High-resolution Identification and Separation of Living Cell Types by Multiple microRNA-responsive Synthetic mRNAs

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Endo, Kei ^a,b   Hayashi, Karin ^a   Saito, Hirohide ^a  

^a KYOTO UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ENHANCED GREEN FLUORESCENT PROTEIN; GREEN FLUORESCENT PROTEIN; MESSENGER RNA; MICRORNA; PHOTOPROTEIN; RED FLUORESCENT PROTEIN;

CELL SEPARATION; CHEMISTRY; GENE EXPRESSION REGULATION; GENETIC TRANSFECTION; GENETICS; HELA CELL LINE; HUMAN; MCF-7 CELL LINE; METABOLISM; PLASMID; PROCEDURES; REPORTER GENE; SYNTHESIS;

CELL SEPARATION; GENE EXPRESSION REGULATION; GENES, REPORTER; GREEN FLUORESCENT PROTEINS; HELA CELLS; HUMANS; LUMINESCENT PROTEINS; MCF-7 CELLS; MICRORNAS; PLASMIDS; RNA, MESSENGER; TRANSFECTION;

EID: 84959132601     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep21991     Document Type: Article

References (27)

1. Vickaryous, M. K. & Hall, B. K. Human cell type diversity, evolution, development, and classification with special reference to cells derived from the neural crest. Biol. Rev. Camb. Philos. Soc. 81, 425-455 (2006).
2. Dubois, N. C. et al. SIRPA is a specific cell-surface marker for isolating cardiomyocytes derived from human pluripotent stem cells. Nat. Biotechnol. 29, 1011-1018 (2011).
3. Elliott, D. A. et al. NKX2-5(eGFP/w) hESCs for isolation of human cardiac progenitors and cardiomyocytes. Nat. Methods 8, 1037-1040 (2011).
4. Kelly, O. G. et al. Cell-surface markers for the isolation of pancreatic cell types derived from human embryonic stem cells. Nat. Biotechnol. 29, 750-756 (2011).
5. O'Malley, J. et al. High-resolution analysis with novel cell-surface markers identifies routes to iPS cells. Nature 499, 88-91 (2013).
6. Jaitin, D. A. et al. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343, 776-779 (2014).
7. Ameres, S. L. & Zamore, P. D. Diversifying microRNA sequence and function. Nat. Rev. Mol. Cell Biol. 14, 475-488 (2013).
8. Iwakawa, H. O. & Tomari, Y. The functions of microRNAs: mRNA decay and translational repression. Trends Cell Biol. 25, 651-665 (2015).
9. Rosenfeld, N. et al. MicroRNAs accurately identify cancer tissue origin. Nat. Biotechnol. 26, 462-469 (2008).
10. Volinia, S. et al. Breast cancer signatures for invasiveness and prognosis defined by deep sequencing of microRNA. Proc. Natl. Acad. Sci. USA. 109, 3024-3029 (2012).
11. Tang, F., Hajkova, P., Barton, S. C., Lao, K. & Surani, M. A. MicroRNA expression profiling of single whole embryonic stem cells. Nucleic Acids Res. 34, e9 (2006).
12. Dvinge, H. et al. The shaping and functional consequences of the microRNA landscape in breast cancer. Nature 497, 378-382 (2013).
13. Landgraf, P. et al. A mammalian microRNA expression atlas based on small RNA library sequencing. Cell 129, 1401-1414 (2007).
14. Siomi, H. & Siomi, M. C. Posttranscriptional regulation of microRNA biogenesis in animals. Mol. Cell 38, 323-332 (2010).
15. Miki, K. et al. Efficient detection and purification of cell populations using synthetic microRNA switches. Cell Stem Cell 16, 699-711 (2015).
16. Neveu, P. et al. MicroRNA profiling reveals two distinct p53-related human pluripotent stem cell states. Cell Stem Cell 7, 671-681 (2010).
17. Nims, R. W., Sykes, G., Cottrill, K., Ikonomi, P. & Elmore, E. Short tandem repeat profiling: part of an overall strategy for reducing the frequency of cell misidentification. In Vitro Cell. Dev. Biol. Anim. 46, 811-819 (2010).
18. Shin, C. et al. Expanding the microRNA targeting code: functional sites with centered pairing. Mol. Cell 38, 789-802 (2010).
19. Tavernier, G. et al. mRNA as gene therapeutic: how to control protein expression. J Control. Release 150, 238-247 (2011).
20. Xie, Z., Wroblewska, L., Prochazka, L., Weiss, R. & Benenson, Y. Multi-input RNAi-based logic circuit for identification of specific cancer cells. Science 333, 1307-1311 (2011).
21. Wroblewska, L. et al. Mammalian synthetic circuits with RNA binding proteins for RNA-only delivery. Nat. Biotechnol. 33, 839-841 (2015).
22. Ausländer, S., Ausländer, D., Müller, M., Wieland, M. & Fussenegger, M. Programmable single-cell mammalian biocomputers. Nature 487, 123-127 (2012).
23. Daigle, N. & Ellenberg, J. λN-GFP: an RNA reporter system for live-cell imaging. Nat. Methods 4, 633-636 (2007).
24. Endo, K., Stapleton, J. A., Hayashi, K., Saito, H. & Inoue, T. Quantitative and simultaneous translational control of distinct mammalian mRNAs. Nucleic Acids Res. 41, e135 (2013).
25. Tung, J. W., Parks, D. R., Moore, W. A., Herzenberg, L. A. & Herzenberg, L. A. New approaches to fluorescence compensation and visualization of FACS data. Clin. Immunol. 110, 277-283 (2004).
26. Endo, K. & Saito, H. Engineering protein-responsive mRNA switch in Mammalian cells. Methods Mol. Biol. 1111, 183-196 (2014).
27. Kamentsky, L. et al. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics 27, 1179-80 (2011).