Biology subjects

Smith, K. D.

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

9 recordsLinked to original sources

bioRxiv2026

A Human Precision Cut Kidney Slice Platform for Studying Glomerular Biology and Therapeutic Responses

Introduction: Short term human precision cut kidney slice cultures (PCKS) represent a tractable experimental that contains mature kidney cell types within their native anatomic context and that can be manipulated in vitro. In this study, we employ genomic tools to analyze the PCKS response to culture conditions and their suitability for study of glomerular disease biology. Methods: The impact of culture medium and oxygenation on PCKS viability and gene expression was explored using spatial transcriptomics and traditional histologic approaches. The biological response of PCKS to IFN{gamma} stimulation and signaling suppression by the JAK1/2 inhibitor baricitinib were also explored. Results: A genome wide atlas of glomerular and tubulointerstitial gene expression patterns was generated from PCKS cultured in different media and oxygenation conditions and at various timepoints in culture. IFN{gamma} induced APOL1 gene and protein expression in glomeruli, which could be suppressed by baricitinib. Expression changes were reproducible in PCKS derived from multiple donors. Conclusions: PCKS are reproducibly responsive to IFN{gamma} stimulation, which will allow dissection of APOL1 mediated glomerular disease mechanisms in a human tissue model system. Spatial transcriptomic profiling of tissue responses helps to tailor culture medium/oxygenation to optimize the PCKS system to address specific biological questions.

cell biology↗

bioRxiv2025

Optimizing Bispecific Antibody Expression via Multi-Omics Analysis and Vector Redesign

Bispecific antibodies are a growing class of therapeutics that simultaneously engage two targets. However, their complex molecular structures pose challenges for production in Chinese hamster ovary cells, the current industry standard for biologics manufacturing. Here we present a case study of three IgG-scFv format bsAbs expressed in CHO cells, in which one candidate exhibited markedly lower titers despite high sequence homology to the other two. Using multi-omics analysis (RNA sequencing, splicing prediction, codon optimization assessment, and motif screening) to investigate potential causes, we identified several likely mechanisms for poor expression, including aberrant splicing motifs, ribosome pausing sites, and suboptimal codon usage. Through targeted protein and DNA sequence engineering, we generated a revised variant with an 11-fold increase in stable expression titers. This work demonstrates that integrating sequence-level bioinformatic and synthetic biology diagnostics can directly improve manufacturability, providing a generalizable framework for resolving hidden expression liabilities in complex biologics.

bioengineering↗

bioRxiv2024

Rigor and Reproducibility of Digital Spatial Profiling on Clinically Sourced Human Tissues

Spatial transcriptomic profiling enables precise quantification of gene expression with simultaneous localization of expression profiles onto tissue structures. This new technology promises to improve our understanding of the disease mechanisms. Therefore, there is intense interest in applying these methods in clinical trials or as laboratory developed tests to aid in diagnosis of disease. Before these technologies can be more broadly deployed in clinical research and diagnostics, it is necessary to thoroughly understand their performance in real world conditions. In this study, we vet technical reproducibility, data normalization methods and assay sensitivity focusing predominantly on one widely used spatial transcriptomic methodology, digital spatial profiling. Using clinically sourced human tissue specimens, we find that digital spatial profiling exhibits high rigor and reproducibility. Our approach lays the foundation for incorporation of digital spatial profiling methods into clinical workflows.

pathology↗

bioRxiv2024

Role of ACSBG1 in brain lipid metabolism and X-linked adrenoleukodystrophy pathogenesis: Insights from a knockout mouse model

The "bubblegum" acyl-CoA synthetase (ACSBG1) is a pivotal player in lipid metabolism during the development of the mouse brain, facilitating the activation of long-chain fatty acids (LCFAs) and their integration into essential lipid species crucial for brain function. Through its enzymatic activity, ACSBG1 converts LCFAs into acyl-CoA derivatives, supporting vital processes like membrane formation, myelination, and energy production. Its regulatory role significantly influences neuronal growth, synaptic plasticity, and overall brain development, highlighting its importance in maintaining lipid homeostasis and proper brain function. Originally discovered in the fruit fly brain, ACSBG1 attracted attention for its potential implication in X-linked adrenoleukodystrophy (XALD) pathogenesis. Studies using Drosophila melanogaster lacking the ACSBG1 homolog, bubblegum, revealed adult neurodegeneration with elevated levels of very long-chain fatty acids (VLCFA). To explore ACSBG1s role in fatty acid (FA) metabolism and its relevance to XALD, we created an ACSBG1 knockout (Acsbg1-/-) mouse model and examined its impact on lipid metabolism during mouse brain development. Phenotypically, Acsbg1-/- mice resembled wild type (w.t.) mice. Despite its primary expression in tissues affected by XALD, brain, adrenal gland and testis, ACSBG1 depletion did not significantly reduce total ACS enzyme activity in these tissues when using LCFA or VLCFA as substrates. However, analysis unveiled intriguing developmental and compositional changes in FA levels associated with ACSBG1 deficiency. In the adult mouse brain, ACSBG1 expression peaked in the cerebellum, with lower levels observed in other brain regions. Developmentally, ACSBG1 expression in the cerebellum was initially low during the first week of life but increased dramatically thereafter. Cerebellar FA levels were assessed in both w.t. and Acsbg1-/- mouse brains throughout development, revealing notable differences. While saturated VLCFA levels were typically high in XALD tissues and in fruit flies lacking ACSBG1, cerebella from Acsbg1-/- mice displayed lower saturated VLCFA levels, especially after about 8 days of age. Additionally, monounsaturated {omega}9 FA levels exhibited a similar trend as saturated VLCFA, {omega}3 polyunsaturated FA levels werewhile elevated in Acsbg1-/- mice. Further analysis of specific FA levels provided additional insights into potential roles for ACSBG1. Notably, the decreased VLCFA levels in Acsbg1-/- mice primarily stemmed from changes in C24:0 and C26:0, while reduced {omega}9 FA levels were mainly observed in C18:1 and C24:1. ACSBG1 depletion had minimal effects on saturated long-chain FA or {omega}6 polyunsaturated FA levels but led to significant increases in specific {omega}3 FA, such as C20:5 and C22:5. Moreover, the impact of ACSBG1 deficiency on the developmental expression of several cerebellar FA metabolism enzymes, including those required for synthesis of {omega}3 polyunsaturated FA, was assessed; these FA can potentially be converted into bioactive signaling molecules like eicosanoids and docosanoids. In conclusion, despite compelling circumstantial evidence, it is unlikely that ACSBG1 directly contributes to the pathology of XALD. Instead, the effects of ACSBG1 knockout on processes regulated by eicosanoids and/or docosanoids should be further investigated.

biochemistry↗

bioRxiv2022

Nlrc4 inflammasome is critical for host protection against flagellated Salmonella

Salmonella enterica serovar Typhimurium is a leading cause of gastroenteritis worldwide and a deadly pathogen in children, immunocompromised patients, and the elderly. Salmonella induces innate immune responses through the Nlrc4 inflammasome, which has been demonstrated to have distinct roles during systemic and mucosal detection of flagellin and non-flagellin molecules. We hypothesized that Nlrc4 recognition of Salmonella flagellin is the dominant protective pathway during infection. To test this hypothesis, we used wild-type, flagellin-deficient, and flagellin-overproducing Salmonella to establish the role of flagellin in mediating Nlrc4-dependent host resistance during systemic and mucosal infection. We observed that during the systemic phase of infection, Salmonella efficiently evades Nlrc4-mediated innate immunity. However, during mucosal Salmonella infection, flagellin recognition by the Nlrc4 inflammasome pathway is the dominant mediator of protective innate immunity. These data establish that recognition of Salmonellas flagellin by the Nlrc4 inflammasome during mucosal infection is the dominant innate protective pathway for host resistance against the enteric pathogen.

immunology↗

bioRxiv2021

Digital Spatial Profiling of Collapsing Glomerulopathy

Collapsing glomerulopathy is a histologically distinct variant of focal and segmental glomerulosclerosis that presents with heavy proteinuria and portends a poor prognosis. Collapsing glomerulopathy can be triggered by viral infections such as HIV and SARS-CoV-2. Transcriptional profiling of collapsing glomerulopathy lesions is difficult since only a few glomeruli may exhibit this histology within a kidney biopsy and the mechanisms driving this heterogeneity are unknown. Therefore, we used recently developed digital spatial profiling (DSP) technology which permits quantification of mRNA at the level of individual glomeruli. Using DSP, we profiled 1,852 transcripts in glomeruli from HIV and SARS-CoV-2 infected patients with biopsy confirmed collapsing glomerulopathy. The increased resolution of DSP uncovered heterogeneity in glomerular transcriptional profiles that were missed in early laser capture microdissection studies of pooled glomeruli. Focused validation using immunohistochemistry and RNA in situ hybridization showed good concordance with DSP results. Therefore, DSP represents a powerful method to dissect transcriptional programs of pathologically discernible kidney lesions.

pathology↗

bioRxiv2019

Tumor microtubes connect pancreatic cancer cells in an Arp2/3 complex-dependent manner

Actin-based tubular connections between cells have been observed in many cell types. Termed "tunneling nanotubes (TNTs)", "membrane nanotubes", "tumor microtubes (TMTs)", or "cytonemes", these protrusions interconnect cells in dynamic networks. Structural features in these protrusions vary between cellular systems, including tubule diameter and presence of microtubules. We find tubular protrusions, which we classify as TMTs, in a pancreatic cancer cell line, DHPC-018. TMTs are present in DHPC-018-derived tumors in mice, as well as in a mouse model of pancreatic cancer and a sub-set of primary human tumors. DHPC-018 TMTs have heterogeneous diameter (0.39 - 5.85 m, median 1.92 m) and contain actin filaments, microtubules, and cytokeratin 19-based intermediate filaments. The actin filaments are cortical within the protrusion, as opposed to TNTs, in which filaments run down the center of the tube. TMTs are dynamic in length, but are long-lived (median > 60 min). Inhibition of actin polymerization, but not microtubules, results in TMT loss. A second class of tubular protrusion, which we term cell-substrate protrusion (CSP), has similar width range and cytoskeletal features but make contact with the substratum as opposed to another cell. Similar to previous work on TNTs, we find two assembly mechanisms for TMTs, which we term "pull-away" and "search-and-capture". Inhibition of the Arp2/3 complex, an actin assembly factor, inhibits TMT assembly by both mechanisms. This work demonstrates that the actin architecture of TMTs is fundamentally different from that of TNTs, as well as demonstrating the role of Arp2/3 complex on TMT assembly.

cell biology↗

bioRxiv2019

Profiling APOL1 Nephropathy Risk Variants in Genome-Edited Kidney Organoids with Single-Cell Transcriptomics

BackgroundDNA variants in APOL1 associate with kidney disease, but the pathophysiological mechanisms remain incompletely understood. Model organisms lack the APOL1 gene, limiting the degree to which disease states can be recapitulated. Here we present single-cell RNA sequencing (scRNA-seq) of genome-edited human kidney organoids as a platform for profiling effects of APOL1 risk variants in diverse nephron cell types.\n\nMethodsWe performed footprint-free CRISPR-Cas9 genome editing of human induced pluripotent stem cells (iPSCs) to knock in APOL1 high-risk G1 variants at the native genomic locus. iPSCs were differentiated into kidney organoids, treated with vehicle, IFN-{gamma}, or the combination of IFN-{gamma} and tunicamycin, and analyzed with scRNA-seq to profile cell-specific changes in differential gene expression patterns, compared to isogenic G0 controls.\n\nResultsBoth G0 and G1 iPSCs differentiated into kidney organoids containing nephron-like structures with glomerular epithelial cells, proximal tubules, distal tubules, and endothelial cells. Organoids expressed detectable APOL1 only after exposure to IFN-{gamma}. scRNA-seq revealed cell type-specific differences in G1 organoid response to APOL1 induction. Additional stress of tunicamycin exposure led to increased glomerular epithelial cell dedifferentiation in G1 organoids.\n\nConclusionsSingle-cell transcriptomic profiling of human genome-edited kidney organoids expressing APOL1 risk variants provides a novel platform for studying the pathophysiology of APOL1-mediated kidney disease.\n\nSIGNIFICANCE STATEMENTGaps persist in our mechanistic understanding of APOL1-mediated kidney disease. The authors apply genome-edited human kidney organoids, combined with single-cell transcriptomics, to profile APOL1 risk variants at the native genomic locus in different cell types. This approach captures interferon-mediated induction of APOL1 gene expression and reveals cellular dedifferentiation after a secondary insult of endoplasmic reticulum stress. This system provides a human cellular platform to interrogate complex mechanisms and human-specific regulators underlying APOL1-mediated kidney disease.

genomics↗

bioRxiv2019

Identification of pathogen genomic differences that impact human immune response and disease during Cryptococcus neoformans infection

Patient outcomes during infection are due to a complex interplay between the quality of medical care, host immunity factors, and the infecting pathogens characteristics. To probe the influence of pathogen genotype on human immune response and disease, we examined Cryptococcus neoformans isolates collected during the Cryptococcal Optimal ART Timing (COAT) trial in Uganda. We measured human participants immunologic phenotypes, meningitis disease parameters, and survival. We compared this clinical data to whole genome sequences from 38 C. neoformans isolates of the most frequently observed sequence type (ST) ST93 in our Ugandan participant population, and an additional 18 strains from 9 other sequence types representing the known genetic diversity within the Ugandan Cryptococcus clinical isolates. We focused our analyses on 652 polymorphisms that: were variable among the ST93 genomes, were not in centromeres or extreme telomeres, and were predicted to have a fitness effect. Logistic regression and principal component analyses identified 40 candidate Cryptococcus genes and 3 hypothetical RNAs associated with human immunologic response or clinical parameters. We infected mice with 17 available KN99 gene deletion strains for these candidate genes and found that 35% (6/17) directly influenced murine survival. Four of the six gene deletions that impacted murine survival were novel. Such bedside-to-bench translational research provides important candidate genes for future studies on virulence-associated traits in human Cryptococcus infections.\n\nAuthor SummaryEven with the best available care, mortality rates in cryptococcal meningitis range from 20-60%. Disease is often due to infection by the fungus Cryptococcus neoformans and involves a complex interaction between the human host and the fungal pathogen. Although previous studies have suggested genetic differences in the pathogen impact human disease, it has proven quite difficult to identify the specific C. neoformans genes that impact the outcome of the human infection. Here, we take advantage of a Ugandan patient cohort infected with closely related C. neoformans strains to examine to role of pathogen genetic variants on several human disease characteristics. Using a pathogen whole genome sequencing approach, we showed that 40 C. neoformans genes are associated with human disease. Surprisingly, many of these genes are specific to Cryptococcus and have unknown functions. We also show deletion of these genes alters disease in a mouse model of infection, confirming their role in disease. These findings are particularly important because they are the first to identify C. neoformans genes associated with human cryptococcal meningitis and lay the foundation for future studies that may lead to new treatment strategies aimed at reducing patient mortality.

genetics↗