Francesco Asnicar

ORCID: 0000-0003-3732-1468
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About
Contact & Profiles
Research Areas
  • Gut microbiota and health
  • Genomics and Phylogenetic Studies
  • Microbial Community Ecology and Physiology
  • Probiotics and Fermented Foods
  • Diet and metabolism studies
  • Clostridium difficile and Clostridium perfringens research
  • Metabolomics and Mass Spectrometry Studies
  • Nutritional Studies and Diet
  • Nutrition, Genetics, and Disease
  • Cancer Immunotherapy and Biomarkers
  • Gene expression and cancer classification
  • Bacterial Identification and Susceptibility Testing
  • Bioinformatics and Genomic Networks
  • Epigenetics and DNA Methylation
  • Bacteriophages and microbial interactions
  • Gene Regulatory Network Analysis
  • Antimicrobial Resistance in Staphylococcus
  • Pancreatic and Hepatic Oncology Research
  • Mycobacterium research and diagnosis
  • Plant Virus Research Studies
  • Diphtheria, Corynebacterium, and Tetanus
  • Cancer, Stress, Anesthesia, and Immune Response
  • Dietary Effects on Health
  • Immunotherapy and Immune Responses
  • Immune responses and vaccinations

University of Trento
2016-2025

European Institute of Oncology
2023

Eli Lilly (Singapore)
2023

University of Milan
2023

Daiichi Sankyo (Germany)
2023

Daiichi-Sankyo (South Korea)
2023

Merck (Germany)
2023

Bayer (United States)
2023

Amgen (United States)
2023

Istituti di Ricovero e Cura a Carattere Scientifico
2023

Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances methods for biological profiling via shotgun metagenomics. Opportunities improvement continue accelerate, with greater access multi-omics, reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set integrated, improved taxonomic, strain-level, functional, phylogenetic metagenomes newly developed build on largest sequences now...

10.7554/elife.65088 article EN cc-by eLife 2021-05-04

The body-wide human microbiome plays a role in health, but its full diversity remains uncharacterized, particularly outside of the gut and international populations. We leveraged 9,428 metagenomes to reconstruct 154,723 microbial genomes (45% high quality) spanning body sites, ages, countries, lifestyles. recapitulated 4,930 species-level genome bins (SGBs), 77% without public repositories (unknown SGBs [uSGBs]). uSGBs are prevalent (in 93% well-assembled samples), expand underrepresented...

10.1016/j.cell.2019.01.001 article EN cc-by Cell 2019-01-01

The increased availability of genomic and metagenomic data poses challenges at multiple analysis levels, including visualization very large-scale microbial community paired with rich metadata. We developed GraPhlAn (Graphical Phylogenetic Analysis), a computational tool that produces high-quality, compact visualizations genomes metagenomes. This includes phylogenies spanning up to thousands taxa, annotated metadata ranging from abundances physiology or host environmental phenotypes. has been...

10.7717/peerj.1029 article EN cc-by PeerJ 2015-06-18
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v1 article EN 2018-10-24

Abstract Microbial genomes are available at an ever-increasing pace, as cultivation and sequencing become cheaper obtaining metagenome-assembled (MAGs) becomes more effective. Phylogenetic placement methods to contextualize hundreds of thousands must thus be efficiently scalable sensitive from closely related strains divergent phyla. We present PhyloPhlAn 3.0, accurate, rapid, easy-to-use method for large-scale microbial genome characterization phylogenetic analysis multiple levels...

10.1038/s41467-020-16366-7 article EN cc-by Nature Communications 2020-05-19

Abstract Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms most metagenomes. Here we present MetaPhlAn 4, which integrates information metagenome assemblies and isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference metagenome-assembled genomes, define unique marker genes 26,970 species-level genome bins, 4,992 them taxonomically unidentified...

10.1038/s41587-023-01688-w article EN cc-by Nature Biotechnology 2023-02-23
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v2 preprint EN 2018-12-03

The gut microbiome becomes shaped in the first days of life and continues to increase its diversity during months. Links between configuration infant health are being shown, but a comprehensive strain-level assessment microbes vertically transmitted from mother is still missing. We collected fecal breast milk samples multiple mother-infant pairs year applied shotgun metagenomic sequencing followed by computational profiling. observed that several specific strains, including those...

10.1128/msystems.00164-16 article EN cc-by mSystems 2017-01-18

Prevotella copri is a common human gut microbe that has been both positively and negatively associated with host health. In cross-continent meta-analysis exploiting >6,500 metagenomes, we obtained >1,000 genomes explored the genetic population structure of P. copri. encompasses four distinct clades (>10% inter-clade divergence) propose constitute complex, all were confirmed by isolate sequencing. These are nearly ubiquitous co-present in non-Westernized populations. Genomic analysis showed...

10.1016/j.chom.2019.08.018 article EN cc-by Cell Host & Microbe 2019-10-10

Rapid growth of genome data provides opportunities for updating microbial evolutionary relationships, but this is challenged by the discordant evolution individual genes. Here we build a reference phylogeny 10,575 evenly-sampled bacterial and archaeal genomes, based on comprehensive set 381 markers, using multiple strategies. Our trees indicate remarkably closer proximity between Archaea Bacteria than previous estimates that were limited to fewer "core" genes, such as ribosomal proteins. The...

10.1038/s41467-019-13443-4 article EN cc-by Nature Communications 2019-12-02

Abstract The composition of the gut microbiome has been associated with clinical responses to immune checkpoint inhibitor (ICI) treatment, but there is limited consensus on specific characteristics linked benefits ICIs. We performed shotgun metagenomic sequencing stool samples collected before ICI initiation from five observational cohorts recruiting ICI-naive patients advanced cutaneous melanoma ( n = 165). Integrating dataset 147 previously published studies, we found that a relevant,...

10.1038/s41591-022-01695-5 article EN cc-by Nature Medicine 2022-02-28

Abstract The human microbiome is an integral component of the body and a co-determinant several health conditions 1,2 . However, extent to which interpersonal relations shape individual genetic makeup its transmission within across populations remains largely unknown 3,4 Here, capitalizing on more than 9,700 metagenomes computational strain-level profiling, we detected extensive bacterial strain sharing individuals (more 10 million instances) with distinct mother-to-infant, intra-household...

10.1038/s41586-022-05620-1 article EN cc-by Nature 2023-01-18

Limited experimental evidence bridges nutrition and cancer immunosurveillance. Here, we show that ketogenic diet (KD) - or its principal ketone body, 3-hydroxybutyrate (3HB), most specifically in intermittent scheduling induced T cell-dependent tumor growth retardation of aggressive models. In conditions which anti-PD-1 alone combination with anti-CTLA-4 failed to reduce mice receiving a standard diet, KD, oral supplementation 3HB reestablished therapeutic responses. Supplementation KD...

10.1172/jci.insight.145207 article EN cc-by JCI Insight 2020-12-15
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295 preprint EN 2018-10-24
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