Biology subjects

Park, H.

Publications and source records attributed to Park, H..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Harnessing the Evolution of Proteostasis Networks to Reverse Cognitive Dysfunction

The integrated stress response (ISR) is a highly conserved network essential for maintaining cellular homeostasis and cognitive function. Here, we investigated how persistent ISR activation impacts cognitive performance, primarily focusing on a PPP1R15BR658C genetic variant associated with intellectual disability. By generating a novel mouse model that mimics this human condition, we revealed that this variant destabilizes the PPP1R15B*PP1 phosphatase complex, resulting in chronic ISR activation, impaired protein synthesis, and deficits in long-term memory. Importantly, we found that the cognitive and synaptic deficits in Ppp1r15bR658C mice are directly due to ISR activation. Leveraging insights from evolutionary biology, we characterized DP71L, a viral orthologue of PPP1R15B, through detailed molecular and structural analyses, uncovering its mechanism of action as a potent pan-ISR inhibitor. Remarkably, we found that DP71L not only buffers cognitive decline associated with a wide array of conditions--including Down syndrome, Alzheimers disease and aging--but also enhances long-term synaptic plasticity and memory in healthy mice. These findings highlight the promise of utilizing evolutionary insight to inform innovative therapeutic strategies.

neuroscience↗

bioRxiv2025

Growth hormone is required for hippocampal engram cell maturation

Memory is thought to be stored in a sparse population of neurons or synapses 1. These neurons or synapses collectively termed the engram are necessary and sufficient for memory recall 2,3. Learning induces synaptic strengthening in engram cells at both pre- and postsynaptic sites 4,5. However, the critical time window and the molecule related to the induction of such synaptic changes are unknown. Here we show that the initial translation plays a key role in engram maturation by facilitating pre- and postsynaptic strengthening and that growth hormone (GH) is required to induce this process in the Dentate Gyrus. Using anisomycin, a protein synthesis inhibitor, we found that blocking the initial and the subsequent second wave of translation arrests the maturation of engram cells. Revisiting our hippocampal translatome during memory formation 6 proposed GH as a mediator of engram maturation. Overexpression of the dominant negative (G118R) GH blocked the maturation of the hippocampal engram cell 7. Facilitating activity-dependent GH uptake by injecting recombinant human GH (rhGH) into the animal rescued the arrestment caused by anisomycin. Together, our findings propose GH as a key mediator of hippocampal engram cell maturation.

neuroscience↗

bioRxiv2025

Protein folding stability estimation with an explicit consideration of unfolded states

Folding stability is a critical requirement for the vast majority of proteins. Computational methods suggested to date for the absolute folding stability ({Delta}G) prediction - including those driven from protein structure prediction AIs - show clear limitations on reproducing quantitative experimental values. Here we present IFUM, a deep neural network that jointly estimates {Delta}G and the equilibrium ensemble of folded and unfolded states represented by their residue-pair distance probability distributions. This joint learning considerably enhances the {Delta}G prediction accuracy against the scenario where {Delta}G prediction was learned alone. To improve the model, we extend the dataset beyond previous related works to include the Mega-scale small proteins and disordered proteins for training as well as wild-type natural proteins with sizes up to 869 residues for validation. We show that IFUM is robust to various protein types and sizes, and is capable of accurately predicting more general types of mutational effects such as sequence insertions or deletions. The applicability of IFUM is demonstrated through two real-world design challenges. First, for blind-tested protein engineering scenarios containing many sequence substitutions and insertions, good correlation with experimental melting temperatures (Tm) is observed. Second, for the de novo design selection, IFUM shows considerably improved performance over broadly used AlphaFold-based metrics. IFUM is a free software available at github.com/HParklab/IFUM and also through Google Colab.

bioinformatics↗

bioRxiv2025

Developmental Variations in Recurrent Spatiotemporal Brain Propagations from Childhood to Adulthood

The brain undergoes profound structural and functional transformations from childhood to adolescence. Convergent evidence suggests that neurodevelopment proceeds in a hierarchical manner, characterized by heterogeneous maturation patterns across brain regions and networks. However, the maturation of the intrinsic spatiotemporal propagations of brain activity remains largely unexplored. This study aims to bridge this gap by delineating spatiotemporal propagations from childhood to early adulthood. By leveraging a recently developed approach that captures time-lag dynamic propagations, we characterized intrinsic dynamic propagations along three axes: sensory-association (S-A), task-positive to default networks (TP-D), and somatomotor-visual (SM-V) networks, which progress towards adult-like brain dynamics from childhood to early adulthood. Importantly, we demonstrated that as participants mature, there is a prolonged occurrence of the S-A and TP-D propagation states, indicating that they spend more time in these states. Conversely, the prevalence of SM-V propagation states declines during development. Notably, top-down propagations along the S-A axis exhibited an age-dependent increase in occurrence, serving as a superior predictor of cognitive scores compared to bottom-up S-A propagation. These findings were replicated across two independent cohorts (N = 677 in total), emphasizing the robustness and generalizability of these findings. Our results provide new insights into the emergence of adult-like functional dynamics during youth and their role in supporting cognition.

neuroscience↗

bioRxiv2025

Deep learning molecular interaction motifs from Receptor structure alone

Interactions of proteins with other molecules are often mediated by a set of critical binding motifs on their surfaces. The majority of traditional binder design relied on motifs borrowed from known binder molecules, which highly restricted its applicability to novel targets or to new binding sites. In this work, we present a deep learning network MotifGen that predicts potential binder motifs directly from receptor structures without any further supporting information. MotifGen generates motif profiles at the receptor surface for 14 types of functional groups or 6 chemical interaction classes. These profiles are not only highly human interpretable, but also provide pre-trained embedding inputs for versatile few-shot binder design applications. We demonstrate MotifGens effectiveness through its application to peptide binder design and small-molecule binding site prediction, where it either surpassed existing methods or added significant value when integrated together. We expect our motif-centric binder design strategy can facilitate discovering novel binders for challenging receptor targets.

biochemistry↗

bioRxiv2025

A cytoskeletal scaffold promotes motile cilia assembly by regulating transition-zone integrity

Motile cilia are eukaryotic organelles with essential chemo- and mechano-sensing functions across evolution, from single cell organisms to humans. Motile cilia of the mammalian nervous, respiratory and reproductive systems are characterized by unique motility proteins to generate fluid flow essential for transporting metabolites and removing mucus. The molecular mechanism of motile cilia biogenesis remains unknown. Here, we use mouse genetics, single-molecule motility assays, proteomics, high-resolution imaging, and in situ cryo-tomography to identify mammalian KIF27, a motor protein of the Kinesin-4 family and homologue of the Hedgehog pathway regulator COS2/KIF7, as a key regulator of motile cilia assembly. We show that KIF27 promotes the integrity of the transition zone, a diffusion barrier situated at the cilium base. Loss of KIF27 causes specific and profound defects in axonemal structure and disrupts cilia beating, which collectively lead to organismal phenotypes that recapitulate primary ciliary dyskinesia. We show that the motile properties of KIF27 are dispensable for its function in motile cilia biogenesis. Instead, KIF27 acts as a microtubule scaffold to regulate the transition zone architecture and enable correct ciliary incorporation of motility-generating proteins. Given that KIF27 homologues exist in different evolutionarily lineages, we propose that the ancestral activities of KIF27/KIF7 kinesins were to form a microtubule-associated scaffold for protein-protein interactions pertinent to cilia formation and signaling. The transition-zone associated KIF27 activities may represent a general building principle for motile cilia assembly in diverse species and cell types.

developmental biology↗

bioRxiv2025

Divergent endothelial mechanisms drive arteriovenous malformations in Alk1 and Smad4 loss-of-function

BackgroundHereditary hemorrhagic telangiectasia is a genetic disorder caused by loss-of-function mutations in components of the bone morphogenetic protein signaling pathway, leading to arteriovenous malformations. Most prior work has treated BMP-component mutations as mechanistically interchangeable, yet whether distinct genes converge on a shared mechanism remains unclear. We aimed to understand the molecular relationship between BMP signaling and endothelial flow response that leads to AVM formation. MethodsWe expose human endothelial monolayers treated with siRNA against SMAD4 or ALK1 to laminar flow and analyze flow-responsive transcriptomics, flow-responsive BMP signaling activation dynamics, cell polarity and morphology. We analyze the cell-autonomous and non-cell-autonomous migration dynamics of ECs treated with siSMAD4 or siALK1. Using the postnatal mouse retina model, we study EC distribution changes over time in mosaic settings, and assess the remodelling capabilities of Smad4iECKO or Alk1iECKO, relative to littermate controls. ResultsThis study shows that mutations in SMAD4 or ALK1 lead to fundamentally distinct mechanisms of malformation formation. SMAD4 deficiency enhances endothelial responses to blood flow, including transcriptional activation and migration against flow, causing excessive capillary pruning and the development of single large shunts. In contrast, ALK1 deficiency disrupts flow sensing, impairs cell polarization and migration, and promotes a persistent angiogenic state, resulting in dense, hypervascularized networks. RNA sequencing reveals that these transcriptional changes precede flow onset, suggesting early defects in endothelial fate specification. Mosaic in vitro models show that mutant cells co-opt neighboring wild-type cells, while in vivo tracking confirms mutation-specific migration behavior. ConclusionsThese findings reveal divergent cellular programs driving arteriovenous malformations and underscore the need for gene-specific diagnostic and therapeutic strategies. Clinical PerspectiveO_ST_ABSWhat is New?C_ST_ABSO_LIThis study identifies gene-specific mechanisms of AVM formation in endothelial cells with SMAD4 or ALK1 loss-of-function, two major mutations underlying Hereditary Hemorrhagic Telangiectasia. C_LIO_LIUsing multiple side-by-side analyses, the study reveals that SMAD4 deficiency enhances flow-mediated remodeling, while ALK1 deficiency impairs flow sensing and promotes angiogenic persistence. C_LIO_LIRNA sequencing showed that several transcriptional differences precede the onset of flow, indicating early divergence in endothelial cell fate specification and mechanosensory behavior. C_LIO_LIMosaic culture and retinal models demonstrate that mutant cells exert distinct non-cell-autonomous effects on wild-type endothelial cells. C_LI What Are the Clinical Implications?O_LIThis work challenges the prevailing assumption of a unified pathogenic pathway in HHT and supports a model of mutation-specific AVM pathogenesis, with distinct cellular and molecular drivers. C_LIO_LIThe findings provide a mechanistic basis for the variable clinical presentation seen in patients with different HHT mutations. C_LIO_LIIdentification of early transcriptional signatures, such as persistent ANGPT2 or DPP4 upregulation, may offer new biomarkers or therapeutic targets for early intervention before AVMs become clinically symptomatic. C_LIO_LIPersonalized therapeutic strategies could reduce reliance on invasive treatments and shift toward mechanism-based, precision medicine approaches in HHT and related vascular disorders. C_LI

developmental biology↗

bioRxiv2024

The sodium-glucose cotransporter 2 inhibitor tofogliflozin induces vasodilation by activating Kv channels, the SERCA pump, and the sGC/cGMP pathway

OBJECTIVETofogliflozin is a sodium-glucose cotransporter 2 (SGLT2) inhibitor widely used to treat T2DM, but it also exhibits cardio-protective effects. This study investigated the vasodilatory action of tofogliflozin using rabbit femoral artery rings pre-contracted with phenylephrine. APPROACH AND RESULTSThe femoral artery quickly separated from the rabbit and fix it to the organ bath chamber. Subsequently, administer an inhibitor that modulates vascular tension in the rings or remove the endothelium to assess its impact on vasodilation. The results showed the concentration-dependent induction of vasodilation by tofogliflozin, a response that remained unchanged following endothelial removal, pretreatment with the nitric oxide synthase (NOS) inhibitor L-NAME, or the inhibition of low- and intermediate-conductance Ca2+-activated K+ channels (SKCa and IKCa) using apamin in combination with TRAM-34. Furthermore, pretreatment with the voltage-dependent K+ (Kv) channel inhibitor 4-AP reduced the vasodilatory effects of tofogliflozin whereas pretreatment with the ATP-sensitive K+ (KATP) channel inhibitor glibenclamide or the large-conductance Ca2+-activated K+ (BKCa) channel inhibitor paxilline did not. Notably, our findings indicated that Kv7.X, rather than Kv1.5 or Kv2.1, is the primary Kv subtype involved in tofogliflozin-induced vasodilation. The vasodilatory effects of tofogliflozin were also significantly inhibited in femoral arterial rings pretreated with the sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) pump inhibitors thapsigargin and cyclopiazonic acid (CPA). Tofogliflozin-induced vasodilation was unaltered in arterial rings exposed to the adenylyl cyclase inhibitor SQ 22536, the protein kinase A (PKA) inhibitor KT 5720, and the protein kinase G (PKG) inhibitor KT 582 whereas it was effectively reduced by the soluble guanylyl cyclase (sGC) inhibitor ODQ. CONCLUSIONSThese findings suggest that tofogliflozin-induced vasodilation is mediated by the activation of the SERCA pump, the sGC/cGMP pathway, and Kv channels, but not the PKA signaling pathway, other K+ channels, or endothelium-dependent mechanisms.

pharmacology and toxicology↗

bioRxiv2024

Chemical perturbations impacting histone acetylation governcolorectal cancer differentiation

Dysregulated epigenetic programs that restrict differentiation, reactivate fetal genes, and confer phenotypic plasticity are critical to colorectal cancer (CRC) development. By screening a small molecule library targeting epigenetic regulators using our dual reporter system, we found that inhibiting histone deacetylase (HDAC) 1/2 promotes CRC differentiation and anti-tumor activity. Comprehensive biochemical, chemical, and genetic experiments revealed that on-target blockade of the HDAC1/2 catalytic domain mediated the differentiated phenotype. Unbiased profiling of histone posttranslational modifications induced by HDAC1/2 inhibition nominated acetylation of specific histone lysine residues as potential regulators of differentiation. Genome-wide assessment of implicated marks indicated that H3K27ac gains at HDAC1/2-bound regions associated with open chromatin and upregulation of differentiation genes upon HDAC1/2 inhibition. Disrupting H3K27ac by degrading acetyltransferase EP300 rescued HDAC1/2 inhibitor-mediated differentiation of a patient-derived CRC model using single cell RNA-sequencing. Genetic screens revealed that DAPK3 contributes to CRC differentiation induced by HDAC1/2 inhibition. These results highlight the importance of specific chemically targetable histone modifications in governing cancer cell states and epigenetic reprogramming as a therapeutic strategy in CRC. BRIEF SUMMARYHDAC1/2 inhibition promotes colorectal cancer differentiation via gains in H3K27ac, which can be reversed by blocking its acetyltransferase EP300.

cancer biology↗

bioRxiv2024

Early prediction of preeclampsia using the first trimester vaginal microbiome

Preeclampsia is a severe obstetrical syndrome which contributes to 10-15% of all maternal deaths. Although the mechanisms underlying systemic damage in preeclampsia--such as impaired placentation, endothelial dysfunction, and immune dysregulation--are well studied, the initial triggers of the condition remain largely unknown. Furthermore, although the pathogenesis of preeclampsia begins early in pregnancy, there are no early diagnostics for this life-threatening syndrome, which is typically diagnosed much later, after systemic damage has already manifested. Here, we performed deep metagenomic sequencing and multiplex immunoassays of vaginal samples collected during the first trimester from 124 pregnant individuals, including 62 who developed preeclampsia with severe features. We identified multiple significant associations between vaginal immune factors, microbes, clinical factors, and the early pathogenesis of preeclampsia. These associations vary with BMI, and stratification revealed strong associations between preeclampsia and Bifidobacterium spp., Prevotella timonensis, and Sneathia vaginalis. Finally, we developed machine learning models that predict the development of preeclampsia using this first trimester data, collected ~5.7 months prior to clinical diagnosis, with an auROC of 0.78. We validated our models using data from an independent cohort (MOMS-PI), achieving an auROC of 0.80. Our findings highlight robust associations among the vaginal microbiome, local host immunity, and early pathogenic processes of preeclampsia, paving the way for early detection, prevention and intervention for this devastating condition.

microbiology↗

bioRxiv2024

PIEZO1 overexpression in hereditary hemorrhagic telangiectasia arteriovenous malformations

BackgroundHereditary hemorrhagic telangiectasia (HHT) is an inherited vascular disorder characterized by arteriovenous malformations (AVMs). Loss-of-function mutations in Activin receptor-like kinase 1 (ALK1) cause type 2 HHT and Alk1 knockout (KO) mice develop AVMs due to overactivation of VEGFR2/PI3K/AKT signaling pathways. However, the full spectrum of signaling alterations in Alk1 mutants remains unknown and means to combat AVM formation in patients are yet to be developed. MethodsSingle-cell RNA sequencing of endothelial-specific Alk1 KO mouse retinas and controls identified a cluster of endothelial cells (ECs) that was unique to Alk1 mutants and that overexpressed fluid shear stress (FSS) signaling signatures including upregulation of the mechanosensitive ion channel PIEZO1. PIEZO1 overexpression was confirmed in human HHT lesions, and genetic and pharmacological PIEZO1 inhibition was tested in Alk1 KO mice, as well as downstream PIEZO1 signaling. ResultsPharmacological PIEZO1 inhibition, and genetic Piezo1 deletion in Alk1-deficient mice effectively mitigated AVM formation. Furthermore, we identified that elevated VEGFR2/AKT, ERK5-p62-KLF4, hypoxia and proliferation signaling were significantly reduced in Alk1-Piezo1 double ECKO mice. ConclusionsPIEZO1 overexpression and signaling is integral to HHT2, and PIEZO1 blockade reduces AVM formation and alleviates cellular and molecular hallmarks of ALK1-deficient cells. This finding provides new insights into the mechanistic underpinnings of ALK1-related vascular diseases and identifies potential therapeutic targets to prevent AVMs.

molecular biology↗

bioRxiv2024

A Prefrontal Cortex Map based on Single Neuron Activity

The intrinsic organization underlying the central cognitive role of the prefrontal cortex (PFC) is poorly understood. The work to date has been dominated by cytoarchitecture as a canvas for studies on the PFC, constraining concepts, analyses, results, and their interpretations to pre-configured delimitations that might not be relevant to function. We approached organization by profiling the activity and spatial location of >23,000 neurons recorded in awake mice. Regularly firing neurons were over-represented in most PFC subregions, yet a fine-grained activity map of the PFC did not align with cytoarchitecturally defined subregions. Instead, we observed a robust relationship between spontaneous activity patterns and intra-PFC hierarchy, suggesting internal organization principles transcending cytoarchitecture. Single neuron responses to sounds did not reflect intra-PFC hierarchy but were linked to spontaneous firing rate, indicating that responsiveness increases with excitability and is decoupled from the PFCs intrinsic operational structure. Our data-driven approach provides a scalable roadmap to explore functional organizations in diverse brain regions and species, opening avenues to link activity, structure, and function in the brain.

neuroscience↗

bioRxiv2024

Physics-inspired accuracy estimator for model-docked ligand complexes

Model docking, which refers to ligand docking into the protein model structures, is becoming a promising avenue in drug discovery with the advances in artificial intelligence (AI)-based protein structure prediction. However, a significant challenge remains; even when sampling was successful in model docking, typical docking score functions fail to identify correct solutions for two-thirds of them. This discrepancy between scoring and sampling majorly arises because these scoring functions poorly tolerate minor structural inaccuracies. In this work, we propose a deep neural network named DENOISer to address the scoring challenge in model-docking scenario. In the network, ligand poses are ranked by the consensus score of two independent sub-networks: the Native-likeness prediction and the Binding energy prediction networks. Both networks incorporate physical knowledge as inductive bias in order to enhance pose discrimination power while ensuring tolerance to small interfacial structural noises. Combined with Rosetta GALigandDock sampling, DENOISer outperformed existing docking tools on the PoseBusters model-docking benchmark set as well as on a broad cross-docking benchmark set. Further analyses reveal the physics-based components and the consensus ranking approach are the two most crucial factors contributing to its ranking success. We expect DENOISer may assist future drug discovery endeavors by providing more accurate structural models for protein-ligand complexes. The network is freely available at https://github.com/HParklab/DENOISer.

bioinformatics↗

bioRxiv2024

Unveiling the Gut Microbiome Network Fingerprint: A Deep Learning Approach to Predict Immunotherapy Response in Melanoma Patients.

Immune checkpoint inhibitors (ICI) are critical in cancer therapy, harnessing the immune system to fight tumors. The gut microbiome, a diverse ecosystem of trillions of microorganisms, has emerged as a key influencer of ICI efficacy. However, the specific gut bacteria linked to ICI response in melanoma patients remain unclear, with studies showing inconsistent findings across cohorts. Attributing the lack of consensus to multiple layers of non-linear interactions with host factors and within the microbial community, we developed DeepMicroNET, a novel deep neural network (DNN) model-driven network analysis method to identify and characterize the gut bacteria associated with treatment response. Utilizing data from five cohorts of advanced melanoma patients undergoing ICI therapies, we demonstrate how DeepMicroNET identifies gut bacteria consistently predicting immunotherapy responses (response-associated or RA bacteria). Further, DeepMicroNET revealed that these bacteria are associated with key immune pathways, such as antigen processing and presentation, offering novel insights into the molecular mechanisms that could be targeted to improve therapeutic outcomes. Altogether, by identifying gut bacteria robustly associated with immunotherapy response, DeepMicroNET opens the door to a new era of personalized medicine based on the gut microbiome profile.

microbiology↗

bioRxiv2024

Identification of the drug/metabolite transporter 1 as a marker of quinine resistance in a NF54xCam3.II P. falciparum genetic cross.

The genetic basis of Plasmodium falciparum resistance to quinine (QN), a drug used to treat severe malaria, has long been enigmatic. To gain further insight, we used FRG-NOD human liver-chimeric mice to conduct a P. falciparum genetic cross between QN-resistant (Cam3.II) and QN-sensitive (NF54) parasites, which also differ in their susceptibility to chloroquine (CQ). By applying different selective conditions to progeny pools prior to cloning, we recovered 120 unique recombinant progeny. Drug profiling and quantitative trait loci analyses of the progeny revealed predominant peaks on chromosomes 7 and 12 associated with CQ and QN resistance, that is consistent with a multifactorial mechanism of resistance for these compounds. CQ and monodesethyl-CQ (md-CQ) resistance mapped to a chromosome 7 region harboring pfcrt as expected. However, for QN, resistance mapped to a dominant chromosome 7 peak centered 295 kb downstream of pfcrt, with pfcrt showing a smaller peak. We identified the drug/metabolite transporter 1 (DMT1) as the top chromosome 7 candidate due to its structural similarity to PfCRT and proximity to the peak. Deleting DMT1 in QN-resistant Cam3.II parasites significantly sensitized the parasite to QN but not to the other drugs tested, suggesting that DMT1 mediates QN response specifically. We localized DMT1 to structures associated with vesicular trafficking, as well as the parasitophorous vacuolar membrane, lipid bodies, and the digestive vacuole. We also observed that mutant DMT1 transports more QN than the wild-type isoform in vitro. Gene editing confirmed an additional role for mutant PfCRT in mediating QN resistance. In addition, we identified an ATP-dependent zinc metalloprotease (FtsH1) as one of the top candidates in the chromosome 12 locus and confirmed its role as a potential mediator of QN resistance and a modulator of md-CQ resistance using CRISPR/Cas9 SNP-edited lines. Interestingly, this chromosome 12 region mapped to resistance to both CQ and QN and was preferentially co-inherited with pfcrt. Our study demonstrates that DMT1 is a novel marker of QN resistance and that a new chromosome 12 locus associates with CQ and QN response, with ftsh1 as a potential candidate, suggesting these genes in addition to pfcrt should be genotyped in surveillance and clinical settings.

genetics↗

bioRxiv2024

Disruption of the Social Visual Pathway in Autism Spectrum Disorder

The social visual pathway, which diverges from the dorsal pathway at the visual motion area (MT/V5) and runs from posterior down to anterior portions of the superior temporal sulcus (STS), specializes in processing dynamic social information. This study examined resting-state functional connectivity within this pathway in children with autism spectrum disorder (ASD) and typically developing (TD) children. Using data from the ABIDE (Autism Brain Imaging Data Exchange) repository, we found significant underconnectivity between the posterior and middle STS (pSTS-mSTS) in the right hemisphere in children with ASD compared to TD children. Weaker connectivity in this region of the pathway correlated with more severe social impairment symptoms in ASD and reduced social function across both ASD and TD groups. These findings suggest a specific disruption in the right hemisphere social visual pathway in ASD, potentially contributing to social deficits observed in the disorder.

neuroscience↗

bioRxiv2024

Biofabrication of engineered tissues by 3D bioprinting of tissue specific high cell-density bioinks

Bioprinting of high cell-density bioinks is a promising technique for cellular condensation-based tissue engineering and regeneration medicine. However, it remains difficult to create precisely controlled complex structures and organization of tissues with high cell-density bioink-based bioprinting for tissue specific condensation. In this study, we present newly biofabricated tissues from directly assembled, tissue specific, high cell-density bioinks which have been three-dimensionally printed into a photocrosslinkable and biodegradable hydrogel microparticle supporting bath. Three types of tissue specific high cell-density bioinks have been prepared with individual stem cells or stem cell aggregates by incorporation of growth factor-loaded gelatin microparticles. The bioprinted tissue specific high cell-density bioinks in the photocrosslinked microgel supporting bath condense together and differentiate down tissue-specific lineages to form multi-phase tissues (e.g., osteochondral tissues). By changing the growth factors and cell types, these tissue specific high cell-density bioinks enable engineering of various functional tissues with controlled architecture and organization of cells.

bioengineering↗

bioRxiv2024

Neocortical and hippocampal theta oscillations track audiovisual integration and replay of speech memories

"Are you talkin to me?!" If you ever watched the masterpiece "Taxi driver" directed by Martin Scorsese, you certainly recall the famous monologue during which Travis Bickle rehearses an imaginary confrontation in front of a mirror. While remembering this scene, you recollect a myriad of speech features across visual and auditory senses with a smooth sensation of unified memory. The aim of this study was to investigate how brain oscillations integrate the fine-grained synchrony between coinciding visual and auditory features when forming multisensory speech memories. We developed a memory task presenting participants with short synchronous or asynchronous movie clips focusing on the face of speakers engaged in real interviews. In the synchronous condition, the natural alignment between visual and auditory onsets was kept intact. In the asynchronous condition, auditory onsets were delayed to present lip movements and speech sounds in antiphase specifically with respect to the theta oscillation synchronising them in the original movie. We recorded magnetoencephalographic (MEG) activity to investigate brain oscillations in response to audiovisual asynchrony in the theta band. Our results first showed that theta oscillations in the neocortex and hippocampus were modulated by the level of synchrony between lip movements and syllables during audiovisual speech perception. Second, the accuracy of subsequent theta oscillation reinstatement during memory recollection was decreased when lip movements and the auditory envelope were encoded in asynchrony during speech perception. We demonstrate that neural theta oscillations in the neocortex and the hippocampus integrated lip movements and syllables during natural speech. We conclude that neural theta oscillations play a pivotal role in both aspects of audiovisual speech memories, i.e., encoding and retrieval.

neuroscience↗