Publications by authors named "Xingxin He"

Background: Microsatellites are increasingly realized to have biological significance in human genome and health in past decades, the assembled complete reference sequence of human genome T2T-CHM13 brought great help for a comprehensive study of short tandem repeats in the human genome.

Results: Microsatellites density landscapes of all 24 chromosomes were built here for the first complete reference sequence of human genome T2T-CHM13. These landscapes showed that short tandem repeats (STRs) are prone to aggregate characteristically to form a large number of STRs density peaks.

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Purpose: To introduce a new method for generalized RF pulse design using physics-guided self-supervised learning (GPS), which uses the Bloch equations as the guiding physics model.

Theory And Methods: The GPS framework consists of a neural network module and a physics module, where the physics module is a Bloch simulator for MRI applications. For RF pulse design, the neural network module maps an input target profile to an RF pulse, which is subsequently loaded into the physics module.

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Semi-supervised semantic segmentation aims to learn a semantic segmentation model via limited labeled images and adequate unlabeled images. The key to this task is generating reliable pseudo labels for unlabeled images. Existing methods mainly focus on producing reliable pseudo labels based on the confidence scores of unlabeled images while largely ignoring the use of labeled images with accurate annotations.

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Accurate retinal fluid segmentation on Optical Coherence Tomography (OCT) images plays an important role in diagnosing and treating various eye diseases. The art deep models have shown promising performance on OCT image segmentation given pixel-wise annotated training data. However, the learned model will achieve poor performance on OCT images that are obtained from different devices (domains) due to the domain shift issue.

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Deep learning's great success in image classification is heavily reliant on large-scale annotated datasets. However, obtaining labels for optical coherence tomography (OCT) data requires the significant effort of professional ophthalmologists, which hinders the application of deep learning in OCT image classification. In this paper, we propose a self-supervised patient-specific features learning (SSPSF) method to reduce the amount of data required for well OCT image classification results.

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OCT fluid segmentation is a crucial task for diagnosis and therapy in ophthalmology. The current convolutional neural networks (CNNs) supervised by pixel-wise annotated masks achieve great success in OCT fluid segmentation. However, requiring pixel-wise masks from OCT images is time-consuming, expensive and expertise needed.

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Recently, automatic diagnostic approaches have been widely used to classify ocular diseases. Most of these approaches are based on a single imaging modality (e.g.

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Apoptosis of activated hepatic stellate cells (HSCs) has been verified as a potential mechanism to aid in hepatic fibrosis remission. Earlier research suggests that Septin4_i1 may sensitize hepatocellular carcinoma cells to serum starvation-induced apoptosis. Here, we aimed to investigate the effect of Septin4_i1 on HSC apoptosis and explore the associated signaling pathways.

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Hepatic stellate cells play a key role in the development of hepatic fibrosis. Activated hepatic stellate cells can be reversed to a quiescent-like state or apoptosis can be induced to reverse fibrosis. Some studies have recently shown that Schistosoma mansoni eggs could suppress the activation of hepatic stellate cells and that soluble egg antigens from schistosome eggs could promote immunocyte apoptosis.

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Septin4, a member of polymerizing GTP-binding proteins family, is reported to be involved in cytoskeletal organization in mitosis, apoptosis, fibrosis, and other cellular processes. Since various Septin4 expression patterns were reported in different diseases, this study aimed to investigate Septin4 expression in human LX-2 cell line stimulated by lipopolysaccharides (LPS) and attempted to clarify the relationship between Septin4 and hepatic inflammatory injury and fibrosis. In this subject, human stellate cell line LX-2 was stimulated by LPS.

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Objective And Design: The carbohydrate moieties of glycoprotein are associated with some inflammatory diseases by affecting a wide range of biological functions of cells. This study aimed to investigate the role of β-1,4-galactosyltransferase-I (β-1,4-GalT-I) in adhesion of Schwann cells during inflammation.

Subjects: A rat Schwann cell line, RSC 96 was used.

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Src-suppressed C kinase substrate (SSeCKS) is involved in inflammation in the central nervous system (CNS), and plays a role in control of cell signaling and cytoskeletal arrangement. However, the expression and function of SSeCKS and its function in multiple sclerosis (MS) and its common animal model, experimental autoimmune encephalomyelitis (EAE) remained to be elucidated. In the present study, we first reported that SSeCKS was remarkably increased in astrocytes of EAE rats in vivo.

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Schwann cells proliferation is the main characterize of kinds PNS inflammation diseases. It has been well documented that cyclin D3 /CDK11(p58) complex inhibits cell function through multiple mechanisms, but the mechanism of cyclin D3/CDK11(p58) complex exerts its repressive role in the Schwann cells proliferation remains to be identified. In the present investigation, we demonstrated that the expression of CDK11(p58) were upregulated in the inflammation caused by LPS, a main part of bacteria.

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In bacterial-induced peripheral nervous system (PNS) inflammation, Schwann cells (SCs) are activated, producing inducible nitric oxide synthase (iNOS), contributed to the pathogenesis of demyelinating disease, such as multiple sclerosis. Peroxisome proliferator-activated receptor-gamma (PPAR-gamma) has been shown to play a protective role in cellular inflammatory responses. Here we showed that LPS-induced iNOS biosynthesis was in a concentration and time-dependent manner.

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beta4 Galactosylation of glycoproteins is one of the most important post-translational modifications. Recent studies have demonstrated that aberrant galactosylation associates with some inflammation diseases. beta-1,4-galactosyltransferase-I (beta-1,4-GalT-I), which transfers galactose to the terminal N-acetylglucosamine of N- and O-linked glycans in a beta-1,4- linkage, considered to be the major galactosyltransferse among the seven members of the subfamily responsible for beta4 galactosylation.

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