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Single-cell transcriptome analysis of endometrial tissue.

K Krjutškov1, S Katayama2, M Saare3

  • 1Competence Centre on Health Technologies, Tartu 50410, Estonia Department of Biosciences and Nutrition, and Center for Innovative Medicine, Karolinska Institutet, Huddinge 141 83, Sweden kaarel.krjutshkov@ki.se shintaro.katayama@ki.se.

Human Reproduction (Oxford, England)
|February 14, 2016
PubMed
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This summary is machine-generated.

This study presents a novel pipeline for single-cell RNA sequencing of human endometrial cells, enabling detailed gene expression analysis. The developed methods allow for precise study of endometrial tissue at the single-cell level, advancing reproductive biology research.

Area of Science:

  • Reproductive Biology
  • Genomics
  • Molecular Biology

Background:

  • Single-cell transcriptome analyses are emerging for various tissues, but protocols for human endometrium are lacking.
  • Understanding endometrial cell function requires high-resolution gene expression data.

Purpose of the Study:

  • To develop and validate a comprehensive pipeline for single-cell transcriptome analysis of human endometrial stromal and epithelial cells.
  • To establish methods for biopsy, cryopreservation, disaggregation, cell sorting, library preparation, RNA sequencing, and data analysis.

Main Methods:

  • Utilized fluorescence-activated cell sorting (FACS) with CD13 and CD9 antibodies to isolate stromal and epithelial cells, respectively.
  • Applied a modern RNA sequencing (RNA-seq) protocol to analyze gene transcription from biopsied tissues without cell culturing.
Keywords:
biopsy cryopreservationclinical samplingendometrial biopsyendometrial receptivitysingle-cell FACS

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  • Compared gene expression profiles of cultured stromal cells versus uncultured biopsy cells.

    • Main Results:

    • A complete pipeline from clinical sampling to data analysis for single-cell gene expression studies was established.
    • Tissue manipulation, including disaggregation and cell sorting, was optimized to be performed within 90 minutes at low temperatures.
    • Comparison of biopsy versus cultured stromal cells revealed 5603 commonly expressed genes and 241 significantly differentially expressed genes, with gene ontology analysis highlighting cell cycle and metabolic pathways.

    Conclusions:

    • The developed methodology enables precise analysis of endometrial tissue at the single-cell level by integrating clinical biopsy with advanced laboratory and bioinformatic protocols.
    • Challenges remain in obtaining high-quality transcriptome data from single epithelial cells, necessitating further optimization.
    • Future studies require larger sample sizes and analysis across different menstrual cycle phases to fully elucidate endometrial cell dynamics.