Selected Grantee Publications
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- 13 results found
- Aquatic Vertebrate Models
- Imaging
- Spectrometry
De Novo and Inherited Variants in DDX39B Cause a Novel Neurodevelopmental Syndrome
Booth et al., Brain. 2025.
https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awaf035/8004980?login=true
DDX39B is a core component of the TRanscription-EXport (TREX) super protein complex. Recent studies have highlighted the important role of TREX subunits in neurodevelopmental disorders. Researchers describe a cohort of six individuals (male and female) from five families with disease-causing de novo missense variants or inherited splice-altering variants in DDX39B. Three individuals in the cohort are affected by mild to severe developmental delay, hypotonia, history of epilepsy or seizure, short stature, skeletal abnormalities, variable dysmorphic features, and microcephaly. Using a combination of patient genomic and transcriptomic data, in silico modeling, in vitro assays, and in vivo Drosophila and zebrafish models, this study implicates disruption of DDX39B in a novel neurodevelopmental disorder called TREX-complex-related neurodevelopmental syndrome. Supported by ORIP (U54OD030165).
Differentiation Success of Reprogrammed Cells Is Heterogeneous In Vivo and Modulated by Somatic Cell Identity Memory
Zikmund et al., Stem Cell Reports. 2025.
https://pubmed.ncbi.nlm.nih.gov/40086446
Nuclear reprogramming can change cellular fates, yet reprogramming efficiency is low, and the resulting cell types are often not functional. Researchers used nuclear transfer to Xenopus eggs to follow single cells during reprogramming in vivo. Results showed that the differentiation success of reprogrammed cells varies across cell types and depends on the expression of genes specific to the previous cellular identity. Subsets of reprogramming-resistant cells fail to form functional cell types and undergo cell death or disrupt normal body patterning. Reducing expression levels of genes specific to the cell type of origin leads to better reprogramming and improved differentiation trajectories. This study demonstrates that failing to reprogram in vivo is cell type specific and emphasizes the necessity of minimizing aberrant transcripts of the previous somatic identity for improving reprogramming. Supported by ORIP (R24OD031956).
Enhanced RNA-Targeting CRISPR-Cas Technology in Zebrafish
Moreno-Sánchez et al., Nature Communications. 2025.
https://pubmed.ncbi.nlm.nih.gov/40091120
CRISPR-Cas13 RNA-targeting systems, widely used in basic and applied sciences, have generated controversy because of collateral activity in mammalian cells and mouse models. In this study, researchers optimized transient formulations as ribonucleoprotein complexes or mRNA-gRNA combinations to enhance the CRISPR-RfxCas13d system in zebrafish. Researchers used chemically modified gRNAs to allow more penetrant loss-of-function phenotypes, improve nuclear RNA targeting, and compare different computational models to determine the most accurate prediction of gRNA activity in vivo. Results demonstrate that transient CRISPR-RfxCas13d can effectively deplete endogenous mRNAs in zebrafish embryos without inducing collateral effects, except when targeting extremely abundant and ectopic RNAs. Their findings contribute to CRISPR-Cas technology optimization for RNA targeting in zebrafish through transient approaches and advance in vivo applications. Supported by ORIP (R21OD034161), NICHD, and NIGMS.
Stat3 Mediates Fyn Kinase-Driven Dopaminergic Neurodegeneration and Microglia Activation
Siddiqui et al., Disease Models & Mechanisms. 2024.
https://pubmed.ncbi.nlm.nih.gov/39641161
The FYN gene is a risk locus for Alzheimer’s disease and several other neurodegenerative disorders. FYN encodes Fyn kinase, and previous studies have shown that Fyn signaling in dopaminergic neurons and microglia plays a role during neurodegeneration. This study investigated Fyn signaling using zebrafish that express a constitutively active Fyn Y531F mutant in neural cells. Activated neural Fyn signaling in the mutant animals resulted in dopaminergic neuron loss and induced inflammatory cytokine expression when compared with controls. Transcriptomic and chemical inhibition analyses revealed that Fyn-driven changes were dependent on the Stat3 and NF-κB signaling pathways, which work synergistically to activate neuronal inflammation and degeneration. This study provides insight into the mechanisms underlying neurodegeneration, identifying Stat3 as a novel effector of Fyn signaling and a potential translational target. Supported by ORIP (R24OD020166).
Temperature-Dependent Alterations in the Proteome of the Emergent Fish Pathogen Edwardsiella piscicida
Jacobsen et al., Journal of Fish Diseases. 2024.
https://pubmed.ncbi.nlm.nih.gov/39304982
Reported outbreaks of Edwardsiella piscicida, a bacterial pathogen among cultured and wild fish, have been steadily increasing over the past decade in tandem with climate change–mediated increases in water temperatures. The capacity for this increasingly prevalent fish pathogen to infect and cause disease in mammals is important to understand. Researchers examined the role of temperature on the virulence of E. piscicida to understand its pathogenesis in the context of climate warming trends and better understand its zoonotic potential. Findings revealed downregulation of virulence-related proteins, such as flagellar and Type VI secretion system proteins, at colder temperatures. These findings highlight the potential environmental factors influencing the pathogen’s threat to aquaculture and public health. Supported by ORIP (S10OD026918, T32OD011147).
Gigapixel Imaging With a Novel Multi-Camera Array Microscope
Thomson et al., eLife. 2022.
https://www.doi.org/10.7554/eLife.74988
The dynamics of living organisms are organized across many spatial scales. The investigators created assembled a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution, large field-of-view recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, they computationally generated gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This system allows the team to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales (e.g., larval zebrafish, fruit flies, slime mold). Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms. Supported by ORIP (R44OD024879), NIEHS, NCI, and NIBIB.
A Multidimensional Metabolomics Workflow to Image Biodistribution and Evaluate Pharmacodynamics in Adult Zebrafish
Jackstadt et al., Disease Models & Mechanisms. 2022.
https://www.doi.org/10.1242/dmm.049550
The evaluation of tissue distribution and pharmacodynamic properties of a drug is essential but often expensive in clinical research. The investigators developed a multidimensional metabolomics platform to evaluate drug activity that integrates mass spectrometry–based imaging, absolute drug quantitation, in vivo isotope tracing, and global metabolome analysis in zebrafish. They validated this platform by evaluating whole-body distribution of the anti-rheumatic agent hydroxychloroquine sulfate and its impact on the systemic metabolism of adult zebrafish. This work suggests that the multidimensional metabolomics platform is a cost-effective method for evaluating on- and off-target effects of drugs. Supported by ORIP (R24OD024624) and NIEHS.
Functional and Ultrastructural Analysis of Reafferent Mechanosensation in Larval Zebrafish
Odstrcil et al., Current Biology. 2022.
https://www.sciencedirect.com/science/article/pii/S096098222101530X
All animals need to differentiate between exafferent stimuli (caused by the environment) and reafferent stimuli (caused by their own movement). Researchers characterized how hair cells in zebrafish larvae discriminate between reafferent and exafferent signals. Dye labeling of the lateral line nerve and functional imaging was combined with ultra-structural electron microscopy circuit reconstruction to show that cholinergic signals originating from the hindbrain transmit efference copies, and dopaminergic signals from the hypothalamus may affect threshold modulation. Findings suggest that this circuit is the core implementation of mechanosensory reafferent suppression in these young animals. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Whole-Organism 3D Quantitative Characterization of Zebrafish Melanin by Silver Deposition Micro-CT
Katz et al., eLife. 2021.
https://www.biorxiv.org/content/10.1101/2021.03.11.434673v1
This research team combined micro-computed tomography (CT) with a novel application of ionic silver staining to characterize melanin distribution in whole zebrafish larvae. The resulting images enabled whole-body, computational analyses of regional melanin content and morphology. Normalized micro-CT reconstructions of silver-stained fish consistently reproduced pigment patterns seen by light microscopy and allowed direct quantitative comparisons of melanin content. Silver staining of melanin for micro-CT provides proof-of-principle for whole-body, 3D computational phenomic analysis of a specific cell type at cellular resolution. Advances such as this in whole-organism, high-resolution phenotyping provide superior context for studying the phenotypic effects of genetic, disease, and environmental variables. Supported by ORIP (R24OD018559).
Deep Learning-Based Framework for Cardiac Function Assessment in Embryonic Zebrafish from Heart Beating Videos
Naderi et al., Computers in Biology and Medicine. 2021.
https://www.sciencedirect.com/science/article/pii/S0010482521003590
Zebrafish is a powerful model system for a host of biological investigations, cardiovascular studies, and genetic screening. However, the current methods for quantifying and monitoring zebrafish cardiac functions involve tedious manual work and inconsistent estimations. Naderi et al. developed a Zebrafish Automatic Cardiovascular Assessment Framework (ZACAF) based on a U-net deep learning model for automated assessment of cardiovascular indices, such as ejection fraction (EF) and fractional shortening (FS) from microscopic videos of wildtype and cardiomyopathy mutant zebrafish embryos. The framework could be widely applicable with any laboratory resources, and the automatic feature holds promise to enable efficient, consistent, and reliable processing and analysis capacity. Supported by ORIP (R44OD024874)