High-throughput, multiparameter analysis of single cells
| Autor: | Michaela Haider, Zsolt Balogi, Thomas Haselgrübler, Alois Sonnleitner, Kata Juhasz, Bozhi Ji, Jan Hesse |
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| Rok vydání: | 2013 |
| Předmět: |
Proteomics
Computer science Microfluidics Computational biology Ligands Biochemistry Mass Spectrometry Analytical Chemistry Mice Single-cell analysis Neoplasms Nucleic Acids Population Heterogeneity Animals Humans Neoplasm Metastasis Throughput (business) Microscopy Genome Sequence Analysis RNA Proteins Genomics Microfluidic Analytical Techniques Flow Cytometry Molecular biology Heterogeneous population Cancer cell Single-Cell Analysis Transcriptome |
| Zdroj: | Analytical and bioanalytical chemistry. 406(14) |
| ISSN: | 1618-2650 |
| Popis: | Heterogeneity of cell populations in various biological systems has been widely recognized, and the highly heterogeneous nature of cancer cells has been emerging with clinical relevance. Single-cell analysis using a combination of high-throughput and multiparameter approaches is capable of reflecting cell-to-cell variability, and at the same time of unraveling the complexity and interdependence of cellular processes in the individual cells of a heterogeneous population. In this review, analytical methods and microfluidic tools commonly used for high-throughput, multiparameter single-cell analysis of DNA, RNA, and proteins are discussed. Applications and limitations of currently available technologies for cancer research and diagnostics are reviewed in the light of the ultimate goal to establish clinically applicable assays. |
| Databáze: | OpenAIRE |
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