Publications by authors named "Liduo Yin"

Article Synopsis
  • - The study explores how epigenetic changes contribute to brain development and gene regulation in different types of neurons, specifically excitatory and inhibitory neurons.
  • - Researchers created epigenetic maps and found that specific histone modifications linked to neuron types are concentrated in regions known as super enhancers rich in EGR1 motifs.
  • - Results suggest that EGR1 binding in excitatory neurons primarily occurs in postnatal stages, while in inhibitory neurons, binding sites are accessible earlier in embryonic development, indicating different timing in gene regulation.
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Folate, an essential vitamin B9, is crucial for diverse biological processes, including neurogenesis. Folic acid (FA) supplementation during pregnancy is a standard practice for preventing neural tube defects (NTDs). However, concerns are growing over the potential risks of excessive maternal FA intake.

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Folate, an essential vitamin B9, is crucial for diverse biological processes including neurogenesis. Folic acid (FA) supplementation during pregnancy is a standard practice for preventing neural tube defects (NTDs). However, concerns are growing over the potential risks of excessive maternal FA intake.

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The brain is a highly complex organ consisting of numerous types of cells with ample diversity at the epigenetic level to achieve distinct gene expression profiles. During neuronal cell specification, transcription factors (TFs) form regulatory modules with chromatin remodeling proteins to initiate the cascade of epigenetic changes. Currently, little is known about brain epigenetic regulatory modules and how they regulate gene expression in a cell-type specific manner.

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Background: Numerous cell types can be identified within plant tissues and animal organs, and the epigenetic modifications underlying such enormous cellular heterogeneity are just beginning to be understood. It remains a challenge to infer cellular composition using DNA methylomes generated for mixed cell populations. Here, we propose a semi-reference-free procedure to perform virtual methylome dissection using the nonnegative matrix factorization (NMF) algorithm.

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