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Kim, S.

Publications and source records attributed to Kim, S..

At least 343 records · Page 19Linked to original sources

α-catenin mechanosensitivity as a route to cytokinesis failure through sequestration of LZTS2

Epithelial cells can become polyploid upon tissue injury, but mechanosensitive cues that trigger this state are poorly understood. Using -catenin (-cat) knock-out Madin Darby Canine Kidney (MDCK) cells reconstituted with wild-type and mutant forms of -cat as a model system, we find that an established -cat actin-binding domain unfolding mutant designed to reduce force-sensitive binding to F-actin (-cat-H0-FABD+) can promote cytokinesis failure, particularly along epithelial wound-fronts. Enhanced -cat coupling to cortical actin is neither sufficient nor mitotic cell-autonomous for cytokinesis failure, but critically requires the mechanosensitive Middle-domain (M1-M2-M3) and neighboring cells. Disease relevant -cat M-domain missense mutations known to cause a form of retinal pattern dystrophy (-cat E307K or L436P) are associated with elevated binucleation rates via cytokinesis failure. Similar binucleation rates are seen in cells expressing an -cat salt-bridge destabilizing mutant (R551A) designed to promote M2-M3 domain unfurling at lower force thresholds. Since binucleation is strongly enhanced by removal of the M1 as opposed to M2-M3 domains, cytokinetic fidelity is most sensitive to -cat M2-M3 domain opening. To identify -cat conformation-dependent proximity partners that contribute to cytokinesis, we used a biotin-ligase approach to distinguished proximity partners that show enhanced recruitment upon -cat M-domain unfurling (R551A). We identified Leucine Zipper Tumor Suppressor 2 (LZTS2), an abscission factor previously implicated in cytokinesis. We confirm that LZTS2 enriches at the midbody, but discover it also localizes to tight and tricellular junctions. LZTS2 knock-down promotes binucleation in both MDCK and Retinal Pigmented Epithelial (RPE) cells. -cat mutants with persistent M2-M3 domain opening showed elevated junctional enrichment of LZTS2 from the cytosol compared -cat wild-type cells. These data implicate LZTS2 as a mechanosensitive effector of -cat that is critical for cytokinetic fidelity. This model rationalizes how persistent mechano-activation of -cat may drive tension-induced polyploidization of epithelia post-injury and suggests an underlying mechanism for how pathogenic -cat mutations drive macular dystrophy.

cell biology↗

Cell-extrinsic effects of Irf2 on cDC2 development

Characterization of the functional effects of cDC2s in vivo requires model systems in which cDC2s are depleted. Previous literature has reported a loss of cDC2s in mice lacking the transcription factor IRF21,2. We sought to further characterize the cDC2 defect in these animals. Here, we find that the requirement for IRF2 in cDC2 development and survival is cell-extrinsic and correlated to the development of dermatitis in the Irf2-/- model system. We also find that Flt3L-mediated in vitro development of cDC1s and cDC2s, but not pDCs, is abrogated in Irf2-/- bone marrow, as well as in wild-type bone marrow cultured with IFN. Loss of interferon (IFN) signaling in Irf2-/- mice restored cDC2 development in vivo and cDC1 and cDC2 development in vitro. We therefore conclude that IRF2 is required for cDC2 development in a cell-extrinsic manner dependent on IFN signaling.

immunology↗

Canonical Wnt transcriptional complexes are essential for induction of nephrogenesis but not maintenance or proliferation of nephron progenitors

Wnt regulated transcriptional programs are associated with both the maintenance of mammalian nephron progenitor cells (NPC) and their induction, initiating the process of nephrogenesis. How opposing transcriptional roles are regulated remain unclear. Using an in vitro model replicating in vivo events, we examined the requirement for canonical Wnt transcriptional complexes in NPC regulation. In canonical transcription, Lef/Tcf DNA binding proteins associate the transcriptional co-activator {beta}-catenin. Wnt signaling is readily substituted by CHIR99021, a small molecule antagonist of glycogen synthase kinase-3{beta} (GSK3{beta}). GSK3{beta} inhibition blocks Gsk{beta}-dependent turnover of {beta}-catenin, enabling formation of Lef/Tcf/{beta}-catenin transcriptional complexes, and enhancer-mediated transcriptional activation. Removal of {beta}-catenin activity from NPCs under cell expansion conditions (low CHIR) demonstrated a non-transcriptional role for {beta}-catenin in the CHIR-dependent proliferation of NPCs. In contrast, CHIR-mediated induction of nephrogenesis, on switching from low to high CHIR, was dependent on Lef/Tcf and {beta}-catenin transcriptional activity. These studies point to a non-transcriptional mechanism for {beta}-catenin in regulation of NPCs, and potentially other stem progenitor cell types. Further, analysis of the {beta}-catenin-directed transcriptional response provides new insight into induction of nephrogenesis. Summary StatementThe study provides a mechanistic understanding of Wnt/ {beta}-catenin activity in self-renewal and differentiation of mammalian nephron progenitors.

developmental biology↗

A Computational Approach for the Identification of Novel L1 Transcriptional Regulators

Long interspersed element 1 (L1) are a family of autonomous, actively mobile transposons that occupy [~]17% of the human genome. A number of pleiotropic effects induced by L1 (promoting genome instability, inflammation, or cellular senescence) have been observed, and L1s contributions to aging and aging diseases is an area of active research. However, because of the cell type-specific nature of transposon control, the catalogue of L1 regulators remains incomplete. Here, we employ an eQTL approach leveraging transcriptomic and genomic data from the GEUVADIS and 1000Genomes projects to computationally identify new candidate regulators of L1 RNA levels in lymphoblastoid cell lines. To cement the role of candidate genes in L1 regulation, we experimentally modulate the levels of top candidates in vitro, including IL16, STARD5, HSDB17B12, and RNF5, and assess changes in TE family expression by Gene Set Enrichment Analysis (GSEA). Remarkably, we observe subtle but widespread upregulation of TE family expression following IL16 and STARD5 overexpression. Moreover, a short-term 24-hour exposure to recombinant human IL16 was sufficient to transiently induce subtle, but widespread, upregulation of L1 subfamilies. Finally, we find that many L1 expression-associated genetic variants are co-associated with aging traits across genome-wide association study databases. Our results expand the catalogue of genes implicated in L1 RNA control and further suggest that L1-derived RNA contributes to aging processes. Given the ever-increasing availability of paired genomic and transcriptomic data, we anticipate this new approach to be a starting point for more comprehensive computational scans for transposon transcriptional regulators.

bioinformatics↗

RBL2 represses the transcriptional activity of Multicilin to inhibit multiciliogenesis

A core pathophysiologic feature underlying many respiratory diseases is multiciliated cell dysfunction, leading to inadequate mucociliary clearance. Due to the prevalence and highly variable etiology of mucociliary dysfunction in respiratory diseases, it is critical to understand the mechanisms controlling multiciliogenesis that may be targeted to restore functional mucociliary clearance. Multicilin, in a complex with E2F4, is necessary and sufficient to drive multiciliogenesis in airway epithelia, however this does not apply to all cell types, nor does it occur evenly across all cells in the same cell population. In this study we further investigated how co-factors regulate the ability of Multicilin to drive multiciliogenesis. Combining data in mouse embryonic fibroblasts and human bronchial epithelial cells, we identify RBL2 as a repressor of the transcriptional activity of Multicilin. Knockdown of RBL2 in submerged cultures or phosphorylation of RBL2 in response to apical air exposure, in the presence of Multicilin, allows multiciliogenesis to progress. These data demonstrate a dynamic interaction between RBL2 and Multicilin that regulates the capacity of cells to differentiate and multiciliate. Identification of this mechanism has important implications for facilitating MCC differentiation in diseases with impaired mucociliary clearance.

cell biology↗

Highly effective gene inactivation in tetraploid Xenopus laevis with low-temperature-active engineered Cas12a

Gene knockout using the CRISPR/Cas (clustered regulatory interspaced short palindromic repeats/CRISPR-associated protein) system revolutionized reverse genetic studies in model and non-model organisms, as almost all genetic elements can be targeted with few limitations. Although the CRISPR/Cas system with SpCas9 (Cas9 derived from Streptococcus pyogenes) remains the most popular for genome editing, another CRISPR/Cas system with Cas12a (Cpf1) has expanded its application. However, Cas12a is challenging to use in some aquatic model organisms, such as Xenopus laevis, because of its low activity at the temperature at which X. laevis embryos are usually raised (lower than 25{degrees}C). Recently, an engineered Cas12a called Cas12a-Ultra was developed, which has improved in vivo endonuclease activity with reduced temperature dependency. Here, we evaluated the performance of these engineered Cas12a enzymes in X. laevis embryos. We first confirmed that they were more active than SpCas9 at the low temperature at which X. laevis embryos are mostly raised (20-22{degrees}C), based on in vitro digestion experiments. Then, we evaluated in vivo activities of Cas12a-Ultra by disrupting several genes in X. laevis whose phenotypic consequences are previously reported. LbCpf1 (Cas12a derived from Lachnospiraceae bacterium)-Ultra outperformed the other enzymes, producing more than 80% of embryos with severely defective phenotypes even in low-temperature conditions. In addition, duplicated copies of two paralogous lysine demethylases (kdm5b and kdm5c) were successfully disrupted, which recapitulated the previously reported phenotypes observed upon morpholino-mediated knockdown. This study demonstrated that this engineered Cas12a is valuable for gene function studies in Xenopus and other model organisms with low growth temperatures.

bioengineering↗

KoNA: Korean Nucleotide Archive as a New Data Repository for Nucleotide Sequence Data

During the last decade, generation and accumulation of petabase-scale high-throughput sequencing data have resulted in ethical and technical challenges, including access to human data, and transfer, storage, and sharing of enormous amount of data. To promote data-driven research in biology, the Korean government announced that all the biological data generated from government-funded research projects should be deposited in the Korea BioData Station (K-BDS), which consists of multiple databases for individual data types. We introduce the Korean Nucleotide Archive (KoNA), a repository for nucleotide sequence data. As of July 2022, the Korean Read Archive in KoNA has collected over 477 TB of raw next generation sequencing data from several national genome projects. To ensure data quality and prepare for international alignment, a standard operating procedure (SOP) was adopted, which is similar to the International Nucleotide Sequence Database Collaboration. The SOP includes quality control processes for submitted data and metadata using an automated pipeline followed by manual examination. To ensure fast and stable data transfer, a high-speed transmission system called GBox is used in KoNA. Furthermore, the data uploaded to or downloaded from KoNA through GBox can be readily processed in a cloud-computing service for genomic data analysis called Bio-Express. This seamless coupling of KoNA, GBox, and Bio-Express enhances data experience including submission, access, and analysis of raw nucleotide sequences. KoNA not only satisfies the unmet needs for a national sequence repository in Korea, but also provides datasets to researchers globally and contribute to advances in genomics. KoNA is available at https://www.kobic.re.kr/kona/.

genomics↗

Self-assembling Gn head ferritin nanoparticle vaccine provides full protection from lethal challenge of Dabie Bandavirus in aged ferrets

Dabie Bandavirus (DBV), previously known as Severe Fever with Thrombocytopenia Syndrome (SFTS) Virus, induces a characteristic thrombocytopenia with a mortality rate ranging from 12% to as high as 30%. The sero-prevalence of DBV in healthy people is not significantly different among age groups, but clinically diagnosed SFTS patients are older than [~]50 years, suggesting that age is the critical risk factor for SFTS morbidity and mortality. Accordingly, our immune-competent ferret model demonstrates an age (>4 years old)-dependent DBV infection and pathogenesis that fully recapitulates human clinical manifestation. To protect the aged population from DBV-induced SFTS, vaccine should carry robust immunogenicity with high safety profile. Previous studies have shown that glycoproteins Gn/Gc are the most effective antigens for inducing both neutralizing antibody (NAb)- and T cell-mediated immunity and, thereby, protection. Here, we report the development of a protein subunit vaccine with 24-mer self-assembling ferritin (FT) nanoparticle to present DBV Gn head region (GnH) for enhanced immunogenicity. Anion exchange chromatography and size exclusion chromatography readily purified the GnH-FT nanoparticles to homogeneity with structural integrity. Mice immunized with GnH-FT nanoparticles induced robust NAb response and T-cell immunity against DBV Gn. Furthermore, aged ferrets immunized with GnH-FT nanoparticles were fully protected from DBV challenge without SFTS symptoms such as body weight loss, thrombocytopenia, leukopenia, and fatality. This study demonstrates that DBV GnH-FT nanoparticles provide an efficient vaccine efficacy in mouse and aged ferret models and should be an outstanding vaccine candidate targeted for the aged population against fatal DBV infection. ImportanceDabie Bandavirus (DBV) is an emerging tick-borne virus that causes Severe Fever with Thrombocytopenia Syndrome (SFTS) in infected patients. Human SFTS symptoms progress from fever, fatigue, and muscle pain to the depletion of white blood cells and platelets with fatality rates up to 30%. The recent spread of its vector tick to over 20 states in the United States increases the potential for outbreaks of the SFTS beyond the East Asia. Thus, the development of vaccine to control this rapidly emerging virus is a high priority. In this study, we applied self-assembling ferritin (FT) nanoparticle to enhance the immunogenicity of viral Gn head domain as a vaccine target. Mice immunized with the GnH-FT nanoparticle vaccine induced potent antibody responses and cellular immunity. Immunized aged-ferrets were fully protected from the lethal challenge of DBV. Our study describes the GnH-FT nanoparticle vaccine candidate that provides protective immunity against the emerging DBV infection.

microbiology↗

Polyubiquitinated PCNA promotes alternative lengthening of telomeres by inducing break-induced replication

Replication stresses are the major source of break-induced replication (BIR). Here, we show that in alternative lengthening of telomeres (ALT) cells, replication stress-induced polyubiquitinated PCNA (polyUb-PCNA) triggers BIR at telomeres and the common fragile site (CFS). Consistently, depleting RAD18, a PCNA ubiquitinating enzyme, reduces the occurrence of ALT-associated PML bodies (APBs) and mitotic DNA synthesis at telomeres and CFS, both of which are mediated by BIR. In contrast, inhibiting USP1, an Ub-PCNA deubiquitinating enzyme, results in an increase in the above phenotypes in a RAD18- and UBC13 (the PCNA polyubiquitinating enzyme)-dependent manner. Furthermore, deficiency of ATAD5, which facilitates USP1 activity and unloads PCNAs, augments recombination-associated phenotypes. Mechanistically, telomeric polyUb-PCNA accumulates SLX4, a nuclease scaffold, at telomeres through its ubiquitin-binding domain and increases telomere damage. Consistently, APB increase induced by Ub-PCNA depends on SLX4 and SLX4-associated nucleases. Taken together, our results identified the polyUb-PCNA-SLX4 axis as a trigger for directing BIR.

cell biology↗

A Compound that Inhibits Glycolysis in Prostate Cancer Controls Growth of Advanced Prostate Cancer

PurposeMetastatic castration-resistant prostate cancer remains incurable regardless of recent therapeutic advances. Prostate cancer tumors display highly glycolytic phenotypes as the cancer progresses. Non-specific inhibitors of glycolysis have not been utilized successfully for chemotherapy, because of their penchant to cause systemic toxicity. This study reports the preclinical activity, safety, and pharmacokinetics of a novel small molecule preclinical candidate, BKIDC-1553, with antiglycolytic activity. Experimental designWe tested a large battery of prostate cancer cell lines for inhibition of cell proliferation, in vitro. Cell cycle, metabolic and enzymatic assays were used to demonstrate their mechanism of action. A human PDX model implanted in mice and a human organoid were studied for sensitivity to our BKIDC preclinical candidate. A battery of pharmacokinetic experiments, absorption, distribution, metabolism, and excretion experiments, and in vitro and in vivo toxicology experiments were carried out to assess readiness for clinical trials. ResultsWe demonstrate a new class of small molecule inhibitors where antiglycolytic activity in prostate cancer cell lines is mediated through inhibition of hexokinase 2. These compounds display selective growth inhibition across multiple prostate cancer models. We describe a lead BKIDC-1553 that demonstrates promising activity in a preclinical xenograft model of advanced prostate cancer, equivalent to that of enzalutamide. BKIDC-1553 demonstrates safety and pharmacologic properties consistent with a compound that can be taken into human studies with expectations of a good safety margin and predicted dosing for efficacy. ConclusionThis work supports testing BKIDC-1553 and its derivatives in clinical trials for patients with advanced prostate cancer.

cancer biology↗

Decision-consistent bias mediated by drift dynamics of human visual working memory

Sensory evidence tends to be fleeting, often unavailable when we categorize or estimate world features. To overcome this, our brains sustain sensory information in working memory. Although keeping that information accurate while acting on it is vital, humans display two canonical biases: estimates are biased toward a few stimuli ("stimulus-specific bias") and prior decisions ("decision-consistent bias"). Integrative--especially neural mechanistic--accounts of these biases remain scarce. Here, we identify drift dynamics toward discrete attractors as a common source of both biases in orientation estimation, with decisions further steering memory states. Behavior and neuroimaging data reveal how these biases co-evolve through the decision-steered attractor dynamics. Task-optimized recurrent neural networks suggest neural mechanisms that enable categorical decisions to emerge from working memory for continuous stimuli while updating its trajectory, warping decision-consistent biases under stimulus-specific drift.

neuroscience↗

The Sde phosphoribosyl-linked ubiquitin transferases exploit reticulons to protect the integrity of the Legionella-containing vacuole

Legionella pneumophila grows within host cells by forming a specialized membrane-bound compartment via the Icm/Dot type IV secretion system (T4SS). T4SS translocated Sde proteins promote phosphoribosyl-linked ubiquitination (pR-Ub) of several mammalian cell proteins, including Rtn4. In response to modification, Rtn4 forms tubular ER aggregates around the Legionella-containing vacuole (LCV). The loss of sde together with sdhA results in severe vacuole disruption at early infection timepoints. We tested if Rtn4 modification allowed it to serve as a physical barrier to protect its degradation from host-derived disruptive compartments. The challenge of the rtn4-/- macrophages with {Delta}sdhA partially phenocopied the challenge of rtn4+/+ with {Delta}sde{Delta}sdhA, indicating that Rtn4 plays a role in protecting LCV integrity. Depletion of rtn1 in rtn4-/- macrophages potentiated vacuole permeability when compared to rtn4-/- macrophages, consistent with Sde targeting multiple reticulon family members to support vacuole integrity. These results indicate that L. pneumophila exploits Rtn4 in cooperation with Rtn1 to establish a replication niche by promoting Sde-mediated tubular ER aggregates, arguing that these proteins function as a physical barrier during early steps of LCV biogenesis.

microbiology↗

A robust association test leveraging unknown genetic interactions: Application to cystic brosis lung disease

For complex traits such as lung disease in Cystic Fibrosis (CF), Gene x Gene or Gene x Environment interactions can impact disease severity but these remain largely unknown. Unaccounted-for genetic interactions introduce a distributional shift in the quantitative trait across the genotypic groups. Joint location and scale tests, or full distributional differences across genotype groups can account for unknown genetic interactions and increase power for gene identification compared with the conventional association test. Here we propose a new joint location and scale test (JLS), a quantile regression-basd JLS (qJLS), that addresses previous limitations. Specifically, qJLS is free of distributional assumptions, thus applies to non-Gaussian traits; is as powerful as the existing JLS tests under Gaussian traits; and is computationally efficient for genome-wide association studies (GWAS). Our simulation studies, which model unknown genetic interactions, demonstrate that qJLS is robust to skewed and heavy-tailed error distributions and is as powerful as other JLS tests in the literature under normality. Without any unknown genetic interaction, qJLS shows a large increase in power with non-Gaussian traits over conventional association tests and is slightly less powerful under normality. We apply the qJLS method to the Canadian CF Gene Modifier Study (n=1,997) and identified a genome-wide significant variant, rs9513900 on chromosome 13, that had not previously been reported to contribute to CF lung disease. qJLS provides a powerful alternative to conventional genetic association tests, where interactions my contribute to a quantitative trait. Author summaryCystic fibrosis (CF) is a genetic disorder caused by loss-of-function variants in CF transmembrane conductance regulator (CFTR) gene, leading to disease in several organs and notably the lungs. Even among those who share identical CF causing variants, their lung disease severity is variable, which is presumed to be caused in part by other genes besides CFTR referred to as modifier genes. Several genome-wide association studies of CF lung disease have identified associated loci but these account for only a small fraction of the total CF lung disease heritability. This may be due to other environmental factors such as infections, smoke exposure, socioeconomic status, treatment of lung diseases or a numerous other unknown or unmeasured factors that may interact with modifier genes. A class of new statistical methods can leverage these unknown interactions to better detect putative genetic loci. We provide a comprehensive simulation study that incorporates unknown interactions and we show that these statistical methods perform better than conventional approaches at identifying contributing genetic loci when the assumptions for these approaches are met. We then develop an approach that is robust to the typical normal assumptions, provide software for implementation and we apply it to the Canadian CF Gene Modifier Study to identify novel variants contributing to CF lung disease.

genomics↗

Deep learning-based survival prediction using DNA methylation-derived 3D genomic information

Three-dimensional (3D) genome states are closely related to cancer development. Nonetheless, the 3D genome information has not been clinically utilized to the best of our knowledge, due to the costly production of Hi-C data which is a manifest source of 3D genome information. Therefore, there is a need for a novel metric computable from a 3D genome-related data which is more easily accessible for the clinical utilization of 3D genome information. We here propose a method to extract 3D genome-aware epigenetic features from DNA methylation data and use these features for a deep learning-based survival prediction. These features are derived from the 3D genome structures which are rebuilt from the DNA methylation data in an individual level. The results showed that usage of 3D genome-aware features contributed to more accurate risk prediction across seven cancer types, suggesting the effectiveness of the knowledge about 3D genome structure embedded in these features. The deeper biological investigation revealed that altered DNA methylation level in risk-high group could be related to the anomalously activated genes involved in cancer-related pathways. Altogether, the risks predicted from 3D genome-aware epigenetic features showed its significance as a survival predictor in seven cancer types, along with its biological importance.

bioinformatics↗

Spatial Transcriptomics of Meningeal Inflammation Reveals Variable Penetrance of Inflammatory Gene Signatures into Adjacent Brain Parenchyma

While modern high efficacy disease modifying therapies have revolutionized the treatment of relapsing-remitting multiple sclerosis, they are less effective at controlling progressive forms of the disease. Meningeal inflammation is a recognized risk factor for cortical grey matter pathology which can result in disabling symptoms such as cognitive impairment and depression, but the mechanisms linking meningeal inflammation and grey matter pathology remain unclear. Here, we performed MRI-guided spatial transcriptomics in a mouse model of autoimmune meningeal inflammation to characterize the transcriptional signature in areas of meningeal inflammation and the underlying brain parenchyma. We found broadly increased activity of inflammatory signaling pathways at sites of meningeal inflammation, but only a subset of these pathways active in the adjacent brain parenchyma. Sub-clustering of regions adjacent to meningeal inflammation revealed the subset of immune programs induced in brain parenchyma, notably complement signaling and antigen processing/presentation. Trajectory gene and gene set modeling analysis confirmed variable penetration of immune signatures originating from meningeal inflammation into the adjacent brain tissue. This work contributes a valuable data resource to the field, provides the first detailed spatial transcriptomic characterization in a model of meningeal inflammation, and highlights several candidate pathways in the pathogenesis of grey matter pathology.

neuroscience↗

DNA-guided transcription factor cooperativity shapes face and limb mesenchyme

Transcription factors (TFs) can define distinct cellular identities despite nearly identical DNA-binding specificities. One mechanism for achieving regulatory specificity is DNA-guided TF cooperativity. Although in vitro studies suggest it may be common, examples of such cooperativity remain scarce in cellular contexts. Here, we demonstrate how Coordinator, a long DNA motif comprised of common motifs bound by many basic helix-loop-helix (bHLH) and homeodomain (HD) TFs, uniquely defines regulatory regions of embryonic face and limb mesenchyme. Coordinator guides cooperative and selective binding between the bHLH family mesenchymal regulator TWIST1 and a collective of HD factors associated with regional identities in the face and limb. TWIST1 is required for HD binding and open chromatin at Coordinator sites, while HD factors stabilize TWIST1 occupancy at Coordinator and titrate it away from HD-independent sites. This cooperativity results in shared regulation of genes involved in cell-type and positional identities, and ultimately shapes facial morphology and evolution.

genomics↗

Longevity-associated SMAD3 non-coding centenarian variant impairs a cell-type specific enhancer to reduce inflammation

Given the pro and anti-geronic roles of the TGF-{beta} superfamily in aging, we hypothesized that human longevity involves genetic variation in TGF-{beta} signaling genes. Here we utilized a candidate functional genomic approach to identify and characterize functional variants in TGF- {beta} signaling associated with human longevity. Targeted sequencing of 113 genes involved in aging- associated TGF- {beta} signaling in an Ashkenazi Jewish centenarian cohort identified genetic variants robustly associated with human longevity. In particular, a centenarian-enriched intronic variant residing in a cell-type specific enhancer in SMAD3, a critical receptor-regulated TGF- {beta} signal transducer, was identified. This non-coding SMAD3 variant (rs8040709) altered binding of ELK1, a member of the ETS family of transcription factor important for enhancer activity in certain cell types, resulting in reduced SMAD3 expression. Analysis of the variant in cell types derived from gene edited iPSCs demonstrated the variant reduced SMAD3 expression, senescence and inflammation in endothelial cells. In addition, heterozygosity in SMAD3 improved healthspan and reduced senescence in the Ercc1-/{Delta} progeroid mouse model of accelerated aging. Taken together, these experiments demonstrate that variants in a cell type specific enhancer of SMAD3 resulted in reduced expression, senescence and inflammation and contributes to human longevity. Thus, SMAD3 represents a validated targeted for drug development for extending human healthspan.

genetics↗

Comparative single-cell analyses identify shared and divergent features of human and mouse kidney development

Mammalian kidneys maintain fluid homeostasis through the cellular activity of nephrons and the conjoined collecting system. Each epithelial network originates from distinct progenitor cell populations that reciprocally interact during development. To extend our understanding of human and mouse kidney development, we profiled chromatin organization (ATAC-seq) and gene expression (RNA-seq) in developing human and mouse kidneys. Data were analyzed at a species level and then integrated into a common, cross-species multimodal data set. Comparative analysis of cell types and developmental trajectories identified conserved and divergent features of chromatin organization and linked gene activity, revealing species- and cell-type specific regulatory programs. Identification of human-specific enhancer regions linked through GWAS studies to kidney disease highlights the potential of developmental modeling to provide clinical insight.

developmental biology↗