High-quality single-cell transcriptomics from ovarian histological sections during folliculogenesis

The Differentiation Fate of Granulosa Cells and the Regulatory Mechanism in Ovary

Granulosa cells (GCs) are important drives of the reproductive process, not only the supporting cells for nutrition, but also cells with endocrine functions. Their differentiation and development parallel the entire menstruation period and even during pregnancy, making it tightly linked to the fate of the follicle. To elucidate the underlying mechanism is of great significance for related researches. The life course of GCs is briefly divided into five stages, from epithelial cells to pre-granulosa cells, GCs, mural and cumulus cells, lutein cells, and eventually disappear. A wide variety of genes and transcription factors participate in the regulation of different stages, and more importantly, various hormones secreted by the pituitary gland and GCs themselves play a leading role. These endogenous and exogenous signalling molecules interact to form a cross-linked communication network, promoting the development of GCs. Together with oocytes, theca cells and other functional cells in the ovary, GCs drive one of the most vital biological processes in women.

Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells

The progression of colorectal cancer is strongly influenced by environmental and genetic conditions. One of the key factors is tumor heterogeneity which is extensively studied by cfDNA and bulk sequencing methods; however, we lack knowledge regarding its effects at the single-cell level. Motivated by this, we aimed to employ an end-to-end single-cell sequencing workflow from tissue-derived sample isolation to exome sequencing. Our main goal was to investigate the heterogeneity patterns by laser microdissecting samples from different locations of a tissue slide. Moreover, by studying healthy colon control, tumor-associated normal, and colorectal cancer tissues, we explored tissue-specific heterogeneity motifs. For completeness, we also compared the performance of the whole-exome bulk, cfDNA, and single-cell sequencing methods based on variation at the level of a single nucleotide.

Protocol for high-quality single-cell RNA-seq from tissue sections with DRaqL

Single-cell RNA sequencing (scRNA-seq) combined with laser capture microdissection (LCM) offers a versatile framework for comprehensive transcriptomics from tissue sections. Here, we present a detailed protocol for DRaqL (direct RNA recovery and quenching for LCM) in combination with Smart-seq2 (DRaqL-Smart-seq2), which enables high-quality RNA sequencing for single cells obtained from alcohol-fixed murine ovarian sections. Additionally, we provide an optional procedure for scRNA-seq from formalin-fixed sections (DRaqL-Protease-Smart-seq2). We outline key steps for cell lysis, cDNA amplification, and sequencing library preparation. For complete details on the use and execution of this protocol, please refer to Ikeda et al.1.

Single-cell profiling reveals transcriptome dynamics during bovine oocyte growth

BACKGROUND

Mammalian follicle development is characterized by extensive changes in morphology, endocrine responsiveness, and function, providing the optimum environment for oocyte growth, development, and resumption of meiosis. In cattle, the first signs of transcription activation in the oocyte are observed in the secondary follicle, later than during mouse and human oogenesis. While many studies have generated extensive datasets characterizing gene expression in bovine oocytes, they are mostly limited to the analysis of fully grown and matured oocytes. The aim of the present study was to apply single-cell RNA sequencing to interrogate the transcriptome of the growing bovine oocyte from the secondary follicle stage through to the mid-antral follicle stage.

RESULTS

Single-cell RNA-seq libraries were generated from oocytes of known diameters (< 60 to > 120 μm), and datasets were binned into non-overlapping size groups for downstream analysis. Combining the results of weighted gene co-expression network and Trendy analyses, and differently expressed genes (DEGs) between size groups, we identified a decrease in oxidative phosphorylation and an increase in maternal -genes and transcription regulators across the bovine oocyte growth phase. In addition, around 5,000 genes did not change in expression, revealing a cohort of stable genes. An interesting switch in gene expression profile was noted in oocytes greater than 100 μm in diameter, when the expression of genes related to cytoplasmic activities was replaced by genes related to nuclear activities (e.g., chromosome segregation). The highest number of DEGs were detected in the comparison of oocytes 100-109 versus 110-119 μm in diameter, revealing a profound change in the molecular profile of oocytes at the end of their growth phase.

CONCLUSIONS

The current study provides a unique dataset of the key genes and pathways characteristic of each stage of oocyte development, contributing an important resource for a greater understanding of bovine oogenesis.