The Colorectal Cancer Gut Environment Regulates Activity of the Microbiome and Promotes the Multidrug Resistant Phenotype of ESKAPE and Other Pathogens
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G. Weedall | R. Arasaradnam | Gareth D. Weedall | I. Morozov | Matthew T F Lamaudière | Matthew T. F. Lamaudière
[1] G. Weedall,et al. The Colorectal Cancer Microbiota Alter Their Transcriptome To Adapt to the Acidity, Reactive Oxygen Species, and Metabolite Availability of Gut Microenvironments , 2023, mSphere.
[2] D. Madden,et al. Keeping up with the pathogens: Improved antimicrobial resistance detection and prediction in Pseudomonas aeruginosa , 2022, medRxiv.
[3] M. Fan,et al. Response mechanisms to acid stress of acid-resistant bacteria and biotechnological applications in the food industry , 2022, Critical reviews in biotechnology.
[4] P. Karlovsky,et al. ‘SRS’ R Package and ‘q2-srs’ QIIME 2 Plugin: Normalization of Microbiome Data Using Scaling with Ranked Subsampling (SRS) , 2021, Applied Sciences.
[5] H. Drost,et al. Sensitive protein alignments at tree-of-life scale using DIAMOND , 2021, Nature Methods.
[6] Wei-Lin Jin,et al. The updated landscape of tumor microenvironment and drug repurposing , 2020, Signal Transduction and Targeted Therapy.
[7] S. Beatson,et al. Antimicrobial Resistance in ESKAPE Pathogens , 2020, Clinical Microbiology Reviews.
[8] Geoffrey L. Winsor,et al. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database , 2019, Nucleic Acids Res..
[9] Suk-Hwan Lee,et al. Patterns of antibiotics and pathogens for anastomotic leakage after colorectal cancer surgery , 2019, Korean Journal of Clinical Oncology.
[10] S. Octavia,et al. Klebsiella pneumoniae and Klebsiella quasipneumoniae define the population structure of blaKPC-2Klebsiella: a 5 year retrospective genomic study in Singapore. , 2019, The Journal of antimicrobial chemotherapy.
[11] J. Simms,et al. Preventive antibiotic treatment of calves: emergence of dysbiosis causing propagation of obese state‐associated and mobile multidrug resistance‐carrying bacteria , 2019, Microbial biotechnology.
[12] Jun Yu,et al. Gut microbiota in colorectal cancer: mechanisms of action and clinical applications , 2019, Nature Reviews Gastroenterology & Hepatology.
[13] Shuangfei Li,et al. Metabolic adaptability shifts of cell membrane fatty acids of Komagataeibacter hansenii HDM1-3 improve acid stress resistance and survival in acidic environments , 2019, Journal of Industrial Microbiology & Biotechnology.
[14] J. Souglakos,et al. Oral Bacteria and Intestinal Dysbiosis in Colorectal Cancer , 2019, International journal of molecular sciences.
[15] William A. Walters,et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 , 2019, Nature Biotechnology.
[16] E. Giovannucci,et al. Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies , 2019, Nature Reviews Gastroenterology & Hepatology.
[17] P. Bork,et al. Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation , 2019, Nature Medicine.
[18] K. Pardesi,et al. Emerging Strategies to Combat ESKAPE Pathogens in the Era of Antimicrobial Resistance: A Review , 2019, Front. Microbiol..
[19] Paul Theodor Pyl,et al. Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer , 2019, Nature Medicine.
[20] Lu Wang,et al. The role of microbiota in the development of colorectal cancer , 2019, International journal of cancer.
[21] V. Sperandio,et al. Redox, amino acid, and fatty acid metabolism intersect with bacterial virulence in the gut , 2018, Proceedings of the National Academy of Sciences.
[22] Michael J. Sweredoski,et al. The dormancy-specific regulator, SutA, is intrinsically disordered and modulates transcription initiation in Pseudomonas aeruginosa , 2018, bioRxiv.
[23] D. Han,et al. Intestinal microbiota, chronic inflammation, and colorectal cancer , 2018, Intestinal research.
[24] Benjamin D. Kaehler,et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin , 2018, Microbiome.
[25] K. Kristiansen,et al. Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers , 2018, Microbiome.
[26] Zhenwei Dai,et al. Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers , 2018, Microbiome.
[27] A. Kurilshikov,et al. Environment dominates over host genetics in shaping human gut microbiota , 2018, Nature.
[28] Benjamin D. Kaehler,et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin , 2018, Microbiome.
[29] Ahmedin Jemal,et al. Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States , 2018, CA: a cancer journal for clinicians.
[30] E. Rimm,et al. Metatranscriptome of human fecal microbial communities in a cohort of adult men , 2018, Nature Microbiology.
[31] C. Huttenhower,et al. Dynamics of metatranscription in the inflammatory bowel disease gut microbiome , 2018, Nature Microbiology.
[32] F. Shanahan,et al. The oral microbiota in colorectal cancer is distinctive and predictive , 2017, Gut.
[33] Danielle G. Lemay,et al. SAMSA2: a standalone metatranscriptome analysis pipeline , 2017, bioRxiv.
[34] H. Andrews-Polymenis,et al. An Oxidative Central Metabolism Enables Salmonella to Utilize Microbiota-Derived Succinate. , 2017, Cell host & microbe.
[35] D. Raoult,et al. Inediibacterium massiliense gen. nov., sp. nov., a new bacterial species isolated from the gut microbiota of a severely malnourished infant , 2017, Antonie van Leeuwenhoek.
[36] M. Bassetti,et al. The management of multidrug-resistant Enterobacteriaceae , 2016, Current opinion in infectious diseases.
[37] H. Szajewska,et al. Systematic review with meta‐analysis: Lactobacillus reuteri DSM 17938 for diarrhoeal diseases in children , 2016, Alimentary pharmacology & therapeutics.
[38] Paul J. McMurdie,et al. DADA2: High resolution sample inference from Illumina amplicon data , 2016, Nature Methods.
[39] Rob Knight,et al. Open-Source Sequence Clustering Methods Improve the State Of the Art , 2016, mSystems.
[40] Wen J. Li,et al. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation , 2015, Nucleic Acids Res..
[41] H. Lederman,et al. Overview of Infections in the Immunocompromised Host , 2016, Microbiology spectrum.
[42] Qiang Feng,et al. Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer , 2015, Gut.
[43] D. Snydman,et al. Risk and safety of probiotics. , 2015, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[44] Qiang Feng,et al. Gut microbiome development along the colorectal adenoma–carcinoma sequence , 2015, Nature Communications.
[45] H. Qin,et al. Microbiota disbiosis is associated with colorectal cancer , 2015, Front. Microbiol..
[46] Chao Xie,et al. Fast and sensitive protein alignment using DIAMOND , 2014, Nature Methods.
[47] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[48] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[49] G. Fichant,et al. Bacterial transformation: distribution, shared mechanisms and divergent control , 2014, Nature Reviews Microbiology.
[50] C. O’Hern,et al. The Bacterial Cytoplasm Has Glass-like Properties and Is Fluidized by Metabolic Activity , 2014, Cell.
[51] B. Bourke,et al. Interaction of microbes with mucus and mucins , 2014, Gut microbes.
[52] Jiajie Zhang,et al. PEAR: a fast and accurate Illumina Paired-End reAd mergeR , 2013, Bioinform..
[53] Emmanuel Buc,et al. Colonization of the Human Gut by E. coli and Colorectal Cancer Risk , 2013, Clinical Cancer Research.
[54] M. Bibb. Understanding and manipulating antibiotic production in actinomycetes. , 2013, Biochemical Society transactions.
[55] F. Marincola,et al. Commensal Bacteria Control Cancer Response to Therapy by Modulating the Tumor Microenvironment , 2013, Science.
[56] Robert C. Edgar,et al. UPARSE: highly accurate OTU sequences from microbial amplicon reads , 2013, Nature Methods.
[57] L. Jarboe,et al. The damaging effects of short chain fatty acids on Escherichia coli membranes , 2013, Applied Microbiology and Biotechnology.
[58] C. Robert,et al. Culturomics identified 11 new bacterial species from a single anorexia nervosa stool sample , 2013, European Journal of Clinical Microbiology & Infectious Diseases.
[59] D. Pezet,et al. High Prevalence of Mucosa-Associated E. coli Producing Cyclomodulin and Genotoxin in Colon Cancer , 2013, PloS one.
[60] Pelin Yilmaz,et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools , 2012, Nucleic Acids Res..
[61] T. Dinan,et al. Communication between gastrointestinal bacteria and the nervous system. , 2012, Current opinion in pharmacology.
[62] C. Huttenhower,et al. Metagenomic microbial community profiling using unique clade-specific marker genes , 2012, Nature Methods.
[63] Wolf-Dietrich Hardt,et al. Gut inflammation can boost horizontal gene transfer between pathogenic and commensal Enterobacteriaceae , 2012, Proceedings of the National Academy of Sciences.
[64] Steven Salzberg,et al. BIOINFORMATICS ORIGINAL PAPER , 2004 .
[65] B. Neville,et al. Carbohydrate catabolic flexibility in the mammalian intestinal commensal Lactobacillus ruminis revealed by fermentation studies aligned to genome annotations , 2011, Microbial cell factories.
[66] Rob Knight,et al. UCHIME improves sensitivity and speed of chimera detection , 2011, Bioinform..
[67] B. Haas,et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. , 2011, Genome research.
[68] J. Tap,et al. Microbial Dysbiosis in Colorectal Cancer (CRC) Patients , 2011, PloS one.
[69] Cecilia Jernberg,et al. Long-term impacts of antibiotic exposure on the human intestinal microbiota. , 2010, Microbiology.
[70] William A. Walters,et al. QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.
[71] Thomas Bjarnsholt,et al. Antibiotic resistance of bacterial biofilms. , 2010, International journal of antimicrobial agents.
[72] G. Church,et al. Functional Characterization of the Antibiotic Resistance Reservoir in the Human Microflora , 2009, Science.
[73] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[74] Mihai Pop,et al. Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples , 2009, PLoS Comput. Biol..
[75] J. Martínez. Antibiotics and Antibiotic Resistance Genes in Natural Environments , 2008, Science.
[76] L. Rice. Federal funding for the study of antimicrobial resistance in nosocomial pathogens: no ESKAPE. , 2008, The Journal of infectious diseases.
[77] J. Tiedje,et al. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy , 2007, Applied and Environmental Microbiology.
[78] R. Redfield,et al. Non-canonical CRP sites control competence regulons in Escherichia coli and many other γ-proteobacteria , 2006, Nucleic acids research.
[79] V. Lievin-Le Moal,et al. The Front Line of Enteric Host Defense against Unwelcome Intrusion of Harmful Microorganisms: Mucins, Antimicrobial Peptides, and Microbiota , 2006, Clinical Microbiology Reviews.
[80] John Turk,et al. PhoP‐regulated Salmonella resistance to the antimicrobial peptides magainin 2 and polymyxin B , 2004, Molecular microbiology.
[81] Young-In Kim. Role of folate in colon cancer development and progression. , 2003, The Journal of nutrition.
[82] Samuel I. Miller,et al. Regulation of Salmonella typhimurium virulence gene expression by cationic antimicrobial peptides , 2003, Molecular microbiology.
[83] L. Frost,et al. F factor conjugation is a true type IV secretion system. , 2003, FEMS microbiology letters.
[84] S. Miller,et al. Salmonella typhimurium outer membrane remodeling: role in resistance to host innate immunity. , 2001, Microbes and infection.
[85] E. Delong,et al. Quantitative Analysis of Small-Subunit rRNA Genes in Mixed Microbial Populations via 5′-Nuclease Assays , 2000, Applied and Environmental Microbiology.
[86] J. Galmiche,et al. Butyrate inhibits inflammatory responses through NFkappaB inhibition: implications for Crohn's disease. , 2000, Gut.
[87] L. Petit,et al. Clostridium perfringens: toxinotype and genotype. , 1999, Trends in microbiology.
[88] Samuel I. Miller,et al. Lipid A Acylation and Bacterial Resistance against Vertebrate Antimicrobial Peptides , 1998, Cell.
[89] M. Greene,et al. The Concise Handbook of Family Cancer Syndromes , 1998 .
[90] S. Miller,et al. Regulation of lipid A modifications by Salmonella typhimurium virulence genes phoP-phoQ. , 1997, Science.
[91] I. Casas,et al. Safety and Tolerance of Lactobacillus reuteri in Healthy Adult Male Subjects , 1995 .
[92] E. Groisman,et al. Resistance to host antimicrobial peptides is necessary for Salmonella virulence. , 1992, Proceedings of the National Academy of Sciences of the United States of America.