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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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] [What about the content of this article? (0)] [Affiliation(s)] [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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