class='head no_bottom_margin' id='sec1title'>Int'/> Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions
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Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions

机译:乳腺癌细胞的单细胞跟踪能够从早期细胞分裂中预测球的形成。

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class="head no_bottom_margin" id="sec1title">IntroductionThe cancer stem cell theory holds that there is a small sub-population of cells within a tumor that drives tumorigenesis and is capable of repopulating the tumor bulk from one cell (, , , ). Although this theory remains controversial (, ), it has become widely accepted and there are numerous assays for elucidating the stem-like character of cancer cells. One property of breast cancer stem cells is that they can survive detachment from the extracellular matrix (, ). Detached stem cells also retain the capability of proliferating (, ). As such, the sphere formation of suspended cells is hypothesized to be a method to assay for the self-renewal potential in vitro (). This property, first investigated in neural cells, was further adapted for mammary epithelial cells and termed the mammosphere assay (). In brief, suspended cells are cultured in serum-free media containing growth factors. The fraction that survives to form spheroid colonies (mammospheres) is deemed more stem-like. This is often followed by monitoring the alterations in sphere formation following treatment (, , , href="#bib35" rid="bib35" class=" bibr popnode">Reynolds et al., 2017). Treatments that lower the sphere-forming efficiency (SFE, [spheres/cells seeded]*100) of a population are hypothesized to have reduced the stem-like sub-population of the cells.MCF-7 human breast carcinoma cells are widely used in the mammosphere assay (href="#bib1" rid="bib1" class=" bibr popnode">Akrap et al., 2016, href="#bib10" rid="bib10" class=" bibr popnode">Fu et al., 2016, href="#bib11" rid="bib11" class=" bibr popnode">Grimshaw et al., 2008, href="#bib15" rid="bib15" class=" bibr popnode">Guttilla et al., 2012, href="#bib16" rid="bib16" class=" bibr popnode">Hinohara et al., 2012, href="#bib25" rid="bib25" class=" bibr popnode">Manuel Iglesias et al., 2013, href="#bib47" rid="bib47" class=" bibr popnode">Zhang et al., 2011). These luminal-type cells have been observed to make very cohesive, easily defined spheres. However, the problem is SFEs are quite disparate between reports and have ranged from 1% to 20% depending on the conditions (href="#bib6" rid="bib6" class=" bibr popnode">de la Mare et al., 2013, href="#bib27" rid="bib27" class=" bibr popnode">Montales et al., 2012, href="#bib29" rid="bib29" class=" bibr popnode">Morrison et al., 2012). Many factors could be contributing to these discrepancies, including growth media composition, counting procedures, and variability between different human operators performing the same assay. Of utmost importance, however, is the seeding density (href="#bib37" rid="bib37" class=" bibr popnode">Shaw et al., 2012). Due to the mobile nature of cells in suspension, cells drift and collide, leading to an aggregation tendency that is proportional to the cell density (href="#bib41" rid="bib41" class=" bibr popnode">Tolbert et al., 1980). This is problematic because clonality is an integral concept to the mammosphere assay (href="#bib37" rid="bib37" class=" bibr popnode">Shaw et al., 2012). Mammospheres should arise from a single cell to effectively measure stem-like propagation.Attempts to address aggregation have been reported (href="#bib25" rid="bib25" class=" bibr popnode">Manuel Iglesias et al., 2013, href="#bib33" rid="bib33" class=" bibr popnode">Patel and Rameshwar, 2013, href="#bib36" rid="bib36" class=" bibr popnode">Rota et al., 2012, href="#bib37" rid="bib37" class=" bibr popnode">Shaw et al., 2012). There is no common protocol, however, and seeding densities up to 100,000 cells/mL have been reported. Varying densities can lead to large differences in SFE (href="#bib37" rid="bib37" class=" bibr popnode">Shaw et al., 2012) and beg the question of how to interpret results. If a drug treatment lowers the sphere count in an experiment, can that result be interpreted as an effect on SFE or aggregation? To completely remove results confounded by aggregates we visually tracked 1,823 verified single cells over the course of 14 days, monitoring the cell count, sphere size, and morphology.
机译:<!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ head no_bottom_margin” id =“ sec1title”>简介癌症干细胞理论认为,驱动肿瘤发生并能够从一个细胞(````,)重新填充肿瘤块的肿瘤。尽管该理论仍存在争议(),但它已被广泛接受,并且有许多测定方法可阐明癌细胞的茎样特性。乳腺癌干细胞的一个特性是,它们可以脱离细胞外基质而幸免于难。分离的干细胞还保留了增殖能力。因此,假设悬浮细胞的球形形成是一种测定体外自我更新潜力的方法。首先在神经细胞中研究过的这种特性进一步适用于乳腺上皮细胞,并称为乳球测定()。简而言之,将悬浮细胞在含有生长因子的无血清培养基中培养。幸存下来形成球形菌落(乳球)的部分被认为更像茎。这通常是通过监测治疗后球体形成的变化来实现的(,,,,href="#bib35" rid="bib35" class=" bibr popnode"> Reynolds等,2017 )。有人认为降低人群球形成效率的治疗方法(SFE,[植入的球/细胞] * 100)会减少细胞的茎样亚群。MCF-7人乳腺癌细胞被广泛用于乳球测定(href="#bib1" rid="bib1" class=" bibr popnode"> Akrap等人,2016 ,href =“#bib10” rid =“ bib10” class = “ bibr popnode”> Fu等人,2016 ,href="#bib11" rid="bib11" class=" bibr popnode"> Grimshaw等人,2008 ,href =“#bib15” rid =“ bib15” class =“ bibr popnode”> Guttilla et al。,2012 ,href="#bib16" rid="bib16" class=" bibr popnode">日野原等等,2012 ,href="#bib25" rid="bib25" class=" bibr popnode"> Manuel Iglesias et al。,2013 ,href =“#bib47” rid =“ bib47” class =“ bibr popnode”> Zhang等人,2011 )。已经观察到这些管腔型细胞可形成非常粘聚,易于定义的球体。但是,问题在于报告之间的SFE完全不同,并且取决于条件,其范围从1%到20%(href="#bib6" rid="bib6" class=" bibr popnode"> de la Mare等。,2013 ,href="#bib27" rid="bib27" class=" bibr popnode">蒙塔莱斯等人,2012 ,href =“#bib29” rid =“ bib29“ class =” bibr popnode“> Morrison等人,2012 )。许多差异可能导致这些差异,包括生长培养基组成,计数程序以及执行同一分析的不同人工操作者之间的差异。然而,最重要的是播种密度(href="#bib37" rid="bib37" class=" bibr popnode"> Shaw et al。,2012 )。由于悬浮细胞的流动特性,细胞会漂移并发生碰撞,从而导致与细胞密度成比例的聚集趋势(href="#bib41" rid="bib41" class=" bibr popnode"> Tolbert等等,1980 )。这是有问题的,因为克隆性是乳球测定中不可或缺的概念(href="#bib37" rid="bib37" class=" bibr popnode"> Shaw等人,2012 )。哺乳动物球应该来自单个细胞以有效测量茎样繁殖。据报道,尝试解决聚集问题(href="#bib25" rid="bib25" class=" bibr popnode"> Manuel Iglesias et al。,2013 ,href="#bib33" rid="bib33" class=" bibr popnode"> Patel and Rameshwar,2013 ,href =“#bib36” rid =“ bib36” class = “ bibr popnode”> Rota等,2012 ,href="#bib37" rid="bib37" class=" bibr popnode"> Shaw等,2012 )。但是,没有通用的协议,并且已经报道了高达100,000个细胞/ mL的接种密度。密度变化会导致SFE的巨大差异(href="#bib37" rid="bib37" class=" bibr popnode"> Shaw等人,2012 ),并提出了如何解释结果的问题。如果药物治疗降低了实验中的球数,该结果是否可以解释为对SFE或聚集的影响?为了完全消除聚集体造成的混淆结果,我们在14天的过程中以视觉方式跟踪了1,823个已验证的单细胞,并监控了细胞数量,球体大小和形态。

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