Focused human gene expression profiling using dual-color reverse transcriptase multiplex ligation-dependent probe amplification
| Autor: | Cecile Magis-Escurra, Jelle J. Goeman, Mariëlle C. Haks, Tom H. M. Ottenhoff |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
dcRT-MLPA
Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2] Population Biology Adaptive Immunity Latent Tuberculosis Immunology and Microbiology(all) Gene expression Humans Tuberculosis Multiplex Multiplex ligation-dependent probe amplification education Gene Genetics education.field_of_study General Veterinary General Immunology and Microbiology Public Health Environmental and Occupational Health RNA-Directed DNA Polymerase Microarray Analysis veterinary(all) Reverse transcriptase Immunity Innate Gene expression profiling Infectious Diseases lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] Molecular Medicine Biomarker (medicine) Host biomarkers Multiplex Polymerase Chain Reaction Biomarkers |
| Zdroj: | Vaccine, 33(40), 5282-5288 Vaccine, 33, 40, pp. 5282-5288 Vaccine, 33, 5282-5288 |
| ISSN: | 0264-410X |
| DOI: | 10.1016/j.vaccine.2015.04.054 |
| Popis: | Item does not contain fulltext To investigate the human immune response to newly developed or existing vaccines, or during infection/disease on a population scale, we have recently developed a dual-color Reverse Transcriptase Multiplex Ligation-dependent Probe Amplification (dcRT-MLPA) assay, which can rapidly profile mRNA expression of multiple host genes. dcRT-MLPA has a dynamic range and sensitivity comparable to real-time QPCR and RNA-Sequencing. Since this assay is high-throughput, it is an exceptionally suitable technique for monitoring host biomarkers in semi-large scale human cohorts, such as cross sectional studies with multiple groups, or longitudinal studies with multiple time points. Multicomponent host biomarker signatures with excellent predictive values can easily be identified using lasso regression analysis, while exploring additional data adjustment methods like RUV-2 may further optimize the identification of informative host biomarker signatures. dcRT-MLPA also allows comparisons of gene expression patterns across different human populations to explore the impact of geographical diversity on for example vaccine induced responses. The use of dcRT-MLPA is not limited to peripheral blood but can be adapted to analyze host biomarkers derived from any tissue or body fluids, further demonstrating the versatility of the dcRT-MLPA platform. Several examples will be given and discussed. |
| Databáze: | OpenAIRE |
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