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  • Frontiers Media SA  (40)
  • 1
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    Table1.DOCX
    Frontiers Media SA ; 2022
    In:  Frontiers in Cell and Developmental Biology Vol. 10 ( 2022-6-30)
    Details
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 10 ( 2022-6-30)
    Abstract: Assisted reproductive technology has important clinical applications and commercial values in the horse industry. However, this approach is limited largely by the low efficiency of oocyte in vitro maturation (IVM), especially cytoplasmic maturation. To improve the efficiency of mare oocyte IVM, we evaluated the effects of co-culture with cumulus–oocyte complexes (COCs) and granulosa cells (GCs) from follicles with small ( & lt;15 mm) and large diameters ( & gt;35 mm). Our results showed that oocyte nucleus maturation was not significantly improved by co-culturing with GCs. Interestingly, the cytoplasmic maturation of oocytes, defined by the distribution of cortical granules and mitochondria, as well as reactive oxygen species (ROS) levels, improved dramatically by co-culture with GCs, especially those derived from small follicles. Moreover, GCs promoted cumulus cell expansion by upregulating the expression of BMP15 in oocytes. To determine the mechanism underlying the effects of GCs, the transcriptomes of GCs from large and small follicles were compared. Expression levels of COL1A2 , COL6A1 , and COL6A2 were significantly higher in GCs from small follicles than in those from large follicles. These three genes were enriched in the extracellular matrix proteins-receptor interaction pathway and were involved in the regulation of collagens. Taken together, our results suggest that co-culture with GCs is beneficial to oocyte cytoplasmic maturation, and the increased expression of COL1A2 , COL6A1 , and COL6A2 improve the mare oocyte IVM system via the regulation of collagen.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fcell.2022.914735
    DOI: 10.3389/fcell.2022.914735.s001
    DOI: 10.3389/fcell.2022.914735.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
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  • 2
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    DataSheet1.PDF
    Frontiers Media SA ; 2021
    In:  Frontiers in Chemistry Vol. 9 ( 2021-9-2)
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    In: Frontiers in Chemistry, Frontiers Media SA, Vol. 9 ( 2021-9-2)
    Abstract: Molecular fluorophores emitting in the second near-infrared (NIR-II) window with good renal excretion ability are favorable for in vivo bio-imaging and clinical applications. So far, renally excretable fluorophores are still less studied. Understanding the influences of molecular structure on optical properties and renal excretion abilities are vital for fluorophore optimization. Herein, a series of shielding unit-donor-acceptor-donor-shielding unit (S-D-A-D-S) NIR-II molecular fluorophores are designed and synthesized with dialkoxy chains substituted benzene as the S unit. The anchoring positions of dialkoxy chains on benzene are tuned as meso-2,6, para-2,5, or ortho-3,4 to afford three fluorophores: BGM6P, BGP6P and BGO6P, respectively. Experimental and calculation results reveal that alkoxy side chains anchored closer to the conjugated backbone can provide better protection from water molecules and PEG chains, affording higher fluorescence quantum yield (QY) in aqueous solutions. Further, these side chains can enable good encapsulation of backbone, resulting in decreased binding with albumin and improved renal excretion. Thus, fluorophore BGM6P with meso-2,6-dialkoxy chains exhibits the highest quantum yield and fastest renal excretion. This work emphasizes the important roles of side chain patterns on optimizing NIR-II fluorophores with high brightness and renal excretion ability.
    Type of Medium: Online Resource
    ISSN: 2296-2646
    URL: Article
    URL: Article
    DOI: 10.3389/fchem.2021.739802
    DOI: 10.3389/fchem.2021.739802.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2711776-5
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  • 3
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    Table_1.docx
    Frontiers Media SA ; 2021
    In:  Frontiers in Oncology Vol. 11 ( 2021-10-12)
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    In: Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-10-12)
    Abstract: A core transcriptional regulatory circuit (CRC) is a group of interconnected auto-regulating transcription factors (TFs) that form loops and can be identified by super-enhancers (SEs). Studies have indicated that CRCs play an important role in defining cellular identity and determining cellular fate. Additionally, core TFs in CRCs are regulators of cell-type-specific transcriptional regulation. However, a global view of CRC properties across various cancer types has not been generated. Thus, we integrated paired cancer ATAC-seq and H3K27ac ChIP-seq data for specific cell lines to develop the Cancer CRC ( http://bio.liclab.net/Cancer_crc/index.html ). This platform documented 94,108 cancer CRCs, including 325 core TFs. The cancer CRC also provided the “SE active core TFs analysis” and “TF enrichment analysis” tools to identify potentially key TFs in cancer. In addition, we performed a comprehensive analysis of core TFs in various cancer types to reveal conserved and cancer-specific TFs.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2021.761700
    DOI: 10.3389/fonc.2021.761700.s001
    DOI: 10.3389/fonc.2021.761700.s002
    DOI: 10.3389/fonc.2021.761700.s003
    DOI: 10.3389/fonc.2021.761700.s004
    DOI: 10.3389/fonc.2021.761700.s005
    DOI: 10.3389/fonc.2021.761700.s006
    DOI: 10.3389/fonc.2021.761700.s007
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2649216-7
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  • 4
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    Plasma Apolipoproteins Predicting the Occurrence and Severity of Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus
    Frontiers Media SA ; 2022
    In:  Frontiers in Endocrinology Vol. 13 ( 2022-7-22)
    Details
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 13 ( 2022-7-22)
    Abstract: Apolipoproteins are amphipathic molecules and the major components of plasma lipoproteins. This study aims to investigate the effects of dysregulated apolipoprotein (apo) profiles and their ratios on type 2 diabetes mellitus (T2DM) and diabetic retinopathy (DR) further to test the hypothesis that altered serum level of apolipoproteins is strong biomarkers for DR. Research Design and Methods This case-control study consists of 157 patients with T2DM including DM without DR, non-proliferative DR (NPDR), and proliferative DR (PDR). Fifty-eight age- and sex-matched healthy subjects were enrolled as normal controls. Blood biochemistry profile including serum levels of glucose, glycated hemoglobin (HbA1c), lipid profile [total cholesterol (TC), Triglycerides (TG), high and low-density lipoprotein (HDL-C and LDL-C)] was estimated. Apolipoproteins (apos, A-I, A-II, B, C-II, C-III, and E) was evaluated by protein chips (Luminex technology). Apolipoprotein ratios and arteriosclerosis-associated plasma indices were calculated. The Kruskal–Wallis test, independent sample t-test or Mann–Whitney U test, and multivariate regression analysis were performed to investigate the association of serum lipid biomarkers and the DR severity. Results Serum level of apoA-I was negatively correlated with TC-(HDL-C)/HDL-C ( p & lt; 0.001), fasting glucose ( p & lt; 0.001), HbA1c ( p & lt; 0.001), and ( p & lt;0.001), while apoE, apoC-II/apoC-III, apoA-II/apoA-I were positively correlated with above traditional biomarkers ( p & lt; 0.001). Single variable logistic analysis results showed that body mass index (BMI) ( p = 0.023), DM duration ( p & lt; 0.001), apoE ( p & lt; 0.001), apoC-II/apo C-III ( p & lt; 0.001), apoE/apoC-II ( p & lt; 0.001), atherogenic index ( p = 0.013), fasting glucose ( p & lt; 0.001), HbA1c ( p & lt; 0.001), LPA ( p = 0.001), and LDL-C/HDL-C ( p = 0.031) were risk factors for the occurrence and severity of DR. Multivariate logistic regression mode showed that apoC-II/apoC-III and apoB/non–HDL-C ( p & lt; 0.001) as well as apoE/apoC-II ( p = 0.001) were the independent risk factors for the occurrence and severity of DR—apopA-I and apoA-II are protective factors for DR—after controlling for the duration of DM, HbA1c, fasting glucose, and LPA. Conclusions apoE, apoC-II/apoC-III, apoE/apoC-II, and apoB/non–HDL-C could be used as novel biomarkers for occurrence and severity of DR, whereas apoA-I and apoA-II resulted as protective factors for DR.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    URL: Article
    DOI: 10.3389/fendo.2022.915575
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2592084-4
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  • 5
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    TAM-targeted reeducation for enhanced cancer immunotherapy: Mechanism and recent progress
    Frontiers Media SA ; 2022
    In:  Frontiers in Oncology Vol. 12 ( 2022-11-7)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-11-7)
    Abstract: Tumor-associated macrophage (TAM) as an important component of tumor microenvironment (TME) are closely related with the occurrence, development, and metastasis of malignant tumors. TAMs are generally identified as two distinct functional populations in TME, i.e. , inflammatory/anti-tumorigenic (M1) and regenerative/pro-tumorigenic (M2) phenotype. Evidence suggests that occupation of the TME by M2-TAMs is closely related to the inactivation of anti-tumor immune cells such as T cells in TME. Recently, efforts have been made to reeducate TAMs from M2- to M1- phenotype to enhance cancer immunotherapy, and great progress has been made in realizing efficient modulation of TAMs using nanomedicines. To help readers better understand this emerging field, the potential TAM reeducation targets for potentiating cancer immunotherapy and the underlying mechanisms are summarized in this review. Moreover, the most recent advances in utilizing nanomedicine for the TAM immunomodulation for augmented cancer immunotherapy are introduced. Finally, we conclude with our perspectives on the future development in this field.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    DOI: 10.3389/fonc.2022.1034842
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
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  • 6
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    Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning
    Frontiers Media SA ; 2023
    In:  Frontiers in Oncology Vol. 13 ( 2023-2-28)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 13 ( 2023-2-28)
    Abstract: Deep-learning effectively predicts dose distributions in knowledge-based radiotherapy planning. Using anatomical information that includes a structure map and computed tomography (CT) data as input has been proven to work well. The minimum distance from each voxel in normal structures to planning target volume (DPTV) closely affects each voxel’s dose. In this study, we combined DPTV and anatomical information as input for a deep-learning–based dose-prediction network to improve performance. Materials and methods One hundred patients who underwent volumetric-modulated arc therapy for nasopharyngeal cancer were selected in this study. The prediction model based on a residual network had DPTV maps, structure maps, and CT as inputs and the corresponding dose distribution maps as outputs. The performances of the combined distance and anatomical information (COM) model and the traditional anatomical (ANAT) model with two-channel inputs (structure maps and CT) were compared. A 10-fold cross validation was performed to separately train and test the COM and ANAT models. The voxel-based mean error (ME), mean absolute error (MAE), dosimetric parameters, and dice similarity coefficient (DSC) of isodose volumes were used for modeling evaluation. Results The mean MAE of the body volume of the COM model were 4.89 ± 1.35%, highly significantly lower than those for the ANAT model of 5.07 ± 1.37% ( p & lt; 0.001). The ME values of the body for the 2-type models were similar ( p & gt; 0.05). The mean DSC values of the isodose volumes in the range of 60 Gy were all better in the COM model ( p & lt;0.05), and there were highly significant differences between 10 Gy and 55 Gy ( p & lt;0.001). For most organs at risk, the ME, MAE, and dosimetric parameters predicted by both models were concurrent with the ground truth values except the MAE values of the pituitary and optic chiasm in the ANAT model and the average mean dose of the right parotid in the ANAT model. Conclusions The COM model outperformed the ANAT model and could improve automated planning with statistically highly significant differences.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    DOI: 10.3389/fonc.2023.1041769
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
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  • 7
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    Table_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Oncology Vol. 12 ( 2022-8-25)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-8-25)
    Abstract: The challenge of cone-beam computed tomography (CBCT) is its low image quality, which limits its application for adaptive radiotherapy (ART). Despite recent substantial improvement in CBCT imaging using the deep learning method, the image quality still needs to be improved for effective ART application. Spurred by the advantages of transformers, which employs multi-head attention mechanisms to capture long-range contextual relations between image pixels, we proposed a novel transformer-based network (called TransCBCT) to generate synthetic CT (sCT) from CBCT. This study aimed to further improve the accuracy and efficiency of ART. Materials and methods In this study, 91 patients diagnosed with prostate cancer were enrolled. We constructed a transformer-based hierarchical encoder–decoder structure with skip connection, called TransCBCT. The network also employed several convolutional layers to capture local context. The proposed TransCBCT was trained and validated on 6,144 paired CBCT/deformed CT images from 76 patients and tested on 1,026 paired images from 15 patients. The performance of the proposed TransCBCT was compared with a widely recognized style transferring deep learning method, the cycle-consistent adversarial network (CycleGAN). We evaluated the image quality and clinical value (application in auto-segmentation and dose calculation) for ART need. Results TransCBCT had superior performance in generating sCT from CBCT. The mean absolute error of TransCBCT was 28.8 ± 16.7 HU, compared to 66.5 ± 13.2 for raw CBCT, and 34.3 ± 17.3 for CycleGAN. It can preserve the structure of raw CBCT and reduce artifacts. When applied in auto-segmentation, the Dice similarity coefficients of bladder and rectum between auto-segmentation and oncologist manual contours were 0.92 and 0.84 for TransCBCT, respectively, compared to 0.90 and 0.83 for CycleGAN. When applied in dose calculation, the gamma passing rate (1%/1 mm criterion) was 97.5% ± 1.1% for TransCBCT, compared to 96.9% ± 1.8% for CycleGAN. Conclusions The proposed TransCBCT can effectively generate sCT for CBCT. It has the potential to improve radiotherapy accuracy.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2022.988800
    DOI: 10.3389/fonc.2022.988800.s001
    DOI: 10.3389/fonc.2022.988800.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
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  • 8
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    DataSheet2.ZIP
    Frontiers Media SA ; 2022
    In:  Frontiers in Genetics Vol. 13 ( 2022-5-19)
    Details
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 13 ( 2022-5-19)
    Abstract: Hepatocellular carcinoma (HCC) is regarded as one of the universal cancers in the world. Therefore, our study is based on clinical, molecular mechanism and immunological perspectives to analyze how NAP1L1 affects the progression of HCC. To begin with, the gene expression datasets and clinical data of GSE14520, GSE76427, ICGC, and TCGA are originated from GEO, ICGC, and TCGA databases. Subsequently, DEG screening was performed on data using R studio, and we finally found that 2,145 overlapping DEGs were screened from four datasets at the end. Then, we used R studio to filter the survival-related genes of the GSE76427 and ICGC datasets, and we screened out 101 survival-related genes. Finally, 33 common genes were screened out from 2,145 overlapping DEGs and 101 survival-related genes. Then, NAP1L1 was screened from 33 common genes using the CytoHubba plug-in in Cytoscape software. Furthermore, ground on GEO, ICGC, and TCGA databases, the survival analysis, clinical feature analysis, univariate/multivariate regression analysis, and multiple GSEA were used to study NAP1L1. The Conclusion claimed that HCC patients with higher expression levels of NAP1L1 had a poorer prognosis than those with lower expression levels. Thus, we believe that NAP1L1 is an independent prognostic factor for HCC. In order to shed light on NAP1L1’s molecular mechanism promoting the progression of HCC closely, the GSEA tool was applied to complete the GSEA of the four datasets. Furthermore, the results confirmed that NAP1L1 could promote HCC progression by regulating the G2/M transition of the cell cycle and Wnt signaling pathway. Western blot and flow cytometry were also performed to understand those mechanisms in this study. The result of Western blot showed that NAP1L1 silencing led to downregulation of CDK1 and β-catenin proteins; the result of flow cytometry showed that cell numbers in the G2 phase were significantly increased when NAP1L1 was silenced. Thus, we claimed that NAP1L1 might promote HCC progression by activating the Wnt signaling pathway and promoting cell cycle G2/M transition. In addition, ground on GSE14520 and GSE76427 datasets, and ICGC and TCGA databases, the correlation between NAP1L1 and immune cells was analyzed in HCC patients. At the same time, the TISIDB online database and the TIMER online database were testified to the association between NAP1L1 and immune cells. Hence, the summary shows that NAP1L1 was connected with a certain amount of immune cells. We can speculate that NAP1L1 may influence macrophages to promote HCC progression through some potential mechanisms.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fgene.2022.876253
    DOI: 10.3389/fgene.2022.876253.s001
    DOI: 10.3389/fgene.2022.876253.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2606823-0
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  • 9
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    Video_2.MP4
    Frontiers Media SA ; 2021
    In:  Frontiers in Cell and Developmental Biology Vol. 9 ( 2021-7-26)
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    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 9 ( 2021-7-26)
    Abstract: Mesenchymal stem cells (MSCs) are promising tools for cancer therapy, but there is a risk of malignant transformation in their clinical application. Our previous work revealed that the paracrine protein S100B in the glioma microenvironment induces malignant transformation of MSCs and upregulates intracellular S100B, which could affect cell homeostasis by interfering with p53. The purpose of this study was to investigate whether extracellular S100B can be internalized by MSCs and the specific endocytic pathway involved in S100B internalization. By using real-time confocal microscopy and structured illumination microscopy (SIM), we visualized the uptake of fluorescently labeled S100B protein (S100B-Alexa488) and monitored the intracellular trafficking of internalized vesicles. The results showed that S100B-Alexa488 was efficiently internalized into MSCs in a time-dependent manner and transported through endolysosomal pathways. After that, we used chemical inhibitors and RNA interference approaches to investigate possible mechanisms involved in S100B-Alexa488 uptake. The internalization of S100B-Alexa488 was inhibited by pitstop-2 or dyngo-4a treatment or RNA-mediated silencing of clathrin or dynamin, and the lipid raft-mediated endocytosis inhibitors nystatin and MβCD. In conclusion, our findings show that clathrin and lipid rafts contribute to the internalization of S100B-Alexa488, which provides promising interventions for the safe application of MSCs in glioma therapy.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fcell.2021.674995
    DOI: 10.3389/fcell.2021.674995.s001
    DOI: 10.3389/fcell.2021.674995.s002
    DOI: 10.3389/fcell.2021.674995.s003
    DOI: 10.3389/fcell.2021.674995.s004
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
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  • 10
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    Long Non-coding RNA RUNDC3A-AS1 Promotes Lung Metastasis of Thyroid Cancer via Targeting the miR-182-5p/ADAM9
    Frontiers Media SA ; 2021
    In:  Frontiers in Cell and Developmental Biology Vol. 9 ( 2021-5-11)
    Details
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 9 ( 2021-5-11)
    Abstract: Long non-coding RNAs (lncRNAs) have been identified as influential indicators in variety of malignancies. Among which, LncRNA RUNDC3A-AS1 is reported to upregulate in thyroid cancer. However, the expression pattern and the pathological function of lncRNA RUNDC3A-AS1 in thyroid cancer is unclear. In this study, we examined the expression levels of lncRNA RUNDC3A-AS1 in the thyroid cancer tissues and cell lines via RT-qPCR analysis. The effects of RUNDC3A-AS1 on thyroid cancer cell metastasis were detected by transwell chamber assay, scratch assay in vitro and lung metastasis model in vivo . The results indicated that RUNDC3A-AS1 was highly expressed in the thyroid cancer tissues and cell lines. Functionally, knockdown of RUNDC3A-AS1 could repress the migration and invasion of thyroid cancer cells in vitro , and inhibit thyroid cancer metastasis to lung in vivo . Mechanistically, RUNDC3A-AS1 served as an inhibitor of miR-182-5p in tumor tissues and cell lines. RUNDC3A-AS1 inhibited the expression of miR-182-5p to increase the expression level of ADAM9, thus further aggravating the malignancy of thyroid cancer. Therefore, the RUNDC3A-AS1/miR-182-5p/ADAM9 axis may be a potential therapeutic target for the treatment of thyroid cancer metastasis.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    URL: Article
    DOI: 10.3389/fcell.2021.650004
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
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