Biology subjects

Jin, H.

Publications and source records attributed to Jin, H..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Conserved Function of Drg GTPases in Promoting Protein Synthesis in Stalled Ribosomes

Maintaining proper protein homeostasis is essential for cell physiology. The ribosome and GTPases, which are two of the most ancient and critical cellular molecules, are central players in protein synthesis and its regulation. Here we report the discovery of a new general translation factor that targets stalled ribosomes and promotes protein synthesis in an evolutionarily conserved manner. We show that the essential bacterial Obg GTPases are distant homologs of eukaryotic and archaeal Drg proteins and serve critical roles in promoting efficient protein translation in stalled ribosomes. Through in vivo characterization, including cross-species complementation of cells where ribosomes are induced to stall by addition of either the antibiotic anisomycin or exogenous mRNA harboring a long poly(A) sequence, we demonstrate that a conserved function of Drg proteins is to alleviate ribosomal stalling during translation. Our data show that bacterial Obg rescues stalled ribosomes in both Saccharomyces cerevisiae and human cells lacking endogenous Drgs, as does supplementation of the respective endogenous Drg proteins from yeast and human cells. Furthermore, the presence of ObgE and GTP stimulates peptidyl transfer, the key catalytic function of the ribosome, suggesting a possible molecular mechanism of this GTPase to enhance translation in stalled ribosomes. This discovery shows that the Drg protein is a new general translation factor that directly affords cells from the three domains of life a new form of translation regulation.

molecular biology↗

bioRxiv2024

RBM39 degrader invigorates natural killer cells to eradicate neuroblastoma despite cancer cell plasticity

The cellular plasticity of neuroblastoma is defined by a mixture of two major cell states, adrenergic (ADRN) and mesenchymal (MES), which may contribute to therapy resistance. However, how neuroblastoma cells switch cellular states during therapy remains largely unknown and how to eradicate neuroblastoma regardless of their cell states is a clinical challenge. To better understand the lineage switch of neuroblastoma in chemoresistance, we comprehensively defined the transcriptomic and epigenetic map of ADRN and MES types of neuroblastomas using human and murine models treated with indisulam, a selective RBM39 degrader. We showed that cancer cells not only undergo a bidirectional switch between ADRN and MES states, but also acquire additional cellular states, reminiscent of the developmental pliancy of neural crest cells. The lineage alterations are coupled with epigenetic reprogramming and dependency switch of lineage-specific transcription factors, epigenetic modifiers and targetable kinases. Through targeting RNA splicing, indisulam induces an inflammatory tumor microenvironment and enhances anticancer activity of natural killer cells. The combination of indisulam with anti-GD2 immunotherapy results in a durable, complete response in high-risk transgenic neuroblastoma models, providing an innovative, rational therapeutic approach to eradicate tumor cells regardless of their potential to switch cell states.

cancer biology↗

bioRxiv2024

Conditional c-MYC activation in catecholaminergic cells drives distinct neuroendocrine tumors: neuroblastoma vs somatostatinoma

The MYC proto-oncogenes (c-MYC, MYCN, MYCL) are among the most deregulated oncogenic drivers in human malignancies including high-risk neuroblastoma, 50% of which are MYCN-amplified. Genetically engineered mouse models (GEMMs) based on the MYCN transgene have greatly expanded the understanding of neuroblastoma biology and are powerful tools for testing new therapies. However, a lack of c-MYC-driven GEMMs has hampered the ability to better understand mechanisms of neuroblastoma oncogenesis and therapy development given that c-MYC is also an important driver of many high-risk neuroblastomas. In this study, we report two transgenic murine neuroendocrine models driven by conditional c-MYC induction in tyrosine hydroxylase (Th) and dopamine {beta}-hydroxylase (Dbh)-expressing cells. c-MYC induction in Th-expressing cells leads to a preponderance of Pdx1+ somatostatinomas, a type of pancreatic neuroendocrine tumor (PNET), resembling human somatostatinoma with highly expressed gene signatures of {delta} cells and potassium channels. In contrast, c-MYC induction in Dbh-expressing cells leads to onset of neuroblastomas, showing a better transforming capacity than MYCN in a comparable C57BL/6 genetic background. The c-MYC murine neuroblastoma tumors recapitulate the pathologic and genetic features of human neuroblastoma, express GD2, and respond to anti-GD2 immunotherapy. This model also responds to DFMO, an FDA-approved inhibitor targeting ODC1, which is a known MYC transcriptional target. Thus, establishing c-MYC-overexpressing GEMMs resulted in different but related tumor types depending on the targeted cell and provide useful tools for testing immunotherapies and targeted therapies for these diseases.

cancer biology↗

bioRxiv2024

CircRNA-Pro: A Novel Toolkit for High-Precision Detection of Differentially Expressed Circular RNAs and Translatable Circular RNAs

With the increasing discovery of circular RNAs (circRNAs) and their critical roles in gene regulation and disease progression, there is a growing need for more accurate and efficient tools for circRNAs research. In response, we have developed an integrated software suite specifically for circRNAs. This all-in-one tool specializes in detecting differentially expressed circRNAs, including those with the potential to be translated into proteins, and allows for comparing against relevant databases, thereby enabling comprehensive circRNA profiling and annotation. To enhance the accuracy in detecting differentially expressed circRNAs, we incorporated three different software algorithms and cross-validated their results through mutual verification. Additionally, this toolkit improves the effectiveness in identifying translatable circRNAs by optimizing Ribo-seq alignment and verifying against public circRNA databases. The performance of circRNA-pro has been evaluated through its application to public RNA-seq and Ribo-seq datasets on breast cancer and SARS-CoV-2 infected cells, and the results obtained have been validated against previous literature and databases. Overall, our integrated toolkit provides a reliable workflow for circRNA research, facilitating insights into their diverse roles across life sciences.

bioinformatics↗

bioRxiv2024

Chrom-pro: A User-Friendly Toolkit for De-novo Chromosome Assembly and Genomic Analysis

Chromosome-level genome assembly is fundamental to current genomic and post-genomic research, however, the process remains complicated and challenging due to the lack of a standardized automatic workflow. The frequently-used method for high-quality genome assembly generally employs second-generation sequencing (SGS) low error reads, third-generation sequencing (TGS) long reads and Hi-C reads. In this study, we developed a multifunctional toolkit called Chrom-pro that integrated commonly-used algorithms for de novo chromosome-level genome assembly with above three data sets into a user-friendly, automatic workflow. Besides chromosome assembly, Chrom-pro also encompasses multiple functionalities for genome quality assessment, comparative genomic analysis, and structural variant detection, which offers substantial support for downstream research. To evaluate the performance of Chrom-pro software, we tested the software with publicly available sequencing data of mango, pufferfish, and plum, and the excellence was confirmed by achieving a BUSCO completeness score of over 95% as well as high collinearity with the reference genome. Furthermore, we applied Chrom-pro to investigating the impact of different internal algorithm options on the accuracy of chromosome assembly, providing guidance for advancing relevant research in the future. Overall, the development of Chrom-pro will significantly improve the efficiency and quality of chromosome assembly and contributing to the advancement of genomic research.

bioinformatics↗

bioRxiv2024

Chlomito: a novel tool for precise elimination of organelle genome contamination in nuclear genome assemblies

Accurate genome assemblies are crucial for understanding biological evolution, mechanisms of disease, and biodiversity. However, contamination from organelle genomes in nuclear genome analyses often leads to inaccuracies and unreliability in results. To address this issue, we developed a tool named Chlomito, which employs innovative algorithms to precisely identify and eliminate organelle genome contamination sequences from nuclear genome assemblies. Compared to conventional approaches, Chlomito can not only detect and eliminate organelle sequences but also effectively distinguish true organelle sequences from those transferred into the nucleus via horizontal gene transfer. To evaluate the accuracy of Chlomito, we conducted tests using sequencing data from Plum and Mango. The results confirmed that Chlomito can accurately detect contigs originating from the organelle genome, and the identified contigs covered most regions of the organelle reference genomes, demonstrating its efficiency and precision in comprehensively recognizing organelle genome sequences. Additionally, for user convenience, we packaged this method into a Docker image, simplifying the data processing workflow. Overall, Chlomito provides a highly efficient and accurate method for identifying and removing contigs derived from organelle genomes in genomic assembly data, thereby contributing to the improvement of genome assembly quality and advancing research in genomics and evolutionary biology.

bioinformatics↗

bioRxiv2024

Diverse cell death signature based subtypes predict the prognosis and immune characteristics within glioma

BackgroundCell death plays an essential role in the pathogenesis, progression, drug resistance and recurrence of glioma. Although multiple cell death pathways are involved in glioma development, there is lack of a stratification and prognostic modelling for glioma based on the integration of diverse genes for cell deaths. MethodsIn this study, 1254 diverse cell death (DCD)-related genes were assessed using the ConsensusClusterPlus assessment to identify DCD patterns in glioma. CIBERSORT, ssGSEA, and ESTIMATE algorithms were applied to evaluate immune microenvironment differences between subtypes. LASSO Cox regression was used to screen prognosis-related DCD genes, and a risk score model was constructed. TMB, TIDE, immune infiltration, and immunotherapy response was analyzed to evaluate the immune characteristics. ResultsTwo DCD-related subgroups named Clusters 1 and 2, with distinct DCD levels, immune characteristics, and prognoses, were determined from glioma samples. A DCD-based risk score model was developed to assess DCD levels in glioma patients and divide patients into high- and low-risk groups. We found this risk model can be used as an independent prognostic factor for glioma patients. Notably, glioma patients with low risk scores exhibited subdued DCD activity, prolonged survival, and a favorable disposition towards benefiting from immune checkpoint blockade therapies. ConclusionsThis study established a novel signature classification and a risk model by comprehensively analyzing patterns of various DCDs to stratify glioma patients and to predict the prognosis and immune characteristics of glioma. We provided a theoretical basis for the clinical application of DCD-related genes in glioma prognosis and immunotherapy.

bioinformatics↗

bioRxiv2024

Molecular regulation of Bna1205ams1 required for male fertility and development of a recessive genic male-sterility system in Brassica napus

Through the comprehensive use of two pollination control systems of cytoplasmic male sterility (CMS) and genic male sterility (GMS), the rapeseed yield was increased by more than 20%. However, more hybrid production systems and detailed mechanisms underlying male sterility are required. Here, we reported a novel two-line hybrid production system of 1205A for GMS and also investigated the underlying mechanism for male sterility. Five co-segregated kompetitive allele specific PCR (KASP) markers were developed and validated, which could be used for transferring the male sterility trait into external B. napus breeding lines and developing further two-line hybrid production systems of GMS. Inheritance studies detected one gene locus of Bna1205ams1 for regulating the male sterility of 1205A. As a potential candidate gene of Bna1205ams1, BnaC03g27700D was fine mapped and narrowed down to a 181.47 kb region on chrC03 and validated by functional analysis. The mutation of BnaC03g27700D in 1205A resulted in large metabolic fluctuations, most of which were involved in aborted tapetal PCD, which could lead to reduced pollen fertility with abnormal pollen exine. The developed new GMS line of 1205AB provided us with the opportunity to identify a new male sterility gene of BnaC03g27700D in B. napus. The study of BnaC03g27700D aims to renew the annotation of the gene and provide new resources for basic research on the genetic control of male sterility.

molecular biology↗

bioRxiv2024

Discovery of Phenyl-β-D-glucuronide Medical Function for in Vivo Producing Handheld Gas Sensor Detectable Phenol-like Breath Marker: The Future of Induced Volatolomics in Cancer Risk Pre-warning

Induced volatolomics provides a promising approach for cancer risk pre-warning. Nevertheless, continues to be questioned bio-compatibility of the synthetic exogenous agents and sophisticated instrument solely detectable isotopes labeled volatile compounds restrained induced volatolomics in clinic application. Here, we report phenyl-{beta}-D-glucuronide as a potential exogenous agent of induced volatolomics. As a nature product, phenyl-{beta}-D-glucuronide demonstrates satisfactory bio-compatibility in pilot study and metabolizes into volatile phenol under the action of tumor micro-environment highly accumulated {beta}-glucuronidase. For conveniently recording breath signal, handheld breath-analyzer based on electrochemical phenol sensor is developed. After administrating healthy or tumor bearing mice with phenyl-{beta}-D-glucuronide, breath signal given by breath-analyzer is verified to be capable of not only predicting various tumor risk with specificity/sensitivity/accuracy above 94.3% in 10 min, but also speculating tumor stage.

bioengineering↗

bioRxiv2024

Conserved Pseudouridines in Helix 69 of the Ribosome are Important for Ribosome Dynamics in Translation

The widespread distribution of pseudouridine ({Psi}), an isomer of the canonical uridine base, in RNA indicates its functional importance to the cell. In eukaryotes, it is estimated that around 2% of ribosomal RNA nucleotides are pseudouridines, most of which are located in functional regions of the ribosome. Defects in RNA pseudouridylation induce a range of detrimental effects from compromised cellular protein biosynthesis to disease phenotypes in humans. However, genome-wide changes to mRNA translation profiles by ribosomes lacking specific conserved pseudouridines have not been extensively studied. Here, using a new genomic method called 5P-Seq and in vitro biochemistry, we investigated changes in ribosome dynamics and cellular translation profiles upon loss of {Psi}2258 and {Psi}2260 in helix 69, the two most conserved pseudouridines in the ribosomes. We found that inhibiting the formation of these two pseudouridines challenges ribosomes to maintain the correct open reading frame and causes generally faster ribosome dynamics in translation. Furthermore, mutant ribosomes are more prone to pause while translating a subset of GC-rich codons, especially rare codons such as Arg (CGA) and Arg (CGG). Our data suggest the presence of {Psi}2258 and {Psi}2260 contributes to the dynamics of the H69 RNA stem-loop, and helps to maintain functional interactions with the tRNAs as they move within the ribosome. The optimality of this ribosome-tRNA interaction is likely to be more critical for those limited tRNAs that decode rare codons. Consistent with the changes in ribosome dynamics, our data also show that IRES-mediated translation is compromised in the mutant ribosome. These results explain the importance of {Psi}2258 and {Psi}2260 in H69 to maintain cellular fitness. The strong conservation of {Psi}2258 and {Psi}2260 in the ribosomes from bacteria to humans indicates their functional significance in modulating ribosome functions. We anticipate that the identified functions of these covalent modifications will be conserved in other species.

biochemistry↗

bioRxiv2024

Disease resistance of Brassica juncea to Sclerotinia sclerotiorum is established through the induction of indole glucosinolate biosynthesis

Sclerotinia stem rot (SSR), caused by Sclerotinia sclerotiorum, is the main disease threat to oilseeds in Brassiceae, causing significant yield losses and reduction in oil content and quality. The studies on S. sclerotiorum require a great focus and extensive research on B. juncea compared to those on B. napus and B. oleracea. Transcriptome analysis revealed a large number of defense-related genes and response processes in B. napus and B. oleracea. However, similarities and differences in the defense responses to S. sclerotiorum on B. juncea are rarely reported. In the present study, we reported a B. juncea breeding line of H83 with high S. sclerotiorum resistance, which was used for transcriptome analysis compared to L36 with low resistance. A novel regulatory network was proposed to defend against S. sclerotiorum invasion in B. juncea. Upon infection of S. sclerotiorum, a series of auxin and MAPK signaling pathways were initiated within 12 h, and then defenses were activated to restrict the development and spread of S. sclerotiorum by inducing the massive synthesis of indole glucosinolates after 24 h. Twelve hub genes involved in the network were identified by the weighted gene co-expression network (WGCNA), which are involved in plant-pathogen interaction, signaling pathway genes, indole glucosinolate biosynthesis and cell wall formation. The hub genes were further validated by qRT-PCR. The research revealed a new resistant line of H83 against S. sclerotiorum and a different regulatory network in B. juncea, which would be beneficial for the future effective breeding of Sclerotinia-resistant varieties.

plant biology↗

bioRxiv2024

Increased regional P2X7R expression detected by GSK1482160 PET in a tauopathy mouse model

Neuroinflammation plays an important role in Alzheimers disease and primary tauopathies. The aim of the current study was to map [18F]GSK1482160 for imaging of purinergic P2X7R in Alzheimers disease and primary tauopathy mouse models. MicroPET was performed using [18F]GSK1482160 in widely used mouse models of Alzheimers disease (APP/PS1, 5xFAD and 3xTg), 4-repeat tauopathy (rTg4510) mice and age-matched wild-type mice. Increased uptake of [18F]GSK1482160 was observed in the cortex and basal forebrain of 7-month-old rTg4510 mice compared to age-matched wild-type mice and compared to 3-month-old rTg4510 mice. Nonparametric Spearmans rank analysis revealed a positive correlation between tau [18F]APN-1607 uptake and [18F]GSK1482160 in the hippocampus of rTg4510 mice. No significant differences in the uptake of [18F]GSK1482160 were observed between wild-type mice and APP/PS1 mice (5, 10 months), 5xFAD mice (3, 7 months) or 3xTg mice (10 months). Immunofluorescence staining further indicated the distribution of P2X7Rs in the brains of 7-month-old rTg4510 mice with accumulation of tau inclusion compared to wild-type mice. These findings provide in vivo imaging evidence for increased P2X7R in the brains of tauopathy model mice.

neuroscience↗

bioRxiv2024

Epitranscriptomic Reader YTHDF2 Regulates SEK1(MAP2K4)-JNK-cJUN Inflammatory Signaling in Astrocytes during Neurotoxic Stress

As the most abundant glial cells in the CNS, astrocytes dynamically respond to neurotoxic stress, however, the key molecular regulators controlling the inflammatory status of these sentinels during neurotoxic stress have remained elusive. Herein, we demonstrate that the m6A epitranscriptomic mRNA modification tightly regulates the pro-inflammatory functions of astrocytes. Specifically, the astrocytic neurotoxic stresser, manganese (Mn), downregulated the m6A reader YTHDF2 in human and mouse astrocyte cultures and in the mouse brain. Functionally, YTHDF2 knockdown augmented, while its overexpression dampened, neurotoxic stress induced proinflammatory response, suggesting YTHDF2 serves as a key upstream regulator of inflammatory responses in astrocytes. Mechnistically, YTHDF2 RIP-sequencing identified MAP2K4 (MKK4; SEK1) mRNA as a YTHDF2 target influencing inflammatory signaling. Our target validation revealed Mn-exposed astrocytes mediates proinflammatory response by activating the phosphorylation of SEK1, JNK, and cJUN signaling. Collectively, YTHDF2 serves a key upstream molecular switch controlling SEK1(MAP2K4)-JNK-cJUN proinflammatory signaling in astrocytes.

neuroscience↗

bioRxiv2024

A spatial cell atlas of neuroblastoma reveals developmental, epigenetic and spatial axis of tumor heterogeneity

Neuroblastoma is a pediatric cancer arising from the developing sympathoadrenal lineage with complex inter- and intra-tumoral heterogeneity. To chart this complexity, we generated a comprehensive cell atlas of 55 neuroblastoma patient tumors, collected from two pediatric cancer institutions, spanning a range of clinical, genetic, and histologic features. Our atlas combines single-cell/nucleus RNA-seq (sc/scRNA-seq), bulk RNA-seq, whole exome sequencing, DNA methylation profiling, spatial transcriptomics, and two spatial proteomic methods. Sc/snRNA-seq revealed three malignant cell states with features of sympathoadrenal lineage development. All of the neuroblastomas had malignant cells that resembled sympathoblasts and the more differentiated adrenergic cells. A subset of tumors had malignant cells in a mesenchymal cell state with molecular features of Schwann cell precursors. DNA methylation profiles defined four groupings of patients, which differ in the degree of malignant cell heterogeneity and clinical outcomes. Using spatial proteomics, we found that neuroblastomas are spatially compartmentalized, with malignant tumor cells sequestered away from immune cells. Finally, we identify spatially restricted signaling patterns in immune cells from spatial transcriptomics. To facilitate the visualization and analysis of our atlas as a resource for further research in neuroblastoma, single cell, and spatial-omics, all data are shared through the Human Tumor Atlas Network Data Commons at www.humantumoratlas.org.

cancer biology↗

bioRxiv2023

Aberrant methylation and expression of TNXB promotes chondrocyte apoptosis and extracullar matrix degradation in hemophilic arthropathy via AKT signaling

Recurrent joint bleeding in hemophilia patients frequently causes hemophilic arthropathy (HA). Drastic degradation of cartilage is a major characteristic of HA, but its pathological mechanisms has not yet been clarified. In HA cartilages, we found server matrix degradation and increased expression of DNA methyltransferase proteins. We thus performed genome-wide DNA methylation analysis on human HA (N = 5) and osteoarthritis (N = 5) articular cartilages, and identified 1228 differentially methylated regions (DMRs) associated with HA. Functional enrichment analyses revealed the association between DMR genes (DMGs) and extracellular matrix (ECM) organization. Among these DMGs, Tenascin XB (TNXB) expression was down-regulated in human and mouse HA cartilages. The loss of Tnxb in F8-/- mouse cartilage provided a disease-promoting role in HA by augmenting cartilage degeneration and subchondral bone loss. Tnxb knockdown also promoted chondrocyte apoptosis and inhibited phosphorylation of AKT. Importantly, AKT agonist showed chondroprotective effects following Tnxb knockdown. Together, our findings indicate that exposure of cartilage to blood leads to alterations in DNA methylation, which is functionally related to ECM homeostasis, and further demonstrate a critical role of TNXB in HA cartilage degeneration by activating AKT signaling. These mechanistic insights allow development of potentially new strategies for HA cartilage protection.

molecular biology↗

bioRxiv2023

Imitating the 'breeder's eye': predicting grain yield from measurements of non-yield traits

Plant breeding relies on information gathered from field trials to select promising new crop varieties for release to farmers and to develop genomic prediction models that can enhance the efficiency and rate of genetic improvement in future breeding cycles. However, field trials conducted in one environment provide limited insight into how well crop varieties will perform in other environments. As the pace of climate change intensifies, the time lag of developing and deploying new crop varieties indicates that plant breeders will need to make decisions about new crop varieties without knowing the future environments those crop varieties will encounter in farmers fields. Therefore, significant improvements in cross-environment prediction of crop performance are essential for creating and maintaining resilient agricultural systems in the latter half of the twenty-first century. To address this challenge, we conducted linked yield trials of 752 public maize genotypes in two distinct environments: Lincoln, Nebraska, and East Lansing, Michigan. Our findings confirmed that genomic predictions of yield can outperform direct yield measurements used to train the genomic prediction model in predicting yield in a second environment. Additionally, we developed and trained another trait-based yield prediction model, which we refer to as the Silicon Breeders Eye (SBE). Our results demonstrate that SBE prediction has comparable predictive power to genomic prediction models. SBE prediction has the potential to be applied to a wider range of breeding programs, including those that lack the resources to genotype large populations of individuals, such as programs in the developing world, breeding programs for specialty crops, and public sector programs.

genetics↗

bioRxiv2023

Mass spectrometry imaging links interxylary cork formation with phytochemical distribution in Scutellaria baicalensis

Interxylary cork, an anomalous cork structure of plant, is occasionally seen in older roots of Scutellaria baicalensis Georgi (Lamiaceae). Xylem tissues encircled by interxylary corks gradually decay. Efforts have been made to elucidate the development of interxylary cork in S. baicalensis, but the variation of phytochemical accumulation in different root tissues segmented by interxylary cork has not been studied. In this investigation, mass spectrometry imaging was employed to visualize the in situ phytochemicals in the decayed root of S. baicalensis (Kuqin). A special flavonoid was observed to show especially high mass intensity in the cork region, and its spatial distribution was regarded as a reflection of cork development. Interxylary corks were found to be successively formed in the root of S. baicalensis. After the continuous formation of interxylary corks, root tissues were divided into different parts by interxylary corks, including the non-decayed part, slightly decayed part and severely decayed part. Interestingly, pharmaceutically important flavonoids presented different accumulation tendencies in tissues of different decaying degrees. Owing to the non-targeted analytical function of mass spectrometry imaging, the holistic difference of chemical composition of decayed and non-decayed tissues of Kuqin was deciphered. To our knowledge, this is the first experiment that maps out the successive formation of interxylary corks in S. baicalensis using mass spectrometry imaging. Also, our research successfully correlates plant anatomy with the spatial distribution of phytochemicals, which sets a good example for the exploration of plant science from the dimension of spatial information.

biochemistry↗

bioRxiv2023

Discovery of a Novel Chemotype as DYRK1A Inhibitors against Alzheimer's disease: Computational Modeling and Biological Evaluation

Dual specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) plays an essential role in tau and A{beta} pathology closely related to Alzheimers disease (AD). Accumulative evidence has demonstrated DYRK1A inhibition is able to reduce the pathological features of AD. Nevertheless, there is no approved DYRK1A inhibitors for clinical use as anti-AD drugs. This is somewhat the lack of effective and safe chemotypes of DYRK1A inhibitors. To address this issue, we carried out in silico screening, in vitro assays and in vivo efficacy evaluation with the aim to discover a new class of DYRK1A inhibitors for potential treatment of AD. By in silico screening, we selected and purchased 16 potential DYRK1A inhibitors from the Specs chemical library. Among them, compound Q17 (Specs ID: AO-476/40829177) potently inhibited DYRK1A. The hydrogen bonds between compound Q17 and each of three amino acid residues named GLU239, LEU241 and LYS188, were uncovered by molecular docking and molecular dynamics simulation. The cell-based assays showed that compound Q17 could protect SH-SY5Y cells from okadaic acid (OA)-induced injury by targeting DYRK1A. More importantly, compound Q17 significantly improved cognitive dysfunction in 3xTg-AD mice, ameliorated pathological changes, and reduced the expression of DYRK1A, GSK-3{beta} and GSK-3{beta} (pSer9), attenuated tau hyperphosphorylation and A{beta} deposition as well. In summary, our computational modeling strategy is effective to identify novel chemotypes of DYRK1A inhibitors with great potential to treat AD, and the identified compound Q17 in this study is worthy of further study. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/565431v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@75abecorg.highwire.dtl.DTLVardef@16a3611org.highwire.dtl.DTLVardef@39aeborg.highwire.dtl.DTLVardef@afc8ab_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗