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Differential Proteomics of Large Extracellular Vesicles in Ovarian Cancer. 卵巢癌大细胞外囊泡的差异蛋白质组学研究。
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-02 DOI: 10.1002/pmic.70054
Kazuhiro Suzuki, Yusuke Yamamoto, Masami Kitagawa, Eri Asano-Inami, Kosuke Yoshida, Hiroaki Kajiyama, Akira Yokoi

Diverse extracellular vesicles (EVs) are present in all body fluids; however, knowledge of large EVs (lEVs) remains limited. Molecular EV profiles vary depending on EV size and the physiological circulatory system, even within the same patient. In this study, we aimed to characterize the proteomic profile of IEVs in ovarian cancer patients and identify lEV-protein biomarkers. We collected tissue, serum, and ascites from patients with high-grade serous ovarian cancer and concurrently separated small EVs (sEVs) and lEVs through sequential multistep centrifugation. Proteomic analysis of tissues and EVs revealed distinct EV profiles in serum and ascites, identifying 11 lEV-specific proteins in serum and 14 in ascites that were absent in sEV. Of these, seven serum-specific and 10 ascites-specific proteins were further analyzed using transcriptomic databases, revealing candidate diagnostic and prognostic lEV-protein biomarkers. Our findings underscore the importance of size-based EV separation, as particle size influences biosynthetic mechanisms, in identifying lEV-specific proteins with potential diagnostic and prognostic values. SUMMARY: This study underscores the importance of distinguishing extracellular vesicle (EV) subtypes and considering body fluid specificity in biomarker discovery. By isolating EVs based on size and stepwise separation and analyzing their proteomic profiles in ovarian cancer, we identified potential large EV (lEV)-specific biomarkers that reflect disease pathology. These findings provide a foundation for lEV-protein-based liquid biopsy approaches that could enhance the accuracy of early detection and patient stratification. Further validation in clinical settings may pave the way for more precise and personalized ovarian cancer diagnostics.

各种细胞外囊泡(EVs)存在于所有体液中;然而,对大型电动汽车(lev)的了解仍然有限。即使在同一患者内,EV分子谱也因EV大小和生理循环系统而异。在这项研究中,我们旨在表征卵巢癌患者evs的蛋白质组学特征,并鉴定lev蛋白生物标志物。我们收集了高级别浆液性卵巢癌患者的组织、血清和腹水,并通过顺序多步离心分离小ev (sev)和lev。组织和EV的蛋白质组学分析显示血清和腹水中有不同的EV谱,鉴定出血清中有11种EV特异性蛋白,腹水中有14种EV特异性蛋白在sEV中不存在。其中,使用转录组数据库进一步分析了7种血清特异性蛋白和10种腹水特异性蛋白,揭示了候选的lev蛋白诊断和预后生物标志物。我们的研究结果强调了基于颗粒大小的EV分离的重要性,因为颗粒大小影响生物合成机制,在鉴定具有潜在诊断和预后价值的lev特异性蛋白方面具有重要意义。摘要:这项研究强调了在生物标志物发现中区分细胞外囊泡(EV)亚型和考虑体液特异性的重要性。通过基于大小和逐步分离分离EV,并分析其在卵巢癌中的蛋白质组学特征,我们确定了反映疾病病理的潜在大型EV (lEV)特异性生物标志物。这些发现为基于lev蛋白的液体活检方法提供了基础,可以提高早期发现和患者分层的准确性。在临床环境中的进一步验证可能为更精确和个性化的卵巢癌诊断铺平道路。
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引用次数: 0
Issue Information: Proteomics 19'25 期刊信息:Proteomics 19'25
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-02 DOI: 10.1002/pmic.70053
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引用次数: 0
Oncogenic H-Ras Reprograms Madin-Darby Canine Kidney (MDCK) Cell-Derived Midbody Remnant Proteome Following Epithelial-Mesenchymal Transition. 致瘤性H-Ras重编程Madin-Darby犬肾(MDCK)细胞来源的中间残体蛋白质组在上皮-间质转化后。
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-01 DOI: 10.1002/pmic.70051
Adnan Shafiq, Alin Rai, Rong Xu, Maoshan Chen, Wittaya Suwakulsiri, David W Greening, Richard J Simpson
<p><p>Epithelial-mesenchymal transition (EMT) is a fundamental, dynamic cellular process involved in embryonic development, metastasis, organ fibrosis, and tissue regeneration. To define the molecular landscape of secreted midbody remnants (MBRs) to the EMT process, a proteome analysis of MBRs released from Madin-Darby canine kidney (MDCK) cells and following oncogenic H-Ras transformation (21D1 cells) was performed. MBRs, a new class of membranous extracellular vesicle (EV) molecularly distinct from exosomes/small EVs, were purified using sequential centrifugation/buoyant density gradient centrifugation. Proteomic profiling revealed MDCK cell-MBRs reflect their epithelial origin (e.g., enriched CDH1, DSP, THBS1, OLCN, EPCAM proteins) and 21D1 cell-MBRs their oncogenic and mesenchymal phenotype (e.g., HRAS, VIM, MMP14, CDH2, WNT5A, and enriched invasive and cell motility protein networks). Validation of proteome cargo revealed key protein networks associated with the EMT process in MBRs, and conserved MBR proteome across different cell types. Prominent findings were the unique expression of the immune checkpoint protein NT5E/CD73 (ecto-5'-nucleotidase) and ser/thr kinases LIMK1/K2 in MBRs from mesenchymal cells following their oncogenic transformation, and enrichment in Wnt signaling network proteins. These data identify the core proteome of MBRs regulated during the dynamic process of EMT and cell transformation over other EV types in context of the EMT process. SUMMARY: Epithelial-to-mesenchymal transition (EMT) is a critical cell biological process that occurs during embryonic development and cancer progression. Our study describes sequential purification of secreted midbody remnants (MBRs) and exosomes/sEVs from the in vitro cell line EMT model Madin-Darby canine kidney (MDCK) cells and MDCK cells transformed with oncogenic H-Ras (21D1 cells): Proteomics identified the repertoire of enriched MDCK-MBR proteins following EMT. MBRs display a proteome profile distinct from sEVs that is enriched with factors of the centralspindlin complex (KIF23.1, KIF4A, INCENP, CEP55, PLK1) and further includes components of the mitochondrial network, cytokinesis, microtubule movement, and intercellular connection. In the context of EMT, our data reveal enriched EMT pathways in MBRs including signaling receptor binding, regulation of cell differentiation, and Wnt, VEGF, and PDGF signaling. We have validated these findings in the context of Wnt signaling in other EV types. We identify several mesenchymal-enriched networks in MBRs associated with focal adhesion, cell matrix, kinase activity, and cell shape/organization, while epithelial-derived MBRs show enriched networks predominantly associated with mitochondrial (processing/transport), midbody, and plasma membrane annotation. Our study sheds light on the proteome architecture of MBRs following oncogenic H-Ras-induced EMT in cell transformation: collectively, our data informs ongoing efforts to delineate oncogen
上皮-间质转化(EMT)是一个基本的、动态的细胞过程,涉及胚胎发育、转移、器官纤维化和组织再生。为了确定EMT过程中分泌的中体残留物(MBRs)的分子景观,对Madin-Darby犬肾(MDCK)细胞和致癌H-Ras转化后(21D1细胞)释放的MBRs进行了蛋白质组学分析。mbr是一类分子上不同于外泌体/小外泌体的膜性细胞外囊泡(EV),采用顺序离心/浮力密度梯度离心纯化。蛋白质组学分析显示MDCK细胞mbr反映了它们的上皮来源(例如,富集的CDH1、DSP、THBS1、OLCN、EPCAM蛋白),而21D1细胞mbr反映了它们的致癌和间质表型(例如,HRAS、VIM、MMP14、CDH2、WNT5A,以及富集的侵袭性和细胞运动蛋白网络)。蛋白质组货物的验证揭示了MBR中与EMT过程相关的关键蛋白质网络,以及不同细胞类型中保守的MBR蛋白质组。突出的发现是免疫检查点蛋白NT5E/CD73(外5′-核苷酸酶)和丝氨酸/丝氨酸激酶LIMK1/K2在间充质细胞的mbr中致癌转化后的独特表达,以及Wnt信号网络蛋白的富集。这些数据确定了在EMT动态过程中调控的mbr的核心蛋白质组,以及在EMT过程中对其他EV类型的细胞转化。上皮-间充质转化(Epithelial-to-mesenchymal transition, EMT)是发生在胚胎发育和癌症进展过程中的一个关键细胞生物学过程。我们的研究描述了从体外细胞系EMT模型Madin-Darby犬肾(MDCK)细胞和经致癌H-Ras转化的MDCK细胞(21D1细胞)中连续纯化分泌的中间体残留物(mbr)和外泌体/ sev:蛋白质组学鉴定了EMT后富集的MDCK- mbr蛋白库。mbr显示出与sev不同的蛋白质组谱,其富含中央纺锤蛋白复合物(KIF23.1, KIF4A, INCENP, CEP55, PLK1)的因子,并进一步包括线粒体网络,细胞分裂,微管运动和细胞间连接的成分。在EMT的背景下,我们的数据揭示了mbr中丰富的EMT通路,包括信号受体结合、细胞分化调节以及Wnt、VEGF和PDGF信号传导。我们已经在其他EV类型的Wnt信号的背景下验证了这些发现。我们在MBRs中发现了几个与局灶黏附、细胞基质、激酶活性和细胞形状/组织相关的间充质富集网络,而上皮来源的MBRs则显示了主要与线粒体(加工/运输)、中间体和质膜注释相关的富集网络。我们的研究揭示了h - ras诱导的EMT在细胞转化过程中致癌mbr的蛋白质组结构:总的来说,我们的数据为正在进行的描述癌症起始、进展和转移的致癌驱动因素的工作提供了信息。
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引用次数: 0
Chemoproteomic Profiling of Reactive Cysteines in Response to Oxidative Stress Induced by 6-Hydroxydopamine 6-羟多巴胺诱导氧化应激反应性半胱氨酸的化学蛋白质组学分析。
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-25 DOI: 10.1002/pmic.70050
Rayan Murtada, Chiho Kim, Xu-dong Wang, Youkai Yang, Yonghao Yu

Although oxidative stress is a well-established driver of neurodegeneration, it remains poorly understood as to how the global cysteine (Cys) proteome is remodeled under oxidative stress conditions. Proteins with aberrantly modified cysteines in response to oxidative stress can induce and exacerbate neurodegeneration, contributing to disorders like Alzheimer's, Parkinson's, frontotemporal dementia, and amyotrophic lateral sclerosis. In this study, we induced oxidative stress in SH-SY5Y neuronal cells by subjecting them to the neurotoxin 6-hydroxydopamine (6-OHDA). To identify proteins with altered cysteine oxidation or PTM status, we used a desthiobiotin iodoacetamide (DBIA) probe, which selectively labels cysteines with unmodified and preserved thiols. Using these unbiased chemoproteomic strategies, we identified proteins with reduced Cys reactivity to DBIA in response to 6-OHDA-induced oxidative stress. Many of these proteins are critically involved in biological processes linked to cell stress responses (e.g., mitochondrial oxidative stress and apoptosis). Furthermore, we found that two key Cys on UCHL1 (a deubiquitinase critically involved in neurodegeneration) exhibited enhanced reactivity under oxidative stress conditions. Our study defines the remodeling of the Cys proteome under 6-OHDA-induced oxidative stress conditions. Furthermore, these findings suggest potential cysteine-mediated regulatory mechanisms in response to oxidative stress, providing a valuable resource for further exploration of cysteine modifications in the context of neurodegenerative signaling.

虽然氧化应激是神经退行性变的一个公认的驱动因素,但对于氧化应激条件下全球半胱氨酸(Cys)蛋白质组如何重塑,人们仍然知之甚少。氧化应激反应中半胱氨酸异常修饰的蛋白质可诱导和加剧神经变性,导致阿尔茨海默病、帕金森病、额颞叶痴呆和肌萎缩性侧索硬化症等疾病。在本研究中,我们通过神经毒素6-羟基多巴胺(6-OHDA)诱导SH-SY5Y神经元细胞氧化应激。为了鉴定半胱氨酸氧化或PTM状态改变的蛋白质,我们使用了去硫代生物素碘乙酰胺(DBIA)探针,该探针选择性地用未修饰和保存的硫醇标记半胱氨酸。使用这些无偏倚的化学蛋白质组学策略,我们确定了在6-羟基多巴胺诱导的氧化应激下,Cys对DBIA反应性降低的蛋白质。这些蛋白质中的许多都与细胞应激反应相关的生物过程(例如,线粒体氧化应激和细胞凋亡)密切相关。此外,我们发现UCHL1(一种与神经变性密切相关的去泛素酶)上的两个关键Cys在氧化应激条件下表现出增强的反应性。我们的研究定义了6-羟色胺诱导的氧化应激条件下Cys蛋白质组的重塑。此外,这些发现提示了潜在的半胱氨酸介导的氧化应激调节机制,为进一步探索半胱氨酸修饰在神经退行性信号传导中的作用提供了宝贵的资源。
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引用次数: 0
Issue Information: Proteomics 17–18'25 期刊信息:Proteomics 17-18 '25
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/pmic.70039
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引用次数: 0
Impact of Gut Microbiome Modulating Interventions on Fecal Metabolome of Infants: A Systematic Review and Quality Assessment 肠道微生物组调节干预对婴儿粪便代谢组的影响:系统评价和质量评估
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/pmic.70047
Gaute Hovde Bø, Rolf Simon Härmä, Claus Klingenberg, Veronika Kuchařová Pettersen

The following article for this Special Issue was published in an earlier Issue.

G. H. Bø, R. S. Härmä, C. Klingenberg, V. Kuchařová Pettersen, (2025). Impact of Gut Microbiome Modulating Interventions on Fecal Metabolome of Infants: A Systematic Review and Quality Assessment. Proteomics. 25, e202400150, https://doi.org/10.1002/pmic.202400150. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400150

本特刊的以下文章发表在以前的一期上。G. H. boø, R. S. Härmä, C. Klingenberg, V. Kuchařová Pettersen,(2025)。肠道微生物组调节干预对婴儿粪便代谢组的影响:系统评价和质量评估。蛋白质组学,25,e202400150, https://doi.org/10.1002/pmic.202400150。https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400150
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引用次数: 0
Metaproteomic Profiling of the Secretome of a Granule-forming Ca. Accumulibacter Enrichment 一种颗粒状积累钙杆菌富集分泌组的元蛋白质组学分析
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/pmic.70046
Berdien van Olst, Simon A. Eerden, Nella A. Eštok, Samarpita Roy, Ben Abbas, Yuemei Lin, Mark C. M. van Loosdrecht, Martin Pabst

The following article for this Special Issue was published in an earlier Issue.

B. van Olst, S. A. Eerden, N. A. Eštok et al.“ Metaproteomic Profiling of the Secretome of a Granule-forming Ca. Accumulibacter Enrichment”. Proteomic. 25 e202400189, https://doi.org/10.1002/pmic.202400189. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400189

本特刊的以下文章发表在以前的一期上。B. van Olst, S. a. Eerden, N. a. Eštok等人,“一种颗粒形成的Ca. Accumulibacter富集的分泌组的元蛋白质组学分析”。蛋白质组学,25 e202400189, https://doi.org/10.1002/pmic.202400189。https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400189
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引用次数: 0
Decoding Microbial Plastic Colonisation: Multi-Omic Insights Into the Fast-Evolving Dynamics of Early-Stage Biofilms 解码微生物塑料定植:多组学洞察早期生物膜的快速发展动态
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/pmic.70048
Charlotte E. Lee, Lauren F. Messer, Ruddy Wattiez, Sabine Matallana-Surget

The following article for this Special Issue was published in an earlier Issue.

C. E. Lee, L. F. Messer, R. Wattiez, S. Matallana-Surget, (2025). Decoding Microbial Plastic Colonisation: Multi-Omic Insights Into the Fast-Evolving Dynamics of Early-Stage Biofilms. Proteomics. 25, e202400208, https://doi.org/10.1002/pmic.202400208. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400208

本特刊的以下文章发表在以前的一期上。C. E. Lee, l.f. Messer, R. Wattiez, S. Matallana-Surget,(2025)。解码微生物塑料定植:多组学洞察早期生物膜的快速发展动态。蛋白质组学。25,e202400208, https://doi.org/10.1002/pmic.202400208。https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400208
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引用次数: 0
Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome 数据独立采集质谱法作为宏蛋白质组学的工具:使用模型微生物组的实验室间比较
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/pmic.70049

The following article for this Special Issue was published in an earlier Issue.

A. T. Rajczewski, J. Alfredo Blakeley-Ruiz, A. Meyer et al. “Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome.” Proteomics, 25, e70049, https://doi.org/10.1002/pmic.202400187. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400187

本特刊的以下文章发表在以前的一期上。a . T. Rajczewski, J. Alfredo blakley - ruiz, a . Meyer等人,“作为宏蛋白质组学工具的数据独立采集质谱:使用模型微生物组的实验室间比较。”蛋白质组学,25,e70049, https://doi.org/10.1002/pmic.202400187。https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400187
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引用次数: 0
Characterization of Cytokine Treatment on Human Pancreatic Islets by Top-Down Proteomics 自上而下蛋白质组学研究细胞因子对胰岛的作用。
IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-21 DOI: 10.1002/pmic.70044
Ashley N. Ives, Tyler J. Sagendorf, Lorenz Nierves, Tai-Tu Lin, Ercument Dirice, Rohit N. Kulkarni, Ljiljana Paša-Tolić, Wei-Jun Qian, James M. Fulcher
<div> <section> <p>Type 1 diabetes (T1D) results from autoimmune-mediated destruction of insulin-producing β cells in the pancreatic islet. This process is modulated by pro-inflammatory cytokine signaling, which has been previously shown to alter protein expression in ex vivo islets. Herein, we applied top-down proteomics to globally evaluate proteoforms from human islets treated with proinflammatory cytokines (interferon-γ and interleukin-1β). We measured 1636 unique proteoforms across six donors and two time points (control and 24 h post-treatment) and observed consistent changes in abundance across the glicentin-related pancreatic polypeptide (GRPP) and major proglucagon fragment regions of glucagon, as well as the LF-19/catestatin and vasostatin-1/2 region of chromogranin-A. We also observe several proteoforms that increase after cytokine-treatment or are exclusively observed after cytokine-treatment, including forms of beta-2 microglobulin (B2M), high-mobility group N2 protein (HMGN2), and chemokine (C-X-C motif) ligands (CXCL). Together, our quantitative results provide a baseline proteoform profile for human islets and identify several proteoforms that may serve as interesting candidate markers for T1D progression or therapeutic intervention.</p> </section> <section> <h3> Summary</h3> <div> <ul> <li> <p>This work applies a top-down proteomics workflow for the characterization and label-free quantification of proteoforms from human islets in the context of inflammation.</p> </li> <li> <p>The workflow is optimized for challenges unique to the islet proteome including high disulfide-linkage content and frequent truncation events, resulting in many proteoforms < 5kDa.</p> </li> <li> <p>There are limited examples of top-down proteomics characterization of human islets, thus this study provides a baseline characterization of the proteoforms of major hormones including chromogranin-A (CHGA), chromogranin-B/ secretogranin-1 (CHGB/SCG1), chromogranin-C/ secretogranin-2 (CHGC/SCG2), islet amyloid polypeptide (amylin/IAPP), insulin (INS), glucagon (GCG), pancreatic polypeptide prohormone (PPY), somatostatin (SST), and neurosecretory protein VGF (VGF).</p> </li> <li> <p>The quantitative results of proteoform abundances before and after cytokine treatment, which mimics the proinflammatory environment during T1D progression, provides interesting insights on how prohormone processing is altered under a proinflammatory environment.</p>
1型糖尿病(T1D)是由自身免疫介导的胰岛胰岛素生成β细胞的破坏引起的。这一过程是由促炎细胞因子信号调节的,这一信号先前已被证明可以改变体外胰岛的蛋白质表达。在此,我们应用自顶向下的蛋白质组学对促炎细胞因子(干扰素-γ和白细胞介素-1β)处理的人胰岛的蛋白质形态进行了全面评估。我们在6个供体和两个时间点(对照组和治疗后24小时)测量了1636种独特的蛋白形态,并观察到在胰高血糖素相关胰多肽(GRPP)和胰高血糖素主要前片段区域,以及嗜铬粒蛋白a的f -19/catestatin和血管抑素-1/2区域丰度的一致变化。我们还观察到一些蛋白形式在细胞因子处理后增加或仅在细胞因子处理后观察到,包括β -2微球蛋白(B2M),高迁移率组N2蛋白(HMGN2)和趋化因子(C-X-C基元)配体(CXCL)。总之,我们的定量结果提供了人类胰岛的基本蛋白质形态特征,并确定了几种可能作为T1D进展或治疗干预的有趣候选标记物的蛋白质形态。摘要:这项工作应用了自上而下的蛋白质组学工作流程,用于炎症背景下人类胰岛蛋白质形态的表征和无标记量化。该工作流程针对胰岛蛋白质组特有的挑战进行了优化,包括高二硫化物连锁含量和频繁的截断事件,导致许多蛋白质形态< 5kDa。人类胰岛自上而下蛋白质组学表征的例子有限,因此本研究提供了主要激素蛋白质形态的基线表征,包括嗜铬粒蛋白a (CHGA)、嗜铬粒蛋白b /分泌粒蛋白1 (CHGB/SCG1)、嗜铬粒蛋白c /分泌粒蛋白2 (CHGC/SCG2)、胰岛淀粉样肽(amylin/IAPP)、胰岛素(INS)、胰高血糖素(GCG)、胰腺多肽原激素(PPY)、生长抑素(SST)和神经分泌蛋白VGF (VGF)。模拟T1D进展过程中的促炎环境的细胞因子治疗前后的蛋白质形态丰度定量结果,为促炎环境下原激素加工的改变提供了有趣的见解。
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引用次数: 0
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Proteomics
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