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ISSN 打印: 1045-4403

ISSN 在线: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

Applications of Three-Dimensional Cell Cultures in the Early Stages of Drug Discovery, Focusing on Gene Expressions, Drug Metabolism, and Susceptibility

卷 27, 册 1, 2017, pp. 53-62
DOI: 10.1615/CritRevEukaryotGeneExpr.2017018935
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摘要

Three-dimensional (3D) cell cultures represent advances in the way in which cells are grown in vitro, and they are gaining ground for a variety of applications. Advantages of 3D systems include reliable and realistic study endpoints. Cells grown in 3D conditions mimic in vivo conditions to an extent that is not possible with traditional 2D cell-culture methods. One major area in which 3D cell cultures have proven to make a difference is with drug discovery. The facets taken advantage of for drug discovery are the cells' complex microenvironment, including the production of extracellular matrices, altered gene expressions and their protein products, drug metabolism, and susceptibility to drugs when compared to 2D cultures. Altered protein and gene expressions are useful for drug-target identification. The susceptibility of 3D cultured cells for drug-induced effects can be used to obtain realistic data in a dose-dependent manner that can aid in identifying effective drug dosage. This review presents the contributions of 3D cell cultures for drug discovery, taking into consideration gene and protein expressions, drug metabolism, and susceptibility to drugs as the major focus points.

对本文的引用
  1. Koroknai Viktoria, Patel Vikas, Szász István, Ádány Róza, Balazs Margit, Gene Expression Signature of BRAF Inhibitor Resistant Melanoma Spheroids, Pathology & Oncology Research, 26, 4, 2020. Crossref

  2. Ramamoorthy Prabhu, Thomas Sufi Mary, Kaushik Gaurav, Subramaniam Dharmalingam, Chastain Katherine M., Dhar Animesh, Tawfik Ossama, Kasi Anup, Sun Weijing, Ramalingam Satish, Gunewardena Sumedha, Umar Shahid, Mammen Joshua M., Padhye Subhash B., Weir Scott J., Jensen Roy A., Sittampalam G. Sitta, Anant Shrikant, Metastatic Tumor-in-a-Dish, a Novel Multicellular Organoid to Study Lung Colonization and Predict Therapeutic Response, Cancer Research, 79, 7, 2019. Crossref

  3. Sheng Fei, Jia Rui-peng, The design basis and application in urology of the tumor-on-a-chip platform, Urologic Oncology: Seminars and Original Investigations, 40, 7, 2022. Crossref

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