Publications by authors named "Yicheng Gao"

Lysyl oxidase (LOX) family enzymes play a pivotal role in extracellular matrix (ECM) remodeling and tissue homeostasis, and have evolved diverse functions in vertebrate immunity and metabolism. However, the evolutionary trajectory of these multifunctional roles-particularly in jawless vertebrates-remains obscure. Here, we investigate LOXL3 in the lamprey (Lethenteron reissneri), a jawless vertebrate that retains ancestral features of early vertebrate evolution.

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Conducting disentanglement learning on single-cell omics data offers a promising alternative to traditional black-box representation learning by separating the semantic concepts embedded in a biological process. We present CausCell, which incorporates the factual information about causal relationships among disentangled concepts within a diffusion model to generate more reliable disentangled cellular representations, with the aim of increasing the explainability, generalizability and controllability of single-cell data, including spatial-temporal omics data, relative to those of the existing black-box representation learning models. Two quantitative evaluation scenarios, i.

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Objectives: Pregnant women had a large demand for diagnosis and treatment, but the clinical research was not sufficient, and there were many barriers for pregnant women to participate in clinical research. This study aimed to systematically identify these barriers and facilitators, map them with Theoretical Domains Framework (TDF) and Behavior Change Techniques (BCTs) to inform the development of interventions promoting pregnant women's involvement in clinical research.

Methods: This was a mixed-methods systematic review.

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Article Synopsis
  • Single-cell perturbation sequencing (scPerturbation) techniques, like Perturb-seq and sci-Plex, allow researchers to analyze biological system changes at a very detailed level by combining single-cell methods with traditional bulk screening.
  • Despite the advancements in these techniques, there has been a lack of dedicated databases for researchers to explore scPerturbation data effectively.
  • PerturBase has been created to fill this gap, offering a comprehensive database with 122 datasets from various studies, including extensive analysis features such as quality control and gene expression insights, all presented in a user-friendly and interactive format.
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Article Synopsis
  • Understanding how cells respond to changes in genes is crucial for many medical fields, but there are challenges in predicting outcomes from single or multiple genetic changes across different cell types.
  • The research introduces an AI method called STAMP, which breaks down the prediction of genetic outcomes into three manageable tasks: finding genes that change after perturbation, determining how they change, and measuring the extent of those changes.
  • STAMP shows significant improvements over previous methods, including the ability to identify important regulatory genes and pathways, even with small sample sizes, and to uncover detailed interactions among genes.
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Determining correlations between molecules at various levels is an important topic in molecular biology. Large language models have demonstrated a remarkable ability to capture correlations from large amounts of data in the field of natural language processing as well as image generation, and correlations captured from data using large language models can also be applicable to solving a wide range of specific tasks, hence large language models are also referred to as foundation models. The massive amount of data that exists in the field of molecular biology provides an excellent basis for the development of foundation models, and the recent emergence of foundation models in the field of molecular biology has really pushed the entire field forward.

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The metabotropic glutamate receptor (mGluR, GRM) family is involved in multiple signaling pathways and regulates neurotransmitter release. However, the evolutionary history, distribution, and function of the mGluRs family in lampreys have not been determined. Therefore, we identified the mGluRs gene family in the genome of Lethenteron reissneri, which has been conserved throughout vertebrate evolution.

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Single-cell RNA sequencing (scRNA-seq) and T cell receptor sequencing (TCR-seq) are pivotal for investigating T cell heterogeneity. Integrating these modalities, which is expected to uncover profound insights in immunology that might otherwise go unnoticed with a single modality, faces computational challenges due to the low-resource characteristics of the multimodal data. Herein, we present UniTCR, a novel low-resource-aware multimodal representation learning framework designed for the unified cross-modality integration, enabling comprehensive T cell analysis.

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Article Synopsis
  • - The study analyzed knee osteoarthritis (KOA) clinical practice guidelines (CPGs) to identify and summarize research priorities, aiming to aid guideline developers and clinicians in their future work.
  • - A systematic review of 41 CPGs published between 2017 and 2022 was conducted, revealing 187 research priorities, mainly focused on population and intervention elements, with a significant number arising from gaps in evidence.
  • - The analysis highlighted that 41.5% of the CPGs presented overall research priorities, emphasizing the need for more targeted research to address specific recommendations.
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Objectives: To compared the presentation of research priorities in the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) clinical practice guidelines (CPGs) developed under the guidance of the GRADE working group or its two co-chair, and the Chinese CPGs.

Methods: This was a methodological empirical analysis. We searched PubMed, Embase, and four Chinese databases (Wanfang, VIP Database for Chinese Technical Periodicals, China National Knowledge Infrastructure and Chinese Biomedical Literature Database) and retrieved nine Chinese guideline databases or Society websites as well as GRADE Pro websites.

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Background: The overall comprehensive consideration of the factors influencing the recommendations in the traditional Chinese medicine (TCM) guidelines remains poorly studied. This study systematically evaluate the factors influencing recommendations formation in the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) clinical practice guidelines (CPGs) and TCM CPGs.

Methods: This was a methodological review in which we searched six databases and multiple related websites.

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The rapid accumulation of large-scale single-cell RNA-seq datasets from multiple institutions presents remarkable opportunities for automatically cell annotations through integrative analyses. However, the privacy issue has existed but being ignored, since we are limited to access and utilize all the reference datasets distributed in different institutions globally due to the prohibited data transmission across institutions by data regulation laws. To this end, we present scPrivacy, which is the first and generalized automatically single-cell type identification prototype to facilitate single cell annotations in a data privacy-preserving collaboration manner.

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To explore a method of promoting college aesthetic education through campus environments, the Aesthetic Education Center of the Beijing Institute of Technology Zhuhai (BITZH-AEC) used the soundwalk method of soundscapes to carry out an experiment on students' soundscape perceptions on campus. Half of the students who participated in the experiment ( = 42) had musical instrument learning experience and musical literacy. The research work used conventional statistical analysis methods and "Soundscapy", newly developed by the British soundscape research team, to process the experimental data.

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The fact that most of the patients with preoperative DVTs after calcaneal fractures are asymptomatic brought challenges to the early intervention, and periodic imaging examinations aggravated the financial burden of the patients in preoperative detumescence period. This study aimed to use routine clinical data, obtained from the database of Surgical Site Infection in Orthopaedic Surgery (SSIOS), to construct and validate a nomogram for predicting preoperative DVT risk in patients with isolated calcaneal fracture. The nomogram was established base on 7 predictors independently related to preoperative DVT.

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Intervertebral disc degeneration (IDD) is the most common chronic skeletal muscle degeneration disease. Although the underlying mechanisms remain unclear, nucleus pulposus (NP) autophagy, senescence, and apoptosis are known to play a critical role in this process. Previous studies suggest that bromodomain-containing protein 4 (BRD4) promotes senescent and apoptotic effects in several age-related degenerative diseases.

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Efficient single-cell assignment is essential for single-cell sequencing data analysis. With the explosive growth of single-cell sequencing data, multiple single-cell sequencing data sources are available for the same kind of tissue, which can be integrated to further improve single-cell assignment; however, an efficient integration strategy is still lacking due to the great challenges of data heterogeneity existing in multiple references. To this end, we present mtSC, a flexible single-cell assignment framework that integrates multiple references based on multitask deep metric learning designed specifically for cell type identification within tissues with multiple single-cell sequencing data as references.

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Intervertebral disc degeneration (IDD) is a common clinical degenerative disease of the spine. A series of factors, such as inflammation, oxidative stress and mechanical stress, promote degradation of the extracellular matrix (ECM) of the intervertebral discs (IVD), leading to dysfunction and structural destruction of the IVD. Nuclear factor-κB (NF-κB) transcription factor has long been regarded as a pathogenic factor of IDD.

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Background: Post-stroke spasm is currently a complex clinical problem that remains to be resolved. Due to its excellent efficacy and few side effects, clinicians have used fire acupuncture to treat post-stroke spasticity in China.

Objectives: The purpose of this study was to evaluate the clinical efficacy of fire acupuncture compared with conventional acupuncture to treat post-stroke spasms and provide a detailed summary of the commonly used acupoints.

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Background: Degenerative lumber spondylolisthesis (DLS) is a common orthopedic condition, described as a condition that compared with the lower vertebra, the superior vertebra slides forward or backward in the sagittal plane without accompanying isthmic spondylolisthesis. Information pertaining to different types of double-level DLS is scarce. This study aims to analyze parameters of patients with different types of double-level DLS to provide a reference for guiding surgical treatment and restoring sagittal balance of patients with DLS.

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Grape seed proanthocyanidins (GSP) are natural flavonoids with strong antioxidant and anti-apoptotic effects. Oxidative stress and neuronal apoptosis are major contributors to spinal cord injury (SCI). In this study, we assessed the potential protective effects of GSP on hydrogen peroxide (HO)-damaged pheochromocytoma-12 (PC12) cells in an in vitro model of SCI as well as the putative mechanism of action.

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Background: Lumbar X-rays are usually preferred in patients with lower back pain, but lumbar spinal stenosis (LSS) cannot be directly observed on lumbar X-ray films.

Objective: The purpose of this study is to explore the correlation between the degree of single-segment central LSS and lumbar X-ray measurements.

Methods: The data of 60 male patients aged 39-78 years with single-segment central LSS were analyzed.

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BACKGROUND Trapezoidal changes of the vertebral body are more common in patients with lumbar spondylolisthesis than in others. However, we lack an understanding of factors predisposing to the development of a marked trapezoidal deformity. Also, no associations between a trapezoidal vertebrae (TV) and spine-pelvis sagittal parameters have been previously reported.

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Article Synopsis
  • * Sirtuins, a family of proteins involved in regulating aging and various diseases, particularly SIRT1, SIRT2, SIRT3, and SIRT6, play a crucial role in managing oxidative stress and inflammation related to IDD.
  • * Several sirtuin activators, such as resveratrol and melatonin, have shown potential in preclinical studies for their ability to prevent IDD, paving the way for future research on new treatments.
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Spinal cord injury (SCI) is a severe central nervous system injury for which few efficacious drugs are available. Rosmarinic acid (RA), a water-soluble polyphenolic phytochemical, has antioxidant, anti-inflammatory, and anti-apoptotic properties. However, the effect of RA on SCI is unclear.

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