Atherosclerotic cardiovascular disease (ASCVD) is the world's leading cause of death and disability, and despite major therapeutic advances, its burden remains undiminished1. Atherosclerosis is a chronic inflammatory disease of the arterial wall, driven by complex and dynamic interactions among diverse cell populations that collectively orchestrate the silent progression from early subclinical disease to life-altering cardiovascular (CV) events2.
In medium and large arteries, the buildup of cholesterol deposits within macrophages is a hallmark of atherosclerosis3. The atherosclerotic plaque consists of fatty acids, cholesterol, inflammatory cells, calcium, fibrin, smooth muscle cells, endothelial cells, and cellular debris within the subendothelium4. Atherosclerotic plaques are classified into two types: low-risk and high-risk. High-risk plaques are identified by their tendency to trigger a subsequent cardiovascular event, typically through mechanisms such as plaque erosion or rupture5.
The characteristics of high-risk plaques include large lipid cores, several inflammatory cells, fewer smooth muscle cells, a thin fibrous cap, microcalcification, intraplaque haemorrhage, neo vessels, and a necrotic core6. The detection of high-risk plaques is clinically performed using non-invasive and invasive imaging modalities, namely, coronary computed tomography angiography (CCTA) and optical coherence tomography (OCT), respectively7,8. Despite numerous advancements in cardiovascular imaging, it is still challenging to predict the rupture of atherosclerotic plaque that causes myocardial infarction (MI), and it is not always useful in clinical settings9.
Despite decades of research, we still lack reliable circulating biomarkers that can specifically identify high-risk plaques phenotypes, leaving a critical gap in our clinical management of atherosclerosis. This underscores the need for molecular strategies that can characterize these plaques at a more fundamental biological level7,10. In this context, RNA-based markers have gained considerable attention, as they can capture the intricate transcriptional activity occurring within the plaque microenvironment11. Recent developments in single-cell RNA sequencing (scRNA-seq) have proven particularly powerful, offering an unprecedented resolution to profile individual cells within atherosclerotic plaques and uncover distinct cell populations, gene expression patterns, and molecular pathways that underlie plaque vulnerability12,13. Despite these developments, little knowledge exists on the regulatory processes, interactions, and functional importance of the various cell types implicated in atherosclerosis development14.
When atherosclerotic burden is severe and diffuse, surgical revascularization becomes the definitive treatment strategy. Coronary endarterectomy (CE) is a surgical adjunct to coronary artery bypass graft (CABG) surgery in which atherosclerotic plaque is mechanically removed from diffusely diseased coronary arteries to enable bypass grafting and achieve complete myocardial revascularization15,16. Atherosclerotic plaques and endarterectomy specimens are particularly challenging to work with because they contain abundant necrotic tissue, lipid deposits, fibrin, and calcifications. When these tissues are broken down for analysis, they generate substantial debris that clogs filters and microfluidic systems, making the isolation of viable single cells extremely difficult17,18. In fact, one carotid plaque study found that viable cells represented less than 1% of all particles after tissue processing; the rest was simply plaque debris18.
Further compounding this challenge, atherosclerotic plaques exist in a state of chronic metabolic and oxidative stress, where cells undergoing apoptosis, senescence, and other degenerative processes render cell membranes increasingly fragile and susceptible to disruption, making the isolation of viable single cells extremely difficult18,19,20. The mechanical and enzymatic digestion required to prepare samples for scRNA-seq often damages these already compromised cells, further reducing viability and resulting in poor cell capture rates. This process also tends to selectively lose fragile or rare cell populations, which introduces significant bias into both the transcriptomic data and the cell types represented in the final results. This problem becomes even more pronounced in calcified or heavily diseased plaques, where the harsh processing conditions needed to break down the tissue cause additional damage to cell viability18,21,22.
In contrast, the nucleus remains structurally intact even under these adverse conditions23. This is primarily due to the nuclear envelope, a double lipid bilayer reinforced by nuclear lamins (Lamin A/C and Lamin B), which provides mechanical rigidity and resistance to the osmotic, enzymatic, and physical stresses that readily disrupt the plasma membrane24,25. The nuclear lamina also preserves nuclear morphology even when the surrounding cytoplasm is severely compromised26. This makes single-nucleus RNA sequencing (snRNA-seq) a more practical and reliable alternative to single-cell RNA sequencing (scRNA-seq) for profiling atherosclerotic tissue27. By capturing transcriptional information from intact nuclei rather than whole cells, snRNA-seq circumvents the limitations imposed by poor cell viability and high debris content, enabling more accurate and comprehensive transcriptomic profiling of the plaque microenvironment18.
Therefore, in this study, we present an optimized nuclei isolation protocol specifically developed for coronary endarterectomy tissue, incorporating non-ionic detergent-based lysis and empirically adjusted lysis duration based on the degree of tissue calcification, to consistently yield high-quality nuclei with preserved structural and RNA integrity suitable for downstream snRNA-seq analysis.