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Chapter title |
Standardized Multi-Color Flow Cytometry and Computational Biomarker Discovery
|
---|---|
Chapter number | 15 |
Book title |
Suppression and Regulation of Immune Responses
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Published in |
Methods in molecular biology, January 2016
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DOI | 10.1007/978-1-4939-3139-2_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3138-5, 978-1-4939-3139-2
|
Authors |
Stephan Schlickeiser, Mathias Streitz, Birgit Sawitzki, Schlickeiser, Stephan, Streitz, Mathias, Sawitzki, Birgit |
Abstract |
Multi-color flow cytometry has become a valuable and highly informative tool for diagnosis and therapeutic monitoring of patients with immune deficiencies or inflammatory disorders. However, the method complexity and error-prone conventional manual data analysis often result in a high variability between different analysts and research laboratories. Here, we provide strategies and guidelines aiming at a more standardized multi-color flow cytometric staining and unsupervised data analysis for whole blood patient samples. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 17% |
Researcher | 2 | 17% |
Student > Ph. D. Student | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 4 | 33% |
Biochemistry, Genetics and Molecular Biology | 3 | 25% |
Agricultural and Biological Sciences | 1 | 8% |
Computer Science | 1 | 8% |
Unknown | 3 | 25% |