Spatial Omics Solutions for Stem Cell Research

Spatial Omics Solutions for Stem Cell Research

Stem cells are cell populations with the potential for self-renewal, high proliferation, and multidirectional differentiation. That is, these cells can maintain the size of their cell population through cell division, and at the same time can further differentiate into a variety of different tissue cells, thus constituting a variety of complex tissues and organs of the body.

Stem cell biology is involved in almost all fields of life sciences and biomedicine. In addition to its significance in cell therapy, tissue and organ transplantation, and gene therapy, it also has an important impact in the fields of new gene discovery and gene function analysis, developmental biology modeling, new drug development and efficacy, and toxicity assessment. Technological advances in the sensitivity, resolution, and scale of spatially resolved histology have provided further insights to unravel stem cell biology.

How we use spatial omics solutions to advance stem cell research

For stem cell research, CD Genomics utilizes spatial-omics technologies (LCM-seq) as well as customized methodologies to explain cellular interactions in space and how they regulate cell fate decisions in the context of normal development and disease, among other things. We offer solutions based on spatial omics technologies that attempt to elucidate stem cell populations, characterize stem cell markers, and identify signaling pathways secreted by stem cells.

The five clusters form reproducible spatial patterns in the dorsal neural tube.Figure 1. The five clusters form reproducible spatial patterns in the dorsal neural tube. (Lignell, A., et al., 2017)

Wide range of applications

  • Formation, self-renewal, differentiation, and identification of physiological and pathological adult stem cells.
  • The role of stem cells in embryonic development, tissue and organ building, and maintenance, as well as in disease development and prognosis.
  • Research on targeted diagnosis, targeted therapy, and prognostic techniques and protocols based on stem cells in diseases.
  • Epidermal stem cell labeling, neural stem cell differentiation, regulatory information capture, etc.

Technology features and advantages

  • Ability to perform spatial transcriptional analysis of complex tissue samples at single-cell resolution.
  • Ability to rapidly and accurately localize cell-specific RNA transcripts to serve as markers for stem cell populations.
  • Capable of systematically mapping the molecular, cellular, and spatial composition of different stem cell ecological niches.
  • Spatial characterization of stem cell ecotopes to reveal markers of stem cell maintenance and regeneration.

We do it better

CD Genomics meets the research needs of our customers for identifying, characterizing, and localizing stem cell populations and detecting stem cell markers. In addition, we can identify long-stranded non-coding RNA in stem cells, and we can quantify and multiplex low copy number genes with single transcript level sensitivity. By combining multiplex gene expression with spatial information, we provide our clients with biological insights into the ecological niches of different stem cells in a given tissue.


  1. Lignell, A., et al., (2017). "Identification of a neural crest stem cell niche by Spatial Genomic Analysis." Nature Communications. 8, 1830.
For research use only, not intended for any clinical use.

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