Author

G. Ackermann

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 5 Ecology· 2

Signature Assays, Organisms & Methods

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Assay:metagenomics· 6 Research Focus:cell type annotation· 5 Organism:human· 5 Approach:statistical model· 5 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:metabolomics· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

G. Humphrey· 6 shared R. Knight· 5 shared C. Marotz· 3 shared D. McDonald· 3 shared A. A. Aksenov· 2 shared A. Gonzalez· 2 shared A. V. Melnik· 2 shared C. Martino· 2 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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6 shared papersMicrobiology

G. Humphrey

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

A. H. Dilmore, R. Kuplicki, D. McDonald, M. Kumar, M. Estaki, N. D. Youngblut, A. Tyakht, G. Ackermann, C. Blach, S. MahmoudianDehkordi, B. Dunlop, S. Bhattacharyya, S. Guinjoan, P. Mandaviya, R. Ley, , Alzheimer Gut Microbiome Project Consortium

This study links medication use to distinct gut microbial features in anxiety and depression, showing antidepressants have a larger effect on microbiota than diagnoses.

bioRxiv · Mar 19, 2024Microbiology

Integrated multi-cohort analysis of the Parkinson's disease gut metagenome

J. C. Boktor, G. Sharon, L. A. Verhagen Metman, D. A. Hall, P. A. Engen, Z. Zreloff, D. J. Hakim, J. W. Bostick, J. Ousey, D. Lange, G. Humphrey, G. Ackermann, M. Carlin, R. Knight, A. Keshavarzian, S. K. Mazmanian

This study analyzes the gut microbiome in Parkinson's disease across multiple cohorts, identifying consistent taxonomic and functional changes associated with the disease.

bioRxiv · Jul 20, 2022Microbiology

Multi-omics profiling of Earth's biomes reveals patterns of diversity and co-occurrence in microbial and metabolite composition across environments

J. P. Shaffer, L.-F. Nothias, L. R. Thompson, S. G. Jon, R. A. Salido, S. P. Couvillion, A. D. Brejnrod, S. Huang, F. Lejzerowicz, N. Haiminen, H. L. Lutz, Q. Zhu, C. Martino, J. T. Morton, S. Karthikeyan, , St

The paper performs a multi-omics meta-analysis of microbial and metabolite data from diverse environments, revealing patterns of diversity and co-occurrence across biomes.

bioRxiv · Jun 4, 2021Ecology

A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities

J. P. Shaffer, C. Marotz, P. Belda-Ferre, C. Martino, S. Wandro, M. Estaki, R. A. Salido, C. S. Carpenter, L. S. Zaramela, J. J. Minich, M. B. Bryant, K. Sanders, S. Fraraccio, G. Ackermann, G. Humphrey, , R. Knight

The paper compares DNA/RNA extraction protocols for microbial community sequencing, finding one protocol equivalent or better than a standard DNA-only method for RNA-based organisms.

bioRxiv · Nov 13, 2020Ecology

The urinary tract microbiome in older women exhibits host genetics and environmental influences

A. S. Adebayo, G. Ackermann, R. C. E. Bowyer, P. M. Wells, G. Humphrey, R. Knight, T. D. Spector, C. J. Steves

This study identifies host genetic and environmental factors influencing the urinary microbiome in older women using twin data and metagenomic analysis.

bioRxiv · Nov 12, 2019Microbiology

The Molecular and Microbial Microenvironments in Chronically Diseased Lungs

N. Garg, A. V. Melnik, Y. Vasquez-Baeza, A. Aksenov, E. R. Hyde, A. C. McAvoy, M. Wang, R. da Silva, I. Protsyuk, J. V. Wu, A. Bouslimani, Y. W. Lim, T. Luzzatto-Knaan, W. Comstock, R. A. Quinn, , R. Knight

The paper generates 3D maps of microbiomes and metabolomes in cystic fibrosis lungs, revealing personalized and regiospecific chemical environments and microbial interactions.

bioRxiv · Jun 19, 2019 · PreprintMicrobiology

American Gut: an Open Platform for Citizen-Science Microbiome Research

D. McDonald, E. R. Hyde, J. W. Debelius, J. T. Morton, A. Gonzalez, G. Ackermann, A. A. Aksenov, B. Behsaz, C. Brennan, Y. Chen, L. DeRight Goldasicha, P. C. Dorrestein, R. R. Dunn, A. K. Fahimipourg, J. Gaffney, , Rah

The paper uses citizen-science data to analyze human stool microbiomes, revealing new insights into microbial diversity, metabolome composition, and associations with diet and health.

bioRxiv · Mar 7, 2018Microbiology