Biology subjects

Shin, K.

Publications and source records attributed to Shin, K..

18 recordsLinked to original sources

bioRxiv2026

Integrative analysis of the MDM2 promoter switch and cellular lineage plasticity in colorectal cancer: a contrast between the autonomous-proliferation type (CIN/CMS2) and the environment-adaptive type (MSI/gastric metaplasia)

Background: Biomarkers that stratify colorectal cancer (CRC) by therapeutic responsiveness and are measurable directly in biopsy specimens remain insufficiently established. We investigated whether usage of the dual MDM2 promoters (P1/P2) acts as a molecular switch separating two diametrically opposed CRC phenotypes: a chromosomal instability type and an environment adaptive type (microsatellite instability/serrated pathway with gastric metaplasia). Methods: Sixty three organoid samples from 22 patients with CRC were classified morphologically by deep learning (VGG16) and molecularly by an MDM2 Splicing Index derived from expression arrays. The P1 and P2 signatures (gene sets characterizing P1 and P2dominant samples) were externally validated in TCGA-COAD/READ (n = 624) and GSE39582 (n = 536), 1,160 cases in total, and therapeutic implications were tested in public cell line panels (GDSC2, DepMap) and in 65 lines of an independent patient derived CRC organoid biobank. Results: Deep learning morphological classification reached 98.5% test accuracy (64/65), and morphology corresponded to P1/P2 isoform usage: Type1 (compact glandular) morphology predominated in P1 dominant samples (median Type1 fraction 0.826 versus 0.444) and non Type1 (cystic mucinous) morphology in P2 dominant samples (AUC 0.79). Both signatures differed across the four consensus molecular subtypes , and the P2 signature was higher in mismatch repair deficient (microsatellite-unstable) tumors. Promoter usage quantified directly (P2_index) was higher in TP53 wild type tumors , consistent with P2 being p53-inducible. TP53 wild type cell lines were more sensitive to the MDM2 inhibitor Nutlin 3a and were more dependent on MDM2 in the DepMap CRISPR screen ; among 198 GDSC2 drugs, Nutlin 3a correlated most strongly with the P2 score. In the independent biobank, TP53 wild type lines (17) were more sensitive to nutlin-3 than mutant lines (48) (median log(IC50) 1.386 versus 4.283). Conclusions: MDM2 promoter choice (P1/P2) co-varies with the lineage identity of cancer cells and with the secretory, mucin rich character of the tumor tissue, consistent with a molecular-switch role alongside p53 suppression. The MDM2 P1/P2 ratio, measurable by RT qPCR or targeted NGS, is a candidate molecular-classification and therapeutic-stratification biomarker corresponding robustly to CMS, MSI, and TP53 mutation status.

bioinformatics↗

bioRxiv2026

Emergence of tunneling nanotube-like intervesicular connections

Tunneling nanotubes (TNTs) are actin-supported membrane bridges that mediate long-range intercellular communication and direct transfer of signaling molecules, organelles, and pathogenic cargo, yet the physicochemical mechanisms underlying their formation and organization remain poorly understood. Here we show that TNT-like intervesicular connections emerge from minimal physicochemical interactions between actin filaments and lipid membranes. Upon Mg2+ exposure, actin-encapsulating vesicles spontaneously generated actin bundle-embedded lipid nanotubes (AT-LNTs) that formed stable intervesicular networks. Mg2+ simultaneously induced actin polymerization, filament bundling, and electrostatic recruitment of F-actin to phosphatidylcholine membranes, enabling membrane tubulation without actin-binding proteins. Systematic perturbation of membrane phase, membrane tension, Mg2+ concentration, ionic strength, and actin concentration revealed that AT-LNT formation occurs only within a narrow physicochemical regime where membrane deformation and actin-membrane coupling are simultaneously permissive. The resulting AT-LNTs reproduced key structural and dynamic features of cellular TNTs, including bundled organization, helical unwinding, lumenal diffusion, and spontaneous bridging between synthetic vesicles and living cells. These findings establish a minimal biophysical framework for understanding the emergence of intercellular membrane connections in living systems and provide a foundation for engineering communication between synthetic and living cell.

synthetic biology↗

bioRxiv2026

Structure-activity of outer membrane proteins in native bacterial membrane vesicles by solid-state NMR

The outer membranes (OMs) of bacterial pathogens are potent virulence factors and serve as the first line of defense against host immunity. Their striking bilayer asymmetry is essential for function but poses an exceptional challenge for reconstitution in vitro, limiting structure-activity analysis to artificial non-native platforms that can interfere with structure and function. Here, we describe bacterial OM vesicles (OMVs), natively secreted from the cellular OM during bacterial cell growth and development, as an effective vehicle for structure-activity analysis in situ based on solid-state nuclear magnetic resonance (NMR). We show that E. coli OMVs may be engineered to express a range of isotopically labeled target OM proteins, and isolated for solid-state NMR magic angle spinning (MAS) experiments. High resolution NMR spectra are obtained for three bacterial virulence factors: the adhesion invasion locus (Ail) and plasminogen activator protease (Pla) from Yersinia pestis, and the major porin (OmpF) from E. coli. The spectra reflect the native protein structures, report on the specific OMV membrane environment, and may be used to map protein interactions with their human host ligands, specifically the multifunctional glycoprotein Vitronectin (Vn) which binds Ail as part of its serum protection activity. Notably, OMVs support protein functionality, enabling structure and activity to be correlated in situ. OMVs expressing plasmid-encoded Ail recruit human Vn and confer serum protection to wild-type E. coli cells, while OMVs expressing plasmid-encoded Pla support the proteolytic activity of Pla. Taken together, the data establish OMVs as a robust new platform for structure-activity analysis of OM proteins in situ, offer new insights about the complexity of the bacterial OM, and reveal additional functional aspects of OMVs as key ancillary units of bacterial infection.

biophysics↗

bioRxiv2025

Structural basis for lipid binding by the blood protein vitronectin, a component of HDL

Vitronectin (Vn) is a multifunctional blood glycoprotein involved in cell adhesion and migration, blood coagulation, and inflammation. It is a component of the high-density lipoprotein (HDL) proteome, and often found associated with the calcified, lipid-rich, protein deposits that are a hallmark of age-related macular degeneration, Alzheimers disease, atherosclerosis and other aging-related diseases. Here we explored the molecular basis for lipid binding by Vn using isothermal titration calorimetry (ITC), nuclear magnetic resonance (NMR) and all-atom molecular dynamics (MD) simulations. The data reveal a hydrophobic groove on the surface of the hemopexin-like (HX) domain of Vn, that is capable of binding phosphatidylcholine (PC). Conformational landscape analyses of multiple, independent MD simulations identify key structural motifs and intermolecular contacts mediating the association of Vn with PC, and show that lipid binding is guided by interactions with positively charged and hydrophobic residues that organize the lipids in a tail-to-tail bilayer-like arrangement within the groove. Collectively, the data establish a comprehensive structural model for Vn association with HDL and provide mechanistic insight into its accumulation within lipid-rich deposits characteristic of age-related pathologies.

biophysics↗

bioRxiv2025

In situ NMR reveals a pH sensor motif in an outer membrane protein that drives bacterial vesicle production

The outer membrane vesicles (OMVs) produced by diderm bacteria have important roles in cell envelope homeostasis, secretion, interbacterial communication, and pathogenesis. The facultative intracellular pathogen Salmonella enterica Typhimurium (STm) activates OMV biogenesis inside the acidic vacuoles of host cells by upregulating the expression of the outer membrane (OM) protein PagC, one of the most robustly activated genes in a host environment. Here, we used solid-state nuclear magnetic resonance (NMR) and electron microscopy (EM), with native bacterial OMVs, to demonstrate that three histidines, essential for the OMV biogenic function of PagC, constitute a key pH-sensing motif. The NMR spectra of PagC in OMVs show that they become protonated around pH 6, and His protonation is associated with specific perturbations of select regions of PagC. The use of bacterial OMVs is an essential aspect of this work enabling NMR structural studies in the context of the physiological environment. PagC expression upregulates OMV production in E. coli, replicating its function in STm. Moreover, the presence of PagC drives a striking aggregation of OMVs and increases bacterial cell pellicle formation at acidic pH, pointing to a potential role as an adhesin active in biofilm formation. The data provide experimental evidence for a pH-dependent mechanism of OMV biogenesis and aggregation driven by an outer membrane protein. SignificanceThis work sheds light on the mechanism for extracellular vesicle biogenesis by Gram negative bacteria. It shows that the Salmonella surface protein PagC, a major driver of extracellular vesicle formation, harbors a set of pH-sensitive histidines that become protonated at acidic pH, increasing vesicle production, and promoting bacterial cell aggregation. NMR analysis of PagC in natively secreted bacterial vesicles is introduced as a new important tool for in situ structural analysis of bacterial membrane proteins. The results have important implications for understanding the molecular factors that drive the formation of bacterial extracellular vesicles, their functions in human infection, as well as their roles as vaccine, drug delivery and nanotechnology platforms.

biophysics↗

bioRxiv2024

Identification of neuron-glia signaling feedback in human schizophrenia using patient-derived, mix-and-match forebrain assembloids

Although abnormal activities across multiple cell types are believed to contribute to the development of various neurodevelopmental disorders, current brain organoid technologies fall short in accurately modeling the dynamic cellular interactions in the human brain. Recently, we developed a cellular reconstitution technology to create human forebrain assembloids with enhanced cellular diversity, representing dynamic interactions between neurons and glial cells. Here, we created patient-derived, mix-and-match forebrain assembloids, in which neurons, astrocytes, and microglia from both healthy individuals and schizophrenia patients were reconstituted in a combinatorial manner, and identified aberrant cellular interactions between neurons and glial cells in human schizophrenia. At the early stage, schizophrenia forebrain assembloids showed premature neurogenesis induced by the abnormal proliferation and differentiation of neural progenitor cells. Integrated modular analysis of gene expression in post-mortem schizophrenia brain tissue and brain assembloids found increased expression of tumor protein p53 (TP53) and nuclear factor of activated T-cells 4 (NFATC4), which functioned as master transcriptional regulators to epigenetically reprogram the transcriptome involved in the cellular dynamics of neuronal progenitor cells, leading to premature neurogenesis. At the later stage, we observed weakened structures of laminar organization of the cortical layers in forebrain assembloids and identified the neuron-dependent transcriptional plasticity of glial cells and their altered signaling feedback with neurons, in which neuronal urocortin (UCN) and protein tyrosine phosphatase receptor type F (PTPRF) elicited the expression of Wnt family member 11 (WNT11) and thrombospondin 4 (THBS4) in astrocytes and microglia, respectively. These aberrant signaling axes altered the neuronal transcriptome associated with neuronal response to various stimuli and synthetic processes of biomolecules, resulting in reduced synapse connectivity. Thus, we elucidated developmental stage-specific, multifactorial mechanisms by which dynamic cellular interplay among neural progenitor cells, neurons, and glial cells contribute to the development of the human schizophrenia brain. Our study further demonstrated the potential and applicability of patient-derived forebrain assembloid technology to advance our understanding of the pathogenesis of various neurodevelopmental disorders.

neuroscience↗

bioRxiv2024

A Co-essentiality Network of Cancer Driver Genes Better Prioritizes Anticancer Drugs

Diverse molecular networks have been extensively studied to discover therapeutic targets and repurpose approved drugs. However, it is necessary to select a suitable network since the performance of network medicine relies heavily on the completeness and characteristics of the selected network. Although a network using gene essentiality from cancer cells could be an effective platform for identifying anticancer targets, efforts to apply these networks in therapeutic applications have been limited. We constructed a phenotype-level network using the co-essentiality relationship between genes in CRISPR screens across 769 cancer cells to discover therapeutic targets for diverse cancer types. Leveraging cancer driver genes and network propagation on the networks, we found that the co-essentiality network better prioritized anticancer targets and biomarkers and predicted more precise drug responses in cancer cells than other molecular networks. The co-essentiality network outperformed conventional molecular networks in drug repurposing, which were validated in silico by clinical trial records. Notably, the co-essentiality network provided 37 repurposed drugs that the other networks have yet to cover, and we showcased three approved drugs repurposed for lung adenocarcinoma (Pioglitazone hydrochloride, Atovaquone, and Eflornithine). Our study provides a novel network for precision oncology to improve the identification of therapeutic targets in specific cancers.

bioinformatics↗

bioRxiv2024

A stepwise, modular design of building uniform brain assembloids representing the dynamic cellular interplay between neurons and glial cells

Current brain organoid technology fails to provide adequate patterning cues to induce a mature structure that represent the complexity of the human brain. Here, we developed a module-based cellular reconstitution technology to sequentially build uniform forebrain assembloids with mature cortical structures and functional connectivity. The uniformity and maturity of the newly-conceived forebrain assembloids were achieved by creating single-rosette-based organoids at the early stage, whose sizes were big and consistent with the treatment of Wnt and Hedgehog agonists, followed by spatial reconstitution with the Reelin-expressing neuronal layer and non-neuronal glial cells. The resulting single-rosette-based forebrain assembloids were highly uniform and reproducible without significant batch effects, solving major heterogeneity issues caused by difficulties in controlling the number and size of rosettes in conventional multi-rosette organoids. Furthermore, these forebrain assembloids structurally and functionally recapitulated the physiology of the human brain, including the six-layered cortical structure, functional connectivity, and dynamic cellular interplay between neurons and glial cells. Our study thus provided an innovative preclinical model to study a range of neurological disorders, understanding the pathogenesis of which requires an organoid system capable of representing the dynamic cellular interactions and the maturity of the human brain.

developmental biology↗

bioRxiv2024

Solid state NMR spectral editing of histidine, arginine and lysine using Hadamard encoding

The NMR signals from protein sidechains are rich in information about intra- and inter-molecular interactions, but their detection can be complicated due to spectral overlap as well as conformational and hydrogen exchange. In this work, we demonstrate a protocol for multi-dimensional solid-state NMR spectral editing of signals from basic sidechains based on Hadamard matrix encoding. The Hadamard method acquires multi-dimensional experiments in such a way that both the backbone and under-sampled sidechain signals can be decoded for unambiguous editing in the 15N spectral frequency dimension. All multi-dimensional 15N-edited solid-state NMR experiments can be acquired using this strategy, thereby accelerating the acquisition of spectra spanning broad frequency bandwidth. Application of these methods to the ferritin nanocage, reveals signals from N atoms from His, Arg, Lys and Trp sidechains, as well as their tightly bound, ordered water molecules. The Hadamard approach adds to the arsenal of spectroscopic approaches for protein NMR signal detection.

biophysics↗

bioRxiv2024

Identification of B cell subsets based on antigen receptor sequences using deep learning

B cell receptors (BCRs) denote antigen specificity, while corresponding cell subsets indicate B cell functionality. Since each B cell uniquely encodes this combination, physical isolation and subsequent processing of individual B cells become indispensable to identify both attributes. However, this approach accompanies high costs and inevitable information loss, hindering high-throughput investigation of B cell populations. Here, we present BCR-SORT, a deep learning model that predicts cell subsets from their corresponding BCR sequences by leveraging B cell activation and maturation signatures encoded within BCR sequences. Subsequently, BCR-SORT is demonstrated to improve reconstruction of BCR phylogenetic trees, and reproduce results consistent with those verified using physical isolation-based methods or prior knowledge. Notably, when applied to BCR sequences from COVID-19 vaccine recipients, it revealed inter-individual heterogeneity of evolutionary trajectories towards Omicron-binding memory B cells. Overall, BCR-SORT offers great potential to improve our understanding of B cell responses.

bioinformatics↗

bioRxiv2024

Harnessing the regenerative potential of interleukin11 to enhance heart repair

Balancing between regenerative processes and fibrosis is crucial for heart repair, yet strategies regulating this balance remain a barrier to developing therapies. While Interleukin11 (IL11) is known as a fibrotic factor, its contribution to heart regeneration is poorly understood. We uncovered that il11a, an Il11 homolog in zebrafish, can trigger robust regenerative programs in zebrafish hearts, including cardiomyocytes proliferation and coronary expansion, even in the absence of injury. However, prolonged il11a induction in uninjured hearts causes persistent fibroblast emergence, resulting in fibrosis. While deciphering the regenerative and fibrotic effects of il11a, we found that il11-dependent fibrosis, but not regeneration, is mediated through ERK activity, suggesting to potentially uncouple il11a dual effects on regeneration and fibrosis. To harness the il11as regenerative ability, we devised a combinatorial treatment through il11a induction with ERK inhibition. This approach enhances cardiomyocyte proliferation with mitigated fibrosis, achieving a balance between regenerative processes and fibrosis. Thus, we unveil the mechanistic insights into regenerative il11 roles, offering therapeutic avenues to foster cardiac repair without exacerbating fibrosis.

developmental biology↗

bioRxiv2023

Egocentric vector coding of geometric vertex in the retrosplenial cortex

Neural representation of the environmental features in a self-centered, egocentric manner is important in constructing an egocentric cognitive map that is critical for goal-directed navigation and episodic memory formation1. To create a geometrically detailed egocentric cognitive map, neural representations of edges and vertices of environmental features are needed. While egocentric neural representations of edges, like egocentric boundary vector cells2-6 and border cells exist7, those of vertices are unknown. Here we report that single neurons in the granular retrosplenial cortex (RSC) generate spatial receptive fields exclusively near the vertices of environmental geometries during free exploration, which we termed vertex cells. Each spatial receptive field of vertex cells occurred at a specific orientation and distance relative to the animal, tuned by head direction, indicating an egocentric vector coding of the vertex. The removal of physical boundaries that define the environmental geometry abolished egocentric vector coding vertex cells. Moreover, goal-directed navigation selectively strengthened the egocentric vertex vector coding at the vertex near the goal location. Overall, our results suggest that egocentric vector coding of vertex by granular RSC neurons help to construct a geometrically detailed egocentric cognitive map that guides goal-directed navigation.

neuroscience↗

bioRxiv2023

GRIP: Graph representation of immune repertoire using graph neural network and transformer

The immune repertoire is a collection of immune receptors that has emerged as an important biomarker for both the diagnostic and therapeutic of cancer patients. In terms of deep learning, analyzing immune repertoire is a challenging multiple-instance learning problem in which the immune repertoire of an individual is a bag, and the immune receptor is an instance. Although several deep learning methods for immune repertoire analysis are introduced, they consider the immune repertoire as a set-like structure that doesnt take into account the nature of the immune response. When the immune response occurs, mutations are introduced to the immune receptor sequence sequentially to optimize the immune response against the pathogens that enter our body. As a result, immune receptors for the specific pathogen have the lineage of evolution; thus, the immune repertoire is better represented as a graph-like structure. In this work, we present our novel method, graph representation of immune repertoire (GRIP), which analyzes the immune repertoire as a hierarchical graph structure and utilize the collection of graph neural network followed by graph pooling and transformer to efficiently represents the immune repertoire as an embedding vector. We show that GRIP predicts the survival probability of cancer patients better than the set-based methods, and graph-based structure is critical for performance. Also, GRIP provides interpretable results, which prove that GRIP adequately uses the prognosis-related immune receptor and gives the further possibility to use the GRIP as the novel biomarker searching tool.

bioinformatics↗

bioRxiv2022

leptin b and its regeneration enhancer illustrate the regenerative features of zebrafish hearts

Zebrafish possess a remarkable regenerative capacity, which is mediated by the induction of various genes upon injury. Injury-dependent transcription is governed by the tissue regeneration enhancer elements (TREEs). Here, we utilized leptin b (lepb), an injury-specific factor, and its TREE to dissect heterogeneity of non-cardiomyocytes (CMs) in regenerating zebrafish hearts. Our single-cell RNA sequencing (scRNA-seq) analysis demonstrated that the endothelium/endocardium(EC) is activated to induce distinct subpopulations upon cardiac injury. We demonstrated that lepb can be utilized as a regeneration-specific marker to subset injury-activated ECs. lepb+ ECs robustly induce pro-regenerative factors, implicating lepb+ ECs as a signaling center to interact with other cardiac cells. Our scRNA-seq analysis identified that lepb is also produced by specific subpopulation of epicardium (Epi) and epicardium-derived cells (EPDCs). To determine lepb labels injury-emerging non-CM cells, we tested the activity of lepb-linked regeneration enhancer (LEN) with chromatin accessibility profiles and transgenic lines. While non-detectable in uninjured hearts, LEN directs EC and Epi/EPDC expression upon injury. The endogenous LEN activity was assessed using LEN deletion lines, demonstrating that LEN deletion abolished injury-dependent expression of lepb, but not other nearby genes. Our integrative analyses identify regeneration-emerging cell types and factors, leading to the discovery of regenerative features of hearts.

developmental biology↗

bioRxiv2022

Inhalable polymer nanoparticles for versatile mRNA delivery and mucosal vaccination

An inhalable platform for mRNA therapeutics would enable minimally invasive and lung targeted delivery for a host of pulmonary diseases. Development of lung targeted mRNA therapeutics has been limited by poor transfection efficiency and risk of vehicle-induced pathology. Here we report an inhalable polymer-based vehicle for delivery of therapeutic mRNAs to the lung. We optimized biodegradable poly(amine-co-ester) polyplexes for mRNA delivery using end group modifications and polyethylene glycol. Our polyplexes achieved high transfection of mRNA throughout the lung, particularly in epithelial and antigen-presenting cells. We applied this technology to develop a mucosal vaccine for SARS-CoV-2. Intranasal vaccination with spike protein mRNA polyplexes induced potent cellular and humoral adaptive immunity and protected K18-hACE2 mice from lethal viral challenge. One-sentence summaryInhaled polymer nanoparticles (NPs) achieve high mRNA expression in the lung and induce protective immunity against SARS-CoV-2.

bioengineering↗

bioRxiv2022

Calcium-induced environmental adaptability of the blood protein vitronectin

The adaptability of proteins to their work environments is fundamental for cellular life. Here we describe how the hemopexin-like (HX) domain of the multifunctional blood glycoprotein vitronectin (Vn) binds Ca2+ to adapt to excursions of temperature and shear stress. Using X-ray crystallography and molecular dynamics (MD) simulations, nuclear magnetic resonance (NMR) and differential scanning calorimetry (DSF), we describe how Ca2+ and its flexible hydration shell enable the protein to perform conformational changes, that relay beyond the Ca2+ binding site to alter the number of polar contacts and confer conformational stability. By means of mutagenesis, we identify key residues that cooperate with Ca2+ to promote protein stability, and we show that Ca2+ association confers protection against shear stress, a property that provides conformational advantage for proteins that circulate in the vasculature like Vn. The data reveal a mechanism of adaptation. Significance StatementThe protein vitronectin (Vn) plays important roles in cell adhesion and migration, bone remodeling and immunity. It circulates in blood, but it is also found in the extracellular matrix, and it accumulates with plaques associated with age-related macular degeneration, Alzheimers disease, atherosclerosis and other degenerative disorders. Vn is a calcium-binding protein, and here, we show that calcium helps Vn alter its structure in response to diverse environmental conditions. The results shed light on the way in which Vn adapts to its surroundings. This structural knowledge is important for the development of diagnostic, preventive or therapeutic approaches.

biophysics↗

bioRxiv2019

Potential soil transmission of a novel Candidatus Liberibacter strain detected in citrus seedlings grown in soil from a huanglongbing infested citrus grove

Candidatus Liberibacter spp. are Alphaproteobacteria associated with plants and psyllid vectors. Most cause plant diseases, including Ca Liberibacter asiaticus (Las) associated with citrus huanglongbing (HLB). Replacing HLB-infected by Las-free citrus trees results in fast re-infection despite psyllid control. To check if HLB could be soil-borne, we performed an insect-free greenhouse-experiment with 130 mandarin seedlings in two citrus-grove soils (A and B), non-autoclaved or autoclaved. Liberibacter-specific 16S-rDNA PCR primers to detect Las were used to search for Ca. Liberibacter spp. in mandarin leaves. Seven plants grown in non-autoclaved soil B showed HLB-like symptoms and tested positive after 2.5 and 8.5 months using three different primer systems: two based on the 16S-rDNA gene (primers HLBas/HLBr and OI2c/OI1) and one based on the rplA/rplJ gene (primers LAA2/LAJ5). DNA segments from these plants amplified by primers OI2c/OI1 were cloned and sequenced; they were 95.9 % similar to Las and 94.8% to Ca. Liberibacter africanus (Laf). The DNA product from Liberibacter-group specific PCR primers for the rplA/rplJ gene was 87.6% similar to that of Las and 78.2% of Laf. As the strain obtained originated from soil and was different from existing Ca. Liberibacter species, this strain may be a new species.

ecology↗

bioRxiv2018

The jellyfish genome sheds light on the early evolution of active predation

BackgroundUnique among cnidarians, jellyfish have remarkable morphological and biochemical innovations that allow them to actively hunt in the water column. One of the first animals to become free-swimming, jellyfish employ pulsed jet propulsion and venomous tentacles to capture prey.\n\nResultsTo understand these key innovations, we sequenced the genome of the giant Nomuras jellyfish (Nemopilema nomurai), the transcriptomes of its bell and tentacles, and transcriptomes across tissues and developmental stages of the Sanderia malayensis jellyfish. Analyses of Nemopilema and other cnidarian genomes revealed adaptations associated with swimming, marked by codon bias in muscle contraction and expansion of neurotransmitter genes, along with expanded Myosin type II family and venom domains; possibly contributing to jellyfish mobility and active predation. We also identified gene family expansions of Wnt and posterior Hox genes, and discovered the important role of retinoic acid signaling in this ancient lineage of metazoans, which together may be related to the unique jellyfish body plan (medusa formation).\n\nConclusionsTaken together, the jellyfish genome and transcriptomes genetically confirm their unique morphological and physiological traits that have combined to make these animals one of the worlds earliest and most successful multi-cellular predators.

genomics↗