Joao B Xavier

Summary

Affiliation: Memorial Sloan-Kettering Cancer Center
Country: USA

Publications

  1. pmc Hyperswarming adaptations in a bacterium improve collective motility without enhancing single cell motility
    Maxime Deforet
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Soft Matter 10:2405-13. 2014
  2. pmc Social interaction in synthetic and natural microbial communities
    Joao B Xavier
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA
    Mol Syst Biol 7:483. 2011
  3. pmc A molecular mechanism that stabilizes cooperative secretions in Pseudomonas aeruginosa
    Joao B Xavier
    Center for Systems Biology, Harvard University, 52 Oxford St, Cambridge, MA 02138, USA
    Mol Microbiol 79:166-79. 2011
  4. pmc Convergent evolution of hyperswarming leads to impaired biofilm formation in pathogenic bacteria
    Dave van Ditmarsch
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
    Cell Rep 4:697-708. 2013
  5. pmc Emergence of spatial structure in the tumor microenvironment due to the Warburg effect
    Carlos Carmona-Fontaine
    Computational Biology Program, Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
    Proc Natl Acad Sci U S A 110:19402-7. 2013
  6. pmc Intestinal microbiota containing Barnesiella species cures vancomycin-resistant Enterococcus faecium colonization
    Carles Ubeda
    Infectious Diseases Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
    Infect Immun 81:965-73. 2013
  7. pmc Multilevel selection analysis of a microbial social trait
    Laura De Vargas Roditi
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Mol Syst Biol 9:684. 2013
  8. pmc High-resolution time series of Pseudomonas aeruginosa gene expression and rhamnolipid secretion through growth curve synchronization
    Dave van Ditmarsch
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, New York NY, 10021 5604, USA
    BMC Microbiol 11:140. 2011
  9. pmc Exploiting social evolution in biofilms
    Kerry E Boyle
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
    Curr Opin Microbiol 16:207-12. 2013
  10. pmc A quantitative test of population genetics using spatiogenetic patterns in bacterial colonies
    Kirill S Korolev
    Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Am Nat 178:538-52. 2011

Collaborators

Detail Information

Publications17

  1. pmc Hyperswarming adaptations in a bacterium improve collective motility without enhancing single cell motility
    Maxime Deforet
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Soft Matter 10:2405-13. 2014
    ..aeruginosa mutants and reveals that collective and individual motility in bacteria are not necessarily correlated. Understanding bacterial adaptations to surface motility, such as hyperswarming, requires a collective behavior approach. ..
  2. pmc Social interaction in synthetic and natural microbial communities
    Joao B Xavier
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA
    Mol Syst Biol 7:483. 2011
    ..Finding similar patterns in such diverse systems suggests that the same 'social interaction motifs' may be general to many cell populations...
  3. pmc A molecular mechanism that stabilizes cooperative secretions in Pseudomonas aeruginosa
    Joao B Xavier
    Center for Systems Biology, Harvard University, 52 Oxford St, Cambridge, MA 02138, USA
    Mol Microbiol 79:166-79. 2011
    ..More generally, prudent regulation is a mechanism to stabilize cooperation...
  4. pmc Convergent evolution of hyperswarming leads to impaired biofilm formation in pathogenic bacteria
    Dave van Ditmarsch
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
    Cell Rep 4:697-708. 2013
    ..The finding that evolution in swarming colonies reliably produces evolution of poor biofilm formers supports the existence of an evolutionary trade-off between motility and biofilm formation. ..
  5. pmc Emergence of spatial structure in the tumor microenvironment due to the Warburg effect
    Carlos Carmona-Fontaine
    Computational Biology Program, Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
    Proc Natl Acad Sci U S A 110:19402-7. 2013
    ..This suggests that cancer metabolic changes create a microenvironment where tumor cells thrive over other cells. Understanding differences in tumor-stroma sensitivity to these alterations may open therapeutic avenues against cancer...
  6. pmc Intestinal microbiota containing Barnesiella species cures vancomycin-resistant Enterococcus faecium colonization
    Carles Ubeda
    Infectious Diseases Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
    Infect Immun 81:965-73. 2013
    ..Our studies indicate that obligate anaerobic bacteria belonging to the Barnesiella genus enable clearance of intestinal VRE colonization and may provide novel approaches to prevent the spread of highly antibiotic-resistant bacteria...
  7. pmc Multilevel selection analysis of a microbial social trait
    Laura De Vargas Roditi
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Mol Syst Biol 9:684. 2013
    ..Our analysis supports the key prediction that strong group selection does not necessarily mean that microbial cooperation will always emerge. ..
  8. pmc High-resolution time series of Pseudomonas aeruginosa gene expression and rhamnolipid secretion through growth curve synchronization
    Dave van Ditmarsch
    Computational Biology Program, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, New York NY, 10021 5604, USA
    BMC Microbiol 11:140. 2011
    ..However, measuring the secreted rhamnolipid biosurfactants requires laborious sample processing, which makes this an offline measurement...
  9. pmc Exploiting social evolution in biofilms
    Kerry E Boyle
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
    Curr Opin Microbiol 16:207-12. 2013
    ..This exciting new research can ultimately lead to new therapies against biofilm infections that exploit evolutionary cheating or the trade-off between biofilm formation and dispersal...
  10. pmc A quantitative test of population genetics using spatiogenetic patterns in bacterial colonies
    Kirill S Korolev
    Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Am Nat 178:538-52. 2011
    ..While our experimental system is a simplification of natural microbial community, we argue that it constitutes proof of principle that the spatial models of population genetics can quantitatively capture organismal evolution...
  11. pmc Ecological modeling from time-series inference: insight into dynamics and stability of intestinal microbiota
    Richard R Stein
    Computational Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
    PLoS Comput Biol 9:e1003388. 2013
    ..difficile. Due to its generality, our method can be applied to any high-resolution ecological time-series data to infer community structure and response to external stimuli. ..
  12. pmc Social interaction, noise and antibiotic-mediated switches in the intestinal microbiota
    Vanni Bucci
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
    PLoS Comput Biol 8:e1002497. 2012
    ..Our methodology can be extended to multiple bacterial groups and thus it provides an ecological formalism to help interpret the present surge in microbiome data...
  13. doi request reprint The evolution of bacteriocin production in bacterial biofilms
    Vanni Bucci
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    Am Nat 178:E162-73. 2011
    ..However, under conditions of high nutrient penetration leading to well-mixed biofilms, biodiversity rapidly decreases and becomes sensitive to the critical bacteriocin range...
  14. doi request reprint Seeing is believing: what experiments with microbes reveal about evolution
    Dave van Ditmarsch
    Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Trends Microbiol 22:2-4. 2014
    ..This is in part because evolution often cannot be directly observed. Simple experiments with microbes can change that by enabling direct observation of evolutionary processes. ..
  15. pmc Intestinal domination and the risk of bacteremia in patients undergoing allogeneic hematopoietic stem cell transplantation
    Ying Taur
    Infectious Disease Service, Department of Medicine, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    Clin Infect Dis 55:905-14. 2012
    ..We examined the microbiota of patients undergoing allo-HSCT, and correlated microbial shifts with the risk of bacteremia...
  16. doi request reprint Social evolution of spatial patterns in bacterial biofilms: when conflict drives disorder
    Joao B Xavier
    Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
    Am Nat 174:1-12. 2009
    ..Moreover, and contrary to previous theory, our analysis predicts an antagonistic relationship between evolutionary conflict and pattern formation: conflict drives disorder...