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Single-cell map of the composition and evolution of T-cell acute lymphoblastic leukemia

Total Cost €


EC-Contrib. €






 scTALLmap project word cloud

Explore the words cloud of the scTALLmap project. It provides you a very rough idea of what is the project "scTALLmap" about.

clinical    resolution    sparing    subclonal    carefully    complement    cancer    acute    ultimately    genome    cell    individual    profiling    toxicity    era    samples    sctallmap    membership    shows    heterogeneous    map    accumulate    temporal    ex    generate    composition    drug    spaniards    belgians    relapse    tumors    skills    personalized    underlying    therapy    lymphoblastic    host    unprecedented    nowadays    risk    paving    sausages    stereotypes    tremendously    first    daily    aggressive    pediatric    realtime    permit    treatment    subclones    expertise    siesta    misleading    cellular    integrative    transcriptome    incomplete    diagnosis    opportunity    intratumoral    technologies    mix    stratification    computational    beer    extensive    experimental    germans    lab    heterogeneity    perform    vivo    children    judging    population    genetic    modalities    sensitivity    single    therapeutic    full    exquisite    leukemia    overview    subtype    love    envision    sequencing   

Project "scTALLmap" data sheet

The following table provides information about the project.


Organization address
postcode: 9052

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 178˙320 €
 EC max contribution 178˙320 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2021-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VIB VZW BE (ZWIJNAARDE - GENT) coordinator 178˙320.00


 Project objective

Spaniards have their daily siesta, Germans like sausages and Belgians love beer. Stereotypes can certainly be misleading, just like judging a cell by its membership to a particular cell type, the so-called population-based analysis. Nowadays we know that tumors are tremendously heterogeneous and, in the era of single-cell sequencing, we have the exquisite opportunity to study each individual cell with unprecedented resolution. Acute lymphoblastic leukemia (ALL), which is the most common cancer in children, shows extensive genetic intratumoral heterogeneity. This heterogeneity might be the underlying reason for an incomplete response to treatment and for the development of relapse. In order to envision its clinical implementation, it is essential to first i) generate a single-cell map and ii) accumulate evidence on how the subclonal composition affects the response to treatment. With this aim, I will build a comprehensive single-cell overview of the composition, development and response to therapy for the aggressive subtype T-cell ALL. I will perform integrative single-cell genome and transcriptome profiling of ex vivo carefully selected pediatric samples at diagnosis, during drug treatment and in case of relapse. This approach will provide realtime temporal information about the sensitivity of each cell type to the therapy and about how relapse can develop. I will use state-of-the-art single-cell technologies to which the host institute has early access. Moreover, I will apply my previous single-cell expertise and bring a unique mix of experimental and computational skills to the lab. The results of scTALLmap, will have significant impact in leukemia by paving the way for improved risk-stratification based on the cellular heterogeneity and the presence of high-risk subclones at diagnosis. Ultimately, it will permit the design of novel and more personalized therapeutic modalities sparing toxicity and targeting the full complement of leukemia subclones.

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The information about "SCTALLMAP" are provided by the European Opendata Portal: CORDIS opendata.

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