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Gene Expression Analyses in Human Follicles
Published on: February 17, 2023
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High-quality single-cell transcriptomics from ovarian histological sections during folliculogenesis
Hiroki Ikeda1, Shintaro Miyao1, So Nagaoka1
1Department of Embryology, School of Medicine, Nara Medical University, Kashihara, Japan.
Life Science Alliance
|September 18, 2023
Summary
We developed DRaqL, a method for direct RNA recovery and quenching, enabling high-quality single-cell RNA sequencing from tissue sections. This technique reveals gene expression differences in ovarian cells, offering insights into oocyte development.
Area of Science:
- Molecular Biology
- Genomics
- Developmental Biology
Background:
- High-quality single-cell RNA sequencing (RNA-seq) with spatial resolution from tissue sections is technically challenging.
- Existing methods often face limitations in efficiency and applicability to various fixation methods.
Purpose of the Study:
- To develop an efficient experimental approach for high-quality single-cell RNA sequencing from tissue sections.
- To enable transcriptomic profiling from both alcohol-fixed and formalin-fixed tissues.
- To investigate the heterogeneity of the ovarian follicle transcriptome.
Main Methods:
- Development of DRaqL (direct RNA recovery and quenching for laser capture microdissection) for efficient cell lysis and direct cDNA amplification.
- Integration of DRaqL with single-cell RNA sequencing on alcohol-fixed and formalin-fixed tissue sections.
- Application of the method to mouse ovarian sections for transcriptomic analysis.
Main Results:
- DRaqL achieved transcriptomic profiling efficiency comparable to freshly dissociated cells from alcohol-fixed sections.
- Effective exon-exon junction profiling was maintained.
- Combined DRaqL with protease treatment enabled robust single-cell transcriptome analysis from formalin-fixed sections.
- Identified oocyte-specific splice isoforms and an anomaly in the size-transcriptome relationship related to oocyte growth retardation.
- Detected differentially expressed genes in granulosa cells correlated with proximity to oocytes, suggesting epigenetic and cell-cycle regulation.
Conclusions:
- DRaqL is a versatile and efficient method for high-quality single-cell RNA-seq from tissue sections.
- The approach facilitates the study of histological heterogeneity within the folliculogenic transcriptome.
- Provides new insights into germ-soma interactions and gene regulation during oocyte development.

