101 research outputs found

    Optimized protocol to derive germline stem-cell-like cells from mouse pluripotent stem cells

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    Male germ-cell development comprises primordial germ-cell (PGC) development, spermatogonium differentiation, and ensuing spermatogenesis. We present a step-by-step protocol for differentiation of mouse pluripotent stem cells (PSCs) into germline stem-cell-like cells (GSCLCs) via PGC-like cell and spermatogonium-like cell intermediates. The differentiation protocol has higher fidelity than our previous protocol. Upon transplantation into testes in vivo or culture for testis transplants, GSCLCs robustly contribute to spermatogenesis, providing a paradigm for PSC-based reconstitution of mammalian male germ-cell development

    A Signaling Principle for the Specification of the Germ Cell Lineage in Mice

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    SummarySpecification of the germ cell lineage is vital to development and heredity. In mice, the germ cell fate is induced in pluripotent epiblast cells by signaling molecules, yet the underlying mechanism remains unknown. Here we demonstrate that germ cell fate in the epiblast is a direct consequence of Bmp4 signaling from the extraembryonic ectoderm (ExE), which is antagonized by the anterior visceral endoderm (AVE). Strikingly, Bmp8b from the ExE restricts AVE development, thereby contributing to Bmp4 signaling. Furthermore, Wnt3 in the epiblast ensures its responsiveness to Bmp4. Serum-free, defined cultures revealed that, in response to Bmp4, competent epiblast cells uniformly expressed key transcriptional regulators Blimp1 and Prdm14 and acquired germ-cell properties, including genome-wide epigenetic reprogramming, in an orderly fashion. Notably, the induced cells contributed to both spermatogenesis and fertility of offspring. By identifying a signaling principle in germ cell specification, our study establishes a robust strategy for reconstituting the mammalian germ cell lineage in vitro

    An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis

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    A systems-level understanding of a small but essential population of cells in development or adulthood (e.g. somatic stem cells) requires accurate quantitative monitoring of genome-wide gene expression, ideally from single cells. We report here a strategy to globally amplify mRNAs from single cells for highly quantitative high-density oligonucleotide microarray analysis that combines a small number of directional PCR cycles with subsequent linear amplification. Using this strategy, both the representation of gene expression profiles and reproducibility between individual experiments are unambiguously improved from the original method, along with high coverage and accuracy. The immediate application of this method to single cells in the undifferentiated inner cell masses of mouse blastocysts at embryonic day (E) 3.5 revealed the presence of two populations of cells, one with primitive endoderm (PE) expression and the other with pluripotent epiblast-like gene expression. The genes expressed differentially between these two populations were well preserved in morphologically differentiated PE and epiblast in the embryos one day later (E4.5), demonstrating that the method successfully detects subtle but essential differences in gene expression at the single-cell level among seemingly homogeneous cell populations. This study provides a strategy to analyze biophysical events in medicine as well as in neural, stem cell and developmental biology, where small numbers of distinctive or diseased cells play critical roles

    Non-human primates as a model for human development.

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    Human development has been studied for over a century, but the molecular mechanisms underlying human embryogenesis remain largely unknown due to technical difficulties and ethical issues. Accordingly, mice have been used as a model for mammalian development and studied extensively to infer human biology based on the conservation of fundamental processes between the two species. As research has progressed, however, species-specific differences in characteristics between rodents and primates have become apparent. Non-human primates (NHPs) have also been used for biomedical research, and are now attracting attention as a model for human development. Here, we summarize primate species from the evolutionary and genomic points of view. Then we review the current issues and progress in gene modification technology for NHPs. Finally, we discuss recent studies on the early embryogenesis of primates and future perspectives

    Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis

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    1細胞データ解析の精度が飛躍的に向上する前処理法の開発. 京都大学プレスリリース. 2022-08-09.Clearing the mist hiding the genome. 京都大学プレスリリース. 2022-08-09.Single-cell RNA sequencing (scRNA-seq) can determine gene expression in numerous individual cells simultaneously, promoting progress in the biomedical sciences. However, scRNA-seq data are high-dimensional with substantial technical noise, including dropouts. During analysis of scRNA-seq data, such noise engenders a statistical problem known as the curse of dimensionality (COD). Based on high-dimensional statistics, we herein formulate a noise reduction method, RECODE (resolution of the curse of dimensionality), for high-dimensional data with random sampling noise. We show that RECODE consistently resolves COD in relevant scRNA-seq data with unique molecular identifiers. RECODE does not involve dimension reduction and recovers expression values for all genes, including lowly expressed genes, realizing precise delineation of cell fate transitions and identification of rare cells with all gene information. Compared with representative imputation methods, RECODE employs different principles and exhibits superior overall performance in cell-clustering, expression value recovery, and single-cell–level analysis. The RECODE algorithm is parameter-free, data-driven, deterministic, and high-speed, and its applicability can be predicted based on the variance normalization performance. We propose RECODE as a powerful strategy for preprocessing noisy high-dimensional data

    stella Is a Maternal Effect Gene Required for Normal Early Development in Mice

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    Abstractstella is a novel gene specifically expressed in primordial germ cells, oocytes, preimplantation embryos, and pluripotent cells [1, 2]. It encodes a protein with a SAP-like domain [3] and a splicing factor motif-like structure, suggesting possible roles in chromosomal organization or RNA processing. Here, we have investigated the effects of a targeted mutation of stella in mice. We show that while matings between heterozygous animals resulted in the birth of apparently normal stella null offspring, stella-deficient females displayed severely reduced fertility due to a lack of maternally inherited Stella-protein in their oocytes. Indeed, we demonstrate that embryos without Stella are compromised in preimplantation development and rarely reach the blastocyst stage. stella is thus one of few known mammalian maternal effect genes [4–9], as the phenotypic effect on embryonic development is mainly a consequence of the maternal stella mutant genotype. Furthermore, we show that STELLA that is expressed in human oocytes [10] is also expressed in human pluripotent cells and in germ cell tumors. Interestingly, human chromosome 12p, which harbours STELLA, is consistently overrepresented in these tumors [11]. These findings suggest a similar role for STELLA during early human development as in mice and a potential involvement in germ cell tumors
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