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Method Article

Calcified Artery Preparation and Processing with Preserved Morphology and RNA for Digital Spatial Profiling

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DOI:

10.3791/69159

January 23rd, 2026

* These authors contributed equally

In This Article

Summary

This protocol includes a step-by-step workflow for calcified vascular specimens: tissue handling, decalcification, RNA validation, calcification level detection, and region-of-interest selection strategies on the Nanostring GeoMx Digital Spatial Profiler (DSP). The goal is to present a comprehensive method for preserving vascular tissue morphology and RNA for reliable spatial transcriptomic analysis.

Abstract

Spatial transcriptomics maps whole-transcriptome profiles directly onto tissue sections, correlating between cellular neighborhoods and gene expression and how these activities drive health and disease. Although the approach has transformed oncology, neuroscience, immunology, developmental sciences, and many fields, it has been less widely used in vascular biology, even though vascular disease remains a leading cause of death worldwide. Two obstacles stand out: arteries and veins offer little flat surface for sectioning, and diseased specimens, often atherosclerotic, thrombosed, plaque-laden, or calcified, require harsh treatments such as decalcification that jeopardize morphology and RNA integrity. Yet these same vessels, with their concentric intima, media, and adventitia layered structures, are ideal for spatial analysis because each layer hosts distinct cell types and gene programs that interact across the wall.

Few detailed protocols address how to prepare vascular tissues for spatial transcriptomics. This shortage limits researchers' ability to exploit the technique's full potential. To bridge the gap, we present a step-by-step workflow optimized for human tibial arteries with advanced lesions. The protocol covers tissue handling, fixation, and proper decalcification that preserve structure and RNA quality, followed by histological staining to grade calcification severity. We also describe the construction of tissue microarray (TMA) to curb batch effects and region of interest (ROI) selection strategies on the NanoString GeoMx Digital Spatial Profiler (DSP).

By lowering technical barriers, this protocol enables vascular researchers to generate reliable spatial transcriptomic data and study layer-specific transcriptional activities in healthy and diseased vessels. We anticipate that it will accelerate the discovery of mechanisms underlying calcification, inflammation, intimal atherosclerosis, and other vascular pathologies and foster broader adoption of spatial transcriptomics in vascular biology.

Introduction

Over the past decade, next-generation sequencing and high-resolution imaging have converged to advance spatial transcriptomics, a method of whole transcriptome quantification while preserving each transcript's precise location in tissue sections1,2. When paired with the rapidly maturing single-cell RNA-sequencing (scRNA-seq) field, spatial approaches provide an efficient route to link gene signatures with specific cell types, states, and niches within a tissue or organ, greatly enriching our understanding of disease mechanisms3,4,

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Protocol

All procedures for collecting human arterial specimens were approved by the University of Washington Human Subjects Division Institutional Review Board (IRB) and the IRB of the VA Puget Sound Health Care System (Seattle, WA). Written informed consents were obtained from the patients before tissue collection. The materials and equipment used for this study are listed in the Table of Materials.

1. Tissue trimming and fixing

  1. Tissue trimming
    1. Prepare the transportation bag using multi-layered packaging, containing an inner tube, a secondary container, an outer shipping canister, and a bio....

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Results

The protocol outlined here guides investigators from the receipt of tibial arteries to the generation of TMA slides that retain both morphology and RNA integrity for spatial transcriptomics analysis. It also details histological methods for visualizing calcium deposits in arteries, morphological marker staining, and ROI selection strategies.

In Figure 1, arteries are fixed in 10% NBF (step 2). NBF penetrates tissue rapidly, minimizing RNA degradation, and its phos.......

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Discussion

This protocol details the steps required to prepare calcified human tibial arteries for spatial transcriptomic profiling on the NanoString GeoMx DSP. Tibial arteries, like all vessels, possess concentric intima, media, and adventitia layers, each harboring distinct cell populations that orchestrate injury and repair. Maintaining the architecture of these layers is essential for layer-resolved transcriptomic analyses, yet several often-overlooked preparatory steps can compromise that goal.

Afte.......

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Disclosures

The authors have no conflicts of interest to declare.

Acknowledgements

This work was supported by a seed grant from the VA Puget Sound, VA Merit award I01 BX004975-02, and resources and the use of facilities at the VA Puget Sound Health Care Center.  The work is that of the authors and does not necessarily reflect the position or policy of the Department of Veteran Affairs or the United States government.  We would like to acknowledge the imaging service provided by the Histology and Imaging Core (HIC) at the University of Washington.  We would like to thank Dr Shreeram Akilesh for his guidance on DSP experiments at the University of Washington and his group at MANTIS Labs:  UW Spatial Biology Core.  We would als....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Dulbecco's Modified Eagle's Medium (DMEM), high glucose, pyruvate Thermo Fisher Scientific11995065
4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) buffer solution, 1 MThermo Fisher Scientific15630080
Penicillin-Streptomycin (P/S), 10,000 U/mLThermo Fisher Scientific15140122
10% Neutral Buffered Formalin (NBF)Millipore Sigma65346-M
Ethylene-diamine-tetraacetic acid (EDTA)Millipore Sigma3620
RNAlater Stabilization SolutionThermo Fisher ScientificAM7024RNA stabilization solution (RSS)
Hydrogen peroxide (H2O2)Advanced Cell Diagnostics, Inc322335
Target retrieval solutionAdvanced Cell Diagnostics, Inc322001
Protease PlusAdvanced Cell Diagnostics, Inc322331digestive enzyme supplement
DapB (negative control)Advanced Cell Diagnostics, Inc310043
RNAscope wash buffer (RNAscope 2.5 HD Red ISH assay kit)Advanced Cell Diagnostics, Inc320058
AMP1Advanced Cell Diagnostics, Inc324511
AMP2Advanced Cell Diagnostics, Inc324512
AMP3Advanced Cell Diagnostics, Inc324513
AMP4Advanced Cell Diagnostics, Inc324514
AMP5 RedAdvanced Cell Diagnostics, Inc324515
AMP6 RedAdvanced Cell Diagnostics, Inc324516
Fast Red AAdvanced Cell Diagnostics, Inc324517
Human PpibAdvanced Cell Diagnostics, Inc313901
Gill’s hematoxylinMillipore SigmaGHS132
Antigen retrieval, Tris/EDTA pH 9Thermo Fisher Scientific00-4956-58
Proteinase KThermo Fisher ScientificAM2546
Hybridization solution-Hs WTANanostring121401102
Hybrisliphybridization slip
Hybridization solution-Buffer RNanostring121300313
Rabbit anti-CD45 Cell Signaling1317
Buffer WNanostring121300313
Goat anti-Rabbit IgG-AF647Jackson Immunoresearch111-605-144
Mouse anti-SMA-AF488 Thermo Fisher Scientific53-9760
Syto83 Thermo Fisher ScientificS11364
Surgical bladeBD Biosciences371110
Superfrost  Plus Microscope SlidesThermo Fisher Scientific1255015
ImmEdge pen
Microtome bladesThermo Fisher Scientific22-500-125
RNase AWAYRNase-inactivating solution
Equipment
HybEZ hybridization oven Advanced Cell Diagnostics, Inc321710
GeoMx Digital Spatial ProfilerNanostring Model: GeoMx DSP
Data access platform: GeoMx DSP Control Center (Version 3.1.2.12)
Channel scan setting: for FITC, explosure time is 300 ms, and fluorophore is AlexaFluro 488; for channel Cy3, exposure time is 50 ms, and fluorophore is Syto83; and for channel Cy5, exposure time is 300 ms, and fluorophore is AlexaFluor 647.

References

  1. Rao, A., Barkley, D., França, G. S., Yanai, I. Exploring tissue architecture using spatial transcriptomics. Nature. 596 (7871), 211-220 (2021).
  2. Dries, R., et al. Advances in spatial transcriptomic data analysis. Genome Res. 31 (10), 1706-1718 (2021).
  3. Schmitd, L. B.,

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Tags

Spatial TranscriptomicsRNA PreservationTissue DecalcificationRNAscope HybridizationHistological StainingAlizarin Red StainingTissue MicroarrayRegion Of Interest