Literature DB >> 31983266

Pairing Microwell Arrays with an Affordable, Semiautomated Single-Cell Aspirator for the Interrogation of Circulating Tumor Cell Heterogeneity.

Jacob J Tokar1, Charlotte N Stahlfeld2, Jamie M Sperger3, David J Niles1, David J Beebe1,2, Joshua M Lang2,3, Jay W Warrick1.   

Abstract

Comprehensive analysis of tumor heterogeneity requires robust methods for the isolation and analysis of single cells from patient samples. An ideal approach would be fully compatible with downstream analytic methods, such as advanced genomic testing. These endpoints necessitate the use of live cells at high purity. A multitude of microfluidic circulating tumor cell (CTC) enrichment technologies exist, but many of those perform bulk sample enrichment and are not, on their own, capable of single-cell interrogation. To address this, we developed an affordable semiautomated single-cell aspirator (SASCA) to further enrich rare-cell populations from a specialized microwell array, per their phenotypic markers. Immobilization of cells within microwells, integrated with a real-time image processing software, facilitates the detection and precise isolation of targeted cells that have been optimally seeded into the microwells. Here, we demonstrate the platform capabilities through the aspiration of target cells from an impure background population, where we obtain purity levels of 90%-100% and demonstrate the enrichment of the target population with high-quality RNA extraction. A range of low cell numbers were aspirated using SASCA before undergoing whole transcriptome and genome analysis, exhibiting the ability to obtain endpoints from low-template inputs. Lastly, CTCs from patients with castration-resistant prostate cancer were isolated with this platform and the utility of this method was confirmed for rare-cell isolation. SASCA satisfies a need for an affordable option to isolate single cells or highly purified subpopulations of cells to probe complex mechanisms driving disease progression and resistance in patients with cancer.

Entities:  

Keywords:  automation; circulating tumor cells; microwell array; single cell; transcriptomics

Mesh:

Year:  2020        PMID: 31983266      PMCID: PMC8879417          DOI: 10.1177/2472630319898146

Source DB:  PubMed          Journal:  SLAS Technol        ISSN: 2472-6303            Impact factor:   3.047


  49 in total

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4.  The VerIFAST: an integrated method for cell isolation and extracellular/intracellular staining.

Authors:  Benjamin P Casavant; David J Guckenberger; Scott M Berry; Jacob T Tokar; Joshua M Lang; David J Beebe
Journal:  Lab Chip       Date:  2013-02-07       Impact factor: 6.799

5.  Characterization of cell seeding and specific capture of B cells in microbubble well arrays.

Authors:  Meghan C Jones; James J Kobie; Lisa A Delouise
Journal:  Biomed Microdevices       Date:  2013-06       Impact factor: 2.838

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Authors:  T Ozawa; K Kinoshita; S Kadowaki; K Tajiri; S Kondo; R Honda; M Ikemoto; L Piao; A Morisato; K Fukurotani; H Kishi; A Muraguchi
Journal:  Lab Chip       Date:  2008-10-22       Impact factor: 6.799

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8.  Circulating Tumor Cell Composition in Renal Cell Carcinoma.

Authors:  Ivonne Nel; Thomas C Gauler; Kira Bublitz; Lazaros Lazaridis; André Goergens; Bernd Giebel; Martin Schuler; Andreas-Claudius Hoffmann
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

9.  Poisson statistics-mediated particle/cell counting in microwell arrays.

Authors:  Christian D Ahrberg; Jong Min Lee; Bong Geun Chung
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

10.  High Specificity in Circulating Tumor Cell Identification Is Required for Accurate Evaluation of Programmed Death-Ligand 1.

Authors:  Jennifer L Schehr; Zachery D Schultz; Jay W Warrick; David J Guckenberger; Hannah M Pezzi; Jamie M Sperger; Erika Heninger; Anwaar Saeed; Ticiana Leal; Kara Mattox; Anne M Traynor; Toby C Campbell; Scott M Berry; David J Beebe; Joshua M Lang
Journal:  PLoS One       Date:  2016-07-26       Impact factor: 3.240

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  3 in total

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2.  Reversible epigenetic alterations regulate class I HLA loss in prostate cancer.

Authors:  Tamara S Rodems; Erika Heninger; Charlotte N Stahlfeld; Cole S Gilsdorf; Kristin N Carlson; Madison R Kircher; Anupama Singh; Timothy E G Krueger; David J Beebe; David F Jarrard; Douglas G McNeel; Michael C Haffner; Joshua M Lang
Journal:  Commun Biol       Date:  2022-09-01

3.  SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples.

Authors:  Tamara S Rodems; Duane S Juang; Charlotte N Stahlfeld; Cole S Gilsdorf; Tim E G Krueger; Erika Heninger; Shuang G Zhao; Jamie M Sperger; David J Beebe; Michael C Haffner; Joshua M Lang
Journal:  Clin Epigenetics       Date:  2022-03-10       Impact factor: 7.259

  3 in total

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