Current Opinion in Systems Biology最新文献_第2页

Enzymes, auxiliaries, and cells for the recycling and upcycling of polyethylene terephthalate 用于聚对苯二甲酸乙二酯（PET）回收和再循环的酶、助剂和细胞

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-03-19 DOI: 10.1016/j.coisb.2024.100515

Thanakrit Wongsatit , Thanate Srimora , Cholpisit Kiattisewee , Chayasith Uttamapinant

引用次数: 0

Shaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment 塑造精准肿瘤学的未来：整合昼夜节律医学和数学模型，实现个性化癌症治疗

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-03-01 DOI: 10.1016/j.coisb.2024.100506

Janina Hesse , Nina Nelson , Angela Relógio

{"title":"Shaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment","authors":"Janina Hesse , Nina Nelson , Angela Relógio","doi":"10.1016/j.coisb.2024.100506","DOIUrl":"https://doi.org/10.1016/j.coisb.2024.100506","url":null,"abstract":"<div><p>The growing numbers of cancer cases represent a medical and societal burden worldwide. More than half of all cancer patients are treated with chemotherapy. Yet, chemotherapeutic drugs kill not only cancer cells, but also healthy tissue, causing massive adverse side effects. Recent research on circadian medicine suggests that side-effects can be reduced, and treatment efficacy increased, by considering the biological clock of patients. Integrating circadian profiles of molecular clock markers in personalized mathematical models can simulate individual circadian dynamics of drug uptake, drug action and cellular response to chemotherapy. This requires advanced computational tools that balance prediction quality with overfitting. Personalized mathematical models will eventually lead to an optimal alignment of treatment timing with the inner circadian clock of the patient, reducing side effects, increasing efficacy and enhancing patient well-being.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":"37 ","pages":"Article 100506"},"PeriodicalIF":3.7,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452310024000027/pdfft?md5=ca1548e10b73e11752c874903a1363a1&pid=1-s2.0-S2452310024000027-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial Board Page 编辑委员会页面

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-03-01 DOI: 10.1016/S2452-3100(24)00007-6

引用次数: 0

Dynamics of T-helper cell differentiation and plasticity: How have computational models improved our understanding? T 辅助细胞分化和可塑性的动力学：计算模型如何增进我们的理解？

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-02-16 DOI: 10.1016/j.coisb.2024.100508

Pradyumna Harlapur, Atchuta Srinivas Duddu, Mohit Kumar Jolly

引用次数: 0

Neural signaling in neuropathic pain: A computational modeling perspective 神经病理性疼痛中的神经信号传导：计算建模视角

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-02-08 DOI: 10.1016/j.coisb.2024.100509

Xinyue Ma , Anmar Khadra

{"title":"Neural signaling in neuropathic pain: A computational modeling perspective","authors":"Xinyue Ma , Anmar Khadra","doi":"10.1016/j.coisb.2024.100509","DOIUrl":"10.1016/j.coisb.2024.100509","url":null,"abstract":"<div><p>Neuropathic pain is a complex condition with a huge unmet medical need. Owing to our incomplete understanding of its perplexing pathology, current therapeutic strategies for treating neuropathic pain remain limited in their efficacy. Computational modeling has emerged as a promising methodology in unraveling the intricate neural mechanisms contributing to neuropathic pain. This review serves as a bridge that links traditional experimental research in neuropathic pain to computational neuroscience. We aim to fill in the gap of knowledge between these two fields by introducing the methodology of computational modeling as well as the neurophysiological background for neuropathic pain. We provide examples of recent advances in using computational modeling at the molecular, cellular, and neural network levels to harness the understanding of pain-associated neural signaling. This integration of computational modeling has yielded crucial insights into neuropathic pain pathophysiology, with great potential to inform novel pharmacological and neurostimulation-based treatments for the disease.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":"37 ","pages":"Article 100509"},"PeriodicalIF":3.7,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452310024000052/pdfft?md5=d4c0bbd6bb1f98e6ca3144aab1540c86&pid=1-s2.0-S2452310024000052-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139887002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coupling between the cell cycle and the circadian clock: Lessons from computational modelling and consequences for cancer chronotherapy 细胞周期与昼夜节律时钟之间的耦合：计算建模的启示及对癌症时间疗法的影响

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-02-01 DOI: 10.1016/j.coisb.2024.100507

Didier Gonze

引用次数: 0

Biodegradation of polystyrene and systems biology-based approaches to the development of new biocatalysts for plastic degradation 聚苯乙烯的生物降解和基于系统生物学的塑料降解新生物催化剂开发方法

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-01-12 DOI: 10.1016/j.coisb.2024.100505

Ye-Bin Kim , Seongmin Kim , Chungoo Park , Soo-Jin Yeom

{"title":"Biodegradation of polystyrene and systems biology-based approaches to the development of new biocatalysts for plastic degradation","authors":"Ye-Bin Kim , Seongmin Kim , Chungoo Park , Soo-Jin Yeom","doi":"10.1016/j.coisb.2024.100505","DOIUrl":"10.1016/j.coisb.2024.100505","url":null,"abstract":"<div><p>Plastic waste has become one of the most pressing environmental issues with rapidly increased their production that also has a severe impact on individual species and ecosystem functioning.</p><p>With recycling technologies in place, the waste plastic will become a valuable resource and hence less material will be lost to the environment. In the pursuit of a sustainable approach to the treatment of plastic waste, biological processes<span> have emerged as an eco-friendly method with significant potential. In this review, we summarize previous research on the biodegradation of polystyrene (PS) as major plastics, including a review of the analytical methods used to investigate the plastic biodegradation, the isolation of PS-degrading microbes from various environment, and the identification of potential enzymes<span> for PS biodegradation. Based on this, we propose a potential PS biodegradation pathway, even though the specific biochemical mechanisms<span> associated with certain enzymes have not yet been fully identified. Finally, we discuss how PS-biodegrading enzymes can be identified using a systems biology-based screening approach that combines culture-based genomic and culture-independent metagenomic methods. This strategy can be applied to searching biodegrading enzymes for other plastics.</span></span></span></p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":"37 ","pages":"Article 100505"},"PeriodicalIF":3.7,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139538705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Capped or uncapped? Techniques to assess the quality of mRNA molecules 有封顶还是无封顶？评估 mRNA 分子质量的技术

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-01-04 DOI: 10.1016/j.coisb.2023.100503

Ying Tu, Akashaditya Das, Chileab Redwood-Sawyerr, Karen M. Polizzi

引用次数: 0

Synthetic interventions in epigenome: Unraveling chromatin's potential for therapeutic applications 表观基因组的合成干预：揭示染色质的治疗应用潜力

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-01-03 DOI: 10.1016/j.coisb.2023.100504

Junyoung Kim , Jonghyun Kim , Minhee Park

引用次数: 0

Microbial cell factories for bio-based isoprenoid production to replace fossil resources 用于生产生物基异戊二烯以替代化石资源的微生物细胞工厂

IF 3.7

Current Opinion in Systems Biology Pub Date : 2024-01-03 DOI: 10.1016/j.coisb.2023.100502

Min-Kyoung Kang , Sang-Hwal Yoon , Moonhyuk Kwon , Seon-Won Kim

{"title":"Microbial cell factories for bio-based isoprenoid production to replace fossil resources","authors":"Min-Kyoung Kang , Sang-Hwal Yoon , Moonhyuk Kwon , Seon-Won Kim","doi":"10.1016/j.coisb.2023.100502","DOIUrl":"10.1016/j.coisb.2023.100502","url":null,"abstract":"<div><p>Concerns about environmental issues and limited fossil resources have increased interest and efforts in developing sustainable production of bio-based chemicals and fuels using microorganisms. Advanced metabolic engineering has developed microbial cell factories (MCFs) with the support of synthetic biology and systems biology. Isoprenoids are one of the largest classes of natural products and possess many practical industrial applications. However, it is challenging to meet the market demand for isoprenoids because of the current inefficient and unsustainable strategies for isoprenoid production such as chemical synthesis and plant extraction. Therefore, many efforts have been made to build isoprenoid-producing MCFs by applying metabolic engineering strategies, biological devices, and machinery from synthetic biology and systems biology. This review introduces recent studies of strain engineering and applications of biological tools and systems for developing isoprenoid MCFs. In addition, we also reviewed the isoprenoid fermentation strategies that lead to the best performance of isoprenoid-producing MCFs.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":"37 ","pages":"Article 100502"},"PeriodicalIF":3.7,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139392603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0