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On the potential of micro-flow LC-MS/MS in proteomics. 微流LC-MS/MS技术在蛋白质组学研究中的应用前景。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-03-01 DOI: 10.1080/14789450.2022.2134780
Yangyang Bian, Chunli Gao, Bernhard Kuster

Introduction: Due to its excellent sensitivity, nano-flow liquid chromatography tandem mass spectrometry (LC-MS/MS) is the mainstay in proteome research; however, this comes at the expense of limited throughput and robustness. In contrast, micro-flow LC-MS/MS enables high-throughput, robustness, quantitative reproducibility, and precision while retaining a moderate degree of sensitivity. Such features make it an attractive technology for a wide range of proteomic applications. In particular, large-scale projects involving the analysis of hundreds to thousands of samples.

Areas covered: This review summarizes the history of chromatographic separation in discovery proteomics with a focus on micro-flow LC-MS/MS, discusses the current state-of-the-art, highlights advances in column development and instrumentation, and provides guidance on which LC flow best supports different types of proteomic applications.

Expert opinion: Micro-flow LC-MS/MS will replace nano-flow LC-MS/MS in many proteomic applications, particularly when sample quantities are not limited and sample cohorts are large. Examples include clinical analyses of body fluids, tissues, drug discovery and chemical biology investigations, plus systems biology projects across all kingdoms of life. When combined with rapid and sensitive MS, intelligent data acquisition, and informatics approaches, it will soon become possible to analyze large cohorts of more than 10,000 samples in a comprehensive and fully quantitative fashion.

纳米流液相色谱串联质谱(LC-MS/MS)由于其优异的灵敏度,是蛋白质组学研究的主流;然而,这是以有限的吞吐量和健壮性为代价的。相比之下,微流LC-MS/MS具有高通量、稳健性、定量重现性和精度,同时保持适度的灵敏度。这些特点使其成为一种有吸引力的技术,用于广泛的蛋白质组学应用。特别是涉及分析数百到数千个样本的大型项目。本综述总结了发现蛋白质组学色谱分离的历史,重点是微流LC-MS/MS,讨论了当前最先进的技术,重点介绍了色谱柱开发和仪器的进展,并提供了LC流最佳支持不同类型蛋白质组学应用的指导。专家意见:微流LC-MS/MS将在许多蛋白质组学应用中取代纳米流LC-MS/MS,特别是在样品数量不受限制和样品队列很大的情况下。例子包括体液、组织的临床分析、药物发现和化学生物学研究,以及跨越所有生命领域的系统生物学项目。当与快速灵敏的质谱、智能数据采集和信息学方法相结合时,很快就可以以全面和充分定量的方式分析超过10,000个样本的大型队列。
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引用次数: 15
Cutaneous leishmaniasis: multiomics approaches to unravel the role of immune cells checkpoints. 皮肤利什曼病:多组学方法揭示免疫细胞检查点的作用。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-03-01 DOI: 10.1080/14789450.2022.2131545
Yasaman Taslimi, Nasrin Masoudzadeh, Fariborz Bahrami, Sima Rafati

Introduction: Cutaneous leishmaniasis (CL) is the most frequent form of leishmaniases, associated with skin inflammation and ulceration. Understanding the interaction of different phagocytic cells in the recognition and uptake of different Leishmania species is critical for controlling the infection. Phagocytic cells have a pivotal role as professional antigen-presenting cells that bridge the innate and adaptive immunity and shape the outcome of the disease.

Areas covered: Here we reviewed new technologies with high-throughput data collection capabilities along with systems biology approaches which are recently being used to decode the paradox of CL immunology.

Expert opinion: We emphasized on the crosstalk between DC and T-cells while focusing on the immune checkpoints interactions between the human immune system and the Leishmania species. Further, we discussed omics technologies including bulk RNA sequencing, reverse transcriptase-multiplex ligation dependent probe amplification (RT-MLPA), and proximity extension assay (PEA) in studies on human blood or tissue-driven samples from CL patients in which we have so far been involved.

皮肤利什曼病(CL)是最常见的利什曼病,与皮肤炎症和溃疡有关。了解不同吞噬细胞在识别和摄取不同利什曼原虫物种中的相互作用对控制感染至关重要。吞噬细胞作为专业抗原呈递细胞,在先天免疫和适应性免疫之间架起桥梁,形成疾病的结果。涉及领域:在这里,我们回顾了具有高通量数据收集能力的新技术以及最近用于解码CL免疫学悖论的系统生物学方法。专家意见:我们强调DC和t细胞之间的串扰,同时关注人类免疫系统和利什曼原虫物种之间的免疫检查点相互作用。此外,我们还讨论了组学技术,包括大量RNA测序、逆转录酶-多重连接依赖探针扩增(RT-MLPA)和邻近扩展测定(PEA),这些技术在我们迄今为止参与的CL患者的人类血液或组织驱动样本的研究中。
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引用次数: 0
Role of structural disorder in the multi-functionality of flavivirus proteins. 结构紊乱在黄病毒蛋白多功能性中的作用。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-03-01 DOI: 10.1080/14789450.2022.2085563
Shivani Krishna Kapuganti, Aparna Bhardwaj, Prateek Kumar, Taniya Bhardwaj, Namyashree Nayak, Vladimir N Uversky, Rajanish Giri

Introduction: The life cycle of a virus involves interacting with the host cell, entry, hijacking host machinery for viral replication, evading the host's immune system, and releasing mature virions. However, viruses, being small in size, can only harbor a genome large enough to code for the minimal number of proteins required for the replication and maturation of the virions. As a result, many viral proteins are multifunctional machines that do not directly obey the classic structure-function paradigm. Often, such multifunctionality is rooted in intrinsic disorder that allows viral proteins to interact with various cellular factors and remain functional in the hostile environment of different cellular compartments.

Areas covered: This report covers the classification of flaviviruses, their proteome organization, and the prevalence of intrinsic disorder in the proteomes of different flaviviruses. Further, we have summarized the speculations made about the apparent roles of intrinsic disorder in the observed multifunctionality of flaviviral proteins.

Expert opinion: Small sizes of viral genomes impose multifunctionality on their proteins, which is dependent on the excessive usage of intrinsic disorder. In fact, intrinsic disorder serves as a universal functional tool, weapon, and armor of viruses and clearly plays an important role in their functionality and evolution.

病毒的生命周期包括与宿主细胞相互作用、进入宿主细胞、劫持宿主机器进行病毒复制、逃避宿主免疫系统和释放成熟病毒粒子。然而,由于病毒体积小,它只能拥有足够大的基因组来编码病毒粒子复制和成熟所需的最少数量的蛋白质。因此,许多病毒蛋白是多功能机器,并不直接服从经典的结构-功能范式。通常,这种多功能性根植于内在的紊乱,这种紊乱允许病毒蛋白与各种细胞因子相互作用,并在不同细胞区室的敌对环境中保持功能。涵盖领域:本报告涵盖了黄病毒的分类,它们的蛋白质组组织,以及不同黄病毒蛋白质组内在紊乱的流行。此外,我们还总结了有关内在紊乱在观察到的黄病毒蛋白多功能性中明显作用的推测。专家意见:小尺寸的病毒基因组使其蛋白质具有多功能性,这依赖于过度使用内在紊乱。事实上,内在紊乱是病毒的通用功能工具、武器和盔甲,显然在病毒的功能和进化中起着重要作用。
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引用次数: 2
Unraveling the complexity of the extracellular vesicle landscape with advanced proteomics 用先进的蛋白质组学揭示细胞外囊泡景观的复杂性
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2052849
J. Morales-Sanfrutos, J. Muñoz
ABSTRACT Introduction The field of extracellular vesicles (EVs) is rapidly advancing. This progress is fueled by the applications of these agents as biomarkers and also as an attractive source to encapsulate therapeutics. Areas covered Different types of EVs, including exosomes, and other nanoparticles have been identified with key regulatory functions in cell–cell communication. However, the techniques used for their purification possess inherent limitations, resulting in heterogeneous preparations contaminated by other EVs subtypes and nano-size structures. It is therefore urgent to deconvolute the molecular constituents present in each type of EVs in order to accurately ascribe their specific functions. In this context, proteomics can profile, not only the lumen proteins and surface markers, but also their post-translational modifications, which will inform on the mechanisms of cargo selection and sorting. Expert opinion Mass spectrometry-based proteomics is now a mature technique and has started to deliver new insights in the EV field. Here, we review recent developments in sample preparation, mass spectrometry (MS) and computational analysis and discuss how these advances, in conjunction with improved purification protocols, could impact thecharacterization of the complex landscape of EVs and other secreted nanoparticles.
细胞外囊泡(EVs)领域正在迅速发展。这一进展是由这些药物作为生物标志物的应用以及作为封装治疗药物的有吸引力的来源而推动的。不同类型的ev,包括外泌体和其他纳米颗粒已被确定在细胞-细胞通讯中具有关键的调节功能。然而,用于其纯化的技术具有固有的局限性,导致非均质制剂被其他ev亚型和纳米级结构污染。因此,迫切需要解卷积存在于每种类型的电动汽车中的分子成分,以便准确地归因于它们的特定功能。在这种情况下,蛋白质组学不仅可以分析管腔蛋白和表面标记物,还可以分析它们的翻译后修饰,这将为货物选择和分选机制提供信息。基于质谱的蛋白质组学现在是一项成熟的技术,并开始在EV领域提供新的见解。在这里,我们回顾了样品制备、质谱分析和计算分析方面的最新进展,并讨论了这些进展如何与改进的纯化方案相结合,影响电动汽车和其他分泌纳米颗粒复杂景观的表征。
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引用次数: 6
Proteomic approaches for untangling pharmacological targets in acute myelogenous leukemia 蛋白质组学方法解结急性髓性白血病的药理学靶点
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2067530
H. Reikvam, A. Hemsing, M. Hernandez-Valladares, E. Birkeland
Acute myelogenous leukemia (AML) is a highly malignant disease of the blood and bone marrow [1]. A block in differentiation in normal hematopoiesis leads to accumulation of immature cells that compromise normal bone marrow function, resulting in severe bone marrow failure [1]. The disease has a highly malignant and aggressive course, and without treatment, the disease will usually be fatal within weeks to months. In contrast to breakthroughs in treating other cancers, the progress of therapy in AML has been slow overall, although new drugs have recently entered the field [2]. Furthermore, AML represents a various disease spectrum, reflected by a myriad of cytogenetic abnormalities and genetic mutations. Although well recognized and highly predictive, they do not fully capture the degree of heterogeneities manifested clinically. Disease heterogeneity resulting from variability in leukemic cell maturation state, a large diversity of genetic aberrations among patients, and the existence of multiple disease clones within a single patient have been extensively characterized. However, despite the extensive adoption of genomic approaches in cancer research, it is widely recognized that genomics alone is insufficient to provide an accurate picture of all cellular changes and dynamic states. In contrast, mass spectrometry (MS)-based proteomics has the potential to untangle the intracellular specter of intracellular proteins and hence complement limitations of genomic approaches, advancing the discovery of a potential therapeutic and druggable protein for improving personalized treatments in AML.
急性髓性白血病(Acute myelelogenous leukemia, AML)是一种高度恶性的血液和骨髓疾病[1]。正常造血分化受阻导致未成熟细胞的积累,损害正常骨髓功能,导致严重的骨髓衰竭[1]。这种疾病具有高度恶性和侵袭性,如果不进行治疗,这种疾病通常会在几周到几个月内致命。与治疗其他癌症的突破相比,AML的治疗进展总体缓慢,尽管最近有新药进入该领域[2]。此外,AML代表了多种疾病谱系,反映了无数的细胞遗传学异常和基因突变。虽然得到了很好的认可和高度的预测,但它们并不能完全反映临床表现的异质性程度。由于白血病细胞成熟状态的可变性、患者之间遗传畸变的巨大多样性以及单个患者体内存在多个疾病克隆而导致的疾病异质性已被广泛表征。然而,尽管基因组学方法在癌症研究中被广泛采用,但人们普遍认为,仅靠基因组学不足以提供所有细胞变化和动态状态的准确图像。相比之下,基于质谱(MS)的蛋白质组学有可能解开细胞内蛋白质的细胞内阴影,从而弥补基因组方法的局限性,促进发现潜在的治疗性和可药物性蛋白质,以改善AML的个性化治疗。
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引用次数: 0
Recent developments in Phos-tag electrophoresis for the analysis of phosphoproteins in proteomics 蛋白质组学中磷酸标签电泳分析的最新进展
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2052850
H. Hirano, Jun Shirakawa
ABSTRACT Introduction Phosphate-binding tag (Phos-tag) sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) is an important development capable of analyzing the phosphorylation state of proteins. Conventionally, proteins were separated via SDS-PAGE and Phos-tag SDS-PAGE that use different gels to identify phosphorylated proteins. However, it was often difficult to compare the electrophoretic mobility of the proteins in the different gels used. The recently developed Phos-tag diagonal electrophoresis has been able to solve this problem. It can indicate the SDS-PAGE and Phos-tag SDS-PAGE patterns on a single gel; therefore, phosphorylated proteins can be distinguished easily from non-phosphorylated proteins. Areas covered This review assesses the importance of Phos-tag electrophoresis, which enables the analysis of protein phosphorylation states, in the field of proteomics. Additionally, this review describes the significance and actual experimental technique of Phos-tag diagonal electrophoresis, which was recently developed to overcome the drawbacks of Phos-tag SDS-PAGE. Expert opinion Although shotgun analysis of proteins allows detecting many phosphorylation sites, it is challenging to clarify the differences in the phosphorylation states of protein molecules using this technique. Therefore, Phos-tag SDS-PAGE is frequently used to determine the phosphorylation state of proteins. This technique has become more powerful with the recent development of Phos-tag diagonal electrophoresis. Abbreviations: BIS, N,N’-methylenebis(acrylamide); CBB, Coomassie brilliant blue R250; ESI, electrospray ionization; hnRNP, heterogeneous ribonucleoprotein K; LTQ–Orbitrap, Linear trap quadrupole–Orbitrap; LC, liquid chromatography; MS, mass spectrometry; MALDI, matrix-assisted laser desorption ionization; Phos-tag, phosphate-binding tag [1,3-bis [bis (pyridine-2-ylmethyl) amino] propane-2-olate]; SDS-PAGE, sodium dodecyl sulfate-polyacrylamide gel electrophoresis; TOF, time of flight; 2D-DIGE, fluorescence-labeled two-dimensional difference gel electrophoresis; 2-DE, two-dimensional gel electrophoresis
磷酸盐结合标签(Phos-tag)十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)是分析蛋白质磷酸化状态的重要进展。通常,通过SDS-PAGE和Phos-tag SDS-PAGE分离蛋白质,它们使用不同的凝胶来鉴定磷酸化的蛋白质。然而,通常很难比较不同凝胶中蛋白质的电泳迁移率。近年来发展起来的phos标签对角电泳技术解决了这一问题。它可以显示单个凝胶上的SDS-PAGE和Phos-tag SDS-PAGE模式;因此,磷酸化蛋白很容易与非磷酸化蛋白区分。这篇综述评估了phos标签电泳的重要性,它可以分析蛋白质磷酸化状态,在蛋白质组学领域。此外,本文还介绍了Phos-tag对角电泳的意义和实际实验技术,该技术是为了克服Phos-tag SDS-PAGE的缺点而发展起来的。专家意见尽管鸟枪法分析蛋白质可以检测到许多磷酸化位点,但使用这种技术来阐明蛋白质分子磷酸化状态的差异是具有挑战性的。因此,经常使用Phos-tag SDS-PAGE来确定蛋白质的磷酸化状态。近年来,随着磷标签对角电泳技术的发展,该技术变得更加强大。缩写:BIS, N,N ' -亚甲基双(丙烯酰胺);CBB,考马斯亮蓝R250;ESI,电喷雾电离;hnRNP,异质核糖核蛋白K;LTQ-Orbitrap,线性阱四极- orbitrap;LC,液相色谱;质谱法;MALDI:基质辅助激光解吸电离;phos标签,磷酸盐结合标签[1,3-二[二(吡啶-2-甲基)氨基]丙烷-2-酸盐];SDS-PAGE,十二烷基硫酸钠-聚丙烯酰胺凝胶电泳;TOF:飞行时间;2D-DIGE,荧光标记二维差异凝胶电泳;2-DE,二维凝胶电泳
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引用次数: 2
Proteomics of human biological fluids for biomarker discoveries: technical advances and recent applications 人类生物流体蛋白质组学的生物标志物发现:技术进步和最新应用
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2070477
L. Dayon, O. Cominetti, M. Affolter
ABSTRACT Introduction Biological fluids are routine samples for diagnostic testing and monitoring. Blood samples are typically measured because of their moderate invasive collection and high information content on health and disease. Several body fluids, such as cerebrospinal fluid (CSF), are also studied and suited to specific pathologies. Over the last two decades, proteomics has quested to identify protein biomarkers but with limited success. Recent technologies and refined pipelines have accelerated the profiling of human biological fluids. Areas covered We review proteomic technologies for the identification of biomarkers. These are based on antibodies/aptamers arrays or mass spectrometry (MS), but new ones are emerging. Advances in scalability and throughput have allowed to better design studies and cope with the limited sample size that has until now prevailed due to technological constraints. With these enablers, plasma/serum, CSF, saliva, tears, urine, and milk proteomes have been further profiled; we provide a non-exhaustive picture of some recent highlights (mainly covering literature from the last 5 years in the Scopus database) using MS-based proteomics. Expert opinion While proteomics has been in the shadow of genomics for years, proteomic tools and methodologies have reached certain maturity. They are now better suited to discover innovative and robust biofluid biomarkers.
生物体液是诊断检测和监测的常规样本。血液样本是典型的测量,因为它们的中度侵入性收集和高信息含量的健康和疾病。一些体液,如脑脊液(CSF),也被研究并适合于特定的病理。在过去的二十年里,蛋白质组学一直试图识别蛋白质生物标志物,但收效甚微。最近的技术和精炼的管道加速了人体生物流体的分析。我们回顾了用于生物标志物鉴定的蛋白质组学技术。这些方法是基于抗体/适体阵列或质谱(MS),但新的方法正在出现。在可扩展性和吞吐量方面的进步使得更好地设计研究和应对有限的样本量,这种样本量由于技术限制而一直存在。有了这些使能剂,血浆/血清、脑脊液、唾液、眼泪、尿液和牛奶蛋白质组被进一步分析;我们使用MS-based蛋白质组学提供了一些最近的亮点(主要包括Scopus数据库中最近5年的文献)的非详尽的图片。虽然多年来蛋白质组学一直处于基因组学的阴影下,但蛋白质组学的工具和方法已经达到了一定的成熟度。它们现在更适合于发现创新和强大的生物流体生物标志物。
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引用次数: 20
The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidome 机器学习和LC-MS方法的相互依赖,以公正地理解细胞免疫肽穹窿
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2064278
M. Nielsen, N. Ternette, C. Barra
ABSTRACT Introduction The comprehensive collection of peptides presented by major histocompatibility complex (MHC) molecules on the cell surface is collectively known as the immunopeptidome. The analysis and interpretation of such data sets holds great promise for furthering our understanding of basic immunology and adaptive immune activation and regulation, and for direct rational discovery of T cell antigens and the design of T-cell-based therapeutics and vaccines. These applications are, however, challenged by the complex nature of immunopeptidome data. Areas covered Here, we describe the benefits and shortcomings of applying liquid chromatography-tandem mass spectrometry (MS) to obtain large-scale immunopeptidome data sets and illustrate how the accurate analysis and optimal interpretation of such data is reliant on the availability of refined and highly optimized machine learning approaches. Expert opinion Further, we demonstrate how the accuracy of immunoinformatics prediction methods within the field of MHC antigen presentation has benefited greatly from the availability of MS-immunopeptidomics data, and exemplify how optimal antigen discovery is best performed in a synergistic combination of MS experiments and such in silico models trained on large-scale immunopeptidomics data.
由主要组织相容性复合体(MHC)分子在细胞表面呈现的肽的综合集合统称为免疫肽穹窿。对这些数据集的分析和解释对于进一步了解基本免疫学和适应性免疫激活和调节,以及直接合理地发现T细胞抗原和设计基于T细胞的疗法和疫苗具有很大的希望。然而,这些应用受到免疫肽球数据复杂性的挑战。在这里,我们描述了应用液相色谱-串联质谱(MS)获得大规模免疫肽球数据集的优点和缺点,并说明了这些数据的准确分析和最佳解释如何依赖于精炼和高度优化的机器学习方法的可用性。此外,我们展示了免疫信息学预测方法在MHC抗原提呈领域的准确性如何从MS免疫肽组学数据的可用性中受益匪浅,并举例说明了如何在MS实验和大规模免疫肽组学数据训练的计算机模型的协同结合中最好地进行最佳抗原发现。
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引用次数: 3
Characterization of anticancer drug resistance by reverse-phase protein array: new targets and strategies. 利用反相蛋白阵列表征抗癌药物耐药:新的靶点和策略。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-02-01 DOI: 10.1080/14789450.2022.2070065
Ann M Cathcart, Hannah Smith, Marilyne Labrie, Gordon B Mills

Introduction: Drug resistance is the main barrier to achieving cancer cures with medical therapy. Cancer drug resistance occurs, in part, due to adaptation of the tumor and microenvironment to therapeutic stress at a proteomic level. Reverse-phase protein arrays (RPPA) are well suited to proteomic analysis of drug resistance due to high sample throughput, sensitive detection of phosphoproteins, and validation for a large number of critical cellular pathways.

Areas covered: This review summarizes contributions of RPPA to understanding and combating drug resistance. In particular, contributions of RPPA to understanding resistance to PARP inhibitors, BRAF inhibitors, immune checkpoint inhibitors, and breast cancer investigational therapies are discussed. Articles reviewed were identified by MEDLINE, Scopus, and Cochrane search for keywords 'proteomics,' 'reverse-phase protein array,' 'drug resistance,' 'PARP inhibitor,' 'BRAF inhibitor,' 'immune checkpoint inhibitor,' and 'I-SPY' spanning October 1, 1960 - October 1, 2021.

Expert opinion: Precision oncology has thus far failed to convert the armament of targeted therapies into durable responses for most patients, highlighting that genetic sequencing alone is insufficient to guide therapy selection and overcome drug resistance. Combined genomic and proteomic analyses paired with creative drug combinations and dosing strategies hold promise for maturing precision oncology into an era of improved patient outcomes.

导读:耐药性是药物治疗癌症的主要障碍。癌症耐药的发生部分是由于肿瘤和微环境在蛋白质组水平上对治疗应激的适应。反相蛋白阵列(RPPA)由于其高样品通量、对磷酸化蛋白的灵敏检测以及对大量关键细胞途径的验证,非常适合于耐药性的蛋白质组学分析。涉及领域:本文综述了RPPA在了解和抗击耐药性方面的贡献。特别是,RPPA对了解PARP抑制剂、BRAF抑制剂、免疫检查点抑制剂和乳腺癌研究性治疗的耐药性的贡献进行了讨论。通过MEDLINE、Scopus和Cochrane检索关键词“蛋白质组学”、“逆相蛋白阵列”、“耐药性”、“PARP抑制剂”、“BRAF抑制剂”、“免疫检查点抑制剂”和“I-SPY”,检索时间跨度为1960年10月1日至2021年10月1日。专家意见:迄今为止,精确肿瘤学未能将靶向治疗的武器转化为大多数患者的持久反应,这突出表明仅靠基因测序不足以指导治疗选择和克服耐药性。结合基因组学和蛋白质组学分析,结合创造性的药物组合和给药策略,有望使成熟的精确肿瘤学进入一个改善患者预后的时代。
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引用次数: 1
Empowering women and addressing underrepresentation in the field of mass spectrometry. 赋予妇女权力,解决质谱领域代表性不足的问题。
IF 3.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2022-01-01 Epub Date: 2022-02-14 DOI: 10.1080/14789450.2022.2039631
Evelyn Rampler, Erin S Baker, Kaylie I Kirkwood, Michaela Schwaiger-Haber, Maggie Tam, Marissa A Jones, Melissa Sherman
Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria; Department of Chemistry, North Carolina State University, Raleigh, NC, USA; Department of Chemistry, Washington University in St. Louis, St. Louis, MO, USA; Science and Engineering Directorate, Canada Border Services Agency, Ottawa, ON, Canada; Biocrates Life Sciences Ag, Innsbruck, Austria; MOBILion Systems, Inc, Chadds Ford, PA, USA
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引用次数: 1
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Expert Review of Proteomics
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