Expanding the Diversity of Imaging-Based RNAi Screen Applications Using Cell Spot Microarrays.

Juha K Rantala, Sunjong Kwon, James Korkola, Joe W Gray
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引用次数: 10

Abstract

Over the past decade, great strides have been made in identifying gene aberrations and deregulated pathways that are associated with specific disease states. These association studies guide experimental studies aimed at identifying the aberrant genes and networks that cause the disease states. This requires functional manipulation of these genes and networks in laboratory models of normal and diseased cells. One approach is to assess molecular and biological responses to high-throughput RNA interference (RNAi)-induced gene knockdown. These responses can be revealed by immunofluorescent staining for a molecular or cellular process of interest and quantified using fluorescence image analysis. These applications are typically performed in multiwell format, but are limited by high reagent costs and long plate processing times. These limitations can be mitigated by analyzing cells grown in cell spot microarray (CSMA) format. CSMAs are produced by growing cells on small (~200 mm diameter) spots with each spot carrying an siRNA with transfection reagent. The spacing between spots is only a few hundred micrometers, thus thousands of cell spots can be arranged on a single cell culture surface. These high-density cell cultures can be immunofluorescently stained with minimal reagent consumption and analyzed quickly using automated fluorescence microscopy platforms. This review covers basic aspects of imaging-based CSMA technology, describes a wide range of immunofluorescence assays that have already been implemented successfully for CSMA screening and suggests future directions for advanced RNAi screening experiments.

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利用细胞点微阵列扩展基于成像的RNAi筛选应用的多样性。
在过去的十年中,在识别与特定疾病状态相关的基因畸变和解除管制的途径方面取得了巨大进展。这些关联研究指导了旨在识别导致疾病状态的异常基因和网络的实验研究。这需要在正常和患病细胞的实验室模型中对这些基因和网络进行功能操作。一种方法是评估高通量RNA干扰(RNAi)诱导的基因敲低的分子和生物学反应。这些反应可以通过免疫荧光染色对感兴趣的分子或细胞过程进行揭示,并使用荧光图像分析进行量化。这些应用通常以多井形式进行,但受到高试剂成本和长板处理时间的限制。这些限制可以通过分析细胞斑点微阵列(CSMA)格式生长的细胞来减轻。csma是通过在小的(直径约200毫米)斑点上培养细胞产生的,每个斑点携带siRNA,并用转染试剂进行转染。斑点之间的间距只有几百微米,因此在单个细胞培养表面上可以排列数千个细胞斑点。这些高密度细胞培养物可以用最小的试剂消耗进行免疫荧光染色,并使用自动荧光显微镜平台快速分析。本文综述了基于成像的CSMA技术的基本方面,描述了已经成功用于CSMA筛选的广泛免疫荧光分析,并提出了先进RNAi筛选实验的未来方向。
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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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