Dataset Information

Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery.

ABSTRACT: Two-dimensional (2D) cell cultures growing on plastic do not recapitulate the three dimensional (3D) architecture and complexity of human tumors. More representative models are required for drug discovery and validation. Here, 2D culture and 3D mono- and stromal co-culture models of increasing complexity have been established and cross-comparisons made using three standard cell carcinoma lines: MCF7, LNCaP, NCI-H1437. Fluorescence-based growth curves, 3D image analysis, immunohistochemistry and treatment responses showed that end points differed according to cell type, stromal co-culture and culture format. The adaptable methodologies described here should guide the choice of appropriate simple and complex in vitro models.

SUBMITTER: Stock K

PROVIDER: S-EPMC4929472 | biostudies-other | 2016

REPOSITORIES: biostudies-other

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Publications

Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery.

Stock Kristin K Estrada Marta F MF Vidic Suzana S Gjerde Kjersti K Rudisch Albin A Santo Vítor E VE Barbier Michaël M Blom Sami S Arundkar Sharath C SC Selvam Irwin I Osswald Annika A Stein Yan Y Gruenewald Sylvia S Brito Catarina C van Weerden Wytske W Rotter Varda V Boghaert Erwin E Oren Moshe M Sommergruber Wolfgang W Chong Yolanda Y de Hoogt Ronald R Graeser Ralph R

Scientific reports 20160701

Two-dimensional (2D) cell cultures growing on plastic do not recapitulate the three dimensional (3D) architecture and complexity of human tumors. More representative models are required for drug discovery and validation. Here, 2D culture and 3D mono- and stromal co-culture models of increasing complexity have been established and cross-comparisons made using three standard cell carcinoma lines: MCF7, LNCaP, NCI-H1437. Fluorescence-based growth curves, 3D image analysis, immunohistochemistry and ...[more]

PMID: 27364600

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Project description:Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity-past, present and future. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3 mm to 30 mm in length. ("Natural-colour" is used to contrast with "false-colour", i.e., colour generated from, or applied to, gray-scale data post-acquisition.) Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control.

Dataset Information

Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery.

Publications

Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery.

Similar Datasets

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