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相关概念视频

Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
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Pedigree Analysis01:35

Pedigree Analysis

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Overview
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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
471
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
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Carbohydrate Metabolism01:36

Carbohydrate Metabolism

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Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
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相关实验视频

Updated: May 9, 2025

Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis
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使用结构信息的纵向路径分析与早期1型糖尿病的案例研究.

Maria K Jaakkola1,2, Anu Kukkonen-Macchi1, Tomi Suomi3

  • 1Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.

Scientific reports
|May 2, 2025
PubMed
概括

我们开发了长度数据的途径分析 (PAL),这是一种分析复杂生物途径数据的新方法. PAL有效地处理纵向研究并利用途径结构,优于基因和蛋白质表达分析的现有工具.

关键词:
计算方法 计算方法基因表达 基因表达 基因表达纵向数据 纵向数据 纵向数据路径分析 路径分析蛋白质表达方式 蛋白质表达方式第1类糖尿病患者.

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Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
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Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

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相关实验视频

Last Updated: May 9, 2025

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科学领域:

  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学
  • 基因组学和蛋白质组学

背景情况:

  • 路径分析对于解释基因/蛋白质表达数据至关重要,但目前的方法对于复杂的设计缺乏灵活性.
  • 现有的工具在纵向研究和在所有样本中不一致定义感兴趣的变量的情况下扎.

研究的目的:

  • 引入一种新的方法 - - 纵向数据的途径分析 (PAL),该方法针对复杂的研究设计,特别是纵向数据而设计.
  • 通过结合路径结构和容纳未定义变量来克服现有的路径分析工具的局限性.

主要方法:

  • 开发了一种新的计算方法,PAL,用于路径分析.
  • 在分析框架内使用的路径结构.
  • 将PAL应用于模拟数据和三个真实世界的纵向数据集.

主要成果:

  • 使用模拟数据证明了PAL的性能.
  • 成功地应用PAL来分析1型糖尿病发展的纵向研究中的转录和蛋白质组数据.
  • 突出了PAL在复杂数据集中检测微妙生物信号的能力.

结论:

  • 在复杂的生物学研究中,PAL为途径分析提供了显著的进步,特别是纵向设计.
  • 该方法有效地利用路径结构,处理超出当前工具范围的数据复杂性.
  • 为PAL提供了一个R包,以促进其在研究界的采用.