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Dr Francis Lacombe "Unsupervised flow-cytometry advanced data analysis of normal and malignant human bone marrow"

Détails de la réservation

Détails de l'évènement

Francis Lacombe
Hôpital Haut-Lévêque spécialiste de la cytométrie en flux et des nouvelles procédures en
cytométrie en flux.

 

"Unsupervised flow-cytometry advanced data analysis of normal and malignant human bone
marrow"

 

Résumé

The exploration of human bone marrow (BM) is an important tool to understand and diagnose diseases involving
altered hematopoiesis. Although morphological identification of cells with distinctive features still remains the basis of
these analyses, more sophisticated methods appeared to be necessary, in particular flow cytometry. To assess
reproducibility of immunophenotyping analysis between different laboratories and different flow cytometers a new
concept called Harmonemia was developed.
Many multidimensional software were designed for the analysis of big-data generated in mass cytometry (MS). Their
application to classical multiparameter flow cytometry (MFC) is still seldom reported. FlowSOM, developed for MS
within the Bioconductor open-source project, has been praised for its discriminative abilities and operator-friendly
application. We combined FlowSOM and the Kaluza® software to analyze human bone marrow (BM) in MFC. Antibody
panels adapted for the diagnosis of acute leukemias were applied to respectively 19 and 17 normal BM (NBM)
samples. After normalization and merging, four FlowSOM reference minimal spanning trees (MST) were obtained,
providing new ways of dissecting normal hematopoietic differentiation. Reference MST of NBM were then merged with
diagnosis and follow-up files from patients with acute myeloblastic leukemia (AML) or acute lymphoblastic leukemia
(ALL), for unsupervised concomitant analysis. This outlined the immunophenotypic heterogeneity of AML and ALL and
allowed a fine delineation of minimal residual disease.
The combination of automated sophisticated multidimensional representation of numerous subsets and their in-depth
analysis by classical manual tools of FCM analysis is a truly revolutionary approach. These versatile new tools open the
way for a new era of classical flow cytometry analysis in hematological malignancies.

Invitation : Jean-Max Pasquet – Inserm U 1035

 

 

 

 

 


 

Responsable

  • Nom : Rocher Virginie