TY - JOUR
T1 - In depth comparative phenotyping of blood innate myeloid leukocytes from healthy humans and macaques using mass cytometry
AU - Elhmouzi-Younes, Jamila
AU - Palgen, Jean Louis
AU - Tchitchek, Nicolas
AU - Delandre, Simon
AU - Namet, Inana
AU - Bodinham, Caroline L.
AU - Pizzoferro, Kathleen
AU - Lewis, David J.M.
AU - Le Grand, Roger
AU - Cosma, Antonio
AU - Beignon, Anne Sophie
N1 - Publisher Copyright:
© 2017 International Society for Advancement of Cytometry
PY - 2017/10
Y1 - 2017/10
N2 - Comparative immune-profiling of innate responses in humans and non-human primates is important to understand the pathogenesis of infectious and chronic inflammatory diseases as well as for the preclinical development of vaccines and immune therapies. However, direct comparisons of the two species are rare and were never performed using mass cytometry. Here, whole-blood-derived leukocytes from healthy humans and cynomolgus macaques were analyzed with mass cytometry. Two similar panels of around 30 monoclonal antibodies targeting human markers associated with innate myeloid cells to stain fixed human and macaque leukocytes were constructed. To compare the circulating innate cells from the two primate species, an analysis pipeline combining a clustering analysis by the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm with a two-step hierarchical clustering of cells nodes and markers was used. Identical SPADE settings were applied to both datasets, except for the 20 clustering markers which slightly differed. A correlation analysis designed to compare the phenotypes of human and macaque cell nodes and based on 16 markers, including 15 shared clustering markers and CD19 for humans or CD20 for macaques, revealed similarities and differences between staining patterns. This study unique by the number of individuals (26 humans and 5 macaques) and the use of mass cytometry certainly contributes to better assess the advantages and limits of the use of non-human primates in preclinical research.
AB - Comparative immune-profiling of innate responses in humans and non-human primates is important to understand the pathogenesis of infectious and chronic inflammatory diseases as well as for the preclinical development of vaccines and immune therapies. However, direct comparisons of the two species are rare and were never performed using mass cytometry. Here, whole-blood-derived leukocytes from healthy humans and cynomolgus macaques were analyzed with mass cytometry. Two similar panels of around 30 monoclonal antibodies targeting human markers associated with innate myeloid cells to stain fixed human and macaque leukocytes were constructed. To compare the circulating innate cells from the two primate species, an analysis pipeline combining a clustering analysis by the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm with a two-step hierarchical clustering of cells nodes and markers was used. Identical SPADE settings were applied to both datasets, except for the 20 clustering markers which slightly differed. A correlation analysis designed to compare the phenotypes of human and macaque cell nodes and based on 16 markers, including 15 shared clustering markers and CD19 for humans or CD20 for macaques, revealed similarities and differences between staining patterns. This study unique by the number of individuals (26 humans and 5 macaques) and the use of mass cytometry certainly contributes to better assess the advantages and limits of the use of non-human primates in preclinical research.
KW - CyTOF
KW - human
KW - innate myeloid immunity
KW - leukocytes
KW - macaque
KW - mass cytometry
KW - whole blood
UR - http://www.scopus.com/inward/record.url?scp=85019002103&partnerID=8YFLogxK
U2 - 10.1002/cyto.a.23107
DO - 10.1002/cyto.a.23107
M3 - Article
C2 - 28444973
AN - SCOPUS:85019002103
SN - 1552-4922
VL - 91
SP - 969
EP - 982
JO - Cytometry. Part A : the journal of the International Society for Analytical Cytology
JF - Cytometry. Part A : the journal of the International Society for Analytical Cytology
IS - 10
ER -