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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell

David B Morse1, Aleksandra M Michalowski2, Michele Ceribelli3

  • 1Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.

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|June 22, 2023
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Summary

This study introduces segmentation by exogenous perfusion (SEEP), a new method linking cell location to gene activity in 3D disease models. SEEP helps understand how spatial environments impact cell identity in cancers.

Keywords:
RNA sequencinggenomicsoncologyovarian cancerscRNA-seqsingle-cell transcriptomicsspatial transcriptomicsspatially resolved transcriptomics

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Area of Science:

  • Biotechnology
  • Genomics
  • Cancer Research

Background:

  • Single-cell RNA sequencing (scRNA-seq) is vital for cell state analysis.
  • Mapping cell states spatially in tissues is a significant challenge.
  • Existing spatial transcriptomics methods often require specialized expertise.

Purpose of the Study:

  • To develop a rapid, integrated method linking spatial proximity and environmental accessibility to transcriptional identity.
  • To analyze high-grade serous ovarian cancer (HGSOC) models using the new technique.
  • To explore how microenvironments influence cell identity within tumors.

Main Methods:

  • Segmentation by Exogenous Perfusion (SEEP) utilizes fluorescent dye diffusion gradients.
  • Dye accessibility classifies cells by radial position in 3D models.
  • Transcriptomic analysis of dissociated and sorted cells reveals regional identities.

Main Results:

  • SEEP successfully linked cell transcriptional identity with spatial location in 3D models.
  • Analysis of spheroid, organoid, and in vivo HGSOC models was performed.
  • Validated known cell state-position relationships and uncovered novel microenvironmental influences.

Conclusions:

  • SEEP provides a powerful tool for spatial transcriptomics in complex 3D models.
  • The method enhances understanding of tumor heterogeneity and microenvironment interactions.
  • SEEP offers new insights into the spatial regulation of cell identity in cancer.