Optimized DNA extraction and purification method for characterization of bacterial and fungal communities in lung tissue samples
Autor: | Mireya Gutierrez, Fabien Magne, Vicente Pérez-Brocal, Gianna Gatti, Rebeca Bustamante, Viviana San Martin, Sergio L. Vargas, Carolina A. Ponce, Andrés Moya, Susana Ruiz-Ruiz |
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Přispěvatelé: | Ministerio de Economía y Competitividad (España), Generalitat Valenciana, Instituto de Salud Carlos III, Fundación Científica Asociación Española Contra el Cáncer, European Commission, Fondo Nacional de Desarrollo Científico y Tecnológico (Chile) |
Rok vydání: | 2020 |
Předmět: |
DNA
Bacterial 0301 basic medicine Microbial DNA Microorganism lcsh:Medicine Microbial communities Polymerase Chain Reaction Article 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Species Specificity RNA Ribosomal 16S Humans Microbiome DNA Fungal lcsh:Science Lung Illumina dye sequencing Multidisciplinary Bacteria biology Chemistry lcsh:R Fungi biology.organism_classification Isoamyl alcohol DNA extraction 030104 developmental biology Biochemistry Microbial population biology lcsh:Q Microbiology techniques 030217 neurology & neurosurgery |
Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020) Digital.CSIC: Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) Scientific Reports Digital.CSIC. Repositorio Institucional del CSIC instname |
ISSN: | 2045-2322 |
DOI: | 10.1038/s41598-020-74137-2 |
Popis: | This work was supported by grants to AM from the Spanish Ministry of Economy and Competitiveness (projects SAF2012-31187, SAF2013-49788-EXP, SAF2015-65878-R), Carlos III Institute of Health (projects ELAC2014/HID-0254, PIE14/00045 and AC15/00022), Generalitat Valenciana (project PrometeoII/2014/065 and Prometeo/2018/A/133), Asociación Española contra el Cancer (project AECC 2017-1485) and co-financed by the European Regional Development Fund (ERDF). This project has received funding from ERANet LAC (ELAC2014/HID-0254) lead by SLV. This project was also funded by grant from the National Fund for Science and Technology (Fondecyt, Chile) Grant number 1140412 to SLV and Grant number 1191311 to FM. |
Databáze: | OpenAIRE |
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