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Biology subjects

Yoon, Y.

Publications and source records attributed to Yoon, Y..

18 recordsLinked to original sources

Mutation-Agnostic Base Editing of the Progerin Farnesylation Site Rescues Hutchinson-Gilford Progeria Syndrome Phenotypes in Neuromuscular Organoids

Hutchinson Gilford progeria syndrome (HGPS) is a fatal premature aging disorder caused by pathogenic farnesylated lamin A variants that disrupt nuclear architecture and DNA repair. Current therapies, including farnesyltransferase inhibitors, provide only modest survival benefits and lack molecular specificity, while mutation-specific genome-editing strategies cannot address atypical laminopathies. Here, we develop Farnesylation Amino acid Targeted Editing (FATE), a mutation-agnostic base-editing platform that selectively disrupts the LMNA farnesylation motif without affecting other farnesylated proteins. Using isogenic human pluripotent stem cell derived neuromuscular organoids (NMOs), we reveal muscle-specific progerin accumulation that sequesters 53BP1 and abolishes DNA damage foci formation. FATE eliminates perinuclear progerin, restores 53BP1 mobility, reconstitutes DNA repair foci, and normalizes heterochromatin architecture. Importantly, transient delivery of FATE mRNA conjugated with lipid nanoparticles to HGPS NMOs achieves efficient base editing and phenotypic rescue. These findings establish FATE as a mutation-independent therapeutic strategy targeting a fundamental pathogenic mechanism in HGPS and provide a proof-of-concept for RNA-based in situ genome editing in progeroid disease.

pathology↗

Adrenomedullin-RAMP2 enhances endothelial cell maturation synergistically with shear stress

Analysis of pulmonary vascular dysfunction in various lung pathologies remains challenging due to the lack of functional ex vivo models. Paracrine signaling in the lung plays a critical role in regulating endothelial maturation and vascular homeostasis. Previously, we employed single-cell RNA-sequencing (scRNAseq) to systematically map ligand-receptor (L/R) interactions within the lung vascular niche. However, the functional impact of these ligands on endothelial biology remained unknown. Here, we systematically evaluated selected ligands in vitro to assess their effects on endothelial barrier integrity, anti-inflammatory responses, and phenotypic maturation. Among the top soluble ligands, we found that adrenomedulin (ADM) exhibited superior barrier enhancing effect on human pulmonary endothelial cell monolayers, as evidenced by electrical cell impedance sensing (ECIS) and XperT assays. ADM also exhibited anti-inflammatory properties, decreasing ICAM1 and increasing IkBa expression in a dose-dependent manner. Shear stress (15 dynes/cm2) alone increased endothelial characteristics, including homeostatic markers such as CDH5, NOS3, TEK, and S1PR1. ADM treatment maintained the enhanced level of these markers under shear stress and further improved anti-coagulation by increasing THBD and decreasing F3 expression, and synergistically enhanced the expression of the native lung aerocyte capillary endothelial marker EDNRB. This effect was completely attenuated by a blockade of ADM receptor, RAMP2. Together, these findings identify ADM/RAMP2 signaling as a key paracrine pathway that enhances vascular barrier integrity, anti-inflammatory phenotype, and endothelial homeostasis, providing a framework for improving the physiological relevance of engineered vascular models.

bioengineering↗

Pathway impact analysis (PIS) for robust and comprehensive interpretation of differentially expressed genes (DEGs)

In transcriptome analysis, identifying differentially expressed genes (DEGs) is fundamental for understanding cellular responses and elucidating disease mechanisms. However, conventional DEG selection often relies on arbitrary thresholds for fold change and statistical significance, which are sensitive to experimental noise and sample size, thereby affecting reproducibility and biological interpretability. We present the Pathway Impact Score (PIS), a data-adaptive method that optimizes DEG thresholds by maximizing cumulative pathway enrichment. Unlike fixed cut-offs, PIS systematically determines dataset-specific thresholds that yield the most coherent and enriched pathways. Validation using the MAQC2 benchmark and 16 dataset of pulmonary fibrosis model suggested that PIS can improve the recovery of true DEGs, while maintaining stability under varying noise levels and replicate counts, and increasing pathway enrichment strength. PIS also supported high-resolution analysis of dose-dependent transcriptomic responses to phosphodiesterase (PDE) inhibitors, capturing pathway-level perturbations that appeared to align with each compounds potency. Such analyses may facilitate more precise characterization of drug-induced transcriptional changes, highlighting the potential of PIS for integrative transcriptomic studies. Overall, PIS provides a practical, biologically informed framework for adaptive DEG selection, particularly suited for meta-analyses and integrative studies where dataset-specific variability needs careful consideration. It is designed for seamless integration into existing transcriptomic analysis pipelines or as a complementary module, requiring minimal additional parameter tuning beyond standard differential expression workflows.

bioinformatics↗

The competition between splicing and 3' processing shapes the human transcriptome

Eukaryotic pre-mRNA processing steps, including splicing and 3' processing, are tightly coordinated, yet the underlying mechanisms remain incompletely understood. U1 snRNP has been proposed to inhibit 3' processing at intronic polyadenylation (IPA) sites through a splicing-independent mechanism termed telescripting. In contrast, we discovered that disrupting splicing--by targeting various key components such as U1 snRNP, U2 snRNP, U2AF, and SF3b--activates 3' processing at thousands of IPA sites. Notably, splicing inhibition, especially of U1 snRNP, induced widespread premature transcription termination within gene bodies through both IPA-coupled and -independent mechanisms. Different splicing factors activated overlapping and distinct sets of IPA sites, reflecting their specific contributions to transcription and spliceosome function. Conversely, inhibition of 3' processing enhanced splicing globally. These findings support a model in which splicing and 3' processing are competing processes that intersect with transcription to shape the transcriptome landscape.

molecular biology↗

LENG8 mediates RNA nuclear retention and degradation in eukaryotes

In eukaryotes, incompletely processed and misprocessed mRNAs as well as numerous noncoding RNAs are retained in the nucleus and often degraded. However, the mechanisms for this critical quality control pathway remain poorly understood. Here we identify LENG8 as a conserved RNA nuclear retention factor. We showed that LENG8 is recruited to pre-mRNAs by splicing factors, including the U1 snRNP. LENG8 binds to PCID2 and SEM1 to form the REX (Repressor of EXport) complex, which is conserved from yeast to human, and causes RNA nuclear retention by acting as a dominant negative factor for the essential mRNA export factor TREX-2. LENG8 depletion leads to the leakage of misprocessed mRNAs, including intronically polyadenylated and intron-retained mRNAs, as well as noncoding RNAs into the cytoplasm. Finally, LENG8 promotes RNA degradation by recruiting PAXT and the RNA exosome. Thus our study revealed a conserved quality control mechanism for eukaryotic gene expression that ensures only fully and correctly processed RNAs are exported from the nucleus.

molecular biology↗

γ-Amino Carboxylic Acid Modification Enhances the Efficacy of PNAs Targeting miR-221-3p in A549 Cells

Peptide nucleic acids (PNAs) are versatile tools for diagnostic and therapeutic applications, including gene regulation and miRNA targeting. However, their therapeutic potential is often limited by challenges such as biological efficacy. To address this, PNAs offer a key advantage over other nucleic acids--their ease of modification, which allows for enhanced properties. In this study, we introduced a novel{gamma} -amino carboxylic acid ({gamma}-ACA) modification to PNAs targeting miR-221-3p, a key miRNA implicated in various pathological processes. The modified PNAs showed significantly improved binding affinity to their targets and more efficient inhibition of miR-221-3p expression compared to unmodified PNAs in A549 cells, leading to effective regulation of downstream gene and protein expression. These results highlight the potential of{gamma} -modified PNAs as a platform for developing miRNA-targeted therapeutics.

molecular biology↗

Vascular endothelial growth factor-D improves lung vascular integrity during acute lung injury

Disorders in pulmonary vascular integrity are a prominent feature in many lung diseases. Paracrine signaling is highly enriched in the lung and plays a crucial role in regulating vascular homeostasis. However, the specific local cell-cell crosstalk signals that maintain pulmonary microvascular stability in adult animals and humans remain largely unexplored. In this study, we employed single-cell RNA-sequencing (scRNAseq)-based computational pipelines to systematically profile ligand-receptor (L/R) interactions within the lung microvascular niche and identified vascular endothelial growth factor-D (VEGF-D) as a key local factor with previously unrecognized barrier-protective properties in models of acute lung injury. Our scRNAseq data revealed that, under physiological conditions, soluble L/R interactions between mesenchymal cells, in particular alveolar fibroblast, and microvascular endothelial cells are predominantly associated with pathways involved in maintaining vascular integrity as compared to all other cells. Upon treatment with top identified ligands, we found that VEGF-D significantly enhanced endothelial barrier function and conferred protection against inflammatory challenges induced by tumor necrosis factor- (TNF-), interleukin-1{beta} (IL-1{beta}), and thrombin. This barrier-protective effect of VEGF-D was significantly attenuated by inhibition of VEGFR2, either through siRNA knockdown or pharmacological blockade using specific VEGFR2 inhibitors. Intravenous administration of recombinant VEGF-D in lipopolysaccharides (LPS)-induced acute lung injury models significantly reduced vascular permeability (7339 {+/-} 2510 (LPS) v.s. 5350 {+/-} 1821 (LPS + VEGF-D), p < 0.05), immune cell infiltration (0.791 {+/-} 0.199 x 106 WBC/mL (LPS) v.s. 0.540 {+/-} 0.190 x 106 WBC/mL (LPS + VEGF-D), p < 0.01), and the expression of pro-inflammatory markers TNF- and IL-6 in the lung tissue. This effect was abolished in VEGFR2iECKO mice, confirming that VEGF-D mediates its effects via VEGFR2-dependent signaling. This study demonstrates an unexpected protective role for VEGF-D in promoting lung endothelial barrier integrity and suggests that paracrine signaling from the alveolar fibroblast niche contributes critically to lung capillary homeostasis.

molecular biology↗

TGF-β expressed by M2 macrophages promotes wound healing by inhibiting TSG-6 expression by mesenchymal stem cells

Wound healing involves the collaboration of multiple cells, including macrophages and fibroblasts, and requires the coordination of cytokines, growth factors, and matrix proteins to regulate the repair response. In this study, we investigated how M2 macrophages regulate expression of the anti-fibrotic and anti-inflammatory regulator tumor necrosis factor- (TNF-)-stimulated gene 6 (TSG-6) secreted by adipose tissue-derived stem cells (ASCs) during wound healing. Interleukin (IL)-4/IL-13, which is used to differentiate macrophage M2 phenotypes, increases TSG-6 in ASCs; however, M2 macrophages significantly decrease TSG-6 in ASCs. Transforming growth factor (TGF)-{beta} expression was increased, and TNF- expression was decreased in M2 macrophages. TGF-{beta} inhibited IL-4/IL-13-induced ASC TSG-6 expression. In addition, TSG-6 suppressed TGF-{beta}-triggered wound closure and fibrogenic responses in LX-2 cells. Collectively, TSG-6 inhibited wound healing, but M2 macrophage-expressed TGF-{beta} prevented TSG-6 production from ASCs, which ultimately helped wound healing. Our results indicate that the balance of TNF- and TGF-{beta} levels during wound healing regulates TSG-6 production from ASCs, which may ultimately modulate the healing process. Our study findings could contribute to novel therapeutic strategies that manipulate the delicate balance between TNF- and TGF-{beta} to enhance wound repair and mitigate fibrosis.

cell biology↗

Early zygotic engineering promotes targeted large transgene integration and direct production of fully transgenic animals

Genetic engineering has become increasingly feasible with the advent of site-specific nucleases. This technology is highly effective for the generation of small mutations, however targeted insertion of large sequences to generate transgenic animals remains challenging, time consuming, and laborious. Following several failed attempts using the same reagents, we identified a protocol that achieved very high targeted integration of a 3.2 kb transgene into a single locus of a humanized mouse model of Down syndrome. Moreover, we demonstrate in multiple ways that this procedure directly generates numerous non-mosaic founder animals, which bred true to generate all transgenic progeny. In vitro fertilization of oocytes was followed by AAV-mediated delivery of donor sequence and electroporation of Cas9 ribonucleoprotein, all parameters designed to promote early zygotic engineering (EZE). This strategy can obviate the need to breed mosaic animals for germline transmission and can enable engineering of difficult to breed animals. While efforts to improve genome engineering focus on reagents and delivery techniques, findings here suggest a narrow window of time in the early fertilized oocyte, likely before genome replication, is key to achieve both high integration efficiency and one-step generation of non-mosaic, engineered mice.

developmental biology↗

A nuclear RNA degradation code for eukaryotic transcriptome surveillance

The RNA exosome plays critical roles in eukaryotic RNA degradation, but it remains unclear how the exosome specifically recognizes its targets. The PAXT connection is an adaptor that recruits the exosome to polyadenylated RNAs in the nucleus, especially transcripts polyadenylated at intronic poly(A) sites. Here we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site and a poly(A) junction, but not by either sequence alone. These sequences are bound by U1 snRNP and cleavage/polyadenylation factors, which in turn cooperatively recruit PAXT. As the 5' splice site-poly(A) junction combination is typically not found on correctly processed full-length RNAs, we propose that it functions as a "nuclear RNA degradation code" (NRDC). Importantly, disease-associated single nucleotide polymorphisms that create novel 5' splice sites in 3' untranslated regions can induce aberrant mRNA degradation via the NRDC mechanism. Together our study identified the first NRDC, revealed its recognition mechanism, and characterized its role in human diseases.

molecular biology↗

Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data

The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for seamless extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies. Furthermore, the containers and reproducible workflows generated in the course of this project can be seamlessly deployed and extended in the future to evaluate new methods or datasets.

bioinformatics↗

Novel compound inhibits glycolysis, proteotoxicity, inflammation, and impairments in animal models of Alzheimer's, Huntington's, and stroke: Aging as a consequence of glycolysis

Inflammation drives many age-related, especially neurological, diseases, and likely mediates age-related proteotoxicity. For example, dementia due to Alzheimers Disease (AD), cerebral vascular disease, many other neurodegenerative conditions is increasingly among the most devastating burdens on the American (and world) health system and threatens to bankrupt the American health system as the population ages unless effective treatments are developed. Dementia due to either AD or cerebral vascular disease, and plausibly many other neurodegenerative and even psychiatric conditions, is driven by increased age-related inflammation, which in turn appears to mediate Abeta and related proteotoxic processes. The functional significance of inflammation during aging is also supported by the fact that Humira, which is simply an antibody to the pro-inflammatory cytokine TNF-a, is the best-selling drug in the world by revenue. These observations led us to develop parallel high-throughput screens to discover small molecules which inhibit age-related Abeta proteotoxicity in a C. elegans model of AD AND LPS-induced microglial TNF-a. In the initial screen of 2560 compounds (Microsource Spectrum library) to delay Abeta proteotoxicity, the most protective compounds were, in order, phenylbutyrate, methicillin, and quetiapine, which belong to drug classes (HDAC inhibitors, beta lactam antibiotics, and tricyclic antipsychotics, respectably) already robustly implicated as promising to protect in neurodegenerative diseases, especially AD. RNAi and chemical screens indicated that the protective effects of HDAC inhibitors to reduce Abeta proteotoxicity are mediated by inhibition of HDAC2, also implicated in human AD, dependent on the HAT Creb binding protein (Cbp), which is also required for the protective effects of both dietary restriction and the daf-2 mutation (inactivation of IGF-1 signaling) during aging. In addition to methicillin, several other beta lactam antibiotics also delayed Abeta proteotoxicity and reduced microglial TNF-a. In addition to quetiapine, several other tricyclic antipsychotic drugs also delayed age-related Abeta proteotoxicity and increased microglial TNF-a, leading to the synthesis of a novel congener, GM310, which delays Abeta as well as Huntingtin proteotoxicity, inhibits LPS-induced mouse and human microglial and monocyte TNF-a, is highly concentrated in brain after oral delivery with no apparent toxicity, increases lifespan, and produces molecular responses highly similar to those produced by dietary restriction, including induction of Cbp inhibition of inhibitors of Cbp, and genes promoting a shift away from glycolysis and toward metabolism of alternate (e.g., lipid) substrates. GM310, as well as FDA-approved tricyclic congeners, prevented functional impairments and associated increase in TNF-a in a mouse model of stroke. Robust reduction of glycolysis by GM310 was functionally corroborated by flux analysis, and the glycolytic inhibitor 2-DG inhibited microglial TNF-a and other markers of inflammation, delayed Abeta proteotoxicity, and increased lifespan. These results support the value of phenotypic screens to discover drugs to treat age-related, especially neurological and even psychiatric diseases, including AD and stroke, and to clarify novel mechanisms driving neurodegeneration (e.g., increased microglial glycolysis drives neuroinflammation and subsequent neurotoxicity) suggesting novel treatments (selective inhibitors of microglial glycolysis).

neuroscience↗

The anti-cancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3' processing machinery

JTE-607 is a small molecule compound with anti-inflammation and anti-cancer activities. Upon entering the cell, it is hydrolyzed to Compound 2, which directly binds to and inhibits CPSF73, the endonuclease for the cleavage step in pre-mRNA 3' processing. Although CPSF73 is universally required for mRNA 3' end formation, we have unexpectedly found that Compound 2- mediated inhibition of pre-mRNA 3' processing is sequence-specific and that the sequences flanking the cleavage site (CS) are a major determinant for drug sensitivity. By using massively parallel in vitro assays, we have measured the Compound 2 sensitivities of over 260,000 sequence variants and identified key sequence features that determine drug sensitivity. A machine learning model trained on these data can predict the impact of JTE-607 on poly(A) site (PAS) selection and transcription termination genome-wide. We propose a biochemical model in which CPSF73 and other mRNA 3' processing factors bind to RNA of the CS region in a sequence-specific manner and the affinity of such interaction determines the Compound 2 sensitivity of a PAS. As the Compound 2-resistant CS sequences, characterized by U/A-rich motifs, are prevalent in PASs from yeast to human, the CS region sequence may have more fundamental functions beyond determining drug resistance. Together, our study not only characterized the mechanism of action of a compound with clinical implications, but also revealed a previously unknown and evolutionarily conserved sequence-specificity of the mRNA 3' processing machinery.

molecular biology↗

Cell autonomous requirement of imprinted XCI inextra-embryonic polar trophoblast cells

In female mice the gene dosage from X chromosomes is adjusted by a process called X chromosome inactivation (XCI) that occurs in two steps. An imprinted form of XCI (iXCI) silencing the paternally inherited X chromosome (Xp) is initiated at the 2-4 cell stages. As extraembryonic cells including trophoblasts keep the Xp silenced, epiblast cells that give rise to the embryo proper reactivate the Xp and undergo a random form of XCI (rXCI) during peri-implantation stages. Lack of X dosage compensation leads to peri-implantation lethality due to inhibition of trophoblast stem cells. However, as the epiblast regulates the trophoblast lineage, the roles of iXCI vs rXCI in the early lethal phenotype remains unclear. We have investigated functions and expression of Rlim (Rnf12), an E3 ubiquitin ligase, and its target protein Rex1 (Zfp42) that control iXCI. Consistent with functions specifically for iXCI, we show an inverse correlation in the expression of Rlim and Rex1 throughout pre-implantation development, but an Rlim-independent downregulation of Rex1 in epiblast cells upon implantation. Moreover, disturbing the functional Rlim-Rex1 dynamics in females leads to cell fate confusion and premature differentiation specifically of the polar trophoblast stem cell pool. Thus, controlled by the Rlim-Rex1 axis, female mouse development requires iXCI in the polar trophoblast cell lineage.

developmental biology↗

Twenty-seven ZAD-ZNF genes of Drosophila melanogaster are orthologous to the embryo polarity determining mosquito gene cucoid

The C2H2 zinc finger gene cucoid establishes anterior-posterior (AP) polarity in the early embryo of culicine mosquitoes. This gene is unrelated to genes that establish embryo polarity in other fly species (Diptera), such as the homeobox gene bicoid, which serves this function in the traditional model organism Drosophila melanogaster. The cucoid gene is a conserved single copy gene across lower dipterans but nothing is known about its function in other species, and its evolution in higher dipterans, including Drosophila, is unresolved. We found that cucoid is a member of the ZAD-containing C2H2 zinc finger (ZAD-ZNF) gene family and is orthologous to 27 of the 91 members of this family in D. melanogaster, including M1BP, ranshi, ouib, nom, zaf1, odj, Nnk, trem, Zif, and eighteen uncharacterized genes. Available knowledge of the functions of cucoid orthologs in Drosophila melanogaster suggest that the progenitor of this lineage specific expansion may played a role in regulating chromatin. We also describe many aspects of the gene duplication history of cucoid in the brachyceran lineage of D. melanogaster, thereby providing a framework for predicting potential redundancies among these genes in D. melanogaster.

evolutionary biology↗

Implantation and Gastrulation Abnormalities Characterize Early Embryonic Lethal Mouse Lines

The period of development between the zygote and embryonic day 9.5 in mice includes multiple developmental milestones essential for embryogenesis. The preeminence of this period of development has been illustrated in loss of function studies conducted by the International Mouse Phenotyping Consortium (IMPC) which have shown that close to one third of all mouse genes are essential for survival to weaning age and a significant number of mutations cause embryo lethality before E9.5. Here we report a systematic analysis of 21 pre-E9.5 lethal lines generated by the IMPC. Analysis of pre- and post-implantation embryos revealed that the majority of the lines exhibit mutant phenotypes that fall within a window of development between implantation and gastrulation with few pre-implantation and no post-gastrulation phenotypes. Our study provides multiple genetic inroads into the molecular mechanisms that control early mammalian development and the etiology of human disease, in particular, the genetic bases of infertility and pregnancy loss. We propose a strategy for an efficient assessment of early embryonic lethal mutations that can be used to assign phenotypes to developmental milestones and outline the time of lethality.

developmental biology↗

CK2-dependent phosphorylation of the Brg1 chromatin remodeling enzyme occurs during mitosis

Brg1 (Brahma related gene 1) is one of two mutually exclusive ATPases that can act as the catalytic subunit of mammalian SWI/SNF chromatin remodeling enzymes that facilitate utilization of the DNA in eukaryotic cells. Brg1 is a phospho-protein and its activity is regulated by specific kinases and phosphatases. Previously, we showed that Brg1 interacts with and is phosphorylated by casein kinase 2 (CK2) in a manner that regulates myoblast proliferation. Here we demonstrate that the Brg1-CK2 interaction occurred during mitosis in embryonic somites and in primary myoblasts derived from satellite cells isolated from muscle tissue. The interaction of CK2 activity with Brg1 and the incorporation of a number of other subunits into the mSWI/SNF enzyme complex were independent of CK2 enzymatic activity. CK2-mediated hyperphosphorylation of Brg1 was observed in mitotic cells derived from multiple cell types and organisms, suggesting functional conservation across tissues and species. The mitotically hyperphosphorylated form of Brg1 was localized with soluble chromatin, demonstrating that CK2-mediated phosphorylation of Brg1 is associated with specific partitioning of Brg1 within sub-cellular compartments. Thus CK2 acts a mitotic kinase that regulates Brg1 phosphorylation and sub-cellular localization.\n\nHIGHLIGHTSO_LIInteractions between CK2 and the Brg1 chromatin remodeling enzyme occur during mitosis\nC_LIO_LICK2-Brg1 interactions are independent of CK2 catalytic activity\nC_LIO_LICK2-mediated phosphorylation of Brg1 is a mitotic event\nC_LIO_LICK2-mediated phosphorylation of Brg1 is conserved across mammalian cell types\nC_LIO_LIThe mitotically hyperphosphorylated form of Brg1 is localized with soluble chromatin\nC_LI

cell biology↗

System level analyses of motor-related neural activities in larval Drosophila

The way in which the central nervous system (CNS) governs animal movement is complex and difficult to solve solely by the analyses of muscle movement patterns. We tackle this problem by observing the activity of a large population of neurons in the CNS of larval Drosophila. We focused on two major behaviors of the larvae, forward and backward locomotion, and analyzed the neuronal activity related to these behaviors during fictive locomotion that spontaneously occurs in the isolated CNS. We expressed genetically-encoded calcium indicator, GCaMP, and a nuclear marker in all neurons and used digital scanned light-sheet microscopy to record neural activities in the entire ventral nerve cord at a fast frame rate. We developed image processing tools that automatically detect the cell position based on the nuclear staining and allocate the activity signals to each detected cell. We also applied a machine learning-based method that we developed recently to assign motor status in each time frame. Based on these methods, we find cells whose activity is biased to forward versus backward locomotion and vice versa. In particular, we identified a group of neurons near the boundary of subesophageal zone (SEZ) and thoracic neuromeres, which are strongly active during an early phase of backward but not forward fictive locomotion. Our experimental procedure and computational pipeline enable systematic identification of neurons to show characteristic motor activities in larval Drosophila.

neuroscience↗