InquiryCardiovascular disease is one of the leading causes of morbidity and mortality worldwide. However, despite the relentless efforts of researchers in recent decades, the complex structure, the constantly beating nature, and the wide range of abnormalities and disorders of the heart continue to make it difficult to understand the molecular mechanisms underlying normal heart development, homeostasis, and disease in vivo.
The scRNA-seq approach involves dissociation of tissues, which can disrupt extracellular junctions and thus connections between individual cells, resulting in loss of information about individual cellular localization and potentially incomplete interpretation. Spatial omics can be considered as a molecular profiling method to compensate for the lack of spatial information in scRNA-seq. And as expected, it provides additional insights into the functioning of healthy and pathological hearts.
How we can provide resolution of cardiovascular disease through spatial omics
Since CD Genomics introduced scRNA-seq and spatial omics (e.g., spatially resolved transcriptomics) technologies, this combinatorial approach has become a powerful tool for identifying and classifying subpopulations of cells associated with cardiovascular health/disease, characterizing rare or small subpopulations of cells, and dynamically tracking cells along cellular stages during differentiation. Allowing our clients to understand cardiovascular development and pathogenesis through the solutions we offer, addressing the subtle differences between heterogeneous cardiomyocytes.
Optional technical approaches
- SMART-seq2. Analyzes full-length transcripts with high cDNA library yields and long average individual cell lengths, supporting comprehensive SNP and mutation analysis.
- 10x Genomics. Capture more cells.
- In-situ sequencing (ISS). Enables cellular-level in situ localization of genes in single cells, which can be used for cellular-level mapping of organ development by fluorescence imaging-based sequencing methods.
Our advantages
We do it better
- Multiplexing capabilities with varying degrees of coverage, sensitivity, and spatial transcriptome analysis.
- Efficient isolation and capture of a limited number of biomolecules using different high-throughput spatial-omics methods.
- Combines high-throughput capabilities with sample size flexibility, allowing high-throughput methods at a low cost per cell.
- Allows for more cells and multiple samples in parallel, identifying new/rare cell subpopulations while maintaining sensitivity and robustness.
- Compatible with fixed cells and nuclei for efficient sample multiplexing and library preparation without tedious sample preparation and processing.
- Features imaging software for identifying contaminating bimodal peaks and measuring fluorescent reporter genes.
- A more scalable approach to cardiovascular disease analysis without sacrificing flexibility.
