were used to evaluate the potential of our optimized EAD set-up, and compare with collision induced dissociation (CID). The results confirmed that EAD improved confidence in glycan localization, while CID enabled the identification of a greater number of glycoforms but with less confident glycan assignments.</div></div><div><h3>Significance</h3><div>The current manuscript introduces a novel and efficient optimization strategy for electron activated dissociation (EAD) parameters, based on hot electron capture dissociation, using a synergistic combination of design of experiments (DoE) and multiplexed parallel reaction monitoring (PRM) on the ZenoTOF 7600 instrument. The PRM-DoE approach enables rapid and systematic optimization of LC-MS conditions and simultaneous evaluation of key EAD parameters across target glycopeptide glycoforms in a drastically reduced number of experimental runs, significantly saving experimental time and resources. This approach provides the glycoproteomics field with a comprehensive method for achieving improved glycan site localization confidence over conventional collision induced dissociation, as demonstrated by applying a data-dependent acquisition method. The proposed strategy advances the analytical toolkit for LC-MS/MS glycoprotein analysis and potentially other post-translational modifications.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":"322 ","pages":"Article 105546"},"PeriodicalIF":2.8,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145313131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Journal of proteomics
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