Data

Additional file 1 of Sputum bacterial load and bacterial composition correlate with lung function and are altered by long-term azithromycin treatment in children with HIV-associated chronic lung disease

The University of Western Australia
Abotsi, Regina E. ; Dube, Felix S. ; Rehman, Andrea M. ; Claassen-Weitz, Shantelle ; Xia, Yao ; Simms, Victoria ; Mwaikono, Kilaza S. ; Gardner-Lubbe, Sugnet ; McHugh, Grace ; Ngwira, Lucky G. ; Kwambana-Adams, Brenda ; Heyderman, Robert S. ; Odland, Jon Ø. ; Ferrand, Rashida A. ; Nicol, Mark P.
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.6084/m9.figshare.22601284.v1&rft.title=Additional file 1 of Sputum bacterial load and bacterial composition correlate with lung function and are altered by long-term azithromycin treatment in children with HIV-associated chronic lung disease&rft.identifier=10.6084/m9.figshare.22601284.v1&rft.publisher=Figshare&rft.description=Additional file 1: Figure S1. A bar plot of the taxa and their relative abundance of the extraction and sequencing mock controls compared to manufacturer profiles. Figure S2. A scatterplot showing the correlation between samples repeated within a run (WR, n = 74) and between runs (BR, n=28). Figure S3. A scatterplot showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) 16S copies vs final number of reads (A1 and A2), Shannon alpha diversity index (B1 and B2) and age of participant in years (C1 and C2). Figure S4. Ordination plots of showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their 16S copies. Figure S5. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their number of reads. Figure S6. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by the age of the participant. Figure S7. Rarefaction curves showing number of ASVs detected and 16S copies of samples. Figure S8. Rarefaction curves showing number of ASVs detected and number of reads of samples. Figure S9. Bar plot showing the profiles of biological samples with 100 to &rft.creator=Abotsi, Regina E. &rft.creator=Dube, Felix S. &rft.creator=Rehman, Andrea M. &rft.creator=Claassen-Weitz, Shantelle &rft.creator=Xia, Yao &rft.creator=Simms, Victoria &rft.creator=Mwaikono, Kilaza S. &rft.creator=Gardner-Lubbe, Sugnet &rft.creator=McHugh, Grace &rft.creator=Ngwira, Lucky G. &rft.creator=Kwambana-Adams, Brenda &rft.creator=Heyderman, Robert S. &rft.creator=Odland, Jon Ø. &rft.creator=Ferrand, Rashida A. &rft.creator=Nicol, Mark P. &rft.date=2023&rft.relation=http://research-repository.uwa.edu.au/en/publications/ecaafbc3-e2ec-4f03-8432-be37c519d860&rft_subject=Medicine&rft_subject=FOS: Sociology&rft_subject=Infectious Diseases&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=CLINICAL SCIENCES&rft_subject=FOS: Biological sciences&rft_subject=Immunology&rft_subject=Sociology&rft_subject=FOS: Health sciences&rft_subject=FOS: Clinical medicine&rft_subject=Physiology&rft_subject=Science Policy&rft_subject=Cancer&rft.type=dataset&rft.language=English Access the data
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Additional file 1: Figure S1. A bar plot of the taxa and their relative abundance of the extraction and sequencing mock controls compared to manufacturer profiles. Figure S2. A scatterplot showing the correlation between samples repeated within a run (WR, n = 74) and between runs (BR, n=28). Figure S3. A scatterplot showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) 16S copies vs final number of reads (A1 and A2), Shannon alpha diversity index (B1 and B2) and age of participant in years (C1 and C2). Figure S4. Ordination plots of showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their 16S copies. Figure S5. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their number of reads. Figure S6. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by the age of the participant. Figure S7. Rarefaction curves showing number of ASVs detected and 16S copies of samples. Figure S8. Rarefaction curves showing number of ASVs detected and number of reads of samples. Figure S9. Bar plot showing the profiles of biological samples with 100 to

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External Organisations
University of Cape Town; London School of Hygiene and Tropical Medicine; Edith Cowan University; University of Stellenbosch; Biomedical Research and Training Institute Harare; Malawi-Liverpool-Wellcome Trust Clinical Research Programme; University College London; UiT The Arctic University of Norway; National Health Laboratory Service
Associated Persons
Yao Xia (Creator)Regina E. Abotsi (Creator); Felix S. Dube (Creator); Andrea M. Rehman (Creator); Shantelle Claassen-Weitz (Creator); Victoria Simms (Creator); Kilaza S. Mwaikono (Creator); Sugnet Gardner-Lubbe (Creator); Grace McHugh (Creator); Lucky G. Ngwira (Creator); Brenda Kwambana-Adams (Creator); Robert S. Heyderman (Creator); Jon Ø. Odland (Creator); Rashida A. Ferrand (Creator)

Issued: 2023-04-13

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Clinical Sciences | Cancer | FOS: Biological sciences | FOS: Clinical medicine | FOS: Health sciences | FOS: Sociology | Immunology | Infectious Diseases | Medical and Health Sciences | Medicine | Physiology | Science Policy | Sociology |

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