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用于基因组学和蛋白质组学的活三维黑色素瘤细胞培养物的延时分析和显微切割

Time-lapse analysis and microdissection of living 3D melanoma cell cultures for genomics and proteomics.

作者信息

Demou Zoe N

机构信息

Children's Memorial Research Center, Department of Pediatrics, Northwestern University Feinberg School of Medicine, 2300 Children's Plaza, Box 204, Chicago, Illinois 60614-4314, USA.

出版信息

Biotechnol Bioeng. 2008 Oct 1;101(2):307-16. doi: 10.1002/bit.21899.

Abstract

A novel technique is presented for the monitoring and morphological characterization of 3D cell cultures targeted for laser capture microdissection (LCM). A custom-made chamber enables time-lapse topography and pre-selection of cell targets in order to minimize microdissection time, optimizing the quality of biomolecules for downstream analyses. The method complements the recently presented novel application of LCM in living 3D cultures, whose compatibility with standard genomics and proteomics assays such as microarrays, real-time PCR, and 2D gel electrophoresis is further corroborated here. Specifically, the above techniques are employed in tandem to study, as a proof of principle, the dynamics of in vitro vasculogenic mimicry. It was shown previously that aggressive melanoma cells spontaneously differentiate on collagen gels into vascular-like networks with strong endogenous angiogenic potential. Here the evolution of vasculogenic mimicry was quantified by three time-dependent variables: the distribution of the vascular-like network lengths, widths, and area coverage. Based on these morphological descriptors the networks were locally classified over time as "early" or "mature" stage. LCM of networks and randomly oriented cells followed by real-time PCR for select genes revealed that differential expression was time-dependent and increased with network maturity. The method is widely applicable for microgenomics and microproteomics analyses in phenotypically evolving 3D cultures (i.e., of stem cells), under spontaneous or directed differentiation. Therefore beyond enabling future rigorous analyses on the mechanistics of vasculogenic mimicry, it provides a practical discovery engine for a range of developmental studies and tissue regenerative engineering applications.

摘要

本文介绍了一种用于监测和形态表征三维细胞培养物的新技术,该三维细胞培养物是激光捕获显微切割(LCM)的目标对象。定制的培养室可实现延时形貌观察和细胞靶点的预选择,以尽量缩短显微切割时间,优化生物分子质量用于下游分析。该方法补充了最近提出的LCM在活的三维培养物中的新应用,本文进一步证实了其与标准基因组学和蛋白质组学分析(如微阵列、实时PCR和二维凝胶电泳)的兼容性。具体而言,上述技术被串联使用,作为原理验证来研究体外血管生成拟态的动力学。先前研究表明,侵袭性黑色素瘤细胞在胶原凝胶上自发分化为具有强大内源性血管生成潜力的血管样网络。在此,通过三个时间依赖性变量对血管生成拟态的演变进行了量化:血管样网络长度、宽度和面积覆盖率的分布。基于这些形态学描述符,随着时间的推移,网络被局部分类为“早期”或“成熟”阶段。对网络和随机取向的细胞进行LCM,然后对选定基因进行实时PCR,结果显示差异表达是时间依赖性的,并且随着网络成熟度增加。该方法广泛适用于在自发或定向分化下的表型演变的三维培养物(即干细胞)中的微基因组学和微蛋白质组学分析。因此,该方法不仅能够对血管生成拟态的机制进行未来的严格分析,还为一系列发育研究和组织再生工程应用提供了一个实用的发现引擎。

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