Publications by authors named "Guohua Yan"

In practical sweet cherry production, grafting onto rootstocks is a common practice to enhance environmental adaptability. Rootstocks play a crucial role in influencing scion growth and fruit quality by regulating the absorption and utilization of mineral elements. In this study, the influence of five rootstocks with or without root fertilization during the fruit color conversion period on the fruit quality of sweet cherry 'Summit' was observed.

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Cis-regulatory elements (CREs) are integral to the spatiotemporal and quantitative expression dynamics of target genes, thus directly influencing phenotypic variation and evolution. However, many of these CREs become highly susceptible to transcriptional silencing when in a transgenic state, particularly when organised as tandem repeats. We investigated the mechanism of this phenomenon and found that three of the six selected flower-specific CREs were prone to transcriptional silencing when in a transgenic context.

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Circular RNAs (circRNAs) are a subclass of non-coding RNAs that are important for the regulation of gene expression in eukaryotic organisms. CircRNAs exert various regulatory roles in cancer progression. However, the role of hsa_circ_0064636 in osteosarcoma (OS) remains poorly understood.

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Numerous methods have been developed for longitudinal binomial data in the literature. These traditional methods are reasonable for longitudinal binomial data with a negative association between the number of successes and the number of failures over time; however, a positive association may occur between the number of successes and the number of failures over time in some behaviour, economic, disease aggregation and toxicological studies as the numbers of trials are often random. In this paper, we propose a joint Poisson mixed modelling approach to longitudinal binomial data with a positive association between longitudinal counts of successes and longitudinal counts of failures.

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Correction for 'Carbazate-modified cross-linked dextran microparticles suppress the progression of osteoarthritis by ROS scavenging' by Yanfeng Ding, , ., 2021, , 6236-6250. https://doi.

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Article Synopsis
  • The study explored how fermented feed affects growth and gut microbiota in nursery pigs by comparing a diet with 10% co-fermented feed (LPF) to a standard diet (NC).
  • Results indicated that pigs on the LPF diet had better average daily gain and higher levels of beneficial short-chain fatty acids like acetate and butyrate in their feces.
  • Additionally, the LPF diet led to significant changes in gut microbiota, enhancing the presence of SCFA-producing bacteria that may offer anti-inflammatory benefits and improve overall gut health.
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Article Synopsis
  • Metabolomics plays a crucial role in systems biotechnology, helping with disease diagnosis, understanding drug mechanisms, and monitoring the quality of agricultural products.
  • Research in fruit tree metabolomics has progressed swiftly, integrating various fields like genomics and proteomics, and focusing on topics such as fruit quality mechanisms and stress responses in trees.
  • Different metabolomic strategies are utilized based on research goals, and advancements in technology and reduced costs are expected to lead to significant breakthroughs in fruit tree studies in the future.
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Background Ultrasound, computed tomographic peritoneography, methylene blue, and peritoneal scintigraphy are commonly used to identify peritoneal dialysis-related complications in clinical settings. This study aimed to investigate the diagnostic value of indocyanine green in peritoneal dialysis-related complications and to study the effect of indocyanine green on residual renal function and peritoneal function. Methods Twenty male Sprague-Dawley rats were used to establish models, including a pleural effusion model (A, n = 4), abdominal hernia model (B, n = 4), subcutaneous leakage model (C, n = 4), and control (D, n = 8).

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Chinese herbal medicine has well-established therapeutic effects in various diseases. Corilagin (Cor), a gallic acid tannin in Phyllanthus niruri L., has anti-inflammatory and antioxidant effects in many diseases.

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Osteoarthritis (OA) is a degenerative illness that greatly impacts the life quality of patients. Currently, the therapeutic approaches for OA are very limited in clinical. The extracellular vesicles (EVs) derived from different mesenchymal stem cells displayed a prominent therapeutic effect on OA.

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Osteosarcoma (OS) is characterized by rapid growth and early metastasis. However, its mechanism remains unclear. N-methyladenosine (mA) modification and its regulatory factors play essential roles in most cancers, including OS.

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A series of modified polysaccharide microparticles have been fabricated and their potential application for scavenging reactive oxygen species (ROS) and their derivatives to achieve osteoarthritis (OA) treatment has been explored. These microparticles were cross-linked dextran (Sephadex) with different carbazate substitution ratios determined by the TNBS assay and elemental analysis. It has been demonstrated that they could effectively scavenge carbonylated proteins and ROS including hydroxyl radicals (˙OH), superoxide anions (˙O) and HO and their derivatives with high efficiency, improve the viability of HO-treated chondrocytes by reducing their ROS levels, as well as lower their inflammatory factors.

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Long-term predictions of forest dynamics, including forecasts of tree growth and mortality, are central to sustainable forest-management planning. Although often difficult to evaluate, tree mortality rates under different abiotic and biotic conditions are vital in defining the long-term dynamics of forest ecosystems. In this study, we have modeled tree mortality rates using conditional inference trees (CTREE) and multi-year permanent sample plot data sourced from an inventory with coverage of New Brunswick (NB), Canada.

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The current statistical modeling of coronavirus (COVID-19) spread has mainly focused on spreading patterns and forecasting of COVID-19 development; these patterns have been found to vary among locations. As the survival time of coronaviruses on surfaces depends on temperature, some researchers have explored the association of daily confirmed cases with environmental factors. Furthermore, some researchers have studied the link between daily fatality rates with regional factors such as health resources, but found no significant factors.

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Background: Osteosarcoma (OS) is the most widespread bone tumour among childhood cancers, and distant metastasis is the dominant factor in poor prognosis for patients with OS. Therefore, it is necessary to identify new prognostic biomarkers for identifying patients with aggressive disease.

Methods: Two OS datasets (GSE21257 and GSE33383) were downloaded from the Gene Expression Omnibus (GEO) and subsequently subjected to weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis (DGE) to screen candidate genes.

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Background: Umbilical cord mesenchymal stem cell (HUCMSC)-based therapies were previously utilised for cartilage regeneration because of the chondrogenic potential of MSCs. However, chondrogenic differentiation of HUCMSCs is limited by the administration of growth factors like TGF-β that may cause cartilage hypertrophy. It has been reported that extracellular vesicles (EVs) could modulate the phenotypic expression of stem cells.

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Recent studies have shown that loss of pollen-S function in S' pollen from sweet cherry () is associated with a mutation in an S haplotype-specific F-box4 (SFB4) gene. However, how this mutation leads to self-compatibility is unclear. Here, we examined this mechanism by analyzing several self-compatible sweet cherry varieties.

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Sweet cherry () is a popular fruit with high nutritional value and excellent flavor. Although pollen plays an important role in the double fertilization and subsequent fruit production of this species, little is known about its pollen tube transcriptome. In this study, we identified 16,409 transcripts using single-molecule sequencing.

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Serially correlation binomial data with random cluster sizes occur frequently in environmental and health studies. Such data series have traditionally been analyzed using binomial state-space or hidden Markov models without appropriately accounting for the randomness in the cluster sizes. To characterize correlation and extra-variation arising from the random cluster sizes properly, we introduce a joint Poisson state-space modelling approach to analysis of binomial series with random cluster sizes.

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Generalized linear mixed models have played an important role in the analysis of longitudinal data; however, traditional approaches have limited flexibility in accommodating skewness and complex correlation structures. In addition, the existing estimation approaches generally rely heavily on the specifications of random effects distributions; therefore, the corresponding inferences are sometimes sensitive to the choice of random effect distributions under certain circumstance. In this paper, we incorporate serially dependent distribution-free random effects into Tweedie generalized linear models to accommodate a wide range of skewness and covariance structures for discrete and continuous longitudinal data.

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Sweet cherry is a diploid tree species and its fruit skin has rich colours from yellow to blush to dark red. The colour is closely related to anthocyanin biosynthesis and is mainly regulated at the transcriptional level by transcription factors that regulate the expression of multiple structural genes. However, the genetic and molecular bases of how these genes ultimately determine the fruit skin colour traits remain poorly understood.

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Disturbance plays a key role in driving ecological responses by creating opportunities for new ecological communities to assemble and by directly influencing the outcomes of assembly. Legacy effects (such as seed banks) and environmental filters can both influence community assembly, but their effects are impossible to separate with observational data. Here, we used seeding experiments in sites covering a broad range of postdisturbance conditions to tease apart the effects of seed availability, environmental factors, and disturbance characteristics on early community assembly after fire.

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