Integration of Spatial Transcriptomics with Histology (Online CE Course)

Author: Audrey T. Nguyen, MSDS, HT(ASCP)
Reviewer: Brandon Possum, HT(ASCP)

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Continuing Education Credits

P.A.C.E.® Contact Hours (acceptable for AMT, ASCP, and state recertification): 1 hour(s)
Approved through 6/30/2028
Approved through 6/30/2028

Objectives

  • Define transcriptomics and describe how RNA expression analysis is used to evaluate gene activity within tissues.
  • Explain the limitations of traditional transcriptomic methods, including the loss of spatial and morphologic context during tissue homogenization.
  • Describe the purpose and clinical significance of spatial transcriptomics in modern pathology and research applications.
  • Differentiate between imaging-based and sequencing-based spatial transcriptomic platforms.
  • Explain how histology and H&E staining provide structural and morphologic context for spatial transcriptomic analysis.

Course Outline

Click on the links below to preview selected pages from this course.
  • Foundations of Transcriptomics
      • What is Transcriptomics?
      • Limitations of Transcriptomics
      • Why do different cell types within the body produce different RNA expression patterns despite containing essentially the same DNA?
      • True or False: Transcriptomics is used to determine the genetic makeup of a tissue and not to evaluate gene activity or cellular function.
      • Spatial Transcriptomics: Mapping Gene Expression in Visual Context
      • Spatial transcriptomics does not:
  • Integration of Histology with Spatial Transcriptomics
  • Spatial Transcriptomic Platforms and Instrumentation
  • Histology Workflow for Spatial Transcriptomics
      • Histology Workflow for Spatial Transcriptomics
      • Overview of Histology Workflow
      • True or False: In order to study the genetic activities of the tissue using spatial transcriptomic technology, the tissue section should not be a froz...
      • True or False: A spatial transcriptomic image can be paired with its corresponding standalone H&E image, or a spatial transcriptomic image can be ...
      • Overlay of Spatial Transcriptomics with H&E Standard Workflow
      • Which of the following is the primary purpose of image registration in spatial transcriptomic workflows?
      • What is the role of fiducial markers in spatial transcriptomic image alignment?
  • References
      • References

Additional Information

Level of Instruction: Intermediate to Advanced
Intended Audience: Histotechnologists, histotechnicians, pathologists' assistants, medical laboratory scientists, medical laboratory technicians, laboratory supervisors, and laboratory managers. This course is also appropriate for HTL and HT students, MLS and MLT students, cytologists, and pathology residents.
Author Information: Audrey T. Nguyen, MS Data Science at Eastern University, HT(ASCP), has approximately 20 years of histology experience working in hospitals, diagnostic laboratories, and the pharmaceutical industry. She is currently working at a pharmaceutical company in California specializing in histology, immunohistochemistry, and biomarkers for diagnosing and researching diseases. Her histology and immunohistochemistry work supporting research and development in skin biology has also been published in journals and other publications. 
The author has no conflict of interest to disclose.
Reviewer Information: Brandon Possum, HT(ASCP), is a histotechnologist with over a decade of specialized experience in Mohs histology at Memorial Sloan Kettering Cancer Center. He is board-certified by the American Society for Clinical Pathology (ASCP) and holds a New York State Histotechnician (HT) license. Brandon began his career with a strong foundation in traditional histology through his formal college education before advancing into the specialized field of Mohs frozen sectioning. In addition to his clinical work, Brandon is actively engaged in professional education. He regularly participates in speaking engagements and educational sessions focused on Mohs histology.
Course Description: This course provides an introduction to the integration of spatial transcriptomics with histology, focusing on how gene expression data can be correlated with tissue morphology and architecture. Learners will explore spatial transcriptomic platforms, histology workflows, image alignment processes, and the clinical and research applications of combining molecular analysis with H&E interpretation.

Figure 7. H&E-stained section alongside gene expression (ST) of high-grade serous ovarian carcinoma


Figure 9. H&E image of FFPE-preserved breast cancer tissue alongside the spatial gene expression profiles determined of the unknown triple-positive region


Figure 2. Transcriptomic process in achieving gene expression and regulation analysis