Rich Interaction Research Articles

Unlocking Loyalty: The Power of Local Culture in Bali Tourism

This article examines the influence of local culture on tourist loyalty, focusing on a case study in Bali, Indonesia. Through a quantitative approach, this study uses structural equation modelling (SEM) with smart partial least squares (PLS) to analyse data from a survey involving 276 tourists. This study identifies and measures the direct impact of two independent variables, namely local ‘cultural richness’, and ‘cultural interaction’, on destination loyalty, with ‘tourist satisfaction’ as the mediating variable and ‘previous travel experience’ as the moderating variable. The results show that local cultural richness and cultural interaction have a significant influence on tourist satisfaction, which in turn affects destination loyalty. Nonetheless, previous travel experience has proven not to moderate the relationship between tourist satisfaction towards destination loyalty (? = -0.021). These findings provide valuable insights for destination managers and policymakers in developing marketing strategies that focus on local culture to increase tourist loyalty.

Recent Advances of Organic Cocrystals in Emerging Cutting‐Edge Properties and Applications

Organic cocrystals, representing one type of new functional materials, have gathered significant interest in various engineering areas. Owing to their diverse stacking modes, rich intermolecular interactions and abundant functional components, the physicochemical properties of organic cocrystals can be tailored to meet different requirements and exhibit novel characteristics. The past few years have witnessed the rapid development of organic cocrystals in both fundamental characteristics and various applications. Beyond the typical properties like ambipolarity, emission tuning ability, ferroelectricity, etc. that are previously well demonstrated, many novel impressive and cutting‐edge properties and applications of cocrystals also emerge and advance recently. Especially during the nearest five years, photothermal conversion, room‐temperature phosphorescence, thermally activated delay fluorescence, circularly polarized luminescence, organic solid‐state lasers, near‐infrared sensing, photocatalysis, batteries, and stimuli responses have been reported. In this minireview, these new properties are carefully summarized. Besides, some neoteric architecture and methodologies, such as host‐guest structures and machine learning‐based screening, are introduced. Finally, the potential future developments and expectations for organic cocrystals are discussed for further investigation on multiple functions and applications.

Recent Advances of Organic Cocrystals in Emerging Cutting‐Edge Properties and Applications

Organic cocrystals, representing one type of new functional materials, have gathered significant interest in various engineering areas. Owing to their diverse stacking modes, rich intermolecular interactions and abundant functional components, the physicochemical properties of organic cocrystals can be tailored to meet different requirements and exhibit novel characteristics. The past few years have witnessed the rapid development of organic cocrystals in both fundamental characteristics and various applications. Beyond the typical properties like ambipolarity, emission tuning ability, ferroelectricity, etc. that are previously well demonstrated, many novel impressive and cutting‐edge properties and applications of cocrystals also emerge and advance recently. Especially during the nearest five years, photothermal conversion, room‐temperature phosphorescence, thermally activated delay fluorescence, circularly polarized luminescence, organic solid‐state lasers, near‐infrared sensing, photocatalysis, batteries, and stimuli responses have been reported. In this minireview, these new properties are carefully summarized. Besides, some neoteric architecture and methodologies, such as host‐guest structures and machine learning‐based screening, are introduced. Finally, the potential future developments and expectations for organic cocrystals are discussed for further investigation on multiple functions and applications.

HiSC4D: Human-Centered Interaction and 4D Scene Capture in Large-Scale Space Using Wearable IMUs and LiDAR.

We introduce HiSC4D, a novel Human-centered interaction and 4D Scene Capture method, aimed at accurately and efficiently creating a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, rich human-human interactions, and human-environment interactions. By utilizing body-mounted IMUs and a head-mounted LiDAR, HiSC4D can capture egocentric human motions in unconstrained space without the need for external devices and pre-built maps. This affords great flexibility and accessibility for human-centered interaction and 4D scene capturing in various environments. Taking into account that IMUs can capture human spatially unrestricted poses but are prone to drifting for long-period using, and while LiDAR is stable for global localization but rough for local positions and orientations, HiSC4D employs a joint optimization method, harmonizing all sensors and utilizing environment cues, yielding promising results for long-term capture in large scenes. To promote research of egocentric human interaction in large scenes and facilitate downstream tasks, we also present a dataset, containing 8 sequences in 4 large scenes (200 to 5,000 m2 ), providing 36k frames of accurate 4D human motions with SMPL annotations and dynamic scenes, 31k frames of cropped human point clouds, and scene mesh of the environment. A variety of scenarios, such as the basketball gym and commercial street, alongside challenging human motions, such as daily greeting, one-on-one basketball playing, and tour guiding, demonstrate the effectiveness and the generalization ability of HiSC4D. The dataset and code will be publicly available for research purposes.

NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic Cameras

In this research, we introduce NeuroCamTags, a battery-free platform designed to detect a range of rich human interactions and activities in entire rooms and floors without the need for batteries. The NeuroCamTag system comprises low-cost tags that harvest ambient light energy and utilize high-frequency modulation of light-emitting diodes (LEDs) for wireless communication. These visual signals are captured by an available neuromorphic camera, which boasts temporal resolution and frame rates an order of magnitude higher than those of conventional cameras. We present an event processing pipeline that allows simultaneous localization and identification of multiple unique tags. NeuroCamTags offer a wide range of functionalities, providing battery-free wireless sensing for various physical stimuli, including changes in temperature, contact, button presses, key presses, and even sound cues. Our empirical evaluations demonstrate impressive accuracy at long ranges up to 200 feet. In addition to these findings, we consider a range of applications such as battery-free input devices, tracking of human movement, and long-range detection of human activities in various environments such as kitchens, workshops, etc. By reducing reliance on batteries, NeuroCamTags promotes eco-friendliness and opens doors to exciting possibilities in smart environment technology.

Bioactive chitosan/polydopamine nanospheres coating on carbon fiber towards strengthening epoxy composites

This paper initially examines the feasibility and effectiveness on interfacial adhesion of composites when grafting nanoparticle-structured polydopamine (PDA) and chitosan around carbon fiber periphery. The resulting interfacial shear strength was maximized as 92.3 MPa, delivering 50.1 % and 15.7–16.2 % gains over those of control fiber and only polydopamine nanospheres (PDANPs) or only chitosan modified fiber composites. Measuring surface morphology and thermal stability of fibers found that abundant PDANPs well adhered with the help of chitosan, highlighting nanoscale size effects and intrinsic adhesiveness of PDA. Under good wettability, rich and dense interfacial interactions (covalent and hydrogen bond, electrostatic interaction, and π conjugation) caused by PDANPs/chitosan coating provides impetus for effective stress transfer. Additionally, the stable “soft-rigid” combination of chitosan and PDANPs adds the efficiency of crack passivation. As such, it is hoped that this work could fully explore the possibility of PDA geometry in interphase engineering of fiber composites.

An identification method of chromatin topological associated domains based on spatial density clustering

The rapid development of high-throughput chromatin conformation capture (Hi-C) technology provides rich genomic interaction data between chromosomal loci for chromatin structure analysis. However, existing methods for identifying topologically associated domains (TADs) based on Hi-C data suffer from low accuracy and sensitivity to parameters. In this context, a TAD identification method based on spatial density clustering was designed and implemented in this paper. The method preprocessed the raw Hi-C data to obtain normalized Hi-C contact matrix data. Then, it computed the distance matrix between loci, generated a reachability graph based on the core distance and reachability distance of loci, and extracted clustering clusters. Finally, it extracted TAD boundaries based on clustering results. This method could identify TAD structures with higher coherence, and TAD boundaries were enriched with more ChIP-seq factors. Experimental results demonstrate that our method has advantages such as higher accuracy and practical significance in TAD identification.

I[formula omitted]U-Net: A dual-path U-Net with rich information interaction for medical image segmentation

Although the U-shape networks have achieved remarkable performances in many medical image segmentation tasks, they rarely model the sequential relationship of hierarchical layers. This weakness makes it difficult for the current layer to effectively utilize the historical information of the previous layer, leading to unsatisfactory segmentation results for lesions with blurred boundaries and irregular shapes. To solve this problem, we propose a novel dual-path U-Net, dubbed I2U-Net. The newly proposed network encourages historical information re-usage and re-exploration through rich information interaction among the dual paths, allowing deep layers to learn more comprehensive features that contain both low-level detail description and high-level semantic abstraction. Specifically, we introduce a multi-functional information interaction module (MFII), which can model cross-path, cross-layer, and cross-path-and-layer information interactions via a unified design, making the proposed I2U-Net behave similarly to an unfolded RNN and enjoying its advantage of modeling time sequence information. Besides, to further selectively and sensitively integrate the information extracted by the encoder of the dual paths, we propose a holistic information fusion and augmentation module (HIFA), which can efficiently bridge the encoder and the decoder. Extensive experiments on four challenging tasks, including skin lesion, polyp, brain tumor, and abdominal multi-organ segmentation, consistently show that the proposed I2U-Net has superior performance and generalization ability over other state-of-the-art methods. The code is available at https://github.com/duweidai/I2U-Net.

Co-guided Dual-channel Graph Neural Networks for the prediction of compound–protein interaction

Compound–Protein Interaction (CPI) serves as essential indicators for efficiently screening potential candidate drugs. Previous studies have typically focused on modeling CPIs either from intramolecular or intermolecular interactions, disregarding the diversity of interactions and the fine dependencies between these two types of interactions, thereby limiting the accuracy of CPI predictions. We argue that properly considering both intramolecular and intermolecular interactions allows for a more comprehensive understanding of the interactions between compounds and proteins. To this end, we propose a novel approach called Co-guided Dual-channel Graph Neural Network (CDGN) for CPI predictions. CDGN simultaneously captures various CPI information from intramolecular and intermolecular interactions using a dual-channel aggregating mechanism. Furthermore, to model the complicated relationships between the two interactions, we design a co-guided learning scheme to model the CPIs between intramolecular and intermolecular interactions, enhancing the learning of each other. Finally, we predict CPIs based on the rich interaction information from dual channels. Exhaustive experimental studies on two benchmarks verify the superiority of CDGN in CPI predictions. In particular, CDGN achieves outstanding performance with RMSE evaluation metrics of 1.263 and 1.626 on the publicly available PDBbind and CSAQ-HiQ datasets, respectively.

Constructing Metal(II)‐Sulfate Site Catalysts toward Low Overpotential Carbon Dioxide Electroreduction to Fuel Chemicals

AbstractPrecise regulation of the active site structure is an important means to enhance the activity and selectivity of catalysts in CO2 electroreduction. Here, we creatively introduce anionic groups, which can not only stabilize metal sites with strong coordination ability but also have rich interactions with protons at active sites to modify the electronic structure and proton transfer process of catalysts. This strategy helps to convert CO2 into fuel chemicals at low overpotentials. As a typical example, a composite catalyst, CuO/Cu−NSO4/CN, with highly dispersed Cu(II)−SO4 sites has been reported, in which CO2 electroreduction to formate occurs at a low overpotential with a high Faradaic efficiency (−0.5 V vs. RHE, FEformate=87.4 %). Pure HCOOH is produced with an energy conversion efficiency of 44.3 % at a cell voltage of 2.8 V. Theoretical modeling demonstrates that sulfate promotes CO2 transformation into a carboxyl intermediate followed by HCOOH generation, whose mechanism is significantly different from that of the traditional process via a formate intermediate for HCOOH production.

Constructing Metal(II)-Sulfate Site Catalysts toward Low Overpotential Carbon Dioxide Electroreduction to Fuel Chemicals.

Precise regulation of the active site structure is an important means to enhance the activity and selectivity of catalysts in CO2 electroreduction. Here, we creatively introduce anionic groups, which can not only stabilize metal sites with strong coordination ability but also have rich interactions with protons at active sites to modify the electronic structure and proton transfer process of catalysts. This strategy helps to convert CO2 into fuel chemicals at low overpotentials. As a typical example, a composite catalyst, CuO/Cu-NSO4/CN, with highly dispersed Cu(II)-SO4 sites has been reported, in which CO2 electroreduction to formate occurs at a low overpotential with a high Faradaic efficiency (-0.5 V vs. RHE, FEformate=87.4 %). Pure HCOOH is produced with an energy conversion efficiency of 44.3 % at a cell voltage of 2.8 V. Theoretical modeling demonstrates that sulfate promotes CO2 transformation into a carboxyl intermediate followed by HCOOH generation, whose mechanism is significantly different from that of the traditional process via a formate intermediate for HCOOH production.

Development and Application of a Selective Analytical Method for Indole Metabolites in Urine: Dietary Exposure Biomarkers for Broccoli Consumption.

The identification of dietary exposure biomarkers is crucial for advancing our understanding of the health benefits of specific foods. Broccoli, a vegetable with well-known anticancer properties, contains active ingredients, such as isothiocyanates with indole side chains. Hence, indole metabolites related to broccoli consumption have the potential to serve as biomarkers of dietary exposure. In this work, we developed a new analytical method for indole metabolites in urine using a poly(deep eutectic solvents)-molecularly imprinted polymer/vinyl-functionalized graphene oxide (PDESs-MIP/VGO) in miniaturized centrifugal pipet-tip solid-phase extraction (CPT-SPE) coupled with liquid chromatography. This method integrates the strengths of PDESs-MIP/VGO, including rich adsorption interactions, high adsorption capacity, and excellent selectivity, with the simplicity and cost-effectiveness of CPT-SPE. The proposed method demonstrated low limits of quantification (1.2-2.5 ng mL-1), high accuracy (91.7-104.8%), and good precision (relative standard deviation ≤4.4%). By applying this method to analyze indole metabolites in urine, our results suggested that indole-3-carbinol and indole-3-acetonitrile have the potential to emerge as reliable dietary exposure biomarkers for broccoli intake. Furthermore, highly selective analytical methods based on molecular imprinting technology are advantageous for precise screening and analysis of dietary exposure biomarkers associated with food consumption.

A Proof-of-Concept of an Integrated VR and AI Application to Develop Classroom Management Competencies in Teachers in Training

We designed an interactive virtual reality (VR) application to provide a controlled and yet unpredictable environment for the development of classroom management skills. The simulated environment allows teachers in training to interact with virtual students in realistic and meaningful ways. The VR application allows rich verbal interaction by using artificial intelligence (AI). Initial findings suggest it is a successful proof of concept. In this paper, we focus on the technical implementation. Predictions on educational effectiveness and the educational challenges of pre-service teacher education are discussed. Future developments include rigorous testing and incorporating non-verbal communication based on a multi-dimensional interpersonal behavior model.

Toward a brighter constellation: multiorgan neuroimaging of neural and vascular dynamics in the spinal cord and brain.

Pain comprises a complex interaction between motor action and somatosensation that is dependent on dynamic interactions between the brain and spinal cord. This makes understanding pain particularly challenging as it involves rich interactions between many circuits (e.g., neural and vascular) and signaling cascades throughout the body. As such, experimentation on a single region may lead to an incomplete and potentially incorrect understanding of crucial underlying mechanisms. We aimed to develop and validate tools to enable detailed and extended observation of neural and vascular activity in the brain and spinal cord. The first key set of innovations was targeted to developing novel imaging hardware that addresses the many challenges of multisite imaging. The second key set of innovations was targeted to enabling bioluminescent (BL) imaging, as this approach can address limitations of fluorescent microscopy including photobleaching, phototoxicity, and decreased resolution due to scattering of excitation signals. We designed 3D-printed brain and spinal cord implants to enable effective surgical implantations and optical access with wearable miniscopes or an open window (e.g., for one- or two-photon microscopy or optogenetic stimulation). We also tested the viability for BL imaging and developed a novel modified miniscope optimized for these signals (BLmini). We describe "universal" implants for acute and chronic simultaneous brain-spinal cord imaging and optical stimulation. We further describe successful imaging of BL signals in both foci and a new miniscope, the "BLmini," which has reduced weight, cost, and form-factor relative to standard wearable miniscopes. The combination of 3D-printed implants, advanced imaging tools, and bioluminescence imaging techniques offers a coalition of methods for understanding spinal cord-brain interactions. Our work has the potential for use in future research into neuropathic pain and other sensory disorders and motor behavior.

Synthesis and applications of conjugated pillar[5]arenes

Pillar[n]arenes, as a new class of macrocyclic hosts, show bright prospect due to their rigid cavity structures, rich host-guest interactions, and easy functionalization. How to improve the host-guest recognition selectivity, signal report sensitivity and host-guest assembly properties of the pillar[n]arene-based hosts by rational functionalization is an attractive issue. Among various of functionalization approaches for pillar[5]arenes, constructing conjugated systems through the A, A′-sites of pillar[5]arenes is a very crucial method. In contrast to conventional alkoxy chain-functionalized pillar[5]arenes, conjugated pillar[5]arenes exhibit superior charge transfer and signal response capabilities, as well as a rigid structure that facilitates the construction of framework materials. Furthermore, they readily facilitate collaborative effects through functionalized groups within the cavity of the pillar[5]arenes. There are many nice works on design synthesis and applications of conjugated pillar[5]arenes in various fields. This minireview presents a systematic introduction on the synthesis of conjugated pillar[5]arenes and their applications in different fields.

Pathway analysis for functional characterization of microRNAs

DIANA-miRPath webserver enables the exploration of combined miRNA effects using predicted or experimentally supported miRNA interactions. Its latest version (DIANA-miRPath v4.0, http://www.microrna.gr/miRPathv4 ), introduces the capacity to tailor its target-based miRNA functional analysis engine towards specific biological/experimental contexts. Via a modular interface with rich interaction, annotation and parameterization options, users can perform enrichment analysis on Gene Ontology (GO) terms, KEGG and REACTOME pathways, gene sets from Molecular Signatures Database (MSigDB) and PFAM. Included miRNA interaction sets are derived from state-of-the-art resources of experimentally supported (DIANA-TarBase v8.0, miRTarBase and microCLIP cell-type-specific interactions) or from in silico miRNA-target interactions (DIANA-microT-2023 and TargetScan predictions). Bulk and single-cell expression datasets from The Cancer Genome Atlas (TCGA), the Genotype-Tissue Expression project (GTEx), as well as single-cell expression atlases can be used to assess expression change of targeted genes within terms, across a wide range of states. A discrete module to perform miRNA-tailored CRISPR knock-out screen analyses deems possible the investigation of selected miRNAs within conditions under study. Hellenic Foundation for Research and Innovation (HFRI) under the 1 st Call for HFRI Research Projects to Support Faculty Members & Researchers and Procure High-Value Research Equipment grant (Project Number 2563). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Tórtola Valencia, José Zamora, and the art of queer collaboration

ABSTRACT This article assembles and analyzes an archive of texts and images that attest to the interactions of the modern dancer Carmen Tórtola Valencia and the illustrator José (Pepito) Zamora between 1914 and 1917. Their relationship emerges from the archive as a collaboration whose queerness hinges on their performances of non-normative gender, rumors concerning their homosexual inclinations, and their joint efforts to increase their celebrity and nourish their creative work. Tórtola and Zamora cultivated their queer personas and drew attention to their art by associating with one another. Their queerness and creativity were a shared endeavor that issued from and fed into a series of public performances, dances, costume designs, illustrations, and novels. Studying this collaboration requires a methodological shift in relation to previous scholarship on early twentieth-century Spain, which has tended to segregate research on male homosexuality from work on female homosexuality or lesbianism. Today there is a growing need to recognize the rich interactions between individuals who occupied different positions on spectra of sex, gender, and sexuality in modern Spain. Tórtola and Zamora have been largely overlooked in existing studies of male or female homosexuality; they are more at home in an examination of queer culture.

A Wearable Haptic Device for the Hand With Interchangeable End-Effectors.

This article presents a 4-degrees-of-freedom (4-DoF) hand wearable haptic device for Virtual Reality (VR). It is designed to support different end-effectors, that can be easily exchanged so as to provide a wide range of haptic sensations. The device is composed of a static upper body, secured to the back of the hand, and the (changeable) end-effector, placed in contact with the palm. The two parts of the device are connected by two articulated arms, actuated by four servo motors housed on the upper body and along the arms. The article summarizes the design and kinematics of the wearable haptic device and presents a position control scheme able to actuate a broad range of end-effectors. As a proof of concept, we present and evaluate three representative end-effectors during interactions in VR, rendering the sensation of interacting (E1) with rigid slanted surfaces and sharp edges having different orientations, (E2) with curved surfaces having different curvatures, and (E3) with soft surfaces having different stiffness characteristics. A few additional end-effector designs are discussed. A human-subjects evaluation in immersive VR shows the broad applicability of the device, able to render rich interactions with a diverse set of virtual objects.

Abstract 5591: ARID domain containing BAF subunits exhibit neomorphism: Have we identified the new Achilles heel in cancer

Abstract The SWI/SNF chromatin remodeler utilizes energy of ATP hydrolysis to slide or evict nucleosomes or histones, respectively, thus enabling nuclear processes by driving an ‘open’ chromatin architecture. The mammalian SWI/SNF, also termed the BrG1/Brm associated factor (BAF) complex, is the major chromatin remodeler in ontogeny and adult life. Three major BAF complexes namely canonical (cBAF), polybromo (pBAF), and non-canonical (ncBAF) have been studied. BAF components, classified as a tumor suppressors, exhibit frequent mutations in cancers. Though, studies have evaluated functional roles of BAF subunits, very few attempted to study BAF mutations identified across cancer types. In our previous studies, we identified tumor specific mutations in the gene encoding ‘A-T rich interaction domain containing 1B’ (ARID1B), within its nuclear localization signal (NLS). NLS-inactivated ARID1B exhibited cytoplasmic localization and promoted tumorigenesis by activating the ERK and Wnt/β-catenin pathways. More recently, we detected inactivating mutations in the gene encoding ARID2, a component of the pBAF complex and an ARID1B paralogue. We now present detailed characterization of tumor-specific ARID2 truncations that were presumed to be inactivating in nature. One such truncation mutation viz. p.Ser989fsArg21*, identified in our previous study, is expected to yield an ARID2 protein truncating at amino acid position 1010 (as against the full length of 1835 amino acids). Scrutiny of The Cancer Genome Atlas cBioPortal and Cancer Cell Line Encyclopedia mutation data bases revealed several ARID2 mutations expected to truncate the protein around the 1010 position. Surprisingly, ectopic expression of truncated ARID2 forms promoted oncogenic function in both ARID2 proficient and deficient backgrounds, thus validating a neomorphic gain of function for the truncated protein. Fluorescence based intracellular localization assays revealed a surprising cytoplasmic localization of truncated ARID2. Further, we mapped the ARID2 NLS by in silico analysis followed by evaluation of several deletion constructs, to be located at 1488-1518 position; thus, explaining the cytoplasmic localization of ARID2 forms truncating around 1010 position. Further, truncated ARID2 was unable to bind other pBAF components and did not sequester other pBAF components to the cytoplasm, in both ARID2 proficient and deficient cells. Tandem Affinity Purification Mass-spectrometry revealed putative interaction partners for truncated ARID2; analysis is currently underway to reveal the mechanism of tumorigenic induction exhibited by truncated ARID2. Immunohistochemistry on colorectal and breast cancer tissue microarrays revealed ARID2 cytoplasmic localization in a significant fraction of samples. We have discovered a novel YIN-YANG function of BAF components expected to yield efficient therapeutic options in cancer. Citation Format: Sanjana Sarkar, Murali Dharan Bashyam. ARID domain containing BAF subunits exhibit neomorphism: Have we identified the new Achilles heel in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5591.

Abstract 4377: AT rich interaction domain 5a promotes gastrointestinal tumorigenesis by regulating YAP and STAT3 pathways

Abstract Background: Chronic inflammation and an inflammatory cytokine, interleukin(IL)-6, play important roles in gastrointestinal tumorigenesis and metastasis. Recently, autocrine IL-6 has been reported to promote cancer development and progression in gastrointestinal cancer. However, it is still unknown how IL-6 level is regulated in gastrointestinal cancer cells. RNA-binding proteins (RBPs) are known to be one of the regulatory mechanisms of cytokine production, including IL-6, especially in immune cells. AT rich interaction domain 5a (Arid5a), one of the RBPs, has been reported to bind to IL6 3’UTR and regulates its stability and expression. Therefore, we aimed to elucidate the role of Arid5a in gastrointestinal cancer, especially gastric and colon cancer. Methods: Human gastric and colon cancer cell lines were used in this study. Arid5a knocked-down gastric and colon cancer cells were generated with lentiviral transduction of shRNAs targeting Arid5a and their phenotypes were investigated by several assays including MTT, apoptosis and sphere formation assays. Bulk RNA-seq analysis was performed using Arid5a knocked-down gastric and colon cancer cells. Results: In both human gastric and colon cancer cell lines, Arid5a knockdown suppressed cancer cell proliferation and spheroid formation, and increased apoptosis. Unexpectedly, IL6 mRNA expression was not correlated with Arid5a expression level. We found that Arid5a knockdown suppresses the activation of YAP and STAT3 by western blot analysis. We identified several new Arid5a target genes by bulk RNA-seq analysis. Conclusion: Arid5a plays an important role in the regulation of cancer cell proliferation, apoptosis and stemness in human gastric and colon cancer cells, perhaps independently of IL-6. Arid5a regulates YAP and STAT3 pathways by unknown mechanisms. We are now investigating how Arid5a regulates YAP and STAT3 pathways by focusing new Arid5a target genes. Citation Format: Koji Taniguchi, Kazuya Hamada, Shugo Tanaka, Hiroyuki Kurosu, Issei Kawakita, Kentaro Kumagai, Kentaro Nakazono, Sari Iwasaki, Satoshi Tanaka. AT rich interaction domain 5a promotes gastrointestinal tumorigenesis by regulating YAP and STAT3 pathways [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4377.