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Kim, S. K.

Publications and source records attributed to Kim, S. K..

At least 37 records · Page 2Linked to original sources

Single-cell Transcriptome and Accessible Chromatin Dynamics During Endocrine Pancreas Development

Delineating gene regulatory networks that orchestrate cell-type specification is an ongoing challenge for developmental biology studies. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of pancreatic endocrine cell differentiation using single-cell gene expression, chromatin accessibility assays coupled to genetic labeling and cell sorting. We uncover transcription factor networks that delineate {beta}-, - and{delta} -cell lineages. Through genomic footprint analysis we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.

developmental biology↗

Islet transplantation tolerance in animals with defined histocompatibility and diabetes

Advances in organ transplantation benefit from development of genetically inbred animal strains with defined histocompatibility and cell-specific markers to distinguish donor and host cell subsets. For studies of pancreatic islet transplantation tolerance in diabetes, an invariant method to ablate host {beta} cells and induce diabetes would provide an immense additional advantage. Here we detail development and use of B6 RIP-DTR mice, an immunocompetent line permitting diabetes induction with 100% penetrance. This inbred line is homozygous for the C57BL/6J major histocompatibility complex (MHC) haplotype and expresses the mutant CD45.1 allele in the hematopoietic lineage. {beta} cell-specific expression of a high-affinity receptor for diphtheria toxin (DT) permits experimental {beta} cell ablation and diabetes induction after DT administration. Diabetes reversal for over one year was achieved after transplantation with congenic C57BL/6J islets, but not with MHC-mismatched BALB/c islets, which were rapidly rejected. In summary, the generation of a C57BL/6J congenic line harboring the CD45.1 allele and Ins2-HBEGF transgene should advance studies of islet transplantation tolerance and mechanisms to improve islet engraftment and function, thereby optimizing development of cell replacement strategies for diabetes mellitus.

immunology↗

Transgenic Drosophila lines for LexA-dependent gene and growth regulation

Conditional expression of short hairpin RNAs (shRNAs) with binary genetic systems is an indispensable tool for studying gene function. Addressing mechanisms underlying cell-cell communication in vivo benefits from simultaneous use of two independent gene expression systems. To complement the abundance of existing Gal4/UAS-based resources in Drosophila, we and others have developed LexA/LexAop-based genetic tools. Here, we describe experimental and pedagogical advances that promote the efficient conversion of Drosophila Gal4 lines to LexA lines, and the generation of LexAop-shRNA lines to suppress gene function. We developed a CRISPR/Cas9-based knock-in system to replace Gal4 coding sequences with LexA, and a LexAop-based shRNA expression vector to achieve shRNA-mediated gene silencing. We demonstrate the use of these approaches to achieve targeted genetic loss-of-function in multiple tissues. We also detail our development of secondary school curricula that enable students to create transgenic flies, thereby magnifying the production of well-characterized LexA/LexAop lines for the scientific community. The genetic tools and teaching methods presented here provide LexA/LexAop resources that complement existing resources to study intercellular communication coordinating metazoan physiology and development.

genetics↗

Tubulin Acetylation Promotes Penetrative Capacity of Cells Undergoing Radial Intercalation

The post-translational modification of tubulin provides a wide diversity of differential functions to microtubule networks. Here we address the role of tubulin acetylation on the penetrative capacity of cells undergoing radial intercalation in the skin of Xenopus embryos. Radial intercalation is the process by which cells move apically and penetrate the epithelial barrier via inserting into the outer epithelium. As such there are two opposing forces that regulate the ability of cells to intercalate: the restrictive forces of the epithelial barrier versus the penetrative forces of the intercalating cell. By positively and negatively modulating tubulin acetylation specifically in the intercalating cells, the timing of intercalation can be altered such that cells with more acetylated microtubules penetrate the epithelium faster. Moreover, the Xenopus epithelium is a complex array of variable types of vertices and we find that intercalating cells preferentially penetrate at higher order "rosette" vertices as opposed to the more prevalent tricellular vertices. We observed differential timing in the ability of cells to penetrate different types of vertices, indicating lower order vertices represent more restrictive sites of insertion. Interestingly, we are able to shift the accessibility of early intercalating cells towards the more restrictive tricellular junctions by modulating the level of tubulin acetylation and the subsequent penetrative capacity of intercalating cells. Overall our data implicate tubulin acetylation in driving tissue penetration of intercalating cells.

cell biology↗

Heterogenous impairment of α-cell function in type 2 diabetes is linked to cell maturation state

In diabetes, glucagon secretion from pancreatic -cells is dysregulated. We examined -cells from human donors and mice using combined electrophysiological, transcriptomic, and computational approaches. Rising glucose suppresses -cell exocytosis by reducing P/Q-type Ca2+ channel activity, and this is disrupted in type 2 diabetes (T2D). Upon high-fat-feeding of mice, -cells shift towards a {beta}-cell-like electrophysiologic profile in concert with an up-regulation of the {beta}-cell Na+ channel isoform Scn9a and indications of impaired -cell identity. In human -cells we identify links between cell membrane properties and cell surface signalling receptors, mitochondrial respiratory complex assembly, and cell maturation. Cell type classification using machine learning of electrophysiology data demonstrates a heterogenous loss of electrophysiologic identity in -cells from donors with T2D. Indeed, a sub-set of -cells with impaired exocytosis is defined by an enrichment in progenitor markers suggesting important links between -cell maturation state and dysfunction in T2D. Key findingsO_LI-cell exocytosis is suppressed by glucose-dependent inhibition of P/Q-type Ca2+ currents C_LIO_LIDysfunction of -cells in type 2 diabetes is associated with a {beta}-cell-like electrophysiologic signature C_LIO_LIPatch-seq links maturation state, the mitochondrial respiratory chain, and cell surface receptor expression to -cell function C_LIO_LI-cell dysfunction occurs preferentially in cells enriched in endocrine lineage markers C_LI

cell biology↗

Mapping origins of variation in neural trajectories of human pluripotent stem cells

Variability between human pluripotent stem cell (hPSC) lines remains a challenge and opportunity in biomedicine. We identified differences in the early lineage emergence across hPSC lines that mapped on the antero-posterior axis of embryonic development. RNA-seq analysis revealed dynamic transcriptomic patterns that defined the emergence of mesendodermal versus neuroectodermal lineages conserved across hPSC lines and cell line-specific transcriptional signatures that were invariant across differentiation. The stable cell line-specific transcriptomic patterns predicted the retinoic acid (RA) response of the cell lines, resulting in distinct bias towards fore-versus hind-brain fates. Replicate hPSC lines and paired adult donor tissue demonstrated that cells from individual humans expressed unique and long-lasting transcriptomic signatures associated with evolutionarily recent genes. In addition to this genetic contribution, we found that replicate lines from a single donor showed divergent brain regional fates linked to distinct chromatin states, indicating that epigenetic mechanisms also contribute to neural fate differences. This variation in lineage bias and its correlation with RA responsive gene expression was also observed in a large collection of hPSC lines. These results define transcriptomic differences in hPSCs that initiate a critical early step specifying anterior or posterior neural fates.

neuroscience↗

SIX2 and SIX3 coordinately regulate functional maturity and fate of human pancreatic β-cells

The physiological functions of many vital tissues and organs continue to mature after birth, but the genetic mechanisms governing this postnatal maturation remain an unsolved mystery. Human pancreatic {beta}-cells produce and secrete insulin in response to physiological cues like glucose, and these hallmark functions improve in the years after birth. This coincides with expression of the transcription factors SIX2 and SIX3, whose functions in native human {beta}-cells remain unknown. Here, we show that shRNA-mediated SIX2 or SIX3 suppression in human pancreatic adult islets impairs insulin secretion. However, transcriptome studies revealed that SIX2 and SIX3 regulate distinct targets. Loss of SIX2 markedly impaired expression of genes governing {beta}-cell insulin processing and output, glucose sensing, and electrophysiology, while SIX3 loss led to inappropriate expression of genes normally expressed in fetal {beta}-cells, adult a-cells and other non-{beta}-cells. Chromatin accessibility studies identified genes directly regulated by SIX2. Moreover, {beta}-cells from diabetic humans with impaired insulin secretion also had reduced SIX2 transcript levels. Revealing how SIX2 and SIX3 govern functional maturation and maintain developmental fate in native human {beta}-cells should advance {beta}-cell replacement and other therapeutic strategies for diabetes.

developmental biology↗

Distinct autoinhibitory mechanisms regulate vinculin binding by alpha-T-catenin and alpha-E-catenin

-catenin binds directly to {beta}-catenin and connects the cadherin-catenin complex to the actin cytoskeleton. Tension regulates -catenin conformation: actomyosin-generated force stretches the middle(M)-region to relieve autoinhibition and reveal a binding site for the actin-binding protein vinculin. Here we describe the biochemical properties of T(testes)-catenin, an -catenin isoform critical for cardiac function, and how intramolecular interactions regulate vinculin binding autoinhibition. Isothermal titration calorimetry (ITC) showed that T-catenin binds the {beta}-catenin/N-cadherin complex with a similar low nanomolar affinity to that of E-catenin. Limited proteolysis revealed that the T-catenin M-region adopts a more open conformation than E-catenin. The T-catenin M-region binds the vinculin N-terminus with low nanomolar affinity, indicating that the isolated T-catenin M-region is not autoinhibited and thereby distinct from E-catenin. However, the T-catenin head (N- and M-regions) binds vinculin 1000-fold more weakly (low micromolar affinity), indicating that the N-terminus regulates M-region binding to vinculin. In cells, T-catenin recruitment of vinculin to cell-cell contacts requires the actin-binding domain and actomyosin-generated tension, indicating that force regulates vinculin binding. Together, our results indicate that the T-catenin N-terminus is required to maintain M-region autoinhibition and modulate vinculin binding. We postulate that the unique molecular properties of T-catenin allow it to function as a scaffold for building specific adhesion complexes.

biochemistry↗

Discovery of ciliary G protein-coupled receptors regulating pancreatic islet insulin and glucagon secretion

Multiple G protein coupled receptors (GPCRs) are expressed in pancreatic islet cells but the majority have unknown functions. We observe specific GPCRs localized to primary cilia, a prominent signaling organelle, in pancreatic - and {beta}-cells. Loss of cilia disrupts {beta}-cell endocrine function, but the molecular drivers are unknown. Using functional expression, we identified multiple GPCRs localized to cilia in mouse and human islet - and {beta}-cells, including FFAR4, PTGER4, DRD5, ADRB2, KISS1R, and P2RY14. Free fatty acid receptor 4 (FFAR4) and prostaglandin E receptor 4 (PTGER4) agonists stimulate ciliary cAMP signaling and promote glucagon and insulin secretion by - and {beta}-cell lines, and by mouse and human islets. Transport of GPCRs to primary cilia requires TULP3, whose knockdown in primary human and mouse islets depleted ciliary FFAR4 and PTGER4, and impaired regulated glucagon or insulin secretion, without affecting ciliary structure. Our findings provide index evidence that regulated hormone secretion by islet - and {beta}-cells is regulated by ciliary GPCRs providing new targets for diabetes.

physiology↗

A toolkit to generate inducible and interconvertible Drosophila transgenes

The existence of three independent binary systems for conditional gene expression (Gal4/UAS; LexA/LexAop; QF/QUAST) has greatly expanded versatile genetic analyses in the fruit fly Drosophila melanogaster; however, the experimental application of these tools is limited by the need to generate multiple collections of non-interchangeable transgenic fly strains for each inducible gene expression system. To address this practical limitation, we developed a modular vector that contains the regulatory elements from all three binary systems, enabling Gal4-, LexA- or QF-dependent expression of transgenes. Our methods also incorporate DNA elements that facilitate independent site-specific recombination and elimination of regulatory UAS, LexAop or QUAST modules with spatial and temporal control, thus offering unprecedented possibilities and logistical advantages for in vivo genetic modulation and efficient interconversion of overexpression transgenic fly lines.

genetics↗

In vivo studies of glucagon secretion by human islets transplanted in mice

Relatively little is known about regulated glucagon secretion by human islet cells compared to insulin secretion from {beta} cells, despite conclusive evidence of dysfunction in both cell types in diabetes mellitus. Distinct insulin sequences in humans and mice permit in vivo studies of {beta} cell regulation after human islet transplantation in immunocompromised mice, whereas identical glucagon sequences prevent analogous in vivo measures of glucagon output from human cells. We used CRISPR/Cas9 genome editing to remove glucagon-encoding codons 2-29 in immunocompromised (NSG) mice, preserving production of other proglucagon-derived hormones, like Glucagon-like-peptide 1. These NSG-Glucagon knockout (NSG-GKO) mice had phenotypes associated with glucagon signaling deficits, including hypoglycemia, hyperaminoacidemia, hypoinsulinemia, and islet cell hyperplasia. NSG-GKO host metabolic and islet phenotypes reverted after human islet transplantation, and human islets retained regulated glucagon and insulin secretion. NSG-GKO mice provide an unprecedented resource to investigate unique, species-specific human cell regulation in vivo.

physiology↗

Single nucleus RNA sequencing maps acinar cell states in a human pancreas cell atlas

Molecular evidence of cellular heterogeneity in the human exocrine pancreas has not been established, due to the local concentration of hydrolytic enzymes that can rapidly degrade cells and RNA upon resection. Here we innovated single-nucleus RNA sequencing protocols, and profiled more than 120,000 cells from adult and neonatal human donors to create the first comprehensive atlas of human pancreas cells, including epithelial and non-epithelial constituents. Adult and neonatal pancreata shared common features, including the presence of previously undetected acinar subtypes, but also showed marked differences in the composition of the endocrine, endothelial, and immune compartments. Spatial cartography, including cell proximity mapping through in situ sequencing, revealed dynamic developmental cell topographies in the endocrine and exocrine pancreas. Our human pancreas cell atlas can be interrogated to understand pancreatic cell biology, and provides a crucial reference set for future comparisons with diseased tissue samples to map the cellular foundations of pancreatic diseases.

genomics↗

Molecular and genetic regulation of pig pancreatic islet cell development

Reliance on rodents for understanding pancreatic genetics, development and islet function could limit progress in developing interventions for human diseases like diabetes mellitus. Similarities of pancreas morphology and function suggest that porcine and human pancreas developmental biology may have useful homologies. However, little is known about pig pancreas development. To fill this knowledge gap, we investigated fetal and neonatal pig pancreas at multiple, crucial developmental stages using modern experimental approaches. Purification of islet {beta}-, - and {delta}-cells followed by transcriptome analysis (RNA-Seq) and immunohistology identified cell- and stage-specific regulation, and revealed that pig and human islet cells share characteristic features not observed in mice. Morphometric analysis also revealed endocrine cell allocation and architectural similarities between pig and human islets. Our analysis unveiled scores of signaling pathways linked to native islet {beta}-cell functional maturation, including evidence of fetal -cell GLP-1 production and signaling to {beta}-cells. Thus, the findings and resources detailed here show how pig pancreatic islet studies complement other systems for understanding the developmental programs that generate functional islet cells, and that are relevant to human pancreatic diseases. Summary StatementThis study reveals transcriptional, signaling and cellular programs governing pig pancreatic islet development, including striking similarities to human islet ontogeny, providing a novel resource for advancing human islet replacement strategies.

developmental biology↗

Pancreas patch-seq links physiologic dysfunction in diabetes to single-cell transcriptomic phenotypes

Pancreatic islet cells regulate glucose homeostasis through insulin and glucagon secretion; dysfunction of these cells leads to severe diseases like diabetes. Prior single-cell transcriptome studies have shown heterogeneous gene expression in major islet cell-types; however it remains challenging to reconcile this transcriptomic heterogeneity with observed islet cell functional variation. Here we achieved electrophysiological profiling and single-cell RNA sequencing in the same islet cell (pancreas patch-seq) thereby linking transcriptomic phenotypes to physiologic properties. We collected 1,369 cells from the pancreas of donors with or without diabetes and assessed function-gene expression networks. We identified a set of genes and pathways that drive functional heterogeneity in {beta}-cells and used these to predict {beta}-cell electrophysiology. We also report specific transcriptional programs that correlate with dysfunction in type 2 diabetes (T2D) and extend this approach to cryopreserved cells from donors with type 1 diabetes (T1D), generating a valuable resource for understanding islet cell heterogeneity in health and disease. Key findingsO_LIPancreas patch-seq provides a single-cell survey of function-transcriptome pairing in 1,369 islet cells from donors with and without diabetes C_LIO_LIExpression of a specific subset of genes predicts {beta}-cell electrophysiology in transcriptome-function networks. C_LIO_LICompromised {beta}-cell function in T2D correlates with altered ETV1 expression and inflammatory pathways C_LIO_LIFunctional heterogeneity in -cells maps to ER stress and islet lineage markers C_LIO_LIApplication of patch-seq to cells from rare cryopreserved islets from donors with T1D C_LI

genomics↗

Modeling Spatial Correlation of Transcripts With Application to Developing Pancreas

Recently high-throughput image-based transcriptomic methods were developed and enabled researchers to spatially resolve gene expression variation at the molecular level for the first time. In this work, we develop a general analysis tool to quantitatively study the spatial correlations of gene expression in fixed tissue sections. As an illustration, we analyze the spatial distribution of single mRNA molecules measured by in situ sequencing on human fetal pancreas at three developmental time points 80, 87 and 117 days post-fertilization. We develop a density profile-based method to capture the spatial relationship between gene expression and other morphological features of the tissue sample such as position of nuclei and endocrine cells of the pancreas. In addition, we build a statistical model to characterize correlations in the spatial distribution of the expression level among different genes. This model enables us to infer the inhibitory and clustering effects throughout different time points. Our analysis framework is applicable to a wide variety of spatially-resolved transcriptomic data to derive biological insights.

bioinformatics↗

Dissecting transcriptomic signatures of neuronal differentiation and maturation using iPSCs

Human induced pluripotent stem cells (hiPSCs) are a powerful model of neural differentiation and maturation. We present a hiPSC transcriptomics resource on corticogenesis from 5 iPSC donor and 13 subclonal lines across nine time points over 5 broad conditions: self-renewal, early neuronal differentiation, neural precursor cells (NPCs), assembled rosettes, and differentiated neuronal cells that were validated using electrophysiology. We identified widespread changes in the expression of individual transcript features and their splice variants, gene networks, and global patterns of transcription. We next demonstrated that co-culturing human NPCs with rodent astrocytes resulted in mutually synergistic maturation, and that cell type-specific expression data can be extracted using only sequencing read alignments without potentially disruptive cell sorting. We lastly developed and validated a computational tool to estimate the relative neuronal maturity of iPSC-derived neuronal cultures and human brain tissue, which were maturationally heterogeneous but contained subsets of cells most akin to adult human neurons.

genomics↗

Accumulation And Functional Architecture Of Deleterious Genetic Variants During The Extinction Of Wrangel Island Mammoths

Woolly mammoths were among the most abundant cold adapted species during the Pleistocene. Their once large populations went extinct in two waves, an end-Pleistocene extinction of continental populations followed by the mid-Holocene extinction of relict populations on St. Paul Island ~5,600 years ago and Wrangel Island ~4,000 years ago. Wrangel Island mammoths experienced an episode of rapid demographic decline coincident with their isolation, leading to a small population, reduced genetic diversity, and the fixation of putatively deleterious alleles, but the functional consequences of these processes are unclear. Here we show that the Wrangel Island mammoth accumulated many putative deleterious mutations that are predicted to cause diverse behavioral and developmental defects. Resurrection and functional characterization of Wrangel Island mammoth genes carrying these substitutions identified both loss and gain of function mutations in genes associated with developmental defects (HYLS1), oligozoospermia and reduced male fertility (NKD1), diabetes (NEUROG3), and the ability to detect floral scents (OR5A1). These results suggest that Wrangel Island mammoths may have suffered adverse consequences from their reduced population sizes and isolation.

genetics↗

The Human Cell Atlas

The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body, by undertaking a Human Cell Atlas Project as an international collaborative effort. The aim would be to define all human cell types in terms of distinctive molecular profiles (e.g., gene expression) and connect this information with classical cellular descriptions (e.g., location and morphology). A comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, as well as provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas.

cell biology↗