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Charting Postnatal Heart Development Using In Vivo Single-Cell Functional Genomic [PIP-Seq]

GSE290986 Mus musculus Expression profiling by high throughput sequencing 3 samples Submitted 2026/07/22 Platform GPL24247
Summary
The transition at birth, marked by increased circulatory demands and rapid growth, necessitates extensive remodeling of the heart’s structure, function, and metabolism. This transformation requires precise spatial and temporal coordination among diverse cardiac cell types; central to this process is cardiomyocyte maturation, yet the regulatory mechanisms driving these changes remain poorly understood. Here, we present a temporal and spatial atlas of postnatal hearts by integrating single-nucleus transcriptomics with image-based spatial transcriptomics, which uncovers the dynamic regulatory networks of cardiomyocyte maturation. To functionally interrogate candidate regulators in vivo, we developed Probe-based Indel-detectable Perturb-seq, a high- throughput platform that uses probe-based chemistry to directly capture sgRNA expression, perturbation status, and transcriptomic profiles at single-nucleus resolution. Applying PIP-seq to postnatal cardiac development identified 21 novel regulators of cardiomyocyte maturation, highlighting critical nodal points in this process. Our study establishes a high-resolution framework for dissecting postnatal heart development, underscoring the integrative and highly ordered roles of microenvironment and intercellular communication in cardiomyocyte maturation. Importantly, PIP-seq enables systematic, high-throughput exploration of gene function and networks underlying complex biological processes in their native in vivo context.
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Direct links to NCBI, no account and no request form: the whole study as GSE290986_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 3 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1231125 and SRA study SRP567703. Searching any of these in the dataset finder brings you back here.

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