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Smith, E. D.

Publications and source records attributed to Smith, E. D..

7 recordsLinked to original sources

Genomic Engineering of Gene Dosage: A Generalizable Framework for Modeling Haploinsufficiency-Mediated Human Disorders through Splicing Modulation

Heterozygous loss-of-function variants causing gene dosage reduction underlie many human genetic disorders, yet preclinical mouse models frequently fail to recapitulate human disease phenotypes due to post-translational compensation. Here, we present a generalizable framework to modulate gene dosage by alternative splicing via genome editing. By shifting proportions of transcripts toward nonsense-mediated decay, this approach enables precise titration of functional protein levels. Applying this concept to Mybpc3, we combined hypomorphic splice-altering alleles to overwhelm post-translational buffering in mice, successfully reproducing hallmark structural and functional features of human hypertrophic cardiomyopathy. Extending this concept, we engineered a portable Modulated Alternative Splice Cassette (MASC) inserted into Dsp, yielding patient-level protein reductions and characteristic arrhythmogenic cardiomyopathy pathologies, including subepicardial cardiac fibrosis and immune cell infiltration. These novel haploinsufficient models of Mybpc3 hypertrophic cardiomyopathy and Dsp arrhythmogenic cardiomyopathy will critically enable mechanistic and therapeutic testing under protein stoichiometry conditions that closely replicate the patient disorders. Finally, systematic in silico predictive modeling across 645 human haploinsufficiency-associated genes demonstrated the generalizability of MASC insertion effects on splicing across diverse tissue types. Notably, the framework developed here leaves endogenous gene expression regulatory logic intact, allowing these models to be used to develop and validate therapeutic approaches that target transcription. Overall, this strategy provides a scalable roadmap for engineering high-fidelity animal models for human diseases caused by haploinsufficiency.

genetics↗

Desmoplakin Haploinsufficiency Underlies Cell-Cell Adhesion Failure in DSP Cardiomyopathy and is Rescued by Transcriptional Activation

BackgroundTruncating variants in desmoplakin (DSPtv), are a leading cause of arrhythmogenic cardiomyopathy (ACM), often presenting with early fibrosis and arrhythmias disproportionate to systolic dysfunction. DSP is critical for cardiac mechanical integrity, linking desmosomes to the cytoskeleton to withstand contractile forces. While loss-of-function is implicated, direct evidence, both for DSP haploinsufficiency in human hearts and for the impact of mechanical stress on cardiomyocyte adhesion, has been limited, leaving the pathogenic mechanism unclear. MethodsWe analyzed explanted human heart tissue from patients with DSPtv (N=3), titin truncating variants (TTNtv, N=5), and controls (N=5) using RNA-sequencing and mass spectrometry. We generated human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) harboring patient-derived or CRISPR-Cas9 engineered DSPtv to model a range of DSP expression levels. Using a 2D cardiac muscle bundle (CMB) platform enabling live visualization of cell junctions, we developed an assay to assess cell-cell adhesion upon heightened contractile stress in response to the contractile agonist endothelin-1. CRISPR-interference (CRISPRi) was used to confirm the role of DSP loss, and CRISPR-activation (CRISPRa) was tested for therapeutic rescue. ResultsCompared to both control and TTNtv hearts, DSPtv human hearts exhibited reduced DSP at both the mRNA and protein level, as well as broadly disrupted desmosomal stoichiometry. Transcriptomic and proteomic analyses implicated cell adhesion, extracellular matrix, and inflammatory pathways. iPSC-CM models recapitulated DSP haploinsufficiency and desmosomal disruption. DSPtv CMBs showed normal baseline contractile function. However, they displayed marked cell-cell adhesion failure with contractile stress (75% failure vs. 8% in controls, p<0.001). Adhesion failure was prevented by the myosin inhibitor, mavacamten. CRISPRi-mediated DSP knockdown replicated this susceptibility to adhesion failure. Conversely, CRISPRa robustly increased DSP expression and rescued cell-cell adhesion failure in DSPtv CMBs (9% failure post-CRISPRa, p<0.001 vs. un-treated). Rescue occurred even when only the DSPII isoform was upregulated in a model with biallelic DSP transcript 1 loss of function. ConclusionsDSP haploinsufficiency is the major cause of DSP cardiomyopathy with a primary consequence of conferring vulnerability to cardiomyocyte cell-cell adhesion failure under heightened contractile stress. Transcriptional activation of DSP reverses this defect in preclinical models, establishing proof-of-concept for a potential therapeutic strategy in DSP cardiomyopathy.

genetics↗

FICD deficiency protects mice from hypertrophy-induced heart failure via BiP-mediated activation of the UPRER and ER-phagy

Cardiomyocytes require the HSP70 chaperone BiP to maintain proteostasis in the endoplasmic reticulum (ER) following cardiac stress. The adenylyl transferase (AMPylase) FICD is increasingly recognized to regulate BiP activity through the post-translational addition of an adenosine monophosphate moiety to BiP surface residues. However, the physiological impact of FICD-mediated BiP regulation in the context of cardiovascular health is unknown. Here, we find that FICD deficiency prevents pressure overload-associated heart failure, hypertrophy, and fibrosis, and that FICD knockout mice maintain normal cardiac function after cardiac pressure overload. At a cellular level, we observe that FICD-mediated BiP AMPylation blunts the induction of the unfolded protein response (UPRER) and impairs BiP interaction with FAM134B, an ER-phagy receptor, thus limiting ER-phagy induction under stress. In contrast, FICD loss significantly increases BiP-dependent UPRER induction and ER-phagy in stressed cardiomyocytes. We also uncover cell type-specific consequences of FICD activity in response to ER stress, positioning FICD as a critical proteostasis regulator in cardiac tissue. Our results highlight a novel regulatory paradigm controlling stress resilience in cardiomyocytes and offer a rationale to consider FICD as a therapeutic target to treat cardiac hypertrophy.

cell biology↗

Hyperacetylation mimetics within the tau filament core inhibits prion-like propagation of misfolded tau

The two most prominent post-translational modifications of pathologic tau are Ser/Thr/Tyr phosphorylation and Lys acetylation. Whether acetylation impacts the susceptibility of tau to templated seeding in diseases like Alzheimers disease (AD) and Progressive Supranuclear Palsy (PSP) is largely uncharacterized. Towards this, we examined how acetylation mimicking or nullifying mutations on five sites of tau (K311, K353, K369, K370, K375), located within the tau filament core, influenced the susceptibility of P301L (PL) tau to seeds from AD (AD-tau) or PSP (PSP-tau) in HEK293T cells. Acetyl-mimicking substitutions of individual Lys sites to Glutamine as well as mutation of all 5 sites together (PL+5K-Q and PL+5K-R) had inconsistent effects on tau seeding by AD-tau or PSP-tau seeds. Unexpectedly, mutating all 5 sites to Alanine (PL+5K-A) resulted in a tau variant that spontaneously aggregated. These aggregates were amorphous and yet able to propagate to naive cells expressing P301L tau but not wild-type tau. Previously, we reported that a phospho-mimetic S305E mutation in PL tau abrogated seeding by AD-tau but not PSP-tau seeds in the HEK293T cells. To assess how changes in acetylation and phosphorylation together could influence seeding, we combined the S305E and the 5K-Q mutations in P301L tau, creating a variant that retained specificity for PSP-tau seeds over AD-tau seeds. Our findings indicate that phosphorylation of tau at Ser305 is a strong determinant of disease-specific tau templating, even in the presence of hyperacetylation within the fibril core domain. Overall, our findings suggest that acetylation could be a secondary modifier of misfolded hyperphosphorylated tau seeds.

neuroscience↗

Development and Implementation of Novel Chatbot-based Genomic Research Consent

ObjectiveTo conduct a retrospective analysis comparing traditional human-based consenting to an automated chat-based consenting process. Materials and MethodsWe developed a new chat-based consent using our IRB-approved consent forms. We leveraged a previously developed platform (Gia(R), or "Genetic Information Assistant") to deliver the chat content to candidate participants. The content included information about the study, educational information, and a quiz to assess understanding. We analyzed 144 families referred to our study during a 6-month time period. A total of 37 families completed consent using the traditional process, while 35 families completed consent using Gia. ResultsEngagement rates were similar between both consenting methods. The median length of the consent conversation was shorter for Gia users compared to traditional (44 vs. 76 minutes). Additionally, the total time from referral to consent completion was faster with Gia (5 vs. 16 days). Within Gia, understanding was assessed with a 10-question quiz that most participants (96%) passed. Feedback about the chat consent indicated that 86% of participants had a positive experience. DiscussionUsing Gia resulted in time savings for both the participant and study staff. The chatbot enables studies to reach more potential candidates. We identified five key features related to human-centered design for developing a consent chat. ConclusionThis analysis suggests that it is feasible to use an automated chatbot to scale obtaining informed consent for a genomics research study. We further identify a number of advantages when using a chatbot.

genetics↗

Long-read assembly and comparative evidence-based reanalysis of Cryptosporidium genome sequences reveal new biological insights

Cryptosporidiosis is a leading cause of waterborne diarrheal disease globally and an important contributor to mortality in infants and the immunosuppressed. Despite its importance, the Cryptosporidium community still relies on a fragmented reference genome sequence from 2004. Incomplete reference sequences hamper experimental design and interpretation. We have generated a new C. parvum IOWA genome assembly supported by PacBio and Oxford Nanopore long-read technologies and a new comparative and consistent genome annotation for three closely related species C. parvum, C. hominis and C. tyzzeri. The new C. parvum IOWA reference genome assembly is larger, gap free and lacks ambiguous bases. This chromosomal assembly recovers 13 of 16 possible telomeres and raises a new hypothesis for the remaining telomeres and associated subtelomeric regions. Comparative annotation revealed that most "missing" orthologs are found suggesting that species differences result primarily from structural rearrangements, gene copy number variation and SNVs in C. parvum, C. hominis and C. tyzzeri. We made >1,500 C. parvum annotation updates based on experimental evidence. They included new transporters, ncRNAs, introns and altered gene structures. The new assembly and annotation revealed a complete DNA methylase Dnmt2 ortholog. 190 genes under positive selection including many new candidates were identified using the new assembly and annotation as reference. Finally, possible subtelomeric amplification and variation events in C. parvum are detected that reveal a new level of genome plasticity that will both inform and impact future research.

genomics↗

Modeling gene expression networks to predict interchromosomal organization during human embryonic stem cell differentiation

Cellular differentiation occurs through the regulation of lineage-specific gene expression networks that are facilitated by the spatial organization of the genome. Although techniques based on the chromatin conformation capture (3C) approach have yielded intrachromosomal genome-wide interaction maps, strategies to identify non-random interchromosomal associations is lacking. Therefore, we modeled the genomic organization of chromosomes based on the regulatory networks involved in the differentiation of pluripotent human embryonic stem cells (hESCs) to committed neuronal precursor cells (cNPCs). Importantly, transcriptional regulation has been demonstrated to be a driving force in non-random genome organization. Thus, we constructed coarse-grained in silico networks using gene expression data to identify potential physical associations among chromosomes occurring in situ and then analyzed the three-dimensional (3D) distribution of these chromosomes, assessing how their associations contribute to nuclear organization. Our analysis suggests that coordinate regulation of differentially expressed genes is correlated with the 3D organization of chromosomes in hESC nuclei induced to differentiate to cNPCs.\n\nAuthor SummaryThe cellular commitment and differentiation of stem cells is a hallmark of metazoan development. The ultimate fate of a stem cell is defined by the synergistic modulation of key gene regulatory networks within the nucleus. In our work, we formulate an in silico model describing how the similarity in the expression profile of differentially regulated gene networks is correlated with the higher-order organization of chromosomes during differentiation from human embryonic stem cells (hESCs) to committed neuronal precursor cells (cNPCs). Using graph statistics, we observe that the genome networks generated using the in silico model exhibit properties similar to real-world networks. In addition to modeling how gene expression relates to dynamic changes in chromosome organization, we test the model by calculating the relative proximity of multiple chromosome pairs using 3D fluorescence in situ hybridization (FISH). While various chromosomal properties, including gene density and overall length, have been attributed to chromosome organization, our previous work has identified the emergence of cell-type specific chromosomal topologies related to coordinate gene regulation during cellular differentiation. Here we extend these findings by determining whether our in silico model can predict chromosome association based upon coordinate gene expression. Our work supports the idea that gene co-regulation, in addition to inherent organizational constraints of the nucleus, influences three-dimensional chromosome organization.

systems biology↗