Milena Hasan earned her Ph.D. from the University of Zagreb, Croatia, for her work on mechanisms employed by MCMV to evade NK cell surveillance. During her Ph.D. training, she worked in the group of Prof. Stipan Jonjic at the University of Rijeka, Croatia. Dr Hasan joined the Institut Pasteur, Paris for her post-doctoral training in Prof. James Di Santo’s team, to assess the role of different transcriptional factors in murine NK cell development. With the creation of the Center for Human Immunology (CIH) at the Institut Pasteur by Prof. Matthew Albert and Dr Lars Rogge in 2007, Dr Hasan’s focus of interest moved towards human immunology, translational medicine and innovative technologies for biomedical research. She served the CIH first by establishing and leading its technology platform, and then by directing the CIH. At the creation of the Center for Translational Science (CRT) in 2014, she has initiated the Technology Core of the CRT (Cytometry and Biomarkers UTechS) and has been leading it since. Very motivated for teaching, Dr Hasan has established and is directing a yearly practical course for M2 students enrolled in the “Advanced Immunology Course”. She has been strongly involved in the LabEx project “Milieu Interieur” since its initiation, and is a member of the project’s consortium and its core team.
Single cell gene expression and beyond
Course Overview The course aims at providing theoretical and hands-on training for all steps of high-throughput single cell profiling, from single-cell sample and library preparation to data analysis, using state-of-the-art technological solutions. Program This […]
10th HKU-Pasteur Immunology Course: December 2-15, 2018
‘Quantitative Immunology’ will be the theme of the 10th anniversary of the HKU-Pasteur Immunology Course. We will explore the ongoing transition from reductionist studies, based on the application of genetic approaches in animal models, […]
SINGLE CELL RESOURCES AT INSTITUT PASTEUR
Introduction. Cell-to-cell variation affects all biological systems and processes, from stem cells and development, to immunology or cancer. Conventional population (bulk) measurements provide averaged information that does not reveal cellular individuality and masks extreme […]
Single cell projects
Numerous research groups from the Institut Pasteur, from the Pasteur International Network (RIIP) and from various external academic and clinical institutions benefit from the single cell resources of the Institut Pasteur. The groups with […]
CoSImmGEn-F : constitution d’une cohorte de sujets atteints de polypose adénomateuse familiale et porteurs d’une mutation du gène APC afin d’étudier le rôle de la génétique du système immunitaire et de l’environnement dans la maladie
Rationnel La polypose adénomateuse familiale se manifeste par l’apparition dans l’intestin de nombreuses excroissances dénommées polypes adénomateux et susceptibles d‘évoluer en cancers en l’absence de prise en charge. Il s’agit d’une maladie génétique, le […]
Deciphering dormancy in Cryptocococcus neoformans
Cryptococcus neoformans is a sugar-coated yeast that is able to interact closely with numerous organisms in the environment including amebae, paramecium of nematodes. The interaction with these organisms probably shaped its virulence. The ability […]
intuitive web-based applications for quickly analyzing and accurately interpreting the biological meaning in real-time PCR, sequencing or microarray data.
software developed for the analysis of ImageStreamX data; it evaluates over 35 features for each image and over 200 features per cell and integrates population statistics and imagery – every dot on a scatter […]
Single Cell Proteomics
Successful extension of mass spectrometry-based (MS) proteomics to single cells is very challenging, mainly due to low analysis throughput and insufficient proteome coverage in single cells. To address these challenges, new pipelines have emerged […]
Single Cell Data Analysis
The CB UTechS and the Bioinformatics and Biostatistics Hub work closely together to support the community involved in single cell data analysis. The single cell data analysis is a highly challenging field that is continuously evolving to […]
2018Human thymopoiesis is influenced by a common genetic variant within the locus, Sci Transl Med 2018 Sep;10(457).
2018Identifying the etiology and pathophysiology underlying stunting and environmental enteropathy: study protocol of the AFRIBIOTA project, BMC Pediatr 2018 Jul;18(1):236.
2018Primary antiphospholipid syndrome and antiphospholipid syndrome associated to systemic lupus: Are they different entities?, Autoimmun Rev 2018 Aug;17(8):739-745.
2018Natural variation in the parameters of innate immune cells is preferentially driven by genetic factors, Nat. Immunol. 2018 Mar;19(3):302-314.
2017Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges, Proc. Natl. Acad. Sci. U.S.A. 2018 01;115(3):E488-E497.
2017Single-cell gene expression using multiplex RT-qPCR to characterize heterogeneity of rare lymphoid populations, J. Vis. Exp. JoVE 2017 Jan 19; (119).
2016Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses, DOI: http://dx.doi.org/10.1016/j.celrep.2016.08.011 show.
2015Automated flow cytometric analysis across large numbers of samples and cell types, Clin. Immunol. 2015 Apr;157(2):249-60.
2015Semi-automated and standardized cytometric procedures for multi-panel and multi-parametric whole blood immunophenotyping, Clin. Immunol. 2015 Apr;157(2):261-76.
2014Functional analysis via standardized whole-blood stimulation systems defines the boundaries of a healthy immune response to complex stimuli, Immunity 2014 Mar;40(3):436-50.
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