Seung K. Kim

This study shows that MAFB is essential for maintaining adult human α-cell identity and function, linking its downregulation to impaired glucagon secretion and mitochondrial dysfunction in diabetes.

This study identifies a conditioning regimen that promotes mixed hematopoietic chimerism and islet tolerance to cure diabetes in mice with minimal radiation.

The paper uses Metabolic STAMP to map GPCR signaling pathways in β-cells, revealing distinct kinase programs and phospho-signatures that modulate insulin secretion.

This study demonstrates that non-myeloablative conditioning with anti-CD117 antibodies and HCT can induce durable mixed chimerism and cure autoimmune diabetes in NOD mice.

The paper identifies loss of stromal KITL as a mechanism promoting tumor progression in the pancreas by disrupting tissue homeostasis.

The paper describes a CRISPR/Cas9-based method to convert GAL4 to LexA driver lines in Drosophila for educational use in a summer classroom setting.

The paper describes a CRISPR/Cas9-based curriculum enabling secondary school students to generate LexA lines from GAL4 lines, resulting in 16 novel lines and a standardized workflow.

The paper develops a genetic method to measure tissue-specific insulin signaling dynamics in Drosophila using phosphorylated Akt quantification.

The paper integrates single-cell multiomic data with genetics to identify gene regulatory changes in beta cells associated with type 2 diabetes.

A genome-wide CRISPR screen in human pancreatic beta cells identifies 580 genes influencing insulin content, supporting 20 candidate type 2 diabetes effector transcripts.

This study investigates how HNF1A regulates human islet cell function by combining genetic, transcriptomic, and functional assays, revealing its role in maintaining insulin and glucagon secretion.

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

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

The paper develops a modular vector for Drosophila that enables inducible and interconvertible overexpression transgenes using three binary systems.

The paper creates a single-cell transcriptomic atlas of the adult fruit fly, identifying over 250 cell types and analyzing gene signatures and sexual dimorphism across tissues.

This study uses single-cell RNA-sequencing to analyze cell type-specific responses to young or aged blood in heterochronic parabiosis, identifying mitochondrial function as a key factor in rejuvenation.

The paper describes genetic tools and teaching methods to convert Gal4 lines to LexA lines and generate LexAop-shRNA lines for gene suppression in Drosophila.

This study shows that SIX2 and SIX3 regulate functional maturity and fate of human pancreatic β-cells, with SIX2 affecting insulin processing and glucose sensing, and SIX3 influencing gene expression patterns.

The paper uses single nucleus and in situ RNA sequencing to create a comprehensive atlas of human pancreas cells, revealing cell topographies and differences between adult and neonatal pancreata.

This study links transcriptomic heterogeneity in pancreatic islet cells to their physiological function using a combined electrophysiological and single-cell RNA sequencing approach, identifying genes and pathways associated with diabetes-related dysfunction.

This study investigates pig pancreatic islet development, identifying similarities with human islet ontogeny and uncovering signaling pathways relevant to beta-cell maturation.

The paper describes the generation and characterization of novel LexA enhancer trap lines in Drosophila through a collaborative interscholastic network.

The paper develops a tool to analyze spatial gene expression correlations in tissue sections, applied to human fetal pancreas development.

The paper creates a single-cell transcriptomic atlas of 20 mouse organs and tissues, providing a resource for studying gene expression across cell types.

This study uses single-cell RNA-seq to analyze human pancreatic cells across age, identifying transcriptional instability and age-related mutational signatures linked to oxidative stress.