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1.
Dev Biol ; 502: 20-37, 2023 10.
Artigo em Inglês | MEDLINE | ID: mdl-37423592

RESUMO

The mechanism by which transcription factor (TF) network instructs cell-type-specific transcriptional programs to drive primitive endoderm (PrE) progenitors to commit to parietal endoderm (PE) versus visceral endoderm (VE) cell fates remains poorly understood. To address the question, we analyzed the single-cell transcriptional signatures defining PrE, PE, and VE cell states during the onset of the PE-VE lineage bifurcation. By coupling with the epigenomic comparison of active enhancers unique to PE and VE cells, we identified GATA6, SOX17, and FOXA2 as central regulators for the lineage divergence. Transcriptomic analysis of cXEN cells, an in vitro model for PE cells, after the acute depletion of GATA6 or SOX17 demonstrated that these factors induce Mycn, imparting the self-renewal properties of PE cells. Concurrently, they suppress the VE gene program, including key genes like Hnf4a and Ttr, among others. We proceeded with RNA-seq analysis on cXEN cells with FOXA2 knockout, in conjunction with GATA6 or SOX17 depletion. We found FOXA2 acts as a potent suppressor of Mycn while simultaneously activating the VE gene program. The antagonistic gene regulatory activities of GATA6/SOX17 and FOXA2 in promoting alternative cell fates, and their physical co-bindings at the enhancers provide molecular insights to the plasticity of the PrE lineage. Finally, we show that the external cue, BMP signaling, promotes the VE cell fate by activation of VE TFs and repression of PE TFs including GATA6 and SOX17. These data reveal a putative core gene regulatory module that underpins PE and VE cell fate choice.


Assuntos
Endoderma , Redes Reguladoras de Genes , Proteína Proto-Oncogênica N-Myc/genética , Diferenciação Celular/genética , Fatores de Transcrição/genética , Regulação da Expressão Gênica no Desenvolvimento/genética
2.
Dev Growth Differ ; 64(6): 297-305, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35848281

RESUMO

Early embryonic cell fates are specified through coordinated integration of transcription factor activities and epigenetic states of the genome. Foxh1 is a key maternal transcription factor controlling the mesendodermal gene regulatory program. Proteomic interactome analyses using FOXH1 as a bait in mouse embryonic stem cells revealed that FOXH1 interacts with PRC2 subunits and HDAC1. Foxh1 physically interacts with Hdac1, and confers transcriptional repression of mesendodermal genes in Xenopus ectoderm. Our findings reveal a central role of Foxh1 in coordinating the chromatin states of the Xenopus embryonic genome.


Assuntos
Cromatina , Fatores de Transcrição Forkhead , Regulação da Expressão Gênica no Desenvolvimento , Proteínas de Xenopus , Animais , Cromatina/genética , Fatores de Transcrição Forkhead/genética , Camundongos , Proteômica , Proteínas de Xenopus/genética , Proteínas de Xenopus/metabolismo , Xenopus laevis/genética
3.
Sci Rep ; 9(1): 13206, 2019 09 13.
Artigo em Inglês | MEDLINE | ID: mdl-31519916

RESUMO

Development of quantitative, safe and rapid techniques for assessing embryo quality provides significant advances in Assisted Reproductive Technologies (ART). Instead of assessing the embryo quality by the standard morphologic evaluation, we apply the phasor-FLIM (Fluorescence Lifetime Imaging Microscopy) method to capture endogenous fluorescent biomarkers of pre-implantation embryos as a non-morphological caliber for embryo quality. Here, we identify, under hypoxic and non-hypoxic conditions, the unique spectroscopic trajectories at different stages of mouse pre-implantation development, which is referred to as the developmental, or "D-trajectory", that consists of fluorescence lifetime from different stages of mouse pre-implantation embryos. The D-trajectory correlates with intrinsic fluorescent species from a distinctive energy metabolism and oxidized lipids, as seen with Third Harmonic Generation (THG) that changes over time. In addition, we have defined a non-morphological Embryo Viability Index (EVI) to distinguish pre-implantation embryo quality using the Distance Analysis (DA), a machine learning algorithm to process the fluorescence lifetime distribution patterns. We show, under our experimental conditions, that the phasor-FLIM approach provides a much-needed non-invasive quantitative technology for identifying healthy embryos at the early compaction stage with 86% accuracy. The DA and phasor-FLIM method may provide the opportunity to improve implantation success rates for in vitro fertilization clinics.


Assuntos
Blastocisto/citologia , Blastocisto/fisiologia , Microscopia de Fluorescência/métodos , Animais , Técnicas de Cultura Embrionária , Implantação do Embrião , Desenvolvimento Embrionário , Feminino , Glicólise , Lasers , Aprendizado de Máquina , Camundongos Endogâmicos C57BL , Fosforilação Oxidativa , Espécies Reativas de Oxigênio/metabolismo , Estresse Fisiológico , Imagem com Lapso de Tempo/métodos
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