All Stories

  1. Veillonella atypica supplementation reduces fatigue interference and increases voluntary physical activity: A randomized controlled trial with mechanistic validation in mice
  2. Specification curve analysis of the TEDDY study reveals large variation in microbiome-based T1D predictive performance
  3. Portal vein-enriched metabolites as intermediate regulators of the gut microbiome in insulin resistance
  4. Adipose tissue–gut microbiome crosstalk in inflammation and thermogenesis
  5. Yanomami skin microbiome complexity challenges prevailing concepts of healthy skin
  6. Single-cell RNA-seq reveals disease-specific CD8+ T cell clonal expansion and a high frequency of transcriptionally distinct double-negative T cells in diabetic NOD mice
  7. A Lactobacillus consortium provides insights into the sleep-exercise-microbiome nexus in proof of concept studies of elite athletes and in the general population
  8. Yanomami skin microbiome complexity challenges prevailing concepts of healthy skin.
  9. Single-cell RNA-seq reveals TCR clonal expansion and a high frequency of transcriptionally distinct double-negative T cells in NOD mice
  10. Impact of probiotic Veillonella atypica FB0054 supplementation on anaerobic capacity and lactate
  11. DNA characterization reveals potential operon-unit packaging of extracellular vesicle cargo from a gut bacterial symbiont
  12. Whole mitogenome analysis highlights demographic history and shared connections among distal Indigenous groups of Mexico Complete mitogenome sequencing from 60 Mexican Native American groups
  13. Single-cell RNA-seq reveals TCR clonal expansion and a high frequency of transcriptionally distinct double-negative T cells in NOD mice
  14. Quantifying Shared and Unique Gene Content across 17 Microbial Ecosystems
  15. Erratum for Proctor et al., “Resources To Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model To Study Microbiome Function”
  16. Editorial: Gut microbiome, metabolites, and immune response in lupus, rheumatoid arthritis, and Sjögren syndrome
  17. Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis
  18. Unraveling Signatures of Local Adaptation among Indigenous Groups from Mexico
  19. Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function
  20. Quantifying shared and unique gene content across 17 microbial ecosystems
  21. The human microbiome: A coming of age story
  22. Systematically assessing microbiome–disease associations identifies drivers of inconsistency in metagenomic research
  23. The impact of multigenerational high-fat diet feeding on the gut microbiome and host metabolism
  24. E. coli Nissle 1917 modulates host glucose metabolism without directly acting on glucose
  25. Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology
  26. The genomic landscape of Mexican Indigenous populations brings insights into the peopling of the Americas
  27. Leveraging vibration of effects analysis for robust discovery in observational biomedical data science
  28. Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators
  29. Reconstruction of ancient microbial genomes from the human gut
  30. Circulating short and medium chain fatty acids are associated with normoalbuminuria in type 1 diabetes of long duration
  31. Activation of adenosine receptor A2a by gut symbionts promotes immune tolerance
  32. Mechanisms of microbial–neuronal interactions in pain and nociception
  33. An Immunologic Mode of Multigenerational Transmission Governs a Gut Treg Setpoint
  34. A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type
  35. Reply to “Is physical performance (in mice) increased by Veillonella atypica or decreased by Lactobacillus bulgaricus?”
  36. CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content
  37. The predictive power of the microbiome exceeds that of genome-wide association studies in the discrimination of complex human disease
  38. The Landscape of Genetic Content in the Gut and Oral Human Microbiome
  39. Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences
  40. Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism
  41. Bacteroides-Derived Sphingolipids Are Critical for Maintaining Intestinal Homeostasis and Symbiosis
  42. A perfect storm: Genetics and anticommensal antibodies shore up type 1 diabetes
  43. The Crohn’s disease polymorphism, ATG16L1 T300A, alters the gut microbiota and enhances the local Th1/Th17 response
  44. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States
  45. Correction for Zhao et al., Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children
  46. Diets That Promote Colon Inflammation Associate With Risk of Colorectal Carcinomas That Contain Fusobacterium nucleatum
  47. Fusobacterium nucleatum in Colorectal Cancer Relates to Immune Response Differentially by Tumor Microsatellite Instability Status
  48. Diet, Genetics, and the Gut Microbiome Drive Dynamic Changes in Plasma Metabolites
  49. Assessment of the cPAS-based BGISEQ-500 platform for metagenomic sequencing
  50. Aether: leveraging linear programming for optimal cloud computing in genomics
  51. Aether: Leveraging Linear Programming For Optimal Cloud Computing In Genomics
  52. Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children
  53. Association of Dietary Patterns With Risk of Colorectal Cancer Subtypes Classified by Fusobacterium nucleatum in Tumor Tissue
  54. Gut Microbiota: Small Molecules Modulate Host Cellular Functions
  55. A Microbiome Foundation for the Study of Crohn’s Disease
  56. Abstract PR01: Fusobacterium nucleatum and mutational landscape of colorectal cancer in whole-exome sequencing analysis
  57. Emerging Concepts and Technologies for the Discovery of Microorganisms Involved in Human Disease
  58. Fusobacterium nucleatum in Colorectal Carcinoma Tissue According to Tumor Location
  59. Dysbiosis, inflammation, and response to treatment: a longitudinal study of pediatric subjects with newly diagnosed inflammatory bowel disease
  60. The Dynamics of the Human Infant Gut Microbiome in Development and in Progression toward Type 1 Diabetes
  61. Research Highlights
  62. Variation in Microbiome LPS Immunogenicity Contributes to Autoimmunity in Humans
  63. Variation in Microbiome LPS Immunogenicity Contributes to Autoimmunity in Humans
  64. Fusobacterium nucleatum in colorectal carcinoma tissue and patient prognosis
  65. Fusobacterium nucleatumand T Cells in Colorectal Carcinoma
  66. An Integrative View of Microbiome-Host Interactions in Inflammatory Bowel Diseases
  67. The Dynamics of the Human Infant Gut Microbiome in Development and in Progression toward Type 1 Diabetes
  68. Correction: Human Genome-Wide RNAi Screen Identifies an Essential Role for Inositol Pyrophosphates in Type-I Interferon Response
  69. Inflammatory Bowel Disease as a Model for Translating the Microbiome
  70. The Microbiome in Inflammatory Bowel Disease: Current Status and the Future Ahead
  71. The Treatment-Naive Microbiome in New-Onset Crohn’s Disease
  72. Human Genome-Wide RNAi Screen Identifies an Essential Role for Inositol Pyrophosphates in Type-I Interferon Response
  73. Microbes and Inflammation in Colorectal Cancer
  74. Sequence-Based Discovery ofBradyrhizobium entericain Cord Colitis Syndrome
  75. Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment
  76. Exploring host-microbiota interactions in animal models and humans
  77. Sequence-Based Discovery of Novel Bacteria, Bradyrhizobium Enterica, in Cord Colitis Syndrome
  78. Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
  79. Keystone microbiome meeting 2012: a mountain top experience
  80. Genomic analysis identifies association of Fusobacterium with colorectal carcinoma
  81. The Mutational Landscape of Head and Neck Squamous Cell Carcinoma
  82. PathSeq: software to identify or discover microbes by deep sequencing of human tissue
  83. Abstract 949: PathSeq: A comprehensive computational tool for pathogen discovery by deep sequencing of human cancer tissues
  84. The TPR-containing domain within Est1 homologs exhibits species-specific roles in telomerase interaction and telomere length homeostasis