Gail L. Ackermann

Genome-resolved ecology and evolution of the microbiome enabled by quantitative long-read metagenomics

This paper introduces LRQ, a long-read metagenomics method that enables absolute strain abundance measurement and resolves microbial evolution in a Crohn's disease patient over eight years.

An expansive animal gut microbiome dataset elucidates major compositional shifts across bilaterian evolution

The paper presents a large-scale gut microbiome dataset across 1,553 host species and identifies major compositional shifts in gut microbiomes during animal evolution.

Farnesoid X receptor-dependent microbiome-bile acid signaling mediates obstructive sleep apnea-induced atherosclerosis

This study shows that FXR deficiency prevents IHC-induced atherosclerosis by disrupting microbiome-bile acid signaling in ApoE-/- mice.

Pan-repository analysis reveals a drug-activating function of microbial bile acid conjugation

The paper identifies microbial bile acid conjugation as a drug-activating function for 5-ASA, revealing its therapeutic relevance through metabolomics analysis.

A searchable metadata network graph for microbiome metabolomics

The paper introduces microbiomeMASST, a metadata network graph linking metabolites across datasets, enabling cross-study analysis of microbial metabolites and their biological context.

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

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

Reference data based insights expand understanding of human metabolomes

This paper expands the interpretability of human metabolomes by using food-based annotations, increasing the fraction of molecular features understood 7-fold.