Wiley Interdisciplinary Reviews-Systems Biology and Medicine最新文献_第8页

Targeting epidermal growth factor receptor co-dependent signaling pathways in glioblastoma. 靶向胶质母细胞瘤中表皮生长因子受体共同依赖的信号通路。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2018-01-01 Epub Date: 2017-09-11 DOI: 10.1002/wsbm.1398

Feng Liu, Paul S Mischel

{"title":"Targeting epidermal growth factor receptor co-dependent signaling pathways in glioblastoma.","authors":"Feng Liu, Paul S Mischel","doi":"10.1002/wsbm.1398","DOIUrl":"https://doi.org/10.1002/wsbm.1398","url":null,"abstract":"The epidermal growth factor receptor (EGFR) is a transmembrane receptor tyrosine kinase (RTK) that is critical for normal development and function. EGFR is also amplified or mutated in a variety of cancers including in nearly 60% of cases of the highly lethal brain cancer glioblastoma (GBM). EGFR amplification and mutation reprogram cellular metabolism and broadly alter gene transcription to drive tumor formation and progression, rendering EGFR as a compelling drug target. To date, brain tumor patients have yet to benefit from anti-EGFR therapy due in part to an inability to achieve sufficient intratumoral drug levels in the brain, cultivating adaptive mechanisms of resistance. Here, we review an alternative set of strategies for targeting EGFR-amplified GBMs, based on identifying and targeting tumor co-dependencies shaped both by aberrant EGFR signaling and the brain's unique biochemical environment. These approaches may include highly brain-penetrant drugs from non-cancer pipelines, expanding the pharmacopeia and providing promising new treatments. We review the molecular underpinnings of EGFR-activated co-dependencies in the brain and the promising new treatments based on this strategy. WIREs Syst Biol Med 2018, 10:e1398. doi: 10.1002/wsbm.1398 This article is categorized under: Biological Mechanisms > Cell Signaling Laboratory Methods and Technologies > Genetic/Genomic Methods Translational, Genomic, and Systems Medicine > Translational Medicine.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"10 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1398","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35341203","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: 18

Metabolic interactions in cancer: cellular metabolism at the interface between the microenvironment, the cancer cell phenotype and the epigenetic landscape. 癌症中的代谢相互作用:微环境、癌细胞表型和表观遗传景观之间的细胞代谢界面。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2018-01-01 Epub Date: 2017-08-30 DOI: 10.1002/wsbm.1397

Gianmarco Rinaldi, Matteo Rossi, Sarah-Maria Fendt

{"title":"Metabolic interactions in cancer: cellular metabolism at the interface between the microenvironment, the cancer cell phenotype and the epigenetic landscape.","authors":"Gianmarco Rinaldi, Matteo Rossi, Sarah-Maria Fendt","doi":"10.1002/wsbm.1397","DOIUrl":"https://doi.org/10.1002/wsbm.1397","url":null,"abstract":"Metabolism is tied into complex interactions with cell intrinsic and extrinsic processes that go beyond the conversion of nutrients into energy and biomass. Indeed, metabolism is a central cellular hub that interconnects and influences the microenvironment, the cellular phenotype, cell signaling, and the (epi)genetic landscape. While these interactions evolved to support survival and function of normal cells, they are hijacked by cancer cells to enable cancer maintenance and progression. Thus, a mechanistic and functional understanding of complex metabolic interactions provides a basis for the discovery of novel metabolic vulnerabilities in cancer. In this review, we will summarize and provide context for the to-date discovered complex metabolic interactions by discussing how the microenvironment as well as the cellular phenotype define cancer metabolism, and how metabolism shapes the epigenetic state of cancer cells. Many of the studies investigating the crosstalk of metabolism with cell intrinsic and extrinsic processes have used integrative data analysis approaches at the interface between computational and experimental cancer research, and we will highlight those throughout the review. In conclusion, identifying and understanding complex metabolic interactions is a basis for deciphering novel metabolic vulnerabilities of cancer cells. WIREs Syst Biol Med 2018, 10:e1397. doi: 10.1002/wsbm.1397 This article is categorized under: Biological Mechanisms > Metabolism Physiology > Mammalian Physiology in Health and Disease.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"10 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35460816","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: 50

Stability analysis in spatial modeling of cell signaling. 细胞信号空间建模中的稳定性分析。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2018-01-01 Epub Date: 2017-08-08 DOI: 10.1002/wsbm.1395

Michael C Getz, Jasmine A Nirody, Padmini Rangamani

{"title":"Stability analysis in spatial modeling of cell signaling.","authors":"Michael C Getz, Jasmine A Nirody, Padmini Rangamani","doi":"10.1002/wsbm.1395","DOIUrl":"https://doi.org/10.1002/wsbm.1395","url":null,"abstract":"Advances in high-resolution microscopy and other techniques have emphasized the spatio-temporal nature of information transfer through signal transduction pathways. The compartmentalization of signaling molecules and the existence of microdomains are now widely acknowledged as key features in biochemical signaling. To complement experimental observations of spatio-temporal dynamics, mathematical modeling has emerged as a powerful tool. Using modeling, one can not only recapitulate experimentally observed dynamics of signaling molecules, but also gain an understanding of the underlying mechanisms in order to generate experimentally testable predictions. Reaction-diffusion systems are commonly used to this end; however, the analysis of coupled nonlinear systems of partial differential equations, generated by considering large reaction networks is often challenging. Here, we aim to provide an introductory tutorial for the application of reaction-diffusion models to the spatio-temporal dynamics of signaling pathways. In particular, we outline the steps for stability analysis of such models, with a focus on biochemical signal transduction. WIREs Syst Biol Med 2018, 10:e1395. doi: 10.1002/wsbm.1395 This article is categorized under: Biological Mechanisms > Cell Signaling Analytical and Computational Methods > Dynamical Methods Models of Systems Properties and Processes > Mechanistic Models.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"10 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35250825","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: 7

Crosstalk between transcription and metabolism: how much enzyme is enough for a cell? 转录和代谢之间的串扰:一个细胞需要多少酶?

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2018-01-01 Epub Date: 2017-08-15 DOI: 10.1002/wsbm.1396

Stefano Donati, Timur Sander, Hannes Link

{"title":"Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?","authors":"Stefano Donati, Timur Sander, Hannes Link","doi":"10.1002/wsbm.1396","DOIUrl":"https://doi.org/10.1002/wsbm.1396","url":null,"abstract":"Cells employ various mechanisms for dynamic control of enzyme expression. An important mechanism is mutual feedback-or crosstalk-between transcription and metabolism. As recently suggested, enzyme levels are often much higher than absolutely needed to maintain metabolic flux. However, given the potential burden of high enzyme levels it seems likely that cells control enzyme expression to meet other cellular objectives. In this review, we discuss whether crosstalk between metabolism and transcription could inform cells about how much enzyme is optimal for various fitness aspects. Two major problems should be addressed in order to understand optimization of enzyme levels by crosstalk. First, mapping of metabolite-protein interactions will be crucial to obtain a better mechanistic understanding of crosstalk. Second, investigating cellular objectives that define optimal enzyme levels can reveal the functional relevance of crosstalk. We present recent studies that approach these problems, drawing from experimental transcript and metabolite data, and from theoretical network analyses. WIREs Syst Biol Med 2018, 10:e1396. doi: 10.1002/wsbm.1396 This article is categorized under: Biological Mechanisms > Metabolism Laboratory Methods and Technologies > Metabolomics Biological Mechanisms > Regulatory Biology.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"10 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1396","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35413993","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: 29

Immunity to CRISPR Cas9 and Cas12a therapeutics. 对CRISPR Cas9和Cas12a疗法的免疫。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2018-01-01 Epub Date: 2017-10-30 DOI: 10.1002/wsbm.1408

Wei Leong Chew

{"title":"Immunity to CRISPR Cas9 and Cas12a therapeutics.","authors":"Wei Leong Chew","doi":"10.1002/wsbm.1408","DOIUrl":"10.1002/wsbm.1408","url":null,"abstract":"Genome-editing therapeutics are poised to treat human diseases. As we enter clinical trials with the most promising CRISPR-Cas9 and CRISPR-Cas12a (Cpf1) modalities, the risks associated with administering these foreign biomolecules into human patients become increasingly salient. Preclinical discovery with CRISPR-Cas9 and CRISPR-Cas12a systems and foundational gene therapy studies indicate that the host immune system can mount undesired responses against the administered proteins and nucleic acids, the gene-edited cells, and the host itself. These host defenses include inflammation via activation of innate immunity, antibody induction in humoral immunity, and cell death by T-cell-mediated cytotoxicity. If left unchecked, these immunological reactions can curtail therapeutic benefits and potentially lead to mortality. Ways to assay and reduce the immunogenicity of Cas9 and Cas12a proteins are therefore critical for ensuring patient safety and treatment efficacy, and for bringing us closer to realizing the vision of permanent genetic cures. WIREs Syst Biol Med 2018, 10:e1408. doi: 10.1002/wsbm.1408 This article is categorized under: Laboratory Methods and Technologies > Genetic/Genomic Methods Translational, Genomic, and Systems Medicine > Translational Medicine Translational, Genomic, and Systems Medicine > Therapeutic Methods.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"10 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35557901","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: 97

Image-based computational fluid dynamics in the lung: virtual reality or new clinical practice? 基于图像的肺计算流体动力学:虚拟现实还是新的临床实践?

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-11-01 Epub Date: 2017-06-13 DOI: 10.1002/wsbm.1392

Kelly S Burrowes, Jan De Backer, Haribalan Kumar

{"title":"Image-based computational fluid dynamics in the lung: virtual reality or new clinical practice?","authors":"Kelly S Burrowes, Jan De Backer, Haribalan Kumar","doi":"10.1002/wsbm.1392","DOIUrl":"https://doi.org/10.1002/wsbm.1392","url":null,"abstract":"The development and implementation of personalized medicine is paramount to improving the efficiency and efficacy of patient care. In the respiratory system, function is largely dictated by the choreographed movement of air and blood to the gas exchange surface. The passage of air begins in the upper airways, either via the mouth or nose, and terminates at the alveolar interface, while blood flows from the heart to the alveoli and back again. Computational fluid dynamics (CFD) is a well-established tool for predicting fluid flows and pressure distributions within complex systems. Traditionally CFD has been used to aid in the effective or improved design of a system or device; however, it has become increasingly exploited in biological and medical-based applications further broadening the scope of this computational technique. In this review, we discuss the advancement in application of CFD to the respiratory system and the contributions CFD is currently making toward improving precision medicine. The key areas CFD has been applied to in the pulmonary system are in predicting fluid transport and aerosol distribution within the airways. Here we focus our discussion on fluid flows and in particular on image-based clinically focused CFD in the ventilatory system. We discuss studies spanning from the paranasal sinuses through the conducting airways down to the level of the alveolar airways. The combination of imaging and CFD is enabling improved device design in aerosol transport, improved biomarkers of lung function in clinical trials, and improved predictions and assessment of surgical interventions in the nasal sinuses. WIREs Syst Biol Med 2017, 9:e1392. doi: 10.1002/wsbm.1392 For further resources related to this article, please visit the WIREs website.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"9 6","pages":""},"PeriodicalIF":7.9,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35083374","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: 20

Genome-scale metabolic models applied to human health and disease. 应用于人类健康和疾病的基因组尺度代谢模型。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-11-01 Epub Date: 2017-06-23 DOI: 10.1002/wsbm.1393

Daniel J Cook, Jens Nielsen

{"title":"Genome-scale metabolic models applied to human health and disease.","authors":"Daniel J Cook, Jens Nielsen","doi":"10.1002/wsbm.1393","DOIUrl":"https://doi.org/10.1002/wsbm.1393","url":null,"abstract":"Advances in genome sequencing, high throughput measurement of gene and protein expression levels, data accessibility, and computational power have allowed genome-scale metabolic models (GEMs) to become a useful tool for understanding metabolic alterations associated with many different diseases. Despite the proven utility of GEMs, researchers confront multiple challenges in the use of GEMs, their application to human health and disease, and their construction and simulation in an organ-specific and disease-specific manner. Several approaches that researchers are taking to address these challenges include using proteomic and transcriptomic-informed methods to build GEMs for individual organs, diseases, and patients and using constraints on model behavior during simulation to match observed metabolic fluxes. We review the challenges facing researchers in the use of GEMs, review the approaches used to address these challenges, and describe advances that are on the horizon and could lead to a better understanding of human metabolism. WIREs Syst Biol Med 2017, 9:e1393. doi: 10.1002/wsbm.1393 For further resources related to this article, please visit the WIREs website.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"9 6","pages":""},"PeriodicalIF":7.9,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1393","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35114972","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: 31

The best models of metabolism. 最好的新陈代谢模型。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-11-01 Epub Date: 2017-05-19 DOI: 10.1002/wsbm.1391

Eberhard O Voit

引用次数: 38

Genome organization during the cell cycle: unity in division. 细胞周期中的基因组组织:分裂中的统一。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-09-01 Epub Date: 2017-05-16 DOI: 10.1002/wsbm.1389

Rosela Golloshi, Jacob T Sanders, Rachel Patton McCord

{"title":"Genome organization during the cell cycle: unity in division.","authors":"Rosela Golloshi, Jacob T Sanders, Rachel Patton McCord","doi":"10.1002/wsbm.1389","DOIUrl":"https://doi.org/10.1002/wsbm.1389","url":null,"abstract":"During the cell cycle, the genome must undergo dramatic changes in structure, from a decondensed, yet highly organized interphase structure to a condensed, generic mitotic chromosome and then back again. For faithful cell division, the genome must be replicated and chromosomes and sister chromatids physically segregated from one another. Throughout these processes, there is feedback and tension between the information-storing role and the physical properties of chromosomes. With a combination of recent techniques in fluorescence microscopy, chromosome conformation capture (Hi-C), biophysical experiments, and computational modeling, we can now attribute mechanisms to many long-observed features of chromosome structure changes during cell division. Apparent conflicts that arise when integrating the concepts from these different proposed mechanisms emphasize that orchestrating chromosome organization during cell division requires a complex system of factors rather than a simple pathway. Cell division is both essential for and threatening to proper genome organization. As interphase three-dimensional (3D) genome structure is quite static at a global level, cell division provides an important window of opportunity to make substantial changes in 3D genome organization in daughter cells, allowing for proper differentiation and development. Mistakes in the process of chromosome condensation or rebuilding the structure after mitosis can lead to diseases such as cancer, premature aging, and neurodegeneration. WIREs Syst Biol Med 2017, 9:e1389. doi: 10.1002/wsbm.1389 For further resources related to this article, please visit the WIREs website.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"9 5","pages":""},"PeriodicalIF":7.9,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35001876","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: 13

Imaging mass spectrometry for metabolites: technical progress, multimodal imaging, and biological interactions. 代谢物成像质谱分析:技术进步、多模态成像和生物相互作用。

IF 7.9

Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-09-01 Epub Date: 2017-05-10 DOI: 10.1002/wsbm.1387

Ying-Ning Ho, Lin-Jie Shu, Yu-Liang Yang

{"title":"Imaging mass spectrometry for metabolites: technical progress, multimodal imaging, and biological interactions.","authors":"Ying-Ning Ho, Lin-Jie Shu, Yu-Liang Yang","doi":"10.1002/wsbm.1387","DOIUrl":"https://doi.org/10.1002/wsbm.1387","url":null,"abstract":"Imaging mass spectrometry (IMS) allows the study of the spatial distribution of small molecules in biological samples. IMS is able to identify and quantify chemicals in situ from whole tissue sections to single cells. Both vacuum mass spectrometry (MS) and ambient MS systems have advanced considerably over the last decade; however, some limitations are still hard to surmount. Sample pretreatment, matrix or solvent choices, and instrument improvement are the key factors that determine the successful application of IMS to different samples and analytes. IMS with innovative MS analyzers, powerful MS spectrum databases, and analysis tools can efficiently dereplicate, identify, and quantify natural products. Moreover, multimodal imaging systems and multiple MS-based systems provide additional structural, chemical, and morphological information and are applied as complementary tools to explore new fields. IMS has been applied to reveal interactions between living organisms at molecular level. Recently, IMS has helped solve many previously unidentifiable relations between bacteria, fungi, plants, animals, and insects. Other significant interactions on the chemical level can also be resolved using expanding IMS techniques. WIREs Syst Biol Med 2017, 9:e1387. doi: 10.1002/wsbm.1387 For further resources related to this article, please visit the WIREs website.","PeriodicalId":49254,"journal":{"name":"Wiley Interdisciplinary Reviews-Systems Biology and Medicine","volume":"9 5","pages":""},"PeriodicalIF":7.9,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wsbm.1387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34982038","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: 33