Jason P. Smith

This study investigates how AngII inhibits renin release in JG cell clusters through coordinated calcium oscillations, identifying key cellular mechanisms involved.

This study identifies renin-lineage cell fate reprogramming and metabolic dysfunction as drivers of concentric arterial hypertrophy, with potential biomarkers for early detection.

The paper maps interactions between renin cells and nerve fibers during kidney development and disease using single-cell RNA-Seq and imaging.

This paper describes a mouse model with a bright fluorescent reporter for renin-expressing cells, revealing renin hypomorphism and associated kidney dysfunction under RAS inhibition.

This study identifies Tcf21 as essential for Foxd1+ progenitor cells to differentiate into juxtaglomerular cells during kidney development, showing reduced renin expression and altered renal morphology when Tcf21 is inactivated.

This paper develops an inducible mouse model to specifically control gene expression in renin cells, demonstrating efficient and targeted deletion of renin in adult mice without developmental effects.

The paper introduces scEmbed, a framework for fast clustering and cell-type annotation of scATAC-seq data using pre-trained embeddings, showing improved performance and transferability.

The paper investigates how PKA inhibition affects renin expression by altering epigenetic marks and gene regulation at the renin locus.

The paper uses single-cell epi-transcriptomics to map the developmental trajectory of renin cell differentiation and identifies key transcription factors involved in their formation.

The paper analyzes single-cell transcriptome and chromatin accessibility data to uncover transcription factor networks governing pancreatic endocrine cell lineage specification.

PEPATAC is an ATAC-seq analysis pipeline that improves speed and accuracy through serial mitochondrial genome alignment, providing standardized outputs for downstream analysis.

The paper introduces a method to represent genomic region sets as embeddings using a modified word2vec approach, showing it effectively captures biological associations in lower dimensions.

The paper introduces PEPPRO, a workflow for processing nascent RNA profiling data, providing standardized output and quality assessments.

COCOA analyzes epigenetic variation by examining covariation across individuals and annotates heterogeneity using genomic region sets.

Refgenie organizes and shares reference genome resources, making it easier to manage and retrieve genome analysis files.