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  1. Book ; Thesis: COL8A1 promotes progression and gemcitabine resistance of pancreatic ductal adenocarcinoma through an autocrine/paracrine fashion

    Yan, Bin / Herr, Ingrid

    2021  

    Institution Universität Heidelberg
    Author's details vorgelegt von Bin Yan ; Doktormutter: Herr Prof. Dr. rer. nat. Ingrid Herr
    Language English
    Size 117 Seiten, Illustrationen, Diagramme
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2022
    HBZ-ID HT030032125
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2023 E 907 order for loan Magazin

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  2. Article: Development of Multienzyme Isothermal Rapid Amplification (MIRA) Combined with Lateral-Flow Dipstick (LFD) Assay to Detect Species-Specific

    Park, Seong Bin / Zhang, Yan

    Pathogens (Basel, Switzerland)

    2024  Volume 13, Issue 1

    Abstract: ... Vibrio ... ...

    Abstract Vibrio parahaemolyticus
    Language English
    Publishing date 2024-01-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens13010057
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The rise of high-entropy battery materials.

    Ouyang, Bin / Zeng, Yan

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 973

    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-45309-9
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  4. Article ; Online: Targeting methionine metabolism in cancer: opportunities and challenges.

    Bin, Peng / Wang, Chuanlong / Zhang, Hangchao / Yan, Yuqi / Ren, Wenkai

    Trends in pharmacological sciences

    2024  Volume 45, Issue 5, Page(s) 395–405

    Abstract: Reprogramming of methionine metabolism is a conserved hallmark of tumorigenesis. Recent studies have revealed mechanisms regulating methionine metabolism within the tumor microenvironment (TME) that drive both cancer development and antitumor immunity ... ...

    Abstract Reprogramming of methionine metabolism is a conserved hallmark of tumorigenesis. Recent studies have revealed mechanisms regulating methionine metabolism within the tumor microenvironment (TME) that drive both cancer development and antitumor immunity evasion. In this review article we summarize advancements in our understanding of tumor regulation of methionine metabolism and therapies in development that target tumor methionine metabolism. We also delineate the challenges of methionine blockade therapies in cancer and discuss emerging strategies to address them.
    MeSH term(s) Humans ; Methionine/metabolism ; Neoplasms/drug therapy ; Neoplasms/metabolism ; Tumor Microenvironment ; Animals ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use
    Chemical Substances Methionine (AE28F7PNPL) ; Antineoplastic Agents
    Language English
    Publishing date 2024-04-05
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 282846-7
    ISSN 1873-3735 ; 0165-6147
    ISSN (online) 1873-3735
    ISSN 0165-6147
    DOI 10.1016/j.tips.2024.03.002
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    Zs.A 1513: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  5. Article: Demonstrating quality control procedures for fMRI in DPABI.

    Lu, Bin / Yan, Chao-Gan

    Frontiers in neuroscience

    2023  Volume 17, Page(s) 1069639

    Abstract: Quality control (QC) is an important stage for functional magnetic resonance imaging (fMRI) studies. The methods for fMRI QC vary in different fMRI preprocessing pipelines. The inflating sample size and number of scanning sites for fMRI studies further ... ...

    Abstract Quality control (QC) is an important stage for functional magnetic resonance imaging (fMRI) studies. The methods for fMRI QC vary in different fMRI preprocessing pipelines. The inflating sample size and number of scanning sites for fMRI studies further add to the difficulty and working load of the QC procedure. Therefore, as a constituent part of the Demonstrating Quality Control Procedures in fMRI research topic in Frontiers, we preprocessed a well-organized open-available dataset using DPABI pipelines to illustrate the QC procedure in DPABI. Six categories of DPABI-derived reports were used to eliminate images without adequate quality. After the QC procedure, twelve participants (8.6%) were categorized as excluded and eight participants (5.8%) were categorized as uncertain. More automatic QC tools were needed in the big-data era while visually inspecting images was still indispensable now.
    Language English
    Publishing date 2023-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2023.1069639
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  6. Article ; Online: Reply to Letter to the Editor: "Effects of intravenous hydration in preventing post-contrast acute kidney injury in patients with eGFR < 30 mL/min/1.73 m

    Yan, Ping / Duan, Shao-Bin

    European radiology

    2023  Volume 34, Issue 4, Page(s) 2644–2646

    MeSH term(s) Humans ; Acute Kidney Injury/chemically induced ; Acute Kidney Injury/prevention & control ; Administration, Intravenous
    Language English
    Publishing date 2023-10-10
    Publishing country Germany
    Document type Letter
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-023-10292-0
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  7. Article: Realizing consumers' existential dreams via product marketing and mixed reality: a perspective based on affective neuroscience theories.

    Yin, Bin / Jiang, Yan-Bin / Chen, Jian

    Frontiers in neuroscience

    2023  Volume 17, Page(s) 1256194

    Abstract: In an era of swift societal changes and escalating consumerism, this paper presents an exploration of an innovative approach that integrates product marketing strategies, mixed reality (MR) technology, and affective neuroscience theories to actualize ... ...

    Abstract In an era of swift societal changes and escalating consumerism, this paper presents an exploration of an innovative approach that integrates product marketing strategies, mixed reality (MR) technology, and affective neuroscience theories to actualize consumers' existential dreams. MR, with its unique capacity to blend the virtual and real worlds, can enhance the consumer experience by creating immersive, personalized environments that resonate with consumers' existential aspirations. Insights from affective neuroscience, specifically the brain's processing of emotions, guide the development of emotionally engaging marketing strategies, which strengthen the connection between consumers, products, and brands. These integrated strategies not only present a novel blueprint for companies to deepen consumer engagement but also promise more fulfilling and meaningful consumer experiences. Moreover, this approach contributes to societal well-being and prosperity, marking a significant stride in the field of marketing.
    Language English
    Publishing date 2023-09-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2023.1256194
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  8. Article: A Machine Learning Method for a Blood Diagnostic Model of Pancreatic Cancer Based on microRNA Signatures.

    Huang, Bin / Xin, Chang / Yan, Huanjun / Yu, Zhewei

    Critical reviews in immunology

    2024  Volume 44, Issue 3, Page(s) 13–23

    Abstract: This study aimed to construct a blood diagnostic model for pancreatic cancer (PC) using miRNA signatures by a combination of machine learning and biological experimental verification. Gene expression profiles of patients with PC and transcriptome ... ...

    Abstract This study aimed to construct a blood diagnostic model for pancreatic cancer (PC) using miRNA signatures by a combination of machine learning and biological experimental verification. Gene expression profiles of patients with PC and transcriptome normalization data were obtained from the Gene Expression Omnibus (GEO) database. Using random forest algorithm, lasso regression algorithm, and multivariate cox regression analyses, the classifier of differentially expressed miRNAs was identified based on algorithms and functional properties. Next, the ROC curve analysis was used to evaluate the predictive performance of the diagnostic model. Finally, we analyzed the expression of two specific miRNAs in Capan-1, PANC-1, and MIA PaCa-2 pancreatic cells using qRT-PCR. Integrated microarray analysis revealed that 33 common miRNAs exhibited significant differences in expression profiles between tumor and normal groups (P value < 0.05 and |logFC| > 0.3). Pathway analysis showed that differentially expressed miRNAs were related to P00059 p53 pathway, hsa04062 chemokine signaling pathway, and cancer-related pathways including PC. In ENCORI database, the hsa-miR-4486 and hsa-miR-6075 were identified by random forest algorithm and lasso regression algorithm and introduced as major miRNA markers in PC diagnosis. Further, the receiver operating characteristic curve analysis achieved the area under curve score > 80%, showing good sensitivity and specificity of the two-miRNA signature model in PC diagnosis. Additionally, hsa-miR-4486 and hsa-miR-6075 genes expressions in three pancreatic cells were all up-regulated by qRT-PCR. In summary, these findings suggest that the two miRNAs, hsa-miR-4486 and hsa-miR-6075, could serve as valuable prognostic markers for PC.
    MeSH term(s) Humans ; MicroRNAs/genetics ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/genetics ; Algorithms ; Machine Learning
    Chemical Substances MicroRNAs
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1353116-5
    ISSN 1040-8401
    ISSN 1040-8401
    DOI 10.1615/CritRevImmunol.2023051250
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    Zs.A 1699: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  9. Article ; Online: Characteristics of Ovarian Cancer Immune Cell Invasion and Bioinformatics to Predict the Effect of Immunotherapy.

    Yan, Lingli / Fan, Erxi / Tan, Bin

    Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme

    2024  Volume 56, Issue 3, Page(s) 197–205

    Abstract: Recent studies have confirmed that tumor immune cell infiltration (ICI) is associated with sensitivity of ovarian cancer (OC) immunotherapy and disease progression of OC patients. However, studies related to immune infiltration in OC, has not been ... ...

    Abstract Recent studies have confirmed that tumor immune cell infiltration (ICI) is associated with sensitivity of ovarian cancer (OC) immunotherapy and disease progression of OC patients. However, studies related to immune infiltration in OC, has not been elucidated. Two algorithms are used to analyze the OC data in the TCGA and GEO databases. After combining the two data sets, the immune cell content of the sample was estimated by Cell-type Identification By Estimate Relative Subsets of RNA Transcripts (CIBERSORT method). An unsupervised consistent clustering algorithm was used to analyze ICI subtypes and their differentially expressed genes (DEGs). Two subgroups and three ICI gene clusters were identified by unsupervised consensus clustering algorithm. The ICI score was obtained by analyzing the gene characteristics through principal component analysis (PCA). The ICI score ranged from -15.8132 to 18.7211, which was associated with the prognosis of OC patients with immunotherapy. The Toll-like receptor pathway, B-cell receptor pathway, antigen processing and presentation pathway, NK-cell-mediated cytotoxicity pathway, and arginine-proline metabolism pathway were activated in the high ICI score group, suggesting that immune cells in the high ICI score group were activated, thus leading to a better prognosis in this group of patients. Patients with G3-G4 in the high ICI rating group were more sensitive to immunotherapy and had a better prognosis in patients with high tumor mutation burden (TMB). This study suggests that ICI scores can be used as a feasible auxiliary indicator for predicting the prognosis of patients with OC.
    MeSH term(s) Humans ; Female ; Ovarian Neoplasms/genetics ; Ovarian Neoplasms/therapy ; Computational Biology ; Algorithms ; Immunotherapy ; Prognosis
    Language English
    Publishing date 2024-01-19
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 80125-2
    ISSN 1439-4286 ; 0018-5043
    ISSN (online) 1439-4286
    ISSN 0018-5043
    DOI 10.1055/a-2231-8475
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  10. Article ; Online: Biological functions of connexins in the development of inflammatory bowel disease.

    Yan, Qiaojing / Feng, Zhiling / Jiang, Bin / Yao, Jian

    Scandinavian journal of gastroenterology

    2024  Volume 59, Issue 2, Page(s) 142–149

    Abstract: Inflammatory bowel disease (IBD) is a group of chronic intestinal inflammatory diseases with unknown etiology. Gap junctions composed of connexins (Cxs) have been recently validated as an important factor in the development of IBD. Under IBD-induced ... ...

    Abstract Inflammatory bowel disease (IBD) is a group of chronic intestinal inflammatory diseases with unknown etiology. Gap junctions composed of connexins (Cxs) have been recently validated as an important factor in the development of IBD. Under IBD-induced inflammatory response in the gut, gap junctions connect multiple signaling pathways involved in the interaction between inflammatory cells with other intestinal cells, which altogether mediate the development of IBD. This paper is a narrative review aiming to comprehensively elucidate the biological function of connexins, especially the ubiquitously and predominantly expressed Cx43, in the pathogenesis of IBD.
    MeSH term(s) Humans ; Connexins/metabolism ; Gap Junctions/metabolism ; Signal Transduction ; Inflammatory Bowel Diseases/metabolism
    Chemical Substances Connexins
    Language English
    Publishing date 2024-01-30
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 82042-8
    ISSN 1502-7708 ; 0036-5521
    ISSN (online) 1502-7708
    ISSN 0036-5521
    DOI 10.1080/00365521.2023.2267713
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