Propel

Public Resource of Patient-derived and Expanded Leukemias

PROPEL is one of the world's largest repositories of patient-derived xenografts (PDXs) for adult and pediatric leukemias. The portal hosts hundreds of leukemia samples along with their associated genetic data. Researchers may request these resources free of charge with no obligation to collaborate. PROPEL, an initiative of St. Jude Children's Research Hospital, is designed to accelerate discovery and cures for acute lymphoblastic and myeloid leukemia and other types of leukemia.

View publications describing the source of samples and their use in research.

Explore Leukemia Xenograft Data

Disease Types

PROPEL houses samples and data of patient-derived xenografts (PDX) from more than 20 subtypes of leukemia including acute lymphoblastic leukemia, acute myeloid leukemia, matched diagnosis-relapse leukemia and rare subtypes such as erythroleukemia and lineage ambiguous leukemias (early T-cell precursor leukemia and mixed phenotype acute leukemia). The PROPEL resource is continually updated to include recently engrafted samples and associated genomic and other metadata.

View Disease Types
Disease Types

Detailed genomic data comparing of both the PDX models and matched primary patient sample genomic data can be visualized in this portal. The sample cohort includes 22 diagnosis-relapse ALL pairs. Extensive metadata includes clinical information, pathologic data, mouse models tested, engraftment latency, links to publications, and for samples derived from patients treated at St Jude, availability of primary patient samples from the St Jude Biorepository.

Analyze Samples
Disease Types

Search by leukemia subtype or find samples mutated for somatic mutations in a specific gene. Data analysis includes subtype-defining gene fusions, sequence mutations, and DNA copy number variations. Sample-level and disease cohort-level genetic analysis is available, as well as tSNE (t-distributed stochastic neighbor embedding) plots of leukemia gene expression profiling data showing clustering of individual xenografts with subtypes.

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