METHODS & MULTI-OMIC DATA COLLECTIONS FOR EXPLORING CELLULAR LANDSCAPES ACROSS BIOMEDICINE
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STEM CELL VARIATION & EMBRYONIC DEVELOPMENT
HUMAN CELLULAR VARIATION MAPS ONTO MAMMALIAN DEVELOPMENT
Variability between human pluripotent stem cell lines remains a challenge and opportunity in biomedicine. Variation in the lineage bias of pluripotent cells from different humans can be mapped onto the primary axes of in vivo mammalian development. This variation in cell potential is driven by stable transcriptomic signatures that are unique to all the cells of an individual human. These gene expression traits likely influence health, disease, and therapeutic responses over our lifetime.
Check out our up-coming virtual seminar series on stem cell models and variation across human iPCS lines: Developmental Diversity in a Dish
NEOCORTICAL DEVELOPMENT
CONSERVED ELEMENTS OF CORTICAL NEUROGENESIS ARE LINKED TO THE GENETICS OF BRAIN STRUCTURE AND COMPLEX DISEASE
We have assembled and curated extensive public mutli-omics collections focused on neocortical development at NeMO Analytics. This includes extensive resources from in vivo development across mammalian speices and in vitro cerebral organoid models. Using our newly developed structured joint decomposition (SJD) methods, we have dissected transcriptome dynamics during mid-gestational cortical neurogenesis that are conserved across in mouse, macaque and human. We then mapped the genetics of human brain structure and disease onto specific elements of this foundational landscape of neurogenesis.
NEUROINFLAMMATION & NEURODEGENERATION
SHARED CELLULAR MECHANISMS IN ACUTE AND CHRONIC INFLAMMATORY AND DEGENERATIVE DISORDERS
It is becoming clear that common neuroinlfmammatory mechanisms exist across acute and chronic forms of brain disease, including traumatic brain injury, neuropsychiatry, neurodevelopment, neurodegeneneration, neuroinfection, and neuro-oncology. Leveraging multi-omic data from very different contexts, we aim to identify shared molecular mechanisms that may reveal common therpeutic targets across disorders.
STRUCTURED JOINT DECOMPOSITION (SJD)
Decomposition of families of biologically related high-dimensional matrices
Biological relationships between matrices are used to structure the decomposition architecture.
PROJECTION & TRANSFER LEARNING
projectR & SJD
Exploring multi-omic signals defined in a first dataset, within a second.
