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Je něco špatně v tomto záznamu ?
Technical aspects and recommendations for single-cell qPCR
A. Ståhlberg, M. Kubista,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
- MeSH
- analýza jednotlivých buněk metody MeSH
- kvantitativní polymerázová řetězová reakce metody MeSH
- lidé MeSH
- polymerázová řetězová reakce MeSH
- stanovení celkové genové exprese metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Single cells are basic physiological and biological units that can function individually as well as in groups in tissues and organs. It is central to identify, characterize and profile single cells at molecular level to be able to distinguish different kinds, to understand their functions and determine how they interact with each other. During the last decade several technologies for single-cell profiling have been developed and used in various applications, revealing many novel findings. Quantitative PCR (qPCR) is one of the most developed methods for single-cell profiling that can be used to interrogate several analytes, including DNA, RNA and protein. Single-cell qPCR has the potential to become routine methodology but the technique is still challenging, as it involves several experimental steps and few molecules are handled. Here, we discuss technical aspects and provide recommendation for single-cell qPCR analysis. The workflow includes experimental design, sample preparation, single-cell collection, direct lysis, reverse transcription, preamplification, qPCR and data analysis. Detailed reporting and sharing of experimental details and data will promote further development and make validation studies possible. Efforts aiming to standardize single-cell qPCR open up means to move single-cell analysis from specialized research settings to standard research laboratories.
Citace poskytuje Crossref.org
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- $a Ståhlberg, Anders $u Sahlgrenska Cancer Center, Department of Pathology and Genetics, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Box 425, 40530 Gothenburg, Sweden. Electronic address: anders.stahlberg@gu.se.
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