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Updated: Jul 18, 2025

Reliable Isolation of Central Nervous System Microvessels Across Five Vertebrate Groups

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Published on: January 12, 2020

A Transcriptomic Comparative Study of Cranial Vasculature.

Jianing Zhang¹, Jee-Yeon Ryu¹, Selena-Rae Tirado¹

¹Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.

Translational Stroke Research

|August 23, 2023

Summary

This summary is machine-generated.

Choosing control vessels for cerebrovascular disease studies is key. Superficial temporal artery, middle cerebral arteries, or autopsy arteries are feasible, but their unique gene expression profiles require careful consideration.

Keywords:

Cerebral vasculature Intracerebral artery Intracranial aneurysm Superficial temporal artery

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Area of Science:

Vascular Biology
Genomics
Cerebrovascular Diseases

Background:

Optimal control vessels for genetic studies of cerebrovascular diseases are not well-defined.
Comparing transcriptomic profiles of different control vessels is crucial for accurate genetic association studies.

Purpose of the Study:

To compare transcriptomic profiles of three potential control vessels: superficial temporal artery (STA), middle cerebral arteries (MCA), and autopsy-obtained circle of Willis arteries (AU).
To evaluate the impact of different control groups on the interpretation of genetic studies in cerebrovascular diseases, specifically aneurysms.

Main Methods:

RNA sequencing (RNAseq) was employed to analyze the transcriptomic profiles of STA, MCA, and AU samples.
Comparative analysis was performed to assess gene expression differences and their implications for disease-associated gene identification.

Main Results:

All control groups (STA, MCA, AU) showed similar responses in immunological processes, intracellular signaling, and extracellular matrix production when compared to pathological cerebral arteries.
Distinct intrinsic differences were observed: AU showed increased stress/apoptosis genes, while MCA displayed elevated tRNA/rRNA processing genes compared to STA.
A matched case-control design using paired STA samples improved the identification of non-inherited disease-associated genes.

Conclusions:

MCA, AU, or paired STA samples are feasible controls for large-scale cerebrovascular disease studies, despite challenges in obtaining fresh intracranial arteries.
The intrinsic biological differences of each control vessel type must be considered during data interpretation.
Utilizing multiple tissue types as controls may offer the most optimal approach for robust genetic studies of cerebral vasculopathies.