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Related Concept Videos

Overview of the Vascular System01:20

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Related Experiment Video

Updated: Feb 21, 2026

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
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Transcriptome Profiling in Systems Vascular Medicine.

Suowen Xu1

  • 1Department of Medicine, Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, RochesterNY, United States.

Frontiers in Pharmacology
|October 4, 2017
PubMed
Summary
This summary is machine-generated.

Transcriptomic profiling, using tools like RNA-sequencing, enhances understanding of vascular diseases. Analyzing gene expression data offers new therapeutic targets for these complex conditions.

Keywords:
RNA-sequencinggene profilinglong non-coding RNAmicroarraytranscriptomevascular medicine

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Area of Science:

  • Cardiovascular Biology
  • Systems Medicine
  • Bioinformatics

Background:

  • The post-genomic era utilizes diverse "-omics" approaches to study vascular diseases.
  • Transcriptomic profiling, including gene microarray and RNA-sequencing, is crucial for systems medicine.

Purpose of the Study:

  • To highlight the workflow of transcriptomic profiling.
  • To outline basic bioinformatics analysis for transcriptomic data.
  • To summarize recent gene profiling studies in vascular diseases.

Main Methods:

  • Genome-wide transcriptomic profiling (gene microarray, RNA-sequencing).
  • Bioinformatics analysis of transcriptomic datasets.
  • Review of studies on vascular cells, human, and mouse diseased samples.

Main Results:

  • Transcriptomic profiling revolutionizes the analysis of vascular disease mechanisms.
  • Public repository datasets offer insights into the cellular basis of vascular diseases.

Conclusions:

  • Further mining of transcriptomic data can reveal novel therapeutic targets.
  • Understanding gene expression is key to advancing vascular disease research and treatment.