Reconstruction of cardiovascular regulatory networks from large-scale single-cell analyses of cardiovascular lineages

NIH RePORTER · NIH · R01 · $601,222 · view on reporter.nih.gov ↗

Abstract

 DESCRIPTION (provided by applicant): The gene regulatory networks underlying early human cardiovascular (CV) development is poorly understood, in large part due to the dearth of molecular and genetic information specifying the diversity of cardiovascular progenitor cell-types (CVPCs). Human pluripotent stem cell (hPSC)-derived CV cells provide a model for human cardiogenesis and afford us the opportunity to reveal the various CV cell types generated during heart development and to also functionally discover and validate CV developmental gene regulatory networks. In this proposal, we will employ single cell transcriptome (RNA-seq) analysis to dissect the heterogeneity of early CV progenitor populations that give rise to the spectrum of distinct CV cell types and their intermediates. By identifying these potentially rare and novel progenitor cell types as well as studying their lineage choice decisions at the single cell level, the cellular and molecular networks underlying these progenitor cells and their differentiated CV cell types that control their differentiation can be revealed. To achieve our goal, a synergistic and complementary collaboration between the Yeo and Chi labs will aim to (1) investigate the diversity and organization of CV cellular subtypes during cardiogenesis in vitro, (2) develop novel algorithms that enable the extraction of gene regulatory programs that specify CV lineage sub-networks and (3) investigate the functional significance of identified CV cell subtypes. If successful, we will reveal pathways and cell-types that will advance our basic and translational framework for treating congenital heart disease.

Key facts

NIH application ID
9867524
Project number
5R01HD085902-05
Recipient
UNIVERSITY OF CALIFORNIA, SAN DIEGO
Principal Investigator
Neil C Chi
Activity code
R01
Funding institute
NIH
Fiscal year
2020
Award amount
$601,222
Award type
5
Project period
2016-03-01 → 2021-02-28