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Related Concept Videos

Type II Diabetes I: Introduction01:26

Type II Diabetes I: Introduction

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
Type II Diabetes II: Pathophysiology01:24

Type II Diabetes II: Pathophysiology

PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.
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Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
Type I Diabetes II: Pathophysiology01:26

Type I Diabetes II: Pathophysiology

Type 1 diabetes mellitus arises from an immune-mediated destruction of pancreatic β-cells, resulting in an absolute deficiency of insulin. This process develops in genetically susceptible individuals when autoimmunity, environmental exposures, and immunologic dysregulation converge to trigger a targeted attack on the insulin-producing cells of the pancreas. The β-cells are located within the islets of Langerhans and are essential for regulating blood glucose by facilitating cellular uptake of...
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

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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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
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Gene expression mining in type 2 diabetes research.

Donald R Dunbar1

  • 1Centres for Cardiovascular Science and Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK. donald.dunbar@ed.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|June 9, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces free, web-based data mining tools for analyzing microarray data. These resources help novice researchers exploit gene enrichment, literature mining, and transcription factor binding site information.

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Area of Science:

  • Biomedical research
  • Bioinformatics
  • Genomics

Background:

  • Microarray analysis is a fundamental technique in modern biomedical research, generating vast datasets.
  • Effective exploitation of microarray data requires specialized data mining approaches.
  • Novice users often face challenges in accessing and utilizing advanced analytical tools.

Purpose of the Study:

  • To introduce accessible data mining tools for microarray analysis.
  • To focus on free, publicly available, web-based resources for researchers.
  • To empower users with techniques for gene enrichment, literature mining, and transcription factor binding site analysis.

Main Methods:

  • Description of web-based tools for gene enrichment analysis.
  • Overview of literature mining resources for biological data.
  • Explanation of tools for transcription factor binding site analysis.

Main Results:

  • Identification of user-friendly, free online tools for microarray data analysis.
  • Demonstration of how these tools aid in interpreting complex genomic information.
  • Facilitation of advanced analysis for researchers with limited bioinformatics expertise.

Conclusions:

  • Free, web-based tools significantly enhance the utility of microarray experiments.
  • Accessible data mining techniques democratize advanced genomic analysis.
  • These resources are invaluable for researchers seeking to maximize insights from their microarray data.