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La Spada A, Baronchelli S, Ottoboni L, Ruffini F, Martino G, Convertino N, Ntai A, Steiner T, Biunno I, De Blasio A. Cell Line Macroarray: An Alternative High-Throughput Platform to Analyze hiPSC Lines. J Histochem Cytochem 2016; 64:739-751. [PMID: 27798288 DOI: 10.1369/0022155416673969] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 09/06/2016] [Indexed: 12/28/2022] Open
Abstract
In the past decade, tissue microarray (TMA) technology has evolved as an innovative tool for high-throughput proteomics analysis and mainly for biomarker validation. Similarly, enormous amount of data can be obtained from the cell line macroarray (CLMA) technology, which developed from the TMA using formalin-fixed, paraffin-embedded cell pellets. Here, we applied CLMA technology in stem cell research and in particular to identify bona fide neogenerated human induced pluripotent stem cell (hiPSC) clones suitable for down the line differentiation. All hiPSC protocols generate tens of clones, which need to be tested to determine genetically stable cell lines suitable for differentiation. Screening methods generally rely on fluorescence-activated cell sorting isolation and coverslip cell growth followed by immunofluorescence; these techniques could be cumbersome. Here, we show the application of CLMA to identify neogenerated pluripotent cell colonies and neuronal differentiated cell products. We also propose the use of the automated image analyzer, TissueQuest, as a reliable tool to quickly select the best clones, based upon the level of expression of multiple pluripotent biomarkers.
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Affiliation(s)
- Alberto La Spada
- Institute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB)
| | - Simona Baronchelli
- Institute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB)
| | - Linda Ottoboni
- Institute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM)
| | - Francesca Ruffini
- Institute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM)
| | - Gianvito Martino
- Institute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM)
| | | | | | | | - Ida Biunno
- Institute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB).,IRCCS MultiMedica, Milan, Italy (NC, IB)
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Jonczyk R, Kurth T, Lavrentieva A, Walter JG, Scheper T, Stahl F. Living Cell Microarrays: An Overview of Concepts. MICROARRAYS (BASEL, SWITZERLAND) 2016; 5:E11. [PMID: 27600077 PMCID: PMC5003487 DOI: 10.3390/microarrays5020011] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 05/09/2016] [Accepted: 05/11/2016] [Indexed: 02/06/2023]
Abstract
Living cell microarrays are a highly efficient cellular screening system. Due to the low number of cells required per spot, cell microarrays enable the use of primary and stem cells and provide resolution close to the single-cell level. Apart from a variety of conventional static designs, microfluidic microarray systems have also been established. An alternative format is a microarray consisting of three-dimensional cell constructs ranging from cell spheroids to cells encapsulated in hydrogel. These systems provide an in vivo-like microenvironment and are preferably used for the investigation of cellular physiology, cytotoxicity, and drug screening. Thus, many different high-tech microarray platforms are currently available. Disadvantages of many systems include their high cost, the requirement of specialized equipment for their manufacture, and the poor comparability of results between different platforms. In this article, we provide an overview of static, microfluidic, and 3D cell microarrays. In addition, we describe a simple method for the printing of living cell microarrays on modified microscope glass slides using standard DNA microarray equipment available in most laboratories. Applications in research and diagnostics are discussed, e.g., the selective and sensitive detection of biomarkers. Finally, we highlight current limitations and the future prospects of living cell microarrays.
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Affiliation(s)
- Rebecca Jonczyk
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
| | - Tracy Kurth
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
| | - Antonina Lavrentieva
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
| | - Johanna-Gabriela Walter
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
| | - Thomas Scheper
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
| | - Frank Stahl
- Institute of Technical Chemistry, Leibniz University of Hannover, Callinstr. 5, Hannover 30167, Germany.
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Abstract
Microarray technology, with its high-throughput advantage, has been applied to analyze various biomaterials, such as nucleic acids, proteins, glycans, peptides, and cells.
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D'Urso DG, La Spada A, Tramonte T, Rainoldi B, De Blasio A. Evaluation of cross-sample contamination in tissue microarrays by polymerase chain reaction. Biopreserv Biobank 2015; 13:219-23. [PMID: 26035013 DOI: 10.1089/bio.2014.0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In the past decade, the popularity and power of Tissue Microarray (TMA) technology has increased since it provides a method to detect diagnostic and prognostic markers in an array of clinical tissue specimens collected for translational research. TMAs allow for rapid and cost-effective analysis of hundreds of molecular markers at the nucleic acid and protein levels. This technology is particularly useful in the realization of the Human Protein Atlas Project, since it aims to create a reference database of non-redundant human proteins. In this context, it is important to assure the lack of cross-sample contamination due to the repeated use of the same needle in consecutive coring. Here we show that carry-over contamination from one tissue core to another does not occur, reinforcing the accuracy of the TMA technology in the simultaneous testing of multiple bio-samples.
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