2015
DOI: 10.1371/journal.pone.0118628
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A Computer-Assisted 3D Model for Analyzing the Aggregation of Tumorigenic Cells Reveals Specialized Behaviors and Unique Cell Types that Facilitate Aggregate Coalescence

Abstract: We have developed a 4D computer-assisted reconstruction and motion analysis system, J3D-DIAS 4.1, and applied it to the reconstruction and motion analysis of tumorigenic cells in a 3D matrix. The system is unique in that it is fast, high-resolution, acquires optical sections using DIC microscopy (hence there is no associated photoxicity), and is capable of long-term 4D reconstruction. Specifically, a z-series at 5 μm increments can be acquired in less than a minute on tissue samples embedded in a 1.5 mm thick … Show more

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Cited by 11 publications
(76 citation statements)
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“…Attachment of facilitators to probes or between probes of different aggregates initiates additional cells to extend along the attachment to form a multicellular cable that then contracts, always pulling the smaller aggregate into the larger one [19]. A similar mechanism was observed in the mediation of aggregate-aggregate coalescence in 3D melanoma cell preparations.…”
Section: Resultsmentioning
confidence: 98%
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“…Attachment of facilitators to probes or between probes of different aggregates initiates additional cells to extend along the attachment to form a multicellular cable that then contracts, always pulling the smaller aggregate into the larger one [19]. A similar mechanism was observed in the mediation of aggregate-aggregate coalescence in 3D melanoma cell preparations.…”
Section: Resultsmentioning
confidence: 98%
“…In this model, non-tumorigenic cell lines and fresh breast tissue cell culture did not undergo coalescence [18, 19]. In the process of coalescence in these preparations, single cells in Matrigel grew into clonal islands during a precoalescence period.…”
Section: Discussionmentioning
confidence: 99%
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“…Powerful methods for reconstructing and live 3D in vivo analysis of the process of cancer cell aggregation and growth have already been documented, however, they rely on the use of sophisticated microscopy and/or image processing tools (14,15). The approach reported in the present study aims to provide a simple, robust pipeline to do so based on technologies that are readily available to many investigators.…”
Section: Resultsmentioning
confidence: 99%