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Lanthanide coordination polymers based on an aromatic dicarboxylic acid and 1,10-phenanthroline ligands: synthesis, structure and luminescence properties 基于芳香族二羧酸和 1,10-菲罗啉配体的镧系元素配位聚合物:合成、结构和发光特性
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1071/ch23149
Shu-Ju Wang, Yang Liu, Zhi-Qing Zhang, Qian Li, Gang Xiong, Li-Xin You, Yaguang Sun

A novel series of lanthanide coordination polymers (Ln-CPs) have been obtained based on mixed ligands, 2-[(4-carboxyphenyl)methoxy]benzoic acid (H2cob) and 1,10-phenanthroline (phen), namely {Ln[(Hcob)(cob)(phen)]n, Ln = La (1), Pr (2), Sm (3), Eu (4)}. Complexes 14 were characterized by single crystal X-ray diffraction, elemental analysis, powder X-ray diffraction, infrared spectroscopy and thermogravimetric analysis. Single crystal X-ray diffraction revealed that complexes 14 show two-dimensional layer structures. The luminescence properties of complexes 3 and 4 were thoroughly investigated.

基于混合配体 2-[(4-羧基苯基)甲氧基]苯甲酸(H2cob)和 1,10-菲罗啉(phen),获得了一系列新型镧系配位聚合物(Ln-CPs),即 {Ln[(Hcob)(cob)(phen)]n, Ln = La (1), Pr (2), Sm (3), Eu (4)} 。通过单晶 X 射线衍射、元素分析、粉末 X 射线衍射、红外光谱和热重分析对 1-4 号络合物进行了表征。单晶 X 射线衍射显示,络合物 1-4 显示出二维层状结构。对络合物 3 和 4 的发光特性进行了深入研究。
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引用次数: 0
A novel ratiometric fluorescent sensor based on terpyridine derivatives for Zn 2+ in aqueous solution 基于三元吡啶衍生物的水溶液中zn2 +的新型比例荧光传感器
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-11-23 DOI: 10.1071/ch23153
Qinghong Bai, Yangming Jiang, Enming Hu, Libin Lv, Chenghui Wang, Xin Xiao

Terpyridine and its derivatives have good binding affinity for most transition metal ions due to the arrangement of their three pyridine nitrogen atoms. In this work, a new ratiometric fluorescent probe G, which is based on a styrylpyridinium attached to a terpyridine fluorophore, was synthesized and characterized. The fluorescence spectrum of probe G shows a good response to Zn2+ by an intramolecular charge transfer effect. On increasing the concentration of Zn2+, the fluorescence color of probe G changes from blue to yellow. Importantly, probe G has a high selectivity for Zn2+and is not affected by other metal ions, including Cd2+. In addition, the limit of detection (LOD) of probe G for Zn2+ was found to be up to 0.17 µM. The results show that probe G has the ability to selectively recognize Zn2+ in aqueous solution.

三吡啶及其衍生物由于其三个吡啶氮原子的排列,对大多数过渡金属离子具有良好的结合亲和力。本文合成并表征了一种新型的以苯基吡啶与三吡啶荧光基团为基础的比率荧光探针G。探针G的荧光光谱显示出分子内电荷转移效应对Zn2+有很好的响应。随着Zn2+浓度的增加,探针G的荧光颜色由蓝色变为黄色。重要的是,探针G对Zn2+有很高的选择性,不受包括Cd2+在内的其他金属离子的影响。此外,探针G对Zn2+的检出限(LOD)可达0.17µM。结果表明,探针G具有选择性识别水溶液中Zn2+的能力。
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引用次数: 0
Synthesis and antibacterial activity of 6″-decanesulfonylacetamide-functionalised amphiphilic derivatives of amikacin and kanamycin 6个″-十胺磺酰乙酰胺功能化的阿米卡星和卡那霉素两亲性衍生物的合成及其抗菌活性
4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-11-13 DOI: 10.1071/ch23154
Dylan C. Farr, Lendl Tan, Juanelle Furness, I. Darren Grice, Nicholas P. West, Todd A. Houston
Aminoglycoside antibiotics represent the first class of successful drugs in the treatment of tuberculosis; however, mycobacteria and other bacterial species possess several drug resistance mechanisms to inactivate these natural products. In the past 15 years, a variety of amphiphilic aminoglycosides have been shown to have improved activity against infectious microorganisms and to subvert resistance mechanisms. Here, we report on four novel synthetic compounds derived from two existing potent antitubercular compounds and describe their activity against both Mycobacterium tuberculosis and Staphylococcus aureus. It was found that a decanesulfonylacetamide-based conjugate of amikacin displayed promising preliminary antitubercular activities, warranting further investigation to assess the therapeutic potential of these unique antimicrobials.
氨基糖苷类抗生素是治疗结核病成功的第一类药物;然而,分枝杆菌和其他细菌种类具有几种耐药机制来灭活这些天然产物。在过去的15年中,各种两亲性氨基糖苷已被证明具有提高抗感染性微生物的活性和破坏耐药机制。在这里,我们报道了从两种现有的有效抗结核化合物中衍生出的四种新的合成化合物,并描述了它们对结核分枝杆菌和金黄色葡萄球菌的活性。研究发现,以十烷磺酰乙酰胺为基础的阿米卡星缀合物显示出有希望的初步抗结核活性,需要进一步研究以评估这些独特抗菌剂的治疗潜力。
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引用次数: 0
Green synthesis of dual-spinneret electrospun polyacrylonitrile–ZnO@β-cyclodextrin–chitosan nanofibrous nanocomposite as a novel nano-biosorbent 绿色合成双喷丝网静电纺聚丙烯腈- zno @β-环糊精-壳聚糖纳米纤维复合材料作为新型纳米生物吸附剂
4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-09-27 DOI: 10.1071/ch23098
Sohrab Hajmohammadi, Dadkhoda Ghazanfari, Enayatollah Sheikhhosseini, Nahid Rastakhiz, Hamideh Asadollahzadeh
A significant range of intriguing nanomaterials includes photocatalytic and antibacterial nanocomposites, which exhibit great efficacy in water treatment. In this work, Euphorbia hebecarpa extract was used as a novel natural reducing agent to investigate the environmentally friendly production of ZnO@β-cyclodextrin (CD) nanoparticles (NPs). In the following, polyacrylonitrile, ZnO@β-CD and chitosan nanofibers were electrospun concurrently using a dual-electrospinning process to create a unique nano-biosorbent made of polyacrylonitrile (PAN)–ZnO@β-CD–chitosan (CS) nanofibrous nanocomposite. Additionally, this nanocomposite’s effectiveness as a novel photocatalyst and antibacterial agent for eliminating organic dyes like methylene blue was evaluated. Field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD) analysis, Fourier-transform infrared (FTIR) spectroscopy and Raman spectroscopy (RS) were used to analyze the structure of the nanocomposite. The outcomes verified the production of ZnO@β-CD, which had evenly shaped particles with an average size of 45 nm on the nanofibrous matrix. This nanocomposite exhibited removal efficiency of methylene blue of ~90% after 105 min at pH 7 and 2.5 g L−1 nanocomposite concentration. Furthermore, an antibacterial test revealed that PAN–ZnO@β-CD–CS nanofibrous nanocomposite with 6% ZnO showed over 80% reduction in colony-forming units per millilitre against Bacillus cereus, Staphylococcus epidermidis and Streptococcus iniae.
一系列有趣的纳米材料包括光催化和抗菌纳米复合材料,它们在水处理中表现出巨大的功效。本研究以大戟叶提取物为新型天然还原剂,研究了zno @β-环糊精纳米颗粒(NPs)的环保性制备。本文采用双静电纺丝工艺,将聚丙烯腈、ZnO@β-CD和壳聚糖纳米纤维同时进行静电纺丝,制备了一种独特的聚丙烯腈(PAN) - ZnO@β-CD -壳聚糖(CS)纳米纤维纳米复合材料。此外,该纳米复合材料作为一种新型光催化剂和抗菌剂对去除亚甲基蓝等有机染料的有效性进行了评估。采用场发射扫描电镜(FESEM)、能量色散x射线能谱(EDS)、x射线衍射(XRD)、傅里叶变换红外光谱(FTIR)和拉曼光谱(RS)分析了纳米复合材料的结构。结果证实了ZnO@β-CD在纳米纤维基体上的生成,其颗粒形状均匀,平均尺寸为45 nm。该纳米复合材料在pH为7、浓度为2.5 g L−1的条件下,对亚甲基蓝的去除率为~90%。此外,一项抗菌试验表明,含有6% ZnO的PAN-ZnO@β-CD-CS纳米纤维纳米复合材料对蜡样芽孢杆菌、表皮葡萄球菌和牛链球菌的集落形成单位每毫升减少80%以上。
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引用次数: 0
Retraction notice to &#x2018;Three Cu<sup>II</sup> and Co<sup>II</sup> coordination complexes containing tridentate schiff base moieties induce ROS generation and lead to caspase-dependent apoptotic cell death in intracranial aneurysm&#x2019; [<i>Australian Journal of Chemistry</i> (2019) doi:10.1071/CH18641] 撤稿通知&#x2018;Three Cu&lt;sup&gt;和Co&lt; sup&gt; II&lt; / sup&gt;含有三叉状希夫碱的配合物诱导ROS生成并导致颅内动脉瘤中caspase依赖性凋亡细胞死亡&#x2019;[&lt;i&gt;澳大利亚化学杂志&lt;/i&gt;(2019) doi: 10.1071 / CH18641]
4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-09-15 DOI: 10.1071/ch18641_re
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引用次数: 0
Professor Edouard Nice 爱德华·尼斯教授
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-08-11 DOI: 10.1071/ch23094
J. Wade, M. Aguilar
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引用次数: 0
<i>Corrigendum to</i>: A holistic approach towards a generalizable machine learning predictor of cell penetrating peptides &lt;/i&gt;更正&lt;/i&gt;:对细胞穿透肽的可推广机器学习预测器的整体方法
4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-08-11 DOI: 10.1071/ch22247_co
Bahaa Ismail, Sarah Jones, John Howl
The development of machine learning (ML) predictors does not necessarily require the employment of expansive classifiers and complex feature encoding schemes to achieve the highest accuracy scores. It rather requires data pre-processing, feature optimization, and robust evaluation to ensure consistent results and generalizability. Herein, we describe a multi-stage process to develop a reliable ML predictor of cell penetrating peptides (CPPs). We emphasize the challenges of: (i) the generation of representative datasets with all required pre-processing procedures; (ii) comprehensive and exclusive encoding of peptides using their amino acid composition; (iii) obtaining an optimized feature set using a simple classifier (support vector machine, SVM); (iv) ensuring consistent results; and (v) verifying generalizability at the highest achievable accuracy scores. Two peptide sub-spaces were used to generate the negative examples, which are required, along with the known CPPs, to train the classifier. These included: (i) randomly generated peptides with all amino acid types being equally represented and (ii) extracted peptides from receptor proteins. Results indicated that the randomly generated dataset performed perfectly well within its own peptide sub-space, while it poorly generalized to the other sub-space. Conversely, the dataset extracted from receptor proteins, while achieving lower accuracies, showed a perfect generalizability to the other peptide sub-space. We combined the qualities of these two datasets by utilizing the average of their predictions within our ultimate framework. This functional ML predictor, WLVCPP, and associated software and datasets can be downloaded from https://github.com/BahaaIsmail/WLVCPP.
机器学习(ML)预测器的开发并不一定需要使用扩展分类器和复杂的特征编码方案来实现最高的准确率分数。相反,它需要数据预处理、特征优化和健壮的评估,以确保一致的结果和通用性。在这里,我们描述了一个多阶段的过程,以开发一个可靠的ML预测细胞穿透肽(CPPs)。我们强调以下挑战:(i)具有所有所需预处理程序的代表性数据集的生成;(ii)利用肽的氨基酸组成对肽进行全面和独家的编码;(iii)使用简单分类器(支持向量机,SVM)获得优化的特征集;确保结果一致;(v)在可达到的最高精度分数下验证泛化性。两个肽子空间用于生成负示例,这是与已知的CPPs一起训练分类器所必需的。这些包括:(i)随机生成的肽,所有氨基酸类型都是平等的;(ii)从受体蛋白中提取的肽。结果表明,随机生成的数据集在其自身的肽子空间内表现良好,而在其他子空间的泛化效果较差。相反,从受体蛋白中提取的数据集虽然精度较低,但显示出对其他肽子空间的完美泛化性。我们将这两个数据集的质量结合起来,在我们的最终框架内利用它们预测的平均值。这个功能机器学习预测器,WLVCPP,以及相关的软件和数据集可以从<a ext-link-type="uri" href="https://github.com/BahaaIsmail/WLVCPP">https://github.com/BahaaIsmail/WLVCPP</a>下载。
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引用次数: 0
Differential membrane binding of α/β-peptide foldamers: implications for cellular delivery and mitochondrial targeting. α/β肽折叠体的差异性膜结合:细胞递送和线粒体靶向的意义。
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-08-01 Epub Date: 2023-06-14 DOI: 10.1071/ch23063
Tzong-Hsien Lee, James W Checco, Tess Malcolm, Chelcie H Eller, Ronald T Raines, Samuel H Gellman, Erinna F Lee, W Douglas Fairlie, Marie-Isabel Aguilar

The intrinsic pathway of apoptosis is regulated by the Bcl-2 family of proteins. Inhibition of the anti-apoptotic members represents a strategy to induce apoptotic cell death in cancer cells. We have measured the membrane binding properties of a series of peptides, including modified α/β-peptides, designed to exhibit enhanced membrane permeability to allow cell entry and improved access for engagement of Bcl-2 family members. The peptide cargo is based on the pro-apoptotic protein Bim, which interacts with all anti-apoptotic proteins to initiate apoptosis. The α/β-peptides contained cyclic β-amino acid residues designed to increase their stability and membrane-permeability. Dual polarisation interferometry was used to study the binding of each peptide to two different model membrane systems designed to mimic either the plasma membrane or the outer mitochondrial membrane. The impact of each peptide on the model membrane structure was also investigated, and the results demonstrated that the modified peptides had increased affinity for the mitochondrial membrane and significantly altered the structure of the bilayer. The results also showed that the presence of an RRR motif significantly enhanced the ability of the peptides to bind to and insert into the mitochondrial membrane mimic, and provide insights into the role of selective membrane targeting of peptides.

凋亡的内在途径受Bcl-2蛋白家族的调控。抑制抗凋亡成员是诱导癌症细胞凋亡的一种策略。我们测量了一系列肽的膜结合特性,包括修饰的α/β-肽,这些肽旨在表现出增强的膜渗透性,以允许细胞进入并改善Bcl-2家族成员参与的途径。肽货物基于促凋亡蛋白Bim,其与所有抗凋亡蛋白相互作用以启动细胞凋亡。α/β-肽含有环状β-氨基酸残基,旨在提高其稳定性和膜渗透性。双极化干涉测量法用于研究每种肽与两种不同模型膜系统的结合,这两种模型膜系统旨在模拟质膜或线粒体外膜。还研究了每种肽对模型膜结构的影响,结果表明,修饰的肽对线粒体膜的亲和力增加,并显著改变了双层的结构。结果还表明,RRR基序的存在显著增强了肽结合和插入线粒体膜模拟物的能力,并为肽的选择性膜靶向作用提供了见解。
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引用次数: 1
An autoantigen profile from Jurkat T-Lymphoblasts provides a molecular guide for investigating autoimmune sequelae of COVID-19 Jurkat t淋巴细胞自身抗原谱为研究COVID-19自身免疫性后遗症提供了分子指南
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-20 DOI: 10.1071/ch22268
Julia Y. Wang, Wei Zhang, Michael W. Roehrl, Victor B. Roehrl, Michael H. Roehrl

In order to understand autoimmune phenomena contributing to the pathophysiology of COVID-19 and post-COVID syndrome, we have been profiling autoantigens (autoAgs) from various cell types. Although cells share numerous autoAgs, each cell type gives rise to unique COVID-altered autoAg candidates, which may explain the wide range of symptoms experienced by patients with autoimmune sequelae of SARS-CoV-2 infection. Based on the unifying property of affinity between autoAgs and the glycosaminoglycan dermatan sulfate (DS), this paper reports 140 candidate autoAgs identified from proteome extracts of human Jurkat T-cells, of which at least 105 (75%) are known targets of autoantibodies. Comparison with currently available multi-omic COVID-19 data shows that 125 (89%) DS-affinity proteins are altered at protein and/or RNA levels in SARS-CoV-2-infected cells or patients, with at least 94 being known autoAgs in a wide spectrum of autoimmune diseases and cancer. Protein alterations by ubiquitination and phosphorylation during the viral infection are major contributors of autoAgs. The autoAg protein network is significantly associated with cellular response to stress, apoptosis, RNA metabolism, mRNA processing and translation, protein folding and processing, chromosome organization, cell cycle, and muscle contraction. The autoAgs include clusters of histones, CCT/TriC chaperonin, DNA replication licensing factors, proteasome and ribosome proteins, heat shock proteins, serine/arginine-rich splicing factors, 14-3-3 proteins, and cytoskeletal proteins. AutoAgs, such as LCP1 and NACA, that are altered in the T cells of COVID patients may provide insight into T-cell responses to viral infection and merit further study. The autoantigen-ome from this study contributes to a comprehensive molecular map for investigating acute, subacute, and chronic autoimmune disorders caused by SARS-CoV-2.

为了了解参与COVID-19和COVID-19后综合征病理生理的自身免疫现象,我们对来自不同细胞类型的自身抗原(autoAgs)进行了分析。尽管细胞共享许多自身抗原,但每种细胞类型都会产生独特的covid - 19改变的自身抗原候选物,这可能解释了SARS-CoV-2感染自身免疫性后遗症患者所经历的广泛症状。基于autoAgs与皮肤聚糖硫酸糖胺聚糖(DS)的亲和性,本文报道了从人Jurkat t细胞蛋白质组提取物中鉴定出的140个候选autoAgs,其中至少105个(75%)是已知的自身抗体靶点。与目前可获得的多组学COVID-19数据的比较显示,在sars - cov -2感染的细胞或患者中,125种(89%)ds亲和蛋白在蛋白质和/或RNA水平上发生了改变,其中至少94种是在广泛的自身免疫性疾病和癌症中已知的自ags。病毒感染过程中泛素化和磷酸化引起的蛋白质改变是自ags产生的主要原因。autoAg蛋白网络与细胞对应激、凋亡、RNA代谢、mRNA加工和翻译、蛋白质折叠和加工、染色体组织、细胞周期和肌肉收缩的反应密切相关。自ags包括组蛋白簇、CCT/TriC伴蛋白、DNA复制许可因子、蛋白酶体和核糖体蛋白、热休克蛋白、富含丝氨酸/精氨酸的剪接因子、14-3-3蛋白和细胞骨架蛋白。在新冠肺炎患者的T细胞中发生改变的自ags,如LCP1和NACA,可能有助于了解T细胞对病毒感染的反应,值得进一步研究。本研究的自身抗原组为研究SARS-CoV-2引起的急性、亚急性和慢性自身免疫性疾病提供了全面的分子图谱。
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引用次数: 0
An autoantigen-ome from HS-Sultan B-Lymphoblasts offers a molecular map for investigating autoimmune sequelae of COVID-19 来自HS-Sultan b淋巴母细胞的自身抗原组为研究COVID-19自身免疫性后遗症提供了分子图谱
IF 1.1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-19 DOI: 10.1071/ch22267
Julia Y. Wang, Wei Zhang, Victor B. Roehrl, Michael W. Roehrl, Michael H. Roehrl

To understand how COVID-19 may induce autoimmune diseases, we have been compiling an atlas of COVID autoantigens (autoAgs). Using dermatan sulfate (DS) affinity enrichment of autoantigenic proteins extracted from HS-Sultan lymphoblasts, we identified 362 DS-affinity proteins, of which at least 201 (56%) are confirmed autoAgs. Comparison with available multi-omic COVID data shows that 315 (87%) of the 362 proteins are affected in SARS-CoV-2 infection via altered expression, interaction with viral components, or modification by phosphorylation or ubiquitination, at least 186 (59%) of which are known autoAgs. These proteins are associated with gene expression, mRNA processing, mRNA splicing, translation, protein folding, vesicles, and chromosome organization. Numerous nuclear autoAgs were identified, including both classical antinuclear antibodies (ANAs) and extractable nuclear antigens (ENAs) of systemic autoimmune diseases and unique autoAgs involved in the DNA replication fork, mitotic cell cycle, or telomerase maintenance. We also identified many uncommon autoAgs involved in nucleic acid and peptide biosynthesis and nucleocytoplasmic transport, such as aminoacyl-tRNA synthetases. In addition, this study found autoAgs that potentially interact with multiple SARS-CoV-2 Nsp and Orf components, including CCT/TriC chaperonin, insulin degrading enzyme, platelet-activating factor acetylhydrolase, and the ezrin-moesin-radixin family. Furthermore, B-cell-specific IgM-associated endoplasmic reticulum (ER) complex (including MBZ1, BiP, heat shock proteins, and protein disulfide-isomerases) is enriched by DS-affinity and up-regulated in B-cells of COVID-19 patients, and a similar IgH-associated ER complex was also identified in autoreactive pre-B1 cells in our previous study, which suggests a role of autoreactive B1 cells in COVID-19 that merits further investigation. In summary, this study demonstrates that virally infected cells are characterized by alterations of proteins with propensity to become autoAgs, thereby providing a possible explanation for infection-induced autoimmunity. The COVID autoantigen-ome provides a valuable molecular resource and map for investigation of COVID-related autoimmune sequelae and considerations for vaccine design.

为了了解COVID-19如何诱导自身免疫性疾病,我们已经编制了COVID自身抗原(autoAgs)图谱。利用从HS-Sultan淋巴细胞中提取的自身抗原蛋白(DS)的亲和富集,我们鉴定出362个DS亲和蛋白,其中至少201个(56%)为已确认的自身抗原。与现有的多组学COVID数据相比,362种蛋白中的315种(87%)在SARS-CoV-2感染中通过表达改变、与病毒组分相互作用或磷酸化或泛素化修饰受到影响,其中至少186种(59%)是已知的自ags。这些蛋白与基因表达、mRNA加工、mRNA剪接、翻译、蛋白质折叠、囊泡和染色体组织有关。许多核自ags被鉴定出来,包括经典的抗核抗体(ANAs)和可提取的核抗原(ENAs),以及参与DNA复制叉、有丝分裂细胞周期或端粒酶维持的独特的自ags。我们还发现了许多参与核酸和肽生物合成和核胞质运输的罕见自ags,如氨基酰基- trna合成酶。此外,本研究还发现了可能与多种SARS-CoV-2 Nsp和Orf组分相互作用的自ags,包括CCT/TriC伴侣蛋白、胰岛素降解酶、血小板活化因子乙酰水解酶和ezrin-moesin-radixin家族。此外,b细胞特异性igm相关内质网(ER)复合体(包括MBZ1、BiP、热休克蛋白和蛋白二硫异构酶)在COVID-19患者的b细胞中通过ds亲和富集并上调,并且在我们之前的研究中也在自身反应性B1前细胞中发现了类似的高相关ER复合体,这表明自身反应性B1细胞在COVID-19中的作用值得进一步研究。总之,本研究表明,病毒感染细胞的特征是倾向于成为自身抗原的蛋白质改变,从而为感染诱导的自身免疫提供了可能的解释。COVID自身抗原组为研究COVID相关自身免疫性后遗症和疫苗设计提供了宝贵的分子资源和图谱。
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引用次数: 0
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Australian Journal of Chemistry
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