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Retinitis pigmentosa (RP) is a common inherited retinal disease characterized by progressive degeneration of the retina, leading to night blindness, progressive vision loss, and constriction of the visual field. Previously, we established a human induced pluripotent stem cell line (CSUASOi006-A) from a RP patient carrying heterozygous PRPF8 (c.C5792T) mutation. Here, we corrected the mutation sites in PRPF8 (c.C5792T) using an adenine base editor and then generated an isogenic control (CSUASOi006-A-1), which is a valuable cell resource for research of RP.

Abstract Materials science is an interdisciplinary field that studies the properties, structures, and behaviors of different materials. A large amount of scientific literature contains rich knowledge in the field of materials science, but manually analyzing these papers to find material-related data is a daunting task. In information processing, named entity recognition (NER) plays a crucial role as it can automatically extract entities in the field of materials science, which have significant value in tasks such as building knowledge graphs. The typically used sequence labeling methods for traditional named entity recognition in material science (MatNER) tasks often fail to fully utilize the semantic information in the dataset and cannot effectively extract nested entities. Herein, we proposed to convert the sequence labeling task into a machine reading comprehension (MRC) task. MRC method effectively can solve the challenge of extracting multiple overlapping entities by transforming it into the form of answering multiple independent questions. Moreover, the MRC framework allows for a more comprehensive understanding of the contextual information and semantic relationships within materials science literature, by integrating prior knowledge from queries. State-of-the-art (SOTA) performance was achieved on the Matscholar, BC4CHEMD, NLMChem, SOFC, and SOFC-Slot datasets, with F1-scores of 89.64%, 94.30%, 85.89%, 85.95%, and 71.73%, respectively in MRC approach. By effectively utilizing semantic information and extracting nested entities, this approach holds great significance for knowledge extraction and data analysis in the field of materials science, and thus accelerating the development of material science. Scientific contribution We have developed an innovative NER method that enhances the efficiency and accuracy of automatic entity extraction in the field of materials science by transforming the sequence labeling task into a MRC task, this approach provides robust support for constructing knowledge graphs and other data analysis tasks.

Abstract Human iPSC-derived cardiomyocytes (hiPSC-CMs) have proven invaluable for cardiac disease modeling and regeneration. Challenges with quality, inter-batch consistency, cryopreservation and scale remain, reducing experimental reproducibility and clinical translation. Here, we report a robust stirred suspension cardiac differentiation protocol, and we perform extensive morphological and functional characterization of the resulting bioreactor-differentiated iPSC-CMs (bCMs). Across multiple different iPSC lines, the protocol produces 1.2E6/mL bCMs with ~94% purity. bCMs have high viability after cryo-recovery (>90%) and predominantly ventricular identity. Compared to standard monolayer-differentiated CMs, bCMs are more reproducible across batches and have more mature functional properties. The protocol also works with magnetically stirred spinner flasks, which are more economical and scalable than bioreactors. Minor protocol modifications generate cardiac organoids fully in suspension culture. These reproducible, scalable, and resource-efficient approaches to generate iPSC-CMs and organoids will expand their applications, and our benchmark data will enable comparison to cells produced by other cardiac differentiation protocols.

Background and objective: The multi-targets and multi-components of Traditional Chinese medicine (TCM) coincide with the complex pathogenesis of depression. Zhi-Zi-Hou-Pu Decoction (ZZHPD) has been approved in clinical medication with good antidepression effects for centuries, while the mechanisms under the iceberg haven't been addressed systematically. This study explored its inner active ingredients - potent pharmacological mechanism - DDI to explore more comprehensively and deeply understanding of the complicated TCM in treatment. Methods: This research utilized network pharmacology combined with molecular docking to identify pharmacological targets and molecular interactions between ZZHPD and depression. Verification of major active compounds was conducted through UPLC-Q-TOF-MS/MS and assays on LPS-induced neuroblastoma cells. Additionally, the DDIMDL model, a deep learning-based approach, was used to predict DDIs, focusing on serum concentration, metabolism, effectiveness, and adverse reactions. Results: The antidepressant mechanisms of ZZHPD involve the serotonergic synapse, neuroactive ligand-receptor interaction, and dopaminergic synapse signaling pathways. Eighteen active compounds were identified, with honokiol and eriocitrin significantly modulating neuronal inflammation and promoting differentiation of neuroimmune cells through genes like COMT, PI3KCA, PTPN11, and MAPK1. DDI predictions indicated that eriocitrin's serum concentration increases when combined with hesperidin, while hesperetin's metabolism decreases with certain flavonoids. These findings provide crucial insights into the nervous system's effectiveness and potential cardiovascular or nervous system adverse reactions from core compound combinations. Conclusions: This study provides insights into the TCM interpretation, drug compatibility or combined medication for further clinical application or potential drug pairs with a cost-effective method of integrated network pharmacology and deep learning.

Low-pressure plasma cleaning technology is currently regarded as a highly promising method for the effective in-situ removal of surface contaminants from large-aperture optical components (LAOC) (⩾430 mm) in laser fusion facilities. After a long cleaning, irreversible damage can occur to the sol-gel antireflective (AR) coatings on the surface of the LAOCs. Hence, a study was conducted to analyze the surface damage characteristics of low-pressure plasma cleaning on optical components and implement in-situ plasma cleaning techniques in the laser fusion facility. Initially, the impact of organic contaminant levels on the performance of optical components was assessed by experiments. Subsequently, the correlation between plasma cleaning duration, transmittance, wavelength peak, and laser-induced damage threshold of sol-gel antireflection coating on the LAOCs was examined. Experimental findings from plasma cleaning trials revealed that prolonged plasma exposure had a cumulative detrimental influence on coating thickness and optical performance, gradually increasing surface pores. Ultimately, investigating the surface damage mechanism of sol-gel AR coatings during low-pressure plasma cleaning establishes a groundwork for achieving non-destructive in-situ cleaning of LAOCs in laser fusion facilities.

The DNAJC19 gene, a member of DNAJ heat shock protein (Hsp40) family, is localized within the inner mitochondrial membrane (IMM) and plays a crucial role in regulating the function and localization of mitochondrial Hsp70 (MtHsp70). Mutations in the DNAJC19 gene cause Dilated Cardiomyopathy with Ataxia Syndrome (DCMA). The precise mechanisms underlying the DCMA phenotype caused by DNAJC19 mutations remain poorly understood, and effective treatment modalities were lacking unitl recently. By using CRISPR-Cas9 gene editing technology, this study generated a DNAJC19-knockout (DNAJC19-KO) human embryonic stem cell line (hESC), which will be a useful tool in studying the pathogenesis of DCMA.

The wheel hub is an important component of the wheel, and a good hub design can significantly improve vehicle handling, stability, and braking performance, ensuring safe driving. This article optimized the hub structure through morphological aspects, where reducing the hub weight contributed to enhanced fuel efficiency and overall vehicle performance. By referencing honeycombed structures, a bionic hub design is numerically simulated using finite element analysis and response surface optimization. The results showed that under the optimization of the response surface analytical model, the maximum stress of the optimized bionic hub was 109.34 MPa, compared to 119.77 MPa for the standard hub, representing an 8.7% reduction in maximum stress. The standard hub weighs 34.02 kg, while the optimized hub weight was reduced to 29.89 kg, a decrease of 12.13%. A fatigue analysis on the optimized hub indicated that at a stress of 109.34 MPa, the minimum load cycles were 4.217 × 105 at the connection point with the half-shaft, meeting the fatigue life requirements for commercial vehicle hubs outlined in the national standard GB/T 5334-2021.

In order to ensure the security of task scheduling of grid edge computing platform and the data quality required by task scheduling, a task security scheduling method of grid edge computing platform based on 5G + MEC was proposed.Combined with confidentiality service and integrity service, the security level model of task scheduling was constructed to restrict the risk in the process of scheduling and transmission of scheduling task queue, so as to realize the secure transmission of 5G core network.The priority queue type was confirmd, the minimum queue and the maximum queue was selected, the maximization of data resources and the task scheduling of MEC equipment was supported, and a distributed task scheduling model was built.Using Lyapunov candidate function to improve the stability of task scheduling, and the model was solved by alternating direction multiplier method to obtain the optimal solution of task security scheduling.The test results show that after the application of this method, the risk probability results fluctuate in the range of 0.15～0.35, and the fitting degree between the relevant data provided by MEC equipment and the scheduling task of core server is higher than 0.92, the quality score of task scheduling data is also higher than 0.94.

E26 transformation-specific variant 2 (ETV2), as a member of Ets family of transcription factors, plays an important role in embryonic vasculogenesis, angiogenesis and hematopoiesis. Here, based on H9 cell line and PiggyBac technology, we generated a doxycycline-inducible ETV2 (Dox-ETV2-H9) embryonic stem cell (ESC) line. The Dox-ETV2-H9 cells maintain normal morphology, karyotype as well as high expression of pluripotent markers. In comparison with previous studies that employing costly ETV2 modRNA to improve differentiation from ESCs into endothelial cells (ECs), the tet-on system in Dox-ETV2-H9 cells could precisely manipulate ETV2 expression, which enables ECs differentiation process more efficient and controllable upon addition of doxycycline.

Dual-specificity phosphatase 10 (DUSP10) correlates with inflammation, cytokine secretion, cell proliferation, survival, and apoptosis. However, its role in glioma is unclear. Herein, we sought to examine the expression and the underlying carcinogenic mechanisms of DUSP10 action in glioma. DUSP10 expression in glioma was significantly higher than that in normal brain tissues. High DUSP10 expression indicated adverse clinical outcomes in glioma patients. Increased DUSP10 expression correlated significantly with clinical features in glioma. Univariate Cox analysis showed that high DUSP10 expression was a potential independent marker of poor prognosis in glioma. Furthermore, DUSP10 expression in glioma correlated negatively with its DNA methylation levels. DNA methylation level of DUSP10 also correlated negatively with poor prognosis in glioma. More importantly, DUSP10 expression correlated positively with the infiltration of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells in glioma. Gene set enrichment analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis confirmed that DUSP10 participated in signaling pathways involved in focal adhesion, TNF cascade, Th17 cell differentiation, and NF-kappa B cascade. Finally, we uncovered that DUSP10 was dramatically upregulated in glioblastoma (GBM) cells and that the knockdown of DUSP10 inhibited glioma cell proliferation and migration. Our findings suggested that DUSP10 may serve as a potential prognostic biomarker in glioma.

One major challenge in stem cell therapy is to longitudinally track cell fate after cells transplantation. Molecular Imaging approaches enabling noninvasive long-term monitoring the transplanted cells are imperative for assessment of the safety and efficiency. Here, we used PiggyBac technology to insert triple reporter genes: NIS, EGFP and Firefly luciferase into a human embryonic stem cell line (hESCs, H9) and obtained a reporter hESCs line (NIS-EGFP-Fluc H9). The triple-reporters allows the transplanted NIS-EGFP-Fluc H9 cells and their derivates to be fluorescence, bioluminescence and even PET/SPECT imaged. This triple-reporter hESCs line provides a valuable imaging platform for cell-based therapeutics clinical translation.

Tafazzin (TAZ), a mitochondrial transacylase located on chromosome X, is required for the production of the mitochondrial phospholipid cardiolipin. Mutations occurring in the TAZ gene will lead to Barth syndrome, an X-linked recessive disease generally presenting as cardiomyopathy affecting males. Disease modeling strategies based on pluripotent stem cells (PSCs) provide an unprecedented and powerful platform to study Barth Syndrome. However, current studies were mostly based on male PSCs, the results and conclusions of which neglected the potential distinctions existing in disease phenotypes and mechanisms between gender. In this study, based on the H9 cell line (Female), we generated a homozygous TAZ knockout (TAZ-KO) human embryonic stem cell (hESC) line by employing CRISPR/Cas9 genome editing tools. This female TAZ-KO cell line, with normal karyotype, robust pluripotency and remarkably reduced TAZ expression, would be a useful tool for further deeply studying the pathogenesis of Barth syndrome cardiomyopathy in females.

Bone tumor patients often face the problems with cancer cell residues and bone defects after the operation. Therefore, researchers have developed many bifunctional scaffolds with both tumor treatment and bone repair functions. Therapeutic agents are usually combined with bioactive scaffolds to achieve the “bifunctional”. However, the synergistic effect of bifunctional scaffolds on tumor therapy and bone repair, as well as the interplay between therapeutic agents and scaffold materials in bifunctional scaffolds, have not been emphasized and discussed. This review proposes a promising design scheme for bifunctional scaffolds: the synergistic effect and interplay between the therapeutic agents and scaffold materials. This review summarizes the latest research progress in bifunctional scaffolds for therapeutic applications and regeneration. In particular, it summarizes the role of tumor therapeutic agents in bone regeneration and the role of scaffold materials in tumor treatment. Finally, a perspective on the future development of bifunctional scaffolds for tumor therapy and bone regeneration is discussed.

Rhodopsin-associated (RHO-associated) retinitis pigmentosa (RP) is a progressive retinal disease that currently has no cure. RHO protein misfolding leads to disturbed proteostasis and the death of rod photoreceptors, resulting in decreased vision. We previously identified nonretinoid chaperones of RHO, including YC-001 and F5257-0462, by small-molecule high-throughput screening. Here, we profile the chaperone activities of these molecules toward the cell-surface level of 27 RP-causing human RHO mutants in NIH3T3 cells. Furthermore, using retinal explant culture, we show that YC-001 improves retinal proteostasis by supporting RHO homeostasis in RhoP23H/+ mouse retinae, which results in thicker outer nuclear layers (ONL), indicating delayed photoreceptor degeneration. Interestingly, YC-001 ameliorated retinal immune responses and reduced the number of microglia/macrophages in the RhoP23H/+ retinal explants. Similarly, F5257-0462 also protects photoreceptors in RhoP23H/+ retinal explants. In vivo, intravitreal injection of YC-001 or F5257-0462 microparticles in PBS shows that F5257-0462 has a higher efficacy in preserving photoreceptor function and delaying photoreceptor death in RhoP23H/+ mice. Collectively, we provide proof of principle that nonretinoid chaperones are promising drug candidates in treating RHO-associated RP.

Although titanium implants account for a large proportion of the commercial dental market, their bioactivity are inadequate in many applications. A micro- and nano- scale hierarchical surface topography of the implant is suggested for rapid osseointegration from the biomimetic perspective. Moreover, Zinc (Zn) is an essential element in the skeletal system. Thus, a micro/nanostructured TiO2/ZnO coating, produced by micro-arc oxidation, and hydrothermal treatment, and heat treatment, was designed to endow the implant surface with enhanced osteogenic capacity. Physiochemical properties and biological effects of this coating were investigated in our study. The annealed micro/nanostructured TiO2/ZnO coating exhibited higher hydrophilicity and fibronectin adsorption ability compared to the micro-arc oxidation modified TiO2 coating. SaOS-2 cells grown on the annealed micro/nanostructured TiO2/ZnO coating showed increased alkaline phosphatase activity and collagen secretion, and immunofluorescence labeling revealed an upregulation of osteopontin, collagen type ι and osteocalcin. The micro/nanostructure and incorporation of Zn were considered to perform positive effect on the enhanced osteogenic activity of SaOS-2 cells. In conclusion, the micro/nanostructured TiO2/ZnO structure is simple, stable, and easy to produce and scale up, has promising applications in the surface modification of titanium implants.

Metal-organic frameworks (MOFs) have been widely researched as drug delivery systems due to their intrinsic porous structures. Herein, machine learning (ML) technologies were applied for the screening of MOFs with high drug loading capacity. To achieve this, first, a comprehensive dataset was gathered, including 40 data points from more than 100 different publications. The organic linkers, metal ions, and the functional groups, as well as the surface area and the pore volume of the investigated MOFs, were chosen as the model’s inputs, and the output was the ibuprofen (IBU) loading capacity. Thereafter, various advanced and powerful machine learning algorithms, such as support vector regression (SVR), random forest (RF), adaptive boosting (AdaBoost), and categorical boosting (CatBoost), were employed to predict the ibuprofen loading capacity of MOFs. The coefficient of determination (R2) of 0.70, 0.72, 0.66, and 0.76 were obtained for the SVR, RF, AdaBoost, and CatBoost approaches, respectively. Among all the algorithms, CatBoost was the most reliable, exhibiting superior performance regarding the sparse matrices and categorical features. Shapley additive explanations (SHAP) analysis was employed to explore the impact of the eigenvalues of the model’s outputs. Our initial results indicate that this methodology is a well generalized, straightforward, and cost-effective method that can be applied not only for the prediction of IBU loading capacity, but also in many other biomaterials projects.

As a member of the voltage-gated potassium ion channels, KCNQ1 plays an important role in heart physiological functions. Numerous mutations in KCNQ1 were identified as primary causes to hereditary long-QT syndrome. To further study the role of KCNQ1 in human cardiac functions, here we generated a homozygous KCNQ1 knockout human embryonic stem cell line (KCNQ1-KO) using episomal vector-based CRISPR/Cas9 system. This generated cell line presented typical stem cells colony morphology, maintained highly pluripotency and normal karyotype, also was able to differentiate into all three germ layers in vivo.

Alpha-Tropomyosin (TPM1) plays a crucial role in actin regulation and stability and contributes fundamental functions to heart development: without TPM1 expressing, mice embryos will die early in embryogenesis. To further identify the role of TPM1 in human cardiac development, here we generated a homozygous TPM1 knockout (TPM1−/−) human embryonic stem cell (hESC) line using CRISPR/Cas9-based genome editing system. The generated TPM1−/− hESC line maintained normal karyotype, highly expressed pluripotency markers and was able to differentiate into all three germ layers in vivo. This cell line provides a powerful tool to investigate the role of TPM1 in heart development in future.

One of the most fundamental and challenging questions in the field of cancer is how immunity is transformed from tumor immunosurveillance to tumor-promoting inflammation. Here, we identified the tumor suppressor PDZ-LIM domain–containing protein 2 (PDLIM2) as a checkpoint of alveolar macrophages (AMs) important for lung tumor suppression. During lung tumorigenesis, PDLIM2 expression in AMs is downregulated by ROS-activated transcription repressor BTB and CNC homology 1 (BACH1). PDLIM2 downregulation leads to constitutive activation of the transcription factor STAT3, driving AM protumorigenic polarization/activation and differentiation from monocytes attracted from the circulation to suppress cytotoxic T lymphocytes and promote lung cancer. PDLIM2 downregulation also decreases AM phagocytosis. These findings establish ROS/BACH1/PDLIM2/STAT3 as a signaling pathway driving AMs for lung tumor promotion.

Mutations that lead to misfolding of rhodopsin can cause retinitis pigmentosa. Here, the authors carry out a high throughput screen to identify a small molecule chaperone of rod opsin, and show that it protects mouse models of retinitis pigmentosa from retinal degeneration.

There have been many applications in biomedical fields based on hydroxyapatite nanoparticles (HA NPs) over the past decades. However, the biocompatibility of HANPs is affected by exposure dose, particle size, and the way of contact with cells. The objective of this study is to investigate the effect of HA NPs with different sizes on osteogenesis using human mesenchymal stem cells (hMSCs). Three different-sized HA NPs (~50, ~100, and ~150 nm, resp.) were synthesized to study the cytotoxicity, cellular uptake, and effect on osteogenic differentiation of hMSCs. The results clearly showed that each size of HA NPs had dose-dependent cytotoxicity on hMSCs. It was found that HA NPs could be uptaken into hMSCs. The osteogenic differentiation of hMSCs was evaluated through alkaline phosphatase (ALP) activity measurement, ALP staining, immunofluorescent staining for osteopontin (OPN), and real-time polymerase chain reaction (RT-PCR) examination. As expected, HA NPs of all sizes could promote the differentiation of hMSCs towards osteoblast lineage. Among the three sizes, smaller-sized HA NPs (~50 and ~100 nm) appeared to be more effective in stimulating osteogenic differentiation of hMSCs.