Abstract 4298: Nanomagnetic levitation based 3-D cultures of breast and colon cancer cells for high throughput drug screening and xenograft studies

Author(s):  
Harvey L. Bumpers ◽  
Janagama D. Goud ◽  
Wayne L. DeBeatham ◽  
Upender Manne
2012 ◽  
Vol 30 (30_suppl) ◽  
pp. 9-9
Author(s):  
Taku Nakahara ◽  
Diane McCarthy ◽  
Yoshiaki Miura ◽  
Hidehisa Asada

9 Background: While the importance of glycosylation in many cancers is well established, the use of glycomics in biomarker research has lagged behind genomics and proteomics. This is due, in part, to the lack of practical platforms capable of analyzing clinically relevant sample numbers. To address these challenges, we have developed a novel glycomics technology (the GlycanMap platform) that combines a high-throughput assay with custom bioinformatics and rapidly provides both biomarker candidates and information on the underlying biology. Methods: N-glycans were enzymatically released from their parent glycoproteins and captured on chemoselective beads. After washing to remove non-glycan components, purified glycans were derivatized to stabilize labile sialic acids and released from the beads. The steps described above were automated on a 96-well format robotics system to maximize throughput and reduce variability and can be performed in less than 24 hours. Released glycans were analyzed by MALDI-TOF MS using internal standards to facilitate quantitation. In addition to comparing individual glycans between groups, glycan changes were also analyzed with respect to known glycan biosynthetic pathways. Results: The automated assay was compatible with multiple biological sample types, including serum/plasma, tissue, and cell lysates. Human serum was used to assess assay performance and yielded 50-60 glycans with CVs of 10-15% and good linearity. The lower limit of detection was approximately 100 nM. The assay was applied to drug-treated colon cancer cells (HCT116) and revealed significant (> 2-fold) changes in 17 glycans. Projection of these glycan changes on the known N-glycan pathway showed that the most significant changes occurred in the medial-Golgi. Conclusions: We have developed and optimized a high-throughput glycomics platform to facilitate large-scale biomarker studies and assured its practical performance in terms of sensitivity, repeatability, and linearity. Application of this assay to drug-treated colon cancer cells demonstrated that projection of individual glycan changes against known glycan pathways provided additional information about biological mechanism and relevance.


2017 ◽  
Vol 22 (5) ◽  
pp. 507-515 ◽  
Author(s):  
Pradip Shahi Thakuri ◽  
Hossein Tavana

Spheroids of cancer cells represent a physiologic model of solid tumors for cancer drug screening. Despite this known benefit, difficulties with generating large quantities of uniformly sized spheroids in standard plates, individually addressing spheroids with drug compounds, and quantitatively analyzing responses of cancer cells have hindered the use of spheroids in high-throughput screening applications. Recently, we addressed this challenge by using an aqueous two-phase system technology to generate a spheroid within an aqueous drop immersed in a second, immiscible aqueous phase. Integrating this approach with robotics resulted in convenient formation, maintenance, and drug treatment of spheroids. Here, we demonstrate the feasibility of high-throughput compound screening against colon cancer spheroids using 25 anticancer compounds. Using a strictly standardized mean difference and based on a preliminary testing with each compound, we select effective compounds for further dose-response testing. Finally, we use molecular inhibitors to target upregulated protein kinases and use them for drug combination studies against spheroids. We quantitatively analyze the combination treatment results using statistical metrics to identify synergy between pairs of inhibitors in compromising viability of colon cancer cells. This study demonstrates the utility of our spheroid culture technology for identification of effective drug compounds, dose-response analysis, and combination drug treatments.


2012 ◽  
Vol 4 (1-2) ◽  
pp. 21-27
Author(s):  
Ailun Heather Tseng ◽  
Feng-Hsiang Chung ◽  
Hoong-Chien Lee ◽  
Li-Ching Wu ◽  
Chang-Han Chen ◽  
...  

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