Kleinman lab

What we do

Through the computational analysis of genome-wide data, we try to understand gene expression mechanisms, their interplay with genetic and epigenetic factors, and how they cause disease.

Our main focus is on cancer and brain development, two areas where deregulation of gene expression plays a major role.

Cancer and brain development at single-cell resolution

Defining the origins of pediatric brain tumors by single-cell genomics

Childhood brain tumors have suspected prenatal origins. We investigate the processes at the root of malignant transformation by integrating high resolution data from patients, experimental models and single-cell atlases of the normal developing brain.

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Integrative genomics

Using data science to interpret large multidimensional datasets

We use bulk and single-cell technologies to profile the transcriptome and epigenome of clinical samples, patient derived cell lines, patient derived xenografts and other preclinical models.
We spend quite some time devising analytical strategies to integrate all this information and ensure robust results that do not depend on a particular technique or a specific model.