Publications by authors named "Guoyou He"

The involvement of gut microbiota in host physiological activities is crucial, yet the high sparsity of microbiome data, marked by numerous zeros in count matrices, presents huge analytical challenges. To overcome this, we developed mbSparse, an imputation algorithm that leverages deep learning rather than traditional predefined count distributions. Utilizing a feature autoencoder for learning sample representations and a conditional variational autoencoder (CVAE) for data reconstruction, mbSparse effectively integrates these processes to enhance imputation.

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Biomedical ontologies, such as Gene Ontology (GO), Disease Ontology (DO), and the Human Phenotype Ontology (HPO), have been extensively applied to characterize molecular roles and their semantic relationships in biomedical research and clinical practice. Although numerous algorithms have been developed to quantify relationships between ontology terms or to explore molecular functions, the absence of a comprehensive tool to integrate these algorithms has limited effective ontology applications. To address this, we developed OntoTiger, a platform of Ontology-based application Tools for InteGrativE biomedical exploRation.

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Background: Fibrosis refers to abnormal deposition of extracellular matrix, which leads to organ dysfunction. Metabolic alterations, especially enhanced glycolysis and suppressed fatty acid oxidation, are recognized as an essential pathogenic process of fibrosis. Recently, several reports indicate that the changes in microbiota composition are associated with metabolic disorders, suggesting microbes may contribute to organ fibrosis by regulating metabolic processes.

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Article Synopsis
  • The gut microbiota plays a crucial role in maintaining the host's physiological functions through the metabolites it produces.
  • In 2022, the gutMGene database was launched to help researchers understand the relationship between gut microbes, their metabolites, and host genes, categorizing these relationships as causal or correlational.
  • The latest version, gutMGene v2.0, features an enhanced web interface for better user experience and includes metabolic reconstructions from human and mouse gut microbial genomes, available for free at http://bio-computing.hrbmu.edu.cn/gutmgene.
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  • Ovarian cancer is a serious disease and is the third most common type of cancer in women, with a high risk of death.
  • Researchers found that certain germs in ovarian cancer tissues might affect how the disease develops and how the body's immune system works.
  • In their study, they discovered specific types of bacteria and germs that were more common in cancer tissues compared to normal tissues and that these germs could influence important genes related to cancer progression.
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Summary: We developed the eccDB database to integrate available resources for extrachromosomal circular DNA (eccDNA) data. eccDB is a comprehensive repository for storing, browsing, searching, and analyzing eccDNAs from multispecies. The database provides regulatory and epigenetic information on eccDNAs, with a focus on analyzing intrachromosomal and interchromosomal interactions to predict their transcriptional regulatory functions.

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  • microbioTA is a new online tool that helps people learn about microbes found in different tissues, especially those related to cancer.
  • It collects and organizes data from many studies, making it easier for researchers to understand how these microbes affect cancer.
  • The platform allows users to explore and download information about the amount of microbes in various tissues, helping to advance research in cancer-related microbiomes.
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