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Updates on the study of lysosomal protein dynamics: possibilities for the clinic. 溶酶体蛋白动力学研究的最新进展:临床应用的可能性。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2023-01-01 DOI: 10.1080/14789450.2023.2190515
Dhriti Arora, Yannic Hackenberg, Jiaran Li, Dominic Winter

Introduction: The lysosome is the main degradative organelle of almost all mammalian cells, fulfilling important functions in macromolecule recycling, metabolism, and signaling. Lysosomal dysfunction is connected to a continuously growing number of pathologic conditions, and lysosomal proteins present potential biomarkers for a variety of diseases. Therefore, there is an increasing interest in their analysis in patient samples.

Areas covered: We provide an overview of OMICs studies which identified lysosomal proteins as potential biomarkers for pathological conditions, covering proteomics, genomics, and transcriptomics approaches, identified through PubMed searches. With respect to discovery proteomics analyses, mainly lysosomal luminal and associated proteins were detected, while membrane proteins were found less frequently. Comprehensive coverage of the lysosomal proteome was only achieved by ultra-deep-coverage studies, but targeted approaches allowed for the reproducible quantification of lysosomal proteins in diverse sample types.

Expert opinion: The low abundance of lysosomal proteins complicates their reproducible analysis in patient samples. Whole proteome shotgun analyses fail in many instances to cover the lysosomal proteome, which is due to under-sampling and/or a lack of sensitivity. With the current state of the art, targeted proteomics assays provide the best performance for the characterization of lysosomal proteins in patient samples.

溶酶体是几乎所有哺乳动物细胞的主要降解细胞器,在大分子循环、代谢和信号传导等方面发挥着重要作用。溶酶体功能障碍与不断增长的病理状况有关,溶酶体蛋白是多种疾病的潜在生物标志物。因此,人们对他们在患者样本中的分析越来越感兴趣。涵盖领域:我们提供了组学研究的概述,这些研究确定了溶酶体蛋白作为病理条件的潜在生物标志物,涵盖蛋白质组学,基因组学和转录组学方法,通过PubMed搜索确定。发现蛋白组学分析以溶酶体管腔蛋白和相关蛋白为主,膜蛋白较少。对溶酶体蛋白质组的全面覆盖只有通过超深度覆盖研究才能实现,但靶向方法允许在不同样品类型中对溶酶体蛋白进行可重复的定量。专家意见:溶酶体蛋白的低丰度使其在患者样本中的可重复性分析复杂化。全蛋白质组霰弹枪分析在许多情况下无法覆盖溶酶体蛋白质组,这是由于采样不足和/或缺乏灵敏度。随着目前技术的发展,靶向蛋白质组学分析为患者样品中溶酶体蛋白的表征提供了最佳性能。
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引用次数: 0
Proteomic repository data submission, dissemination, and reuse: key messages. 蛋白质组资源库数据的提交、传播和再利用:关键信息。
IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-07-01 Epub Date: 2022-12-26 DOI: 10.1080/14789450.2022.2160324
Yasset Perez-Riverol

Introduction: The creation of ProteomeXchange data workflows in 2012 transformed the field of proteomics, consisting of the standardization of data submission and dissemination and enabling the widespread reanalysis of public MS proteomics data worldwide. ProteomeXchange has triggered a growing trend toward public dissemination of proteomics data, facilitating the assessment, reuse, comparative analyses, and extraction of new findings from public datasets. By 2022, the consortium is integrated by PRIDE, PeptideAtlas, MassIVE, jPOST, iProX, and Panorama Public.

Areas covered: Here, we review and discuss the current ecosystem of resources, guidelines, and file formats for proteomics data dissemination and reanalysis. Special attention is drawn to new exciting quantitative and post-translational modification-oriented resources. The challenges and future directions on data depositions including the lack of metadata and cloud-based and high-performance software solutions for fast and reproducible reanalysis of the available data are discussed.

Expert opinion: The success of ProteomeXchange and the amount of proteomics data available in the public domain have triggered the creation and/or growth of other protein knowledgebase resources. Data reuse is a leading, active, and evolving field; supporting the creation of new formats, tools, and workflows to rediscover and reshape the public proteomics data.

简介2012年,ProteomeXchange数据工作流的创建改变了蛋白质组学领域,包括数据提交和传播的标准化,以及全球范围内公共质谱蛋白质组学数据的广泛再分析。ProteomeXchange 引发了蛋白质组学数据公开传播的趋势,促进了公共数据集的评估、再利用、比较分析和新发现的提取。到 2022 年,该联盟将由 PRIDE、PeptideAtlas、MassIVE、jPOST、iProX 和 Panorama Public 整合而成:在此,我们回顾并讨论了当前用于蛋白质组学数据传播和再分析的资源、指南和文件格式生态系统。我们将特别关注以定量和翻译后修饰为导向的新资源。此外,还讨论了数据沉积所面临的挑战和未来发展方向,包括缺乏元数据和基于云的高性能软件解决方案,无法对现有数据进行快速、可重现的再分析:ProteomeXchange 的成功以及公共领域中可获得的大量蛋白质组学数据引发了其他蛋白质知识库资源的创建和/或增长。数据再利用是一个领先、活跃和不断发展的领域;它支持创建新的格式、工具和工作流程,以重新发现和重塑公共蛋白质组学数据。
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引用次数: 0
Proteomic study of mesothelial and endothelial cross-talk: key lessons. 间皮细胞和内皮细胞串扰的蛋白质组学研究:关键教训。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-07-01 DOI: 10.1080/14789450.2023.2174851
Juan Manuel Sacnun, Rebecca Herzog, Klaus Kratochwill

Introduction: The peritoneum, pleura, and pericardium are yet understudied multicellular systems where mesothelial cells (MCs) and endothelial cells (ECs) are in close proximity. Crosstalk between these cell types likely plays role in molecular transport, immunological reactions, and metabolic processes in health, disease, and therapeutic intervention.

Areas covered: In this review, we discuss recent proteomic efforts to characterize the crosstalk between MC and EC. We describe the proteomic methods necessary for investigation of crosstalk between MC and EC, as well as the in-vitro models that can be employed. Potential experimental approaches range from conditioned medium, via co-culture on semi-permeable membranes, to 3D cell culture based organoid models. While the biological and clinical relevance of the models may increase with their ability to mimic close cell communication, the practicality of these complex experiments corresponds vice versa, making standardization more difficult and expensive.

Expert opinion: Currently, data and reports on mesothelial-to-endothelial crosstalk are still very scarce. In our opinion, the in-vitro model using semi-permeable cell culture inserts will allow to establish a basic understanding of cellular crosstalk that may occur between those cell types. Later-on, more sophisticated 3D cell cultures may be better able to simulate the transport dynamics within the peritoneal membrane.

腹膜、胸膜和心包膜是间皮细胞(MCs)和内皮细胞(ECs)距离很近的多细胞系统。这些细胞类型之间的串扰可能在分子运输、免疫反应和健康、疾病和治疗干预中的代谢过程中发挥作用。涵盖的领域:在这篇综述中,我们讨论了最近的蛋白质组学研究,以表征MC和EC之间的串扰。我们描述了研究MC和EC之间串扰所必需的蛋白质组学方法,以及可以使用的体外模型。潜在的实验方法范围从条件培养基,通过在半透膜上共同培养,到基于类器官模型的3D细胞培养。虽然这些模型的生物学和临床相关性可能会随着它们模拟近距离细胞通信的能力而增加,但这些复杂实验的实用性则相反,这使得标准化变得更加困难和昂贵。专家意见:目前,关于间皮-内皮间质串扰的数据和报道仍然非常少。在我们看来,使用半透性细胞培养插入物的体外模型将允许建立对这些细胞类型之间可能发生的细胞串扰的基本理解。随后,更复杂的3D细胞培养可能能够更好地模拟腹膜内的运输动力学。
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引用次数: 0
Rebellion of the deregulated regulators: What is the clinical relevance of studying intrinsically disordered proteins? 解除管制的监管者的反叛:研究内在无序蛋白质的临床相关性是什么?
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-07-01 DOI: 10.1080/14789450.2023.2176755
Vladimir N Uversky
Since at the molecular level, almost all physiological processes are defined by the specific activities of specific proteins or protein groups, dysfunction and deregulation of these proteins are linked to the pathogenesis of various maladies. Therefore, to get to the roots of the pathological processes and find appropriate cure for the related diseases, one should clearly know the connections between protein-centric physiology and pathology. This logic represents premises of the medical protein science, where one is looking for the connections between the ‘right’ protein structure and normal function to understand how dysfunction can be linked back to the ‘wrong’ structure and assuming that fixing such ‘wrong’ structure can serve as a means to restore a normal function and therefore cure a disease. Even though mutations in a gene encoding a culprit protein represent the major reason for this protein to gain ‘wrong’ structure, dysfunctionality can also be caused by the distortion of any means from a very broad arsenal of cellular proteostasis-related mechanisms evolved to control and regulate protein folding, structure, and function. Although for the first time, proteins were described by the Dutch chemist Gerardus Johannes Mulder (1802–1880) as enormous molecules, with empirical formula for fibrin and egg albumin being C400H620N100O120P1S1, in his 1838 paper ‘On the composition of some animal substances’ first published in French [1] and translated to German in 1839 [2], they gained serious attention of researchers only after their polypeptide nature discovered independently in 1902 by a German chemist Hermann Emil Louis Fischer (1852–1919) [3] and an early protein scientist Franz Hofmeister (1850–1922) [4] was connected to the enzymatic activity by an American chemist, James B. Sumner (1887–1955), who, in 1926, showed that the enzyme urease is a protein that can be isolated and crystallized [5]. Curiously, as early as in 1894, enzymatic activity was proposed by Emil Fischer to follow his classical ‘lock-and-key’ model [6]. This concept was eventually elaborated into the famous protein structure-function paradigm, where the amino acid sequence determines a uniquely folded 3D structure that can be visualized in the crystalline state and that, in turn, defines the unique protein function [7]. As a result, in most of the almost 185 years of their history (and definitely since 1894), proteins were equated to enzymes, being considered as biological catalysts, while many other functions of these biological macromolecules and their intriguing potential to be multifunctional were mostly ignored.
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引用次数: 1
Advances in phosphoproteomics and its application to COPD. 磷酸蛋白质组学研究进展及其在COPD中的应用。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-07-01 DOI: 10.1080/14789450.2023.2176756
Xiaoyin Zeng, Yanting Lan, Jing Xiao, Longbo Hu, Long Tan, Mengdi Liang, Xufei Wang, Shaohua Lu, Tao Peng, Fei Long

Introduction: Chronic obstructive pulmonary disease (COPD) was the third leading cause of global death in 2019, causing a huge economic burden to society. Therefore, it is urgent to identify specific phenotypes of COPD patients through early detection, and to promptly treat exacerbations. The field of phosphoproteomics has been a massive advancement, compelled by the developments in mass spectrometry, enrichment strategies, algorithms, and tools. Modern mass spectrometry-based phosphoproteomics allows understanding of disease pathobiology, biomarker discovery, and predicting new therapeutic modalities.

Areas covered: In this article, we present an overview of phosphoproteomic research and strategies for enrichment and fractionation of phosphopeptides, identification of phosphorylation sites, chromatographic separation and mass spectrometry detection strategies, and the potential application of phosphorylated proteomic analysis in the diagnosis, treatment, and prognosis of COPD disease.

Expert opinion: The role of phosphoproteomics in COPD is critical for understanding disease pathobiology, identifying potential biomarkers, and predicting new therapeutic approaches. However, the complexity of COPD requires the more comprehensive understanding that can be achieved through integrated multi-omics studies. Phosphoproteomics, as a part of these multi-omics approaches, can provide valuable insights into the underlying mechanisms of COPD.

慢性阻塞性肺疾病(COPD)是2019年全球第三大死亡原因,给社会造成了巨大的经济负担。因此,通过早期发现来识别COPD患者的特定表型,并及时治疗加重是当务之急。由于质谱、富集策略、算法和工具的发展,磷酸化蛋白质组学领域已经取得了巨大的进步。以现代质谱为基础的磷蛋白质组学可以理解疾病的病理生物学、生物标志物的发现和预测新的治疗方式。涉及领域:在这篇文章中,我们概述了磷酸化蛋白质组学的研究和磷酸化肽的富集和分离策略,磷酸化位点的鉴定,色谱分离和质谱检测策略,以及磷酸化蛋白质组学分析在COPD疾病的诊断、治疗和预后中的潜在应用。专家意见:磷蛋白组学在COPD中的作用对于理解疾病病理生物学、识别潜在的生物标志物和预测新的治疗方法至关重要。然而,COPD的复杂性需要更全面的了解,这可以通过综合多组学研究来实现。磷蛋白组学作为这些多组学方法的一部分,可以为COPD的潜在机制提供有价值的见解。
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引用次数: 0
Oncoproteomic profiling of AML: moving beyond genomics. AML的肿瘤蛋白质组学分析:超越基因组学。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-07-01 DOI: 10.1080/14789450.2023.2176757
Sunil K Joshi, Cristina E Tognon, Brian J Druker, Karin D Rodland
Much of what is known about protein-signaling networks in cancer, or ‘oncoproteomics,’ has been indirectly derived from transcriptomic analyses[1],[2]. However, RNA regulation precludes a one-to-one correlation of mRNA abundance to protein abundance or activity. A corollary of this is that evaluation of RNA by itself is insufficient to fully appreciate pathogenic cellular signaling within the tumor ecosystem. Global proteomics and phosphoproteomics have emerged as powerful unbiased methodologies for detailing fundamental signaling networks of cancer cells and perturbations that sustain resistance against targeted therapies, contributing to the discovery of new therapeutic targets[3]. Similar to other cancers, the utility of mass spectrometrybased technologies has augmented our ability to categorize the underlying heterogeneity in acute myeloid leukemia (AML) – expanding our capacity to classify AML beyond genomic features alone. Efforts over the past decade have resulted in the creation of new datasets that have begun to characterize the AML proteome and phosphoproteome. A subset of these studies have been exploratory in nature [4–9] – leading to the generation of new hypotheses, while others have focused on examining particular aspects of a disease state (e.g. drug resistance) to identify new biomarkers. These data provide a rich resource for further investigations aimed at mapping the ‘post-genomic’ landscape of AML (Table 1). Within this editorial, we discuss how integration and aggregation of such data with our current understanding of the AML genome and transcriptome holds the promise of refining our classification of leukemia cells – the genotype and phenotype – and yielding mechanistic insights that can inform the generation of improved therapeutic combinations. Casado et al. profiled the proteome and phosphoproteome of primary AML cells from 30 patients and the aggregation of these datasets with corresponding genomic, immunophenotypic, and pharmacologic analyses was among the first studies to infer that cell differentiation state influences kinase signaling changes and drug sensitivity profiles[4]. The authors also showed that FLT3 mutation status alone was insufficient to predict response to the FDA-approved inhibitor midostaurin and that increased activation of PKCδ and GSK3A in AML cells, as revealed by phosphoproteomics, correlated with midostaurin response[4]. Early attempts to integrate proteomic, genomic, and/or transcriptomic datasets have expanded our ability to categorize the small sub-populations of leukemic stem cells (LSCs) that govern the underlying heterogeneity and complexity of AML[5] and our understanding of the nuclear proteome in the pathogenesis of AML[6]. More recently, Jayavelu et al. identified five AML subtypes with distinct biological features via proteomic characterization of 252 AML patient samples[7]. Integration of these data with corresponding genomic, cytogenetic, and transcriptomic analyses revealed that t
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引用次数: 0
13th annual symposium of the Canadian National Proteomics Network. 第13届加拿大国家蛋白质组学网络年会。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-04-01 DOI: 10.1080/14789450.2022.2158815
Jennifer Geddes-McAlister, David C Schriemer

The 13th annual Canadian National Proteomics Network was held in May 2022 in Montreal, Quebec, Canada. More than 175 individuals participated in this dynamic and productive meeting either in-person or virtually. A pre-symposium organized by trainees and dedicated to highlighting the best and brightest emerging talent in proteomics across Canada preceded the main symposium, which welcomed plenary and invited speakers from around the world. The presentations covering ground-breaking science were interspersed with critical discussions on improving equity, diversity, and inclusion within the proteomics community across Canada, along with important networking opportunities for early-career researchers.

第13届加拿大国家蛋白质组学网络年会于2022年5月在加拿大魁北克省蒙特利尔举行。超过175人参加了这个充满活力和富有成效的会议,无论是面对面的还是虚拟的。在主要研讨会之前,由学员组织的一个预研讨会,致力于突出加拿大蛋白质组学领域最优秀和最聪明的新兴人才,欢迎来自世界各地的全体会议和特邀演讲者。在涵盖突破性科学的演讲中,穿插着关于提高加拿大蛋白质组学社区的公平性、多样性和包容性的关键讨论,以及为早期职业研究人员提供重要的交流机会。
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引用次数: 0
Can spatially resolved metabolomics uncover weak points in tumors? 空间分解代谢组学能揭示肿瘤的弱点吗?
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-04-01 DOI: 10.1080/14789450.2023.2176754
Zhen Ning, Guowang Xu
The complexity and diversity derived from genetics and evolution lead to tumor heterogeneity. The spatial and temporal evolution of tumor heterogeneity during tumor development results in the dynamic reprogramming of the tumor microenvironment (TME) [1]. Over the last decade, technological developments from bulk genome to single-cell sequencing have provided us with ever-more powerful tool to investigate what happens in TME [2]. Since reprogrammed energy metabolism is one of the hallmarks of cancer, metabolomics may provide a new direction for shedding light on the interactions between small molecules (mainly molecules with molecular weight less than 2000 Da) and other biomolecules in tumors. However, traditional metabolomics cannot give spatiallyrelated information unless combined with spatially resolved sampling, but revealing the metabolic reprogramming characteristics of TME and clarifying the targeting heterogeneity of antitumor drugs rely on the spatial information of metabolites or small molecule drugs. Thus, the advent of spatial metabolomics provides an opportunity to detect molecular localization based on the relative abundance of molecules and to directly correlate changes in small molecules with anatomical features. In other words, spatial metabolomics is oriented to reveal the spatial distribution and variation of metabolites [3]. Most of spatially resolved metabolomics combine ionization techniques with label-free, high-throughput mass spectrometry imaging (MSI) to obtain information on the spatial distribution of metabolites. In addition, laser capture microdissection technique combined with mass spectrometry detection is also one of the research directions in spatial metabolomics, it can select the area of interest for detailed study. Developments in MSI now make it possible to directly observe metabolic changes in tissues, even in single cells. To date, most spatial metabolomics techniques are based on matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) or desorption electrospray ionization mass spectrometry imaging (DESI-MSI), both of which are constantly being improved [4]. In recent years, spatially resolved metabolomics has reaped a series of groundbreaking insights in the fields of metabolic heterogeneity of tumors, rapid diagnosis (including tumor boundary determination), metabolic typing, targeting efficiency of antitumor drugs, and efficacy assessment by obtaining information on the distribution of metabolites and smallmolecule drugs in TME (Figure 1). The development of spatially resolved metabolomics technologies will help open the black box of TME and provide new opportunities for precision treatment of tumors.
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引用次数: 0
Proteomics and phosphoproteomics analysis of tissues for the reoccurrence prediction of colorectal cancer. 组织蛋白质组学和磷酸化蛋白质组学分析预测结直肠癌复发。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-04-01 DOI: 10.1080/14789450.2022.2142566
Liyun Ji, Zeyuan Wang, Yin Ji, Huiyu Wang, Miao Guo, Lu Zhang, Peng Wang, Hua Xiao

Background: Many stage II/III colorectal cancer (CRC) patients may relapse after routine treatments. Aberrant phosphorylation can regulate pathophysiological processes of tumors, and finding characteristic protein phosphorylation is an efficient approach for the prediction of CRC relapse.

Research design and methods: We compared the tissue proteome and phosphoproteome of stage II/III CRC patients between the relapsed group (n = 5) and the non-relapsed group (n = 5). Phosphopeptides were enriched with Ti4+-IMAC material. We utilized label-free quantification-based proteomics to screen differentially expressed proteins and phosphopeptides between the two groups. Gene Ontology (GO) analysis and Ingenuity Pathway Analysis (IPA) were used for bioinformatics analysis.

Results: The immune response of the relapsed group (Z-score -2.229) was relatively poorer than that of the non-relapsed group (Z-score 1.982), while viability of tumor was more activated (Z-score 2.895) in the relapsed group, which might cause increased relapse risk. The phosphorylation degrees of three phosphosites (phosphosite 1362 of TP53BP1, phosphosite 809 of VCL and phosphosite 438 of STK10) might be reliable prognostic biomarkers.

Conclusions: Some promising proteins and phosphopeptides were discovered to predict the relapse risk in postoperative follow-ups.

背景:许多II/III期结直肠癌(CRC)患者在常规治疗后可能复发。异常磷酸化可以调节肿瘤的病理生理过程,发现特异性磷酸化蛋白是预测结直肠癌复发的有效途径。研究设计和方法:比较复发组(n = 5)和非复发组(n = 5) II/III期CRC患者的组织蛋白质组和磷酸化蛋白质组。磷酸肽富集Ti4+-IMAC物质。我们利用无标记的基于定量的蛋白质组学来筛选两组之间差异表达的蛋白质和磷酸肽。生物信息学分析采用基因本体(GO)分析和独创性途径分析(IPA)。结果:复发组(z评分-2.229)的免疫应答相对于非复发组(z评分1.982)差,而复发组肿瘤活力更活跃(z评分2.895),可能导致复发风险增加。三个磷酸化位点(TP53BP1的1362磷酸化位点、VCL的809磷酸化位点和STK10的438磷酸化位点)的磷酸化程度可能是可靠的预后生物标志物。结论:在术后随访中发现了一些有希望预测复发风险的蛋白和磷酸肽。
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引用次数: 0
The role of E3 ubiquitin ligase in multiple myeloma: potential for cereblon E3 ligase modulators in the treatment of relapsed/refractory disease. E3泛素连接酶在多发性骨髓瘤中的作用:小脑E3连接酶调节剂治疗复发/难治性疾病的潜力
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-04-01 DOI: 10.1080/14789450.2022.2142564
Paul G Richardson, María-Victoria Mateos, Annette J Vangsted, Karthik Ramasamy, Niels Abildgaard, P Joy Ho, Hang Quach, Nizar J Bahlis

Introduction: Insights into the mechanisms of protein homeostasis and proteasomal degradation have led to new strategies of redirecting the ubiquitin-proteasome system (UPS) to reduce or eliminate proteins or survival factors key to malignant pathobiology, multiple myeloma (MM) in particular. These strategies have enabled researchers to target proteins that were previously considered difficult to modulate by pharmacological means.

Areas covered: This review provides a brief overview of UPS biology, particularly the role of the CRL4CRBN E3 ubiquitin ligase complex, and summarizes current strategies for co-opting the UPS, including CELMoD compounds, SNIPERs, PROTACs, and degronimids. A detailed discussion is provided on lead CELMoD compounds iberdomide and mezigdomide, which are currently being evaluated in clinical trials in patients with MM.

Expert opinion: Since a high proportion of patients develop drug resistance, it is vital to have novel therapeutic agents for treating relapsed patients with MM more effectively. It is encouraging that the expanding pathophysiological insight into cellular signaling pathways in MM increasingly translates into the development of novel therapeutic agents such as targeted protein degraders. This holds promise for improving outcomes in MM and beyond.

导读:对蛋白质稳态和蛋白酶体降解机制的深入了解已经导致了重定向泛素-蛋白酶体系统(UPS)以减少或消除恶性病理生物学,特别是多发性骨髓瘤(MM)关键的蛋白质或生存因子的新策略。这些策略使研究人员能够靶向以前被认为难以通过药理学手段调节的蛋白质。涵盖领域:本综述简要概述了UPS生物学,特别是CRL4CRBN E3泛素连接酶复合物的作用,并总结了目前使用UPS的策略,包括CELMoD化合物、SNIPERs、PROTACs和degronimids。详细讨论了CELMoD先导化合物伊伯多胺和美西多胺,目前正在MM患者的临床试验中进行评估。专家意见:由于高比例的患者产生耐药性,因此寻找新的治疗药物更有效地治疗复发MM患者至关重要。令人鼓舞的是,对MM细胞信号通路的病理生理学深入研究越来越多地转化为新型治疗剂的开发,如靶向蛋白质降解剂。这有望改善MM和其他方面的结果。
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引用次数: 1
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Expert Review of Proteomics
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