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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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Coronary Circulation01:21

Coronary Circulation

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The heart, an organ critical to survival, gets nourishment not from the blood it pumps but from a separate circulation system known as coronary circulation. This is the shortest circulation in the body and is responsible for supplying the heart with the nutrients it needs to function effectively.
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Fetal Circulation01:14

Fetal Circulation

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Fetal circulation is a unique system that facilitates the exchange of gases, nutrients, and waste products between the developing fetus and the mother. This intricate process takes place through a special organ called the placenta.
Two umbilical arteries transport blood from the fetus to the placenta. At the placenta, the blood absorbs oxygen and nutrients while simultaneously eliminating waste products. This oxygen-enriched and nutrient-rich blood then returns to the fetus through one...
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Overview of Pulmonary Circulation01:19

Overview of Pulmonary Circulation

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The pulmonary circulation is a vital system in our body that acts as a bridge between the respiratory and cardiovascular systems. It serves as a transport network for deoxygenated blood from the heart to the lungs and then returns oxygen-rich blood back to the heart.
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Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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MicroRNA Expression Profiles of Human iPS Cells, Retinal Pigment Epithelium Derived From iPS, and Fetal Retinal Pigment Epithelium
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CMEP: a database for circulating microRNA expression profiling.

Jian-Rong Li1,2, Chun-Yip Tong1, Tsai-Jung Sung1

  • 1Institute of Genomics and Bioinformatics.

Bioinformatics (Oxford, England)
|January 23, 2019
PubMed
Summary
This summary is machine-generated.

Circulating microRNAs (miRNAs) show promise as disease biomarkers. The new Circulating MicroRNA Expression Profiling (CMEP) database integrates large-scale miRNA data and uses machine learning for biomarker discovery.

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Area of Science:

  • Biomolecular analysis
  • Bioinformatics
  • Genomics

Background:

  • Circulating microRNAs (miRNAs) are dysregulated in various diseases, suggesting their potential as noninvasive biomarkers for diagnosis and prognosis.
  • Existing databases lack comprehensive integration of large-scale circulating miRNA profiles and biomarker prediction functionalities.

Purpose of the Study:

  • To develop the Circulating MicroRNA Expression Profiling (CMEP) database for integrating, analyzing, and visualizing phenotype-specific circulating miRNA expression profiles.
  • To enable the discovery of noninvasive biomarkers for diseases using machine learning-based feature selection.

Main Methods:

  • Curated massive datasets from NCBI GEO and exRNA Atlas, comprising 66 datasets, 228 subsets, and 10,419 samples.
  • Implemented differential expression analysis and KEGG functional pathway enrichment analysis.
  • Integrated feature selection methods (ridge regression, lasso regression, SVM, random forests) for biomarker discovery.

Main Results:

  • Constructed the CMEP database, a centralized resource for circulating miRNA expression data.
  • Provided integrated analysis of differential expression and functional pathways.
  • Enabled prediction of potential noninvasive biomarkers through machine learning.

Conclusions:

  • The CMEP database facilitates the exploration of circulating miRNA profiles and aids in noninvasive biomarker discovery.
  • CMEP offers a user-friendly platform for data visualization and analysis, advancing disease diagnosis and prognosis research.