Free Access
Med Sci (Paris)
Volume 27, Number 12, Décembre 2011
Page(s) 1072 - 1074
Section Nouvelles
Published online 23 December 2011
  1. Leslie M. Cell biology. The power of one. Science 2011 ; 331 : 24–26. [Google Scholar]
  2. De Rosa SC, Roederer M. Eleven-color flow cytometry. A powerful tool for elucidation of the complex immune system. Clin Lab Med 2001 ; 21 : 697–712. [PubMed] [Google Scholar]
  3. Hulett HR, Bonner WA, Barrett J, Herzenberg LA. Cell sorting: automated separation of mammalian cells as a function of intracellular fluorescence. Science 1969 ; 166 : 747–749. [CrossRef] [PubMed] [Google Scholar]
  4. Hardy RR, Hayakawa K, Haaijman J, Herzenberg LA. B-cell subpopulations identified by two-colour fluorescence analysis. Nature 1982 ; 297 : 589–591. [CrossRef] [PubMed] [Google Scholar]
  5. O’Brien WA, Hartigan PM, Daar ES, Simberkoff MS, Hamilton JD. Changes in plasma HIV RNA levels and CD4+ lymphocyte counts predict both response to antiretroviral therapy and therapeutic failure. VA cooperative study group on AIDS. Ann Intern Med 1997 ; 126 : 939–945. [CrossRef] [PubMed] [Google Scholar]
  6. Addo MM, Draenert R, Rathod A, et al. Fully differentiated HIV-1 specific CD8+ T effector cells are more frequently detectable in controlled than in progressive HIV-1 infection. PLoS One 2007 ; 2 : e321. [CrossRef] [PubMed] [Google Scholar]
  7. Hansen SG, Ford JC, Lewis MS, et al. Profound early control of highly pathogenic SIV by an effector memory T-cell vaccine. Nature 2011 ; 473 : 523–527. [CrossRef] [PubMed] [Google Scholar]
  8. Kutscher S, Dembek CJ, Allgayer S, et al. The intracellular detection of MIP-1beta enhances the capacity to detect IFN-gamma mediated HIV-1-specific CD8 T-cell responses in a flow cytometric setting providing a sensitive alternative to the ELISPOT. AIDS Res Ther 2008 ; 5 : 22. [CrossRef] [PubMed] [Google Scholar]
  9. Lawrence WG, Varadi G, Entine G, et al. Enhanced red and near infrared detection in flow cytometry using avalanche photodiodes. Cytometry A 2008 ; 73 : 767–776. [PubMed] [Google Scholar]
  10. Roederer M. Spectral compensation for flow cytometry: visualization artifacts, limitations, and caveats. Cytometry 2001 ; 45 : 194–205. [CrossRef] [PubMed] [Google Scholar]
  11. Mahnke YD, Roederer M. Optimizing a multicolor immunophenotyping assay. Clin Lab Med 2007 ; 27 : 469–485. [CrossRef] [PubMed] [Google Scholar]
  12. Ornatsky O, Bandura D, Baranov V, et al. Highly multiparametric analysis by mass cytometry. J Immunol Methods 2010 ; 361 : 1–20. [CrossRef] [PubMed] [Google Scholar]
  13. Bandura DR, Baranov VI, Ornatsky OI, et al. Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. Anal Chem 2009 ; 81 : 6813–6822. [CrossRef] [PubMed] [Google Scholar]
  14. Bendall SC, Simonds EF, Qiu P, et al. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science 2011 ; 332 : 687–696. [CrossRef] [PubMed] [Google Scholar]
  15. Chattopadhyay PK, Hogerkorp CM, Roederer M. A chromatic explosion: the development and future of multiparameter flow cytometry. Immunology 2008 ; 125 : 441–449. [CrossRef] [PubMed] [Google Scholar]
  16. Carbonnelle E, Nassif X. Utilisation en routine du MALDI-TOF-MS pour l’identification des pathogènes en microbiologie médicale. Med Sci (Paris) 2011 ; 27 : 882–888. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.