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A comprehensive human embryo reference tool using single-cell RNA-sequencing data
DOI:10.1038/s41592-024-02493-2.png)
摘要
En 中文
Stem cell-based embryo models offer unprecedented experimental tools for studying early human development. The usefulness of embryo models hinges on their molecular, cellular and structural fidelities to their in vivo counterparts. To authenticate human embryo models, single-cell RNA sequencing has been utilized for unbiased transcriptional profiling. However, an organized and integrated human single-cell RNA-sequencing dataset, serving as a universal reference for benchmarking human embryo models, remains unavailable. Here we developed such a reference through the integration of six published human datasets covering development from the zygote to the gastrula. Lineage annotations are contrasted and validated with available human and nonhuman primate datasets. Using stabilized Uniform Manifold Approximation and Projection, we constructed an early embryogenesis prediction tool, where query datasets can be projected on the reference and annotated with predicted cell identities. Using this reference tool, we examined published human embryo models, highlighting the risk of misannotation when relevant references are not utilized for benchmarking and authentication. This resource integrates different human embryo datasets to create a transcriptional reference map of human embryonic development from zygote to gastrula.
Keyword:
PLURIPOTENT STEM-CELLS
TROPHOBLAST
PREIMPLANTATION
DIFFERENTIATION
BLASTOCYST
REVEALS
RECONSTRUCTION
EXPRESSION
SIGNATURES
MODELS
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期刊
IF:
32.1
论文数:
7.3K
被引数:
12.7W
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引用论文
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Integrated pseudotime analysis of human pre-implantation embryo single-cell transcriptomes reveals the dynamics of lineage specification人类植入前胚胎单细胞转录组的综合假时间分析揭示了谱系规范的动态
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