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  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Doi.org Make Money
  6. Keywords
  7. Topics
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We began analyzing https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-025-06324-6, but it redirected us to https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-025-06324-6. The analysis below is for the second page.

Title[redir]:
Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer’s disease | Journal of Translational Medicine | Full Text
Description:
Background RNA modification plays a critical role in Alzheimer’s disease (AD) by modulating the expression and function of AD-related genes, thereby affecting AD occurrence and progression. Programmed cell death is closely related to neuronal death and associated with neuronal loss and cognitive function changes in AD. However, the mechanism of their joint action on AD remains unknown and requires further exploration. Methods We used the MSBB RNA-seq dataset to analyze the correlation between RNA modification, programmed cell death, and AD. We used combined studies of RNA modification and programmed cell death to distinguish subgroups of patients, and the results highlight the strong correlation between RNA modification-related programmed cell death and AD. A weighted gene co-expression network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. Finally, by combining unsupervised consensus clustering, gene co-expression networks, and machine learning algorithms, an RNA modification-related programmed cell death network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. An RNA modification-related programmed cell death risk score was calculated to predict the occurrence of AD. Results RPCD-related genes classified patients into subgroups with distinct clinical characteristics. Nineteen key genes were identified and an RPCD risk score was constructed based on the key genes. This score can be used for the diagnosis of AD and the assessment of disease progression in patients. The diagnostic efficacy of the RPCD risk score and the key genes was validated in the ROSMAP, GEO, and ADNI datasets. Conclusion This study uncovered that RNA modification-related PCD is of significance for AD progression and early prediction, providing insights from a new perspective for the study of disease mechanisms in AD.

Matching Content Categories {šŸ“š}

  • Science
  • Education
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Content Management System {šŸ“}

What CMS is doi.org built with?

Custom-built

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Traffic Estimate {šŸ“ˆ}

What is the average monthly size of doi.org audience?

šŸš€ Good Traffic: 50k - 100k visitors per month


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How Does Doi.org Make Money? {šŸ’ø}

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Keywords {šŸ”}

genes, pubmed, risk, rna, pcd, article, rpcd, google, scholar, score, patients, disease, cell, cas, death, gene, central, key, data, groups, analysis, modifications, alzheimers, fig, expression, clinical, high, group, modification, correlation, potential, cluster, brain, progression, cdr, control, braak, significant, role, study, low, results, highrisk, wang, based, function, patient, scores, dementia, showed,

Topics {āœ’ļø}

m6a/m5c/m1a-related lncrnas signature ros-induced caspase-independent apoptosis central high-level hospital traditional chinese medicine m6a/m5c-related lncrna signature single-molecule resolution reveals text{gene score}=\sum_{\text{ builds trees leaf-wise peri-plaque glial nets hematological genome-wide data neuroactive ligand-receptor interactions programmed death-related pathways mtros-chaperone-mediated autophagy multi-brain region data cross-validation error rates reflect ad-induced brain scale-free topology criterion approximate scale-free network adni page regulating srsf9-mediated splicing fluoride-induced neuronal ferroptosis outstanding youth foundation rna modification-related pcd msbb rna-seq dataset /explore/jsp/search/search machine learning algorithms leveraging column-line plots numerous synapse-related functions post-transcriptional regulatory mechanism synapse-related biological pathways rna-guided rna modifications cellular senescence-related genes utilizedĀ lasso—logistic regression machine learning algorithm translational medicine home parahippocampal gyrus data ad-related clinicalĀ parameters disulfide stress-induced autophagy-dependent cell death n6-methyladenosine rna mediates phospho-tau-burdened neurons privacy choices/manage cookies low-risk group carrying chinese medicine m6a-ythdf2-dependent manner superior temporal gyrus low-risk groups based phosphorylated tau231/total tau rna-seq data bmc

Questions {ā“}

  • Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?

Schema {šŸ—ŗļø}

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         description:RNA modification plays a critical role in Alzheimer’s disease (AD) by modulating the expression and function of AD-related genes, thereby affecting AD occurrence and progression. Programmed cell death is closely related to neuronal death and associated with neuronal loss and cognitive function changes in AD. However, the mechanism of their joint action on AD remains unknown and requires further exploration. We used the MSBB RNA-seq dataset to analyze the correlation between RNA modification, programmed cell death, and AD. We used combined studies of RNA modification and programmed cell death to distinguish subgroups of patients, and the results highlight the strong correlation between RNA modification-related programmed cell death and AD. A weighted gene co-expression network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. Finally, by combining unsupervised consensus clustering, gene co-expression networks, and machine learning algorithms, an RNA modification-related programmed cell death network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. An RNA modification-related programmed cell death risk score was calculated to predict the occurrence of AD. RPCD-related genes classified patients into subgroups with distinct clinical characteristics. Nineteen key genes were identified and an RPCD risk score was constructed based on the key genes. This score can be used for the diagnosis of AD and the assessment of disease progression in patients. The diagnostic efficacy of the RPCD risk score and the key genes was validated in the ROSMAP, GEO, and ADNI datasets. This study uncovered that RNA modification-related PCD is of significance for AD progression and early prediction, providing insights from a new perspective for the study of disease mechanisms in AD.
         datePublished:2025-04-03T00:00:00Z
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      headline:Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer’s disease
      description:RNA modification plays a critical role in Alzheimer’s disease (AD) by modulating the expression and function of AD-related genes, thereby affecting AD occurrence and progression. Programmed cell death is closely related to neuronal death and associated with neuronal loss and cognitive function changes in AD. However, the mechanism of their joint action on AD remains unknown and requires further exploration. We used the MSBB RNA-seq dataset to analyze the correlation between RNA modification, programmed cell death, and AD. We used combined studies of RNA modification and programmed cell death to distinguish subgroups of patients, and the results highlight the strong correlation between RNA modification-related programmed cell death and AD. A weighted gene co-expression network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. Finally, by combining unsupervised consensus clustering, gene co-expression networks, and machine learning algorithms, an RNA modification-related programmed cell death network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. An RNA modification-related programmed cell death risk score was calculated to predict the occurrence of AD. RPCD-related genes classified patients into subgroups with distinct clinical characteristics. Nineteen key genes were identified and an RPCD risk score was constructed based on the key genes. This score can be used for the diagnosis of AD and the assessment of disease progression in patients. The diagnostic efficacy of the RPCD risk score and the key genes was validated in the ROSMAP, GEO, and ADNI datasets. This study uncovered that RNA modification-related PCD is of significance for AD progression and early prediction, providing insights from a new perspective for the study of disease mechanisms in AD.
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         Synapse
         Parahippocampal gyrus
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               type:PostalAddress
            type:Organization
            name:Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education
            address:
               name:Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, China
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Key Laboratory of Heilongjiang Province for Genetically Modified Animals, Harbin Medical University, Harbin, China
      name:Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, China
      name:Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, China
      name:Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
      name:Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Harbin Medical University, Harbin, China
      name:Key Laboratory of Heilongjiang Province for Genetically Modified Animals, Harbin Medical University, Harbin, China
      name:Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, China
      name:Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, China

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