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Correction to: The Largest Subunit of Human TFIIIC Complex, TFIIIC220, a Lysine Acetyltransferase Targets Histone H3K18. 更正:人类 TFIIIC 复合物的最大亚基 TFIIIC220 是一种靶向组蛋白 H3K18 的赖氨酸乙酰转移酶。
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvae025
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引用次数: 0
Notch signaling pathway induces expression of type IV collagen in angiogenesis. Notch 信号通路在血管生成过程中诱导 IV 型胶原蛋白的表达。
IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-04-29 DOI: 10.1093/jb/mvad120
Kazuki Kukita, Nanaka Matsuzaka, Mikihisa Takai, Yasutada Imamura, Yongchol Shin

Mural cell adhesion is important for the localization of basement membrane components during angiogenesis, and cell-cell interactions are thought to be critical for basement membrane formation. Type IV collagen, a component of the basement membrane, and non-triple helical type IV collagen α1 chain (NTH α1(IV)) co-localize in the basement membrane of neovascular vessels. However, it remains unclear how type IV collagen and NTH α1(IV) are produced around the basement membrane. In the present study, we developed a de novo angiogenesis model using human umbilical vein endothelial cell spheroids and TIG-1 fibroblast cells and demonstrated that NTH α1(IV), probably with α1(IV) chain before forming triple helix molecule, was localized in the fibroblasts in contact with vascular endothelial cells. This localization was disrupted by DAPT, a Notch signaling inhibitor. DAPT treatment also reduced type IV collagen and NTH α1(IV) secretion in TIG-1 fibroblasts, along with diminished COL4A1 and COL4A2 gene expression. Downregulation of Notch3 in TIG-1 fibroblasts decreased the secretion of type IV collagen and NTH α1(IV). Taken together, these findings suggest that heterogeneous and homogeneous intercellular Notch signaling via Notch3 induces type IV collagen and NTH α1(IV) expression in fibroblasts and contributes to basement membrane formation in neovascular vessels.

壁细胞粘附对血管生成过程中基底膜成分的定位非常重要,而细胞-细胞间的相互作用被认为是基底膜形成的关键。基底膜的一种成分 IV 型胶原和非三螺旋 IV 型胶原 α1 链(NTH α1(IV))共同定位在新生血管的基底膜上。然而,IV 型胶原蛋白和 NTH α1(IV)是如何在基底膜周围产生的仍不清楚。在本研究中,我们利用人体脐静脉内皮细胞球和 TIG-1 成纤维细胞建立了一个新生血管生成模型,并证明 NTH α1(IV)可能与 α1(IV)链在形成三螺旋分子之前定位于与血管内皮细胞接触的成纤维细胞中。这种定位被 Notch 信号抑制剂 DAPT 破坏。DAPT 还能减少 TIG-1 成纤维细胞中 IV 型胶原蛋白和 NTH α1(IV)的分泌,同时减少 COL4A1 和 COL4A2 基因的表达。下调 TIG-1 成纤维细胞中的 Notch3 可减少 IV 型胶原和 NTH α1(IV)的分泌。综上所述,这些研究结果表明,异质性和同质性细胞间 Notch 信号通过 Notch3 诱导成纤维细胞表达 IV 型胶原和 NTH α1(IV),并促进新生血管基底膜的形成。
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引用次数: 0
Protein degraders - from thalidomide to new PROTACs. 蛋白质降解剂--从沙利度胺到新的 PROTACs。
IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-04-29 DOI: 10.1093/jb/mvad113
Takumi Ito

Recently, the development of protein degraders (protein-degrading compounds) has prominently progressed. There are two remarkable classes of protein degraders: proteolysis-targeting chimeras (PROTACs) and molecular glue degraders (MGDs). Almost 70 years have passed since thalidomide was initially developed as a sedative-hypnotic drug, which is currently recognized as one of the most well-known MGDs. During the last two decades, a myriad of PROTACs and MGDs have been developed, and the molecular mechanism of action (MOA) of thalidomide was basically elucidated, including identifying its molecular target cereblon (CRBN). CRBN forms a Cullin Ring Ligase 4 with Cul4 and DDB1, whose substrate specificity is controlled by its binding ligands. Thalidomide, lenalidomide and pomalidomide, three CRBN-binding MGDs, were clinically approved to treat several intractable diseases (including multiple myeloma). Several other MGDs and CRBN-based PROTACs (ARV-110 and AVR-471) are undergoing clinical trials. In addition, several new related technologies regarding PROTACs and MGDs have also been developed, and achievements of protein degraders impact not only therapeutic fields but also basic biological science. In this article, I introduce the history of protein degraders, from the development of thalidomide to the latest PROTACs and related technologies.

最近,蛋白质降解剂(蛋白质降解化合物)的开发取得了显著进展。蛋白质降解剂有两大类:蛋白质分解靶向嵌合体(PROTACs)和分子胶降解剂(MGDs)。沙利度胺最初作为一种镇静催眠药被开发出来,至今已有近 70 年的历史,是目前公认的最著名的分子胶降解剂之一。在过去的二十年里,无数的 PROTACs 和 MGDs 相继问世,沙利度胺的分子作用机制(MOA)也基本阐明,包括确定了其分子靶点 cereblon(CRBN)。CRBN 与 Cul4 和 DDB1 组成 Cullin Ring Ligase 4,其底物特异性受其结合配体的控制。沙利度胺(Thalidomide)、来那度胺(Lenalidomide)和泊马度胺(Pomalidomide)这三种与 CRBN 结合的 MGD 已被临床批准用于治疗多种难治性疾病(包括多发性骨髓瘤)。其他几种 MGD 和基于 CRBN 的 PROTAC(ARV-110 和 AVR-471)正在进行临床试验。此外,与 PROTACs 和 MGDs 相关的一些新技术也已开发出来,蛋白质降解剂的成就不仅影响着治疗领域,也影响着基础生物科学。在本文中,我将介绍蛋白质降解剂的历史,从沙利度胺的开发到最新的 PROTACs 和相关技术。
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引用次数: 0
Therapeutic strategies targeting cellular senescence for cancer and other diseases. 针对癌症和其他疾病的细胞衰老治疗策略。
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvae015
Xuebing Wang, Takeshi Fukumoto, Ken-Ichi Noma

Cellular senescence occurs in response to endogenous or exogenous stresses and is characterized by stable cell cycle arrest, alterations in nuclear morphology and secretion of proinflammatory factors, referred to as the senescence-associated secretory phenotype (SASP). An increase of senescent cells is associated with the development of several types of cancer and aging-related diseases. Therefore, senolytic agents that selectively remove senescent cells may offer opportunities for developing new therapeutic strategies against such cancers and aging-related diseases. This review outlines senescence inducers and the general characteristics of senescent cells. We also discuss the involvement of senescent cells in certain cancers and diseases. Finally, we describe a series of senolytic agents and their utilization in therapeutic strategies.

细胞衰老是对内源性或外源性压力的反应,其特征是稳定的细胞周期停滞、核形态改变和分泌促炎因子,称为衰老相关分泌表型(SASP)。衰老细胞的增加与几种癌症和衰老相关疾病的发展有关。因此,选择性清除衰老细胞的衰老溶解剂可能为开发针对此类癌症和衰老相关疾病的新治疗策略提供机会。本综述概述了衰老诱导剂和衰老细胞的一般特征。我们还讨论了衰老细胞与某些癌症和疾病的关系。最后,我们介绍了一系列衰老溶解剂及其在治疗策略中的应用。
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引用次数: 0
Protein homeostasis and degradation in quiescent neural stem cells. 静止神经干细胞的蛋白质平衡与降解
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvae006
Taeko Kobayashi

Tissue stem cells are maintained in the adult body throughout life and are crucial for tissue homeostasis as they supply newly functional cells. Quiescence is a reversible arrest in the G0/G1 phase of the cell cycle and a strategy to maintain the quality of tissue stem cells. Quiescence maintains stem cells in a self-renewable and differentiable state for a prolonged period by suppressing energy consumption and cell damage and depletion. Most adult neural stem cells in the brain maintain the quiescent state and produce neurons and glial cells through differentiation after activating from the quiescent state to the proliferating state. In this process, proteostasis, including proteolysis, is essential to transition between the quiescent and proliferating states associated with proteome remodeling. Recent reports have demonstrated that quiescent and proliferating neural stem cells have different expression patterns and roles as proteostatic molecules and are affected by age, indicating differing processes for protein homeostasis in these two states in the brain. This review discusses the multiple regulatory stages from protein synthesis (protein birth) to proteolysis (protein death) in quiescent neural stem cells.

组织干细胞在成人体内终生维持,对组织平衡至关重要,因为它们提供新的功能细胞。静止是细胞周期G0/G1阶段的一种可逆停滞,也是维持组织干细胞质量的一种策略。衰老通过抑制能量消耗、细胞损伤和耗竭,使干细胞长期处于可自我更新和分化的状态。大脑中的大多数成体神经干细胞保持静止状态,从静止状态激活到增殖状态后,通过分化产生神经元和胶质细胞。在这一过程中,蛋白稳态(包括蛋白水解)对静止和增殖状态之间的转换至关重要,这与蛋白组重塑有关。最近的报告表明,静止和增殖状态的神经干细胞具有不同的蛋白稳态分子表达模式和作用,并受年龄的影响,这表明大脑中这两种状态的蛋白稳态过程不同。本综述讨论静止期神经干细胞从蛋白质合成(蛋白质诞生)到蛋白质分解(蛋白质死亡)的多个调控阶段。
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引用次数: 0
Mitochondrial quality control via organelle and protein degradation. 通过细胞器和蛋白质降解进行线粒体质量控制
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvad106
Koji Yamano, Hiroki Kinefuchi, Waka Kojima

Mitochondria are essential eukaryotic organelles that produce ATP as well as synthesize various macromolecules. They also participate in signalling pathways such as the innate immune response and apoptosis. These diverse functions are performed by >1,000 different mitochondrial proteins. Although mitochondria are continuously exposed to potentially damaging conditions such as reactive oxygen species, proteases/peptidases localized in different mitochondrial subcompartments, termed mitoproteases, maintain mitochondrial quality and integrity. In addition to processing incoming precursors and degrading damaged proteins, mitoproteases also regulate metabolic reactions, mitochondrial protein half-lives and gene transcription. Impaired mitoprotease function is associated with various pathologies. In this review, we highlight recent advances in our understanding of mitochondrial quality control regulated by autophagy, ubiquitin-proteasomes and mitoproteases.

线粒体是真核生物的重要细胞器,可产生 ATP 并合成各种大分子。它们还参与信号传导途径,如先天免疫反应和细胞凋亡。这些不同的功能由超过 1000 种不同的线粒体蛋白执行。尽管线粒体不断暴露于活性氧等潜在的破坏性环境中,但分布在不同线粒体亚区的蛋白酶/肽酶(称为丝裂蛋白酶)却能保持线粒体的质量和完整性。除了处理进入的前体和降解受损蛋白质外,有丝分裂蛋白酶还能调节新陈代谢反应、线粒体蛋白质半衰期和基因转录。有丝分裂蛋白酶功能受损与各种病症有关。在这篇综述中,我们将重点介绍在了解由自噬、泛素蛋白酶体和有丝分裂蛋白酶调控的线粒体质量控制方面的最新进展。
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引用次数: 0
Comparative Analysis of Site-Specific N-glycosylation of LAMP1 from Breast Cancer Tissues. 乳腺癌组织中 LAMP1 的特异性 N-糖基化位点比较分析
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvae001
Shoko Ohashi, Daisuke Takakura, Noritoshi Kobayashi, Motohiko Tokuhisa, Yasushi Ichikawa, Nana Kawasaki

Glycosylation changes in cancer proteins have been associated with malignant transformation. However, techniques for analyzing site-specific glycosylation changes in target proteins obtained from clinical tissue samples are insufficient. To overcome these problems, we developed a targeted N-glycoproteomic approach consisting of immunoprecipitation, glycopeptide enrichment, LC/MS/MS and structural assignment using commercially available analytical software followed by manual confirmation. This approach was applied to the comparative site-specific glycosylation analysis of lysosome-associated membrane glycoprotein 1 (LAMP1) between breast cancer (BC) tumors and normal tissues adjacent to tumors. Extensive determination of glycan heterogeneity from four N-glycosylation sites (Asn84/103/249/261) in LAMP1 identified 262 glycoforms and revealed remarkable diversity in tumor glycan structures. A significant increase in N-glycoforms with multiple fucoses and sialic acids at Asn84/249 and high-mannose-type glycans at Asn103/261 were observed in the tumor. Principal component analysis revealed that tumors of different subtypes have independent distributions. This approach enables site-specific glycopeptide analysis of target glycoprotein in breast cancer tissue and become a powerful tool for characterizing tumors with different pathological features by their glycan profiles.

癌症蛋白质中的糖基化变化与恶性转化有关。然而,用于分析从临床组织样本中获得的目标蛋白质中特异位点糖基化变化的技术并不充分。为了克服这些问题,我们开发了一种有针对性的 N-糖蛋白组学方法,包括免疫沉淀、糖肽富集、LC/MS/MS,以及使用市售分析软件进行结构分配和人工确认。该方法被应用于乳腺癌(BC)肿瘤与肿瘤邻近正常组织之间溶酶体相关膜糖蛋白1(LAMP1)的特异位点糖基化比较分析。对LAMP1中四个N-糖基化位点(Asn84/103/249/261)的糖异质性进行了广泛测定,发现了262种糖型,并揭示了肿瘤糖结构的显著多样性。在肿瘤中观察到,Asn84/249处含有多个岩藻糖和硅酸的N-糖基形式以及Asn103/261处含有高甘露糖型聚糖的N-糖基形式明显增加。主成分分析显示,不同亚型的肿瘤具有独立的分布。这种方法可对乳腺癌组织中的目标糖蛋白进行特定位点的糖肽分析,是通过糖谱描述不同病理特征的肿瘤的有力工具。
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引用次数: 0
Relationships between protein degradation, cellular senescence, and organismal aging. 蛋白质降解、细胞衰老和机体衰老之间的关系
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-04-29 DOI: 10.1093/jb/mvae016
Jun Hamazaki, Shigeo Murata

Aging is a major risk factor for many diseases. Recent studies have shown that age-related disruption of proteostasis leads to the accumulation of abnormal proteins and that dysfunction of the two major intracellular proteolytic pathways, the ubiquitin-proteasome pathway, and the autophagy-lysosome pathway, is largely responsible for this process. Conversely, it has been shown that activation of these proteolytic pathways may contribute to lifespan extension and suppression of pathological conditions, making it a promising intervention for anti-aging. This review provides an overview of the important role of intracellular protein degradation in aging and summarizes how the disruption of proteostasis is involved in age-related diseases.

衰老是许多疾病的主要风险因素。最近的研究表明,与年龄有关的蛋白稳态破坏会导致异常蛋白质的积累,而泛素-蛋白酶体途径和自噬-溶酶体途径这两大细胞内蛋白水解途径的功能障碍在很大程度上导致了这一过程。相反,有研究表明,激活这些蛋白水解途径可能有助于延长寿命和抑制病理状态,使其成为一种很有前景的抗衰老干预措施。本综述概述了细胞内蛋白质降解在衰老过程中的重要作用,并总结了蛋白稳态的破坏是如何参与老年相关疾病的。
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引用次数: 0
Rethinking c-Fos for understanding drug action in the brain. 重新思考 c-Fos,了解药物在大脑中的作用。
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-03-25 DOI: 10.1093/jb/mvad110
Katsuyasu Sakurai

Understanding the mechanisms of drug action in the brain, from the genetic to the neural circuit level, is crucial for the development of new agents that act upon the central nervous system. Determining the brain regions and neurons affected by a drug is essential for revealing its mechanism of action in the brain. c-Fos, a marker of neuronal activation, has been widely used to detect neurons activated by stimuli with high spatial resolution. In this review, the use of c-Fos for the visualization and manipulation of activated neurons is introduced. I also explain that a higher temporal resolution can be achieved by changing the staining method for visualization of c-Fos. Moreover, a new method that allows labeling and manipulating commonly activated neurons using two different stimuli is proposed.

从基因到神经回路层面了解药物在大脑中的作用机制,对于开发作用于中枢神经系统的新药物至关重要。确定受药物影响的大脑区域和神经元对于揭示药物在大脑中的作用机制至关重要。c-Fos 是一种神经元激活标记物,已被广泛用于检测受刺激激活的神经元,具有很高的空间分辨率。在这篇综述中,我将介绍如何利用 c-Fos 对激活的神经元进行可视化和操作。我还解释了通过改变 c-Fos 可视化的染色方法可以实现更高的时间分辨率。此外,我还提出了一种新方法,可以使用两种不同的刺激标记和操纵常见的激活神经元。
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引用次数: 0
DF-Phos: Prediction of Protein Phosphorylation Sites by Deep Forest. DF-Phos:深林预测蛋白质磷酸化位点
IF 2.7 4区 生物学 Q1 Medicine Pub Date : 2024-03-25 DOI: 10.1093/jb/mvad116
Zeynab Zahiri, Nasser Mehrshad, Maliheh Mehrshad

Phosphorylation is the most important and studied post-translational modification (PTM), which plays a crucial role in protein function studies and experimental design. Many significant studies have been performed to predict phosphorylation sites using various machine-learning methods. Recently, several studies have claimed that deep learning-based methods are the best way to predict the phosphorylation sites because deep learning as an advanced machine learning method can automatically detect complex representations of phosphorylation patterns from raw sequences and thus offers a powerful tool to improve phosphorylation site prediction. In this study, we report DF-Phos, a new phosphosite predictor based on the Deep Forest to predict phosphorylation sites. In DF-Phos, the feature vector taken from the CkSAApair method is as input for a Deep Forest framework for predicting phosphorylation sites. The results of 10-fold cross-validation show that the Deep Forest method has the highest performance among other available methods. We implemented a Python program of DF-Phos, which is freely available for non-commercial use at https://github.com/zahiriz/DF-Phos Moreover, users can use it for various PTM predictions.

磷酸化是最重要的翻译后修饰(PTM),在蛋白质功能研究和实验设计中起着至关重要的作用。利用各种机器学习方法预测磷酸化位点已经开展了许多重要研究。最近,一些研究称,基于深度学习的方法是预测磷酸化位点的最佳方法,因为深度学习作为一种先进的机器学习方法,可以从原始序列中自动检测磷酸化模式的复杂表征,从而为改进磷酸化位点预测提供了强有力的工具。在本研究中,我们报告了一种基于深林预测磷酸化位点的新型磷酸化位点预测器--DF-Phos。在 DF-Phos 中,从 CkSAApair 方法中提取的特征向量是预测磷酸化位点的深林框架的输入。10 倍交叉验证的结果表明,在其他可用方法中,深林方法的性能最高。我们实现了 DF-Phos 的 Python 程序,该程序可在 https://github.com/zahiriz/DF-Phos 免费用于非商业目的,而且用户可以用它进行各种 PTM 预测。
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引用次数: 0
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Journal of biochemistry
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