Publications by authors named "Lingyu Cui"

Identifying gene regulatory networks (GRNs) at the resolution of single cells has long been a great challenge, and the advent of single-cell multi-omics data provides unprecedented opportunities to construct GRNs. Here, we propose a novel strategy to integrate omics datasets of single-cell ribonucleic acid sequencing and single-cell Assay for Transposase-Accessible Chromatin using sequencing, and using an unsupervised learning neural network to divide the samples with high copy number variation scores, which are used to infer the GRN in each gene block. Accuracy validation of proposed strategy shows that approximately 80% of transcription factors are directly associated with cancer, colorectal cancer, malignancy and disease by TRRUST; and most transcription factors are prone to produce multiple transcript variants and lead to tumorigenesis by RegNetwork database, respectively.

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Article Synopsis
  • * The study evaluates nine dropout imputation methods alongside eight clustering methods on 10 different scRNA-seq datasets to determine optimal combinations for improved clustering quality.
  • * Results indicate that imputation methods can enhance clustering and visualization, with performance varying based on dataset size—smaller datasets benefit from one combination, while larger datasets perform best with another.
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Critical in revealing cell heterogeneity and identifying new cell subtypes, cell clustering based on single-cell RNA sequencing (scRNA-seq) is challenging. Due to the high noise, sparsity, and poor annotation of scRNA-seq data, existing state-of-the-art cell clustering methods usually ignore gene functions and gene interactions. In this study, we propose a feature extraction method, named FEGFS, to analyze scRNA-seq data, taking advantage of known gene functions.

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Single-cell sequencing technology can not only view the heterogeneity of cells from a molecular perspective, but also discover new cell types. Although there are many effective methods on dropout imputation, cell clustering, and lineage reconstruction based on single cell RNA sequencing (RNA-seq) data, there is no systemic pipeline on how to compare two single cell clusters at the molecular level. In the study, we present a novel pipeline on comparing two single cell clusters, including calling differential gene expression, coexpression network modules, and so on.

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Alzheimer's disease (AD) is a neurodegenerative disease, mainly characterized by cognitive dysfunction and memory impairment. Due to its pathological similarities to type 2 diabetes mellitus (T2DM), such as β-amyloid deposition, oxidative stress, inflammation, disordered glucose metabolism, impaired signaling pathways of insulin and insulin-like growth factor-1 (IGF-1), we speculate that AD is another form of brain diabetes. Clarifying the relationship between T2DM and AD is important for us to better understand the exact pathological mechanisms of AD.

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With the rapid growth of the aging population, exploring the biological basis of aging and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to the occurrence and development of various age-related metabolic, nervous system, and cardiovascular diseases. In addition, aging is closely related to the occurrence and development of tumors.

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Alzheimer's disease (AD) is a progressive neurodegenerative disease that is characterized by a cascade of pathologic changes. A widely discussed theory indicates that amyloid β (Aβ) peptides are the causative agents of AD. Silibinin, a flavonoid derived from milk thistle, is well known for its hepato-protective activities and we have reported the neuroprotective effects of silibinin.

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Exposure to bisphenol A (BPA), one kind of environmental endocrine disruptors (EEDs), exerted significantly detrimental effects on neuro-endocrinological system and related disorders, such as memory dysfunction and depression. Bisphenol AF (BPAF),a newly introduced chemical structurally related to BPA, is used extensively. BPAF has stronger estrogenic activities than BPA.

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Depression is one of the most frequent psychiatric disorders of Alzheimer's disease (AD). Depression and anxiety are associated with increased risk of developing AD. Silibinin, a flavonoid derived from milk thistle (Silybum marianum), has been used as a hepato-protectant in the clinical treatment of liver diseases.

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Alzheimer's disease (AD) is a progressive, neurodegenerative disease. Accumulating evidence suggests that inflammatory response, oxidative stress and autophagy are involved in amyloid β (Aβ)-induced memory deficits. Silibinin (silybin), a flavonoid derived from the herb milk thistle, is well known for its hepatoprotective activities.

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