Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling
Summary: This protocol describes the steps to determine an airway microbiome signature for identifying Mycobacterium tuberculosis infection status. We outline procedures for processing microbiome data, calculating diversity measures, and fitting Dirichlet multinomial mixture models. Additionally, we...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | STAR Protocols |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166724007391 |
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| _version_ | 1832595755680923648 |
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| author | Geoffrey Olweny Moses Levi Ntayi Edward Kyalo Alex Kayongo |
| author_facet | Geoffrey Olweny Moses Levi Ntayi Edward Kyalo Alex Kayongo |
| author_sort | Geoffrey Olweny |
| collection | DOAJ |
| description | Summary: This protocol describes the steps to determine an airway microbiome signature for identifying Mycobacterium tuberculosis infection status. We outline procedures for processing microbiome data, calculating diversity measures, and fitting Dirichlet multinomial mixture models. Additionally, we provide steps for analyzing taxonomic relative and differential abundances, as well as identifying potential biomarkers associated with infection status.For complete details on the use and execution of this protocol, please refer to Kayongo et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
| format | Article |
| id | doaj-art-5bdfedfef8974dbfa9f3631fc89515f7 |
| institution | Kabale University |
| issn | 2666-1667 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj-art-5bdfedfef8974dbfa9f3631fc89515f72025-01-18T05:05:13ZengElsevierSTAR Protocols2666-16672025-03-0161103574Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profilingGeoffrey Olweny0Moses Levi Ntayi1Edward Kyalo2Alex Kayongo3Department of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala 256, Uganda; Lung Institute, Makerere University College of Health Sciences, Kampala 256, Uganda; Corresponding authorDepartment of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala 256, Uganda; Lung Institute, Makerere University College of Health Sciences, Kampala 256, UgandaDepartment of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala 256, Uganda; Lung Institute, Makerere University College of Health Sciences, Kampala 256, UgandaDepartment of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala 256, Uganda; Corresponding authorSummary: This protocol describes the steps to determine an airway microbiome signature for identifying Mycobacterium tuberculosis infection status. We outline procedures for processing microbiome data, calculating diversity measures, and fitting Dirichlet multinomial mixture models. Additionally, we provide steps for analyzing taxonomic relative and differential abundances, as well as identifying potential biomarkers associated with infection status.For complete details on the use and execution of this protocol, please refer to Kayongo et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166724007391bioinformaticsimmunologymicrobiology |
| spellingShingle | Geoffrey Olweny Moses Levi Ntayi Edward Kyalo Alex Kayongo Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling STAR Protocols bioinformatics immunology microbiology |
| title | Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling |
| title_full | Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling |
| title_fullStr | Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling |
| title_full_unstemmed | Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling |
| title_short | Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling |
| title_sort | protocol for identifying mycobacterium tuberculosis infection status through airway microbiome profiling |
| topic | bioinformatics immunology microbiology |
| url | http://www.sciencedirect.com/science/article/pii/S2666166724007391 |
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