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Cao S, Lin C, Liang S, Tan CH, Er Saw P, Xu X. Enhancing Chemotherapy by RNA Interference. BIO INTEGRATION 2020. [DOI: 10.15212/bioi-2020-0003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Abstract Small interfering RNA (siRNA) has shown tremendous potential for treating human diseases in the past decades. siRNA can selectively silence a pathological pathway through the targeting and degradation of a specific mRNA, significantly reducing the off-target side
effects of anticancer drugs. However, the poor pharmacokinetics of RNA significantly restricted the clinical use of RNAi technology. In this review, we examine in-depth the siRNA therapeutics currently in preclinical and clinical trials, multiple challenges faced in siRNA therapy, feasibility
of siRNA treatment with anticancer drugs in combined with siRNA in nanoparticles or modified to be parental drugs, sequential therapy of siRNA treatment prior to drug treatment with siRNA and drugs loaded in nanoparticles. We focused on the combinatorial activation of apoptosis by different
pathways, namely Bcl-2, survivin, and Pgp protein. Taken together, this review would serve to establish the pathway of effective and efficient combination therapy of siRNA and drugs as a new strategy.
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Affiliation(s)
- Shuwen Cao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chunhao Lin
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shunung Liang
- The First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Baiyun District, Guangzhou, China
| | - Chee Hwee Tan
- The First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Baiyun District, Guangzhou, China
| | - Phei Er Saw
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoding Xu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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Abstract
The discovery of RNA interference (RNAi) and the development of technologies exploiting its biology have enabled scientists to rapidly examine the consequences of depleting a particular gene product in a cell or an animal. The availability of genome-wide RNAi libraries targeting the mouse and human genomes has made it possible to carry out large scale, phenotype-based screens, which have yielded seminal information on diverse cellular processes ranging from virology to cancer biology. Today, several strategies are available to perform RNAi screens, each with their own technical and monetary considerations. Special care and budgeting must be taken into account during the design of these screens in order to obtain reliable results. In this review, we discuss a number of critical aspects to consider when planning an effective RNAi screening strategy, including selecting the right biological system, designing an appropriate selection scheme, optimizing technical aspects of the screen, and validating and verifying the hits. Similar to an artistic production, what happens behind the screen has a direct impact on its success.
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Affiliation(s)
- Eric Campeau
- Translational Biology Group, Calgary, AB, Canada.
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Bakstad D, Adamson A, Spiller DG, White MRH. Quantitative measurement of single cell dynamics. Curr Opin Biotechnol 2012; 23:103-9. [PMID: 22137453 DOI: 10.1016/j.copbio.2011.11.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2011] [Revised: 11/04/2011] [Accepted: 11/07/2011] [Indexed: 01/24/2023]
Abstract
Over the past 20 years luminescent and fluorescent imaging assays have been developed to report on the dynamics of transcription and protein translocation in single cells. The combination of these measurements with mathematical analysis is having an increasingly significant impact on cell biology. There is an urgent need to translate these assays to the study of cells and tissues in vivo, which requires new tools and technologies. Emergence of these new tools and techniques will further the understanding of the role of signalling and transcriptional dynamics in the generation of cellular heterogeneity and the control of cell fate.
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Döring Y, Noels H, Weber C. The Use of High-Throughput Technologies to Investigate Vascular Inflammation and Atherosclerosis. Arterioscler Thromb Vasc Biol 2012; 32:182-95. [DOI: 10.1161/atvbaha.111.232686] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The greatest challenge of scientific research is to understand the causes and consequences of disease. In recent years, great efforts have been devoted to unraveling the basic mechanisms of atherosclerosis (the underlying pathology of cardiovascular disease), which remains a major cause of morbidity and mortality worldwide. Because of the complex and multifactorial pathophysiology of cardiovascular disease, different research techniques have increasingly been combined to unravel genetic aspects, molecular pathways, and cellular functions involved in atherogenesis, vascular inflammation, and dyslipidemia to gain a multifaceted picture addressing this complexity. Thanks to the rapid evolution of high-throughput technologies, we are now able to generate large-scale data on the DNA, RNA, and protein levels. With the help of sophisticated computational tools, these data sets are integrated to enhance information extraction and are being increasingly used in a systems biology approach to model biological processes as interconnected and regulated networks. This review exemplifies the use of high-throughput technologies—such as genomics, transcriptomics, proteomics, and epigenomics—and systems biology to explore pathomechanisms of vascular inflammation and atherosclerosis.
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Affiliation(s)
- Yvonne Döring
- From the Institute for Cardiovascular Prevention, Ludwig-Maximilians-University Munich, Munich, Germany (Y.D., C.W.); Institute for Molecular Cardiovascular Research, Rheinisch-Westfälische Technische Hochschule Aachen University, University Clinic Aachen, Aachen, Germany (H.N.); Munich Heart Alliance, Munich, Germany (C.W.); Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands (C.W.)
| | - Heidi Noels
- From the Institute for Cardiovascular Prevention, Ludwig-Maximilians-University Munich, Munich, Germany (Y.D., C.W.); Institute for Molecular Cardiovascular Research, Rheinisch-Westfälische Technische Hochschule Aachen University, University Clinic Aachen, Aachen, Germany (H.N.); Munich Heart Alliance, Munich, Germany (C.W.); Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands (C.W.)
| | - Christian Weber
- From the Institute for Cardiovascular Prevention, Ludwig-Maximilians-University Munich, Munich, Germany (Y.D., C.W.); Institute for Molecular Cardiovascular Research, Rheinisch-Westfälische Technische Hochschule Aachen University, University Clinic Aachen, Aachen, Germany (H.N.); Munich Heart Alliance, Munich, Germany (C.W.); Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands (C.W.)
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