Publications by authors named "Zhi-qiang Ye"

Background: Eurycomanone (EN) is a diterpenoid compound isolated from the roots of (). Previous studies have confirmed that can enhance bone regeneration and bone strength. We previously isolated and identified ten quassinoids from , and the result displayed that five aqueous extracts have the effects on promotion of bone formation, among whom EN showed the strongest activity.

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Epidemiologic studies have produced conflicting results on the effects of metformin on pancreatic cancer. This study aimed to observe and analyze whether metformin use is associated with better prognosis in pancreatic cancer. In this retrospective cohort study, all baseline data were retrieved from The Chinese Medicine Information Retrieval System (https://dc.

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  • - The widespread use of gene sequencing has led to many amino acid substitutions (AAS) whose significance is unclear, making it difficult to predict their potential disease-causing effects.
  • - A new prediction model called AAS3D-RF was developed, integrating both sequence and three-dimensional (3D) protein structure features, achieving better accuracy compared to existing tools.
  • - This model not only predicts pathogenic AASs effectively but also provides insights into how these substitutions might affect protein structures, making it a useful resource for researchers.
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Motility is finely regulated and is crucial to bacterial processes including colonization and biofilm formation. There is a trade-off between motility and growth in bacteria with molecular mechanisms not fully understood. Hypermotile could be isolated by evolving non-motile cells on soft agar plates.

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  • Genomic instability (GI) is a key feature of cancer, and long non-coding RNAs (lncRNAs) show potential as cancer biomarkers, particularly in papillary thyroid cancer (PTC), although their clinical relevance is not fully understood.!* -
  • A study analyzed lncRNA expression and mutation profiles in PTC to identify GI-related lncRNAs (GIlncs), resulting in a computational model of four specific lncRNAs which were linked to poor patient prognosis and validated through various datasets.!* -
  • The research found that these lncRNAs are associated with the presence of driver mutations and clinical features, and their expression impacts PTC cell behavior, suggesting their potential as predictors for disease progression and
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  • Diamond-Blackfan Anemia (DBA) is a rare inherited disease primarily caused by mutations in the RPS19 ribosomal protein, leading to severe red cell aplasia.
  • This study utilized computational analysis of the human ribosome's structure to examine how DBA mutations impact RPS19, identifying key structural elements and interaction points with 18S rRNA.
  • Findings suggest that these mutations destabilize RPS19 by affecting its core structure and hydrogen bonding, and a machine-learning model was developed to predict the pathogenicity of various RPS19 mutations, advancing our understanding of DBA's underlying mechanisms.
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Senescence is activated in response to gemcitabine to prevent the propagation of cancer cells. However, there is little evidence on whether senescence is involved in gemcitabine resistance in pancreatic cancer. Increasing evidence has demonstrated that microRNAs (miRs) are potential regulators of cellular senescence.

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Background: Microfibril-associated protein 2 () is a protein coding gene that exerts important phenotypic effects on cell motility, and increasing research has indicated that MFAP2 was correlated with many cancers. However, the functional and potential clinical role of in papillary thyroid cancer (PTC) has not yet been verified.

Materials And Methods: We performed whole transcriptome sequencing on 78 paired PTC tissues and corresponding adjacent normal tissues and found that was highly expressed in PTC tissues.

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  • The text discusses the significance of intrinsically disordered regions (IDRs) in proteins and how single nucleotide variants (nsSNVs) in these regions are linked to human diseases, highlighting the need for specialized prediction methods due to current limitations in existing models.
  • IDRMutPred is introduced as a new machine learning tool designed to predict disease-related germline nsSNVs specifically in IDRs, using selected features from protein data to achieve better accuracy than general predictors.
  • The tool is freely accessible online, and the supplementary information can be found in Bioinformatics, making it a resource for researchers studying disease associations in IDRs.
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MicroRNAs play critical roles in tumor progression. Our recent study has indicated that microRNA-7 (miR-7) impairs autophagy-derived pools of glucose to suppress the glycolysis in pancreatic cancer progression. However, the roles of miR-7 in clinical significance and chemoresistance of pancreatic cancer remain unexplored.

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Background: Herpes simplex virus type 1 (HSV-1)-mediated oncolytic therapy is a promising cancer treatment modality. However, viral tropism is considered to be one of the major stumbling blocks to the development of HSV-1 as an anticancer agent.

Methods: The surface of oncolytic HSV-1 G207 was covalently modified with folate-poly (ethylene glycol) conjugate (FA-PEG).

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  • WDSPdb 2.0 is an updated database for WD40-repeat proteins, which are important scaffold molecules in various cellular functions.
  • It offers around 600,000 entries and integrates over 37,000 genetic variants from multiple databases to enhance understanding of protein interactions.
  • The platform has improved visualization and data accessibility, making it easier for researchers to explore and download information.
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Background: WD40 repeat proteins constitute one of the largest families in eukaryotes, and widely participate in various fundamental cellular processes by interacting with other molecules. Based on individual WD40 proteins, previous work has demonstrated that their structural characteristics should confer great potential of interaction and complex formation, and has speculated that they may serve as hubs in the protein-protein interaction (PPI) network. However, what roles the whole family plays in organizing the PPI network, and whether this information can be utilized in complex prediction remain unclear.

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As an ancient protein family, the WD40 repeat proteins often play essential roles in fundamental cellular processes in eukaryotes. Although investigations of eukaryotic WD40 proteins have been frequently reported, prokaryotic ones remain largely uncharacterized. In this paper, we report a systematic analysis of prokaryotic WD40 proteins and detailed comparisons with eukaryotic ones.

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  • The study focuses on the WD40 protein family, which plays crucial roles in cellular processes and is one of the largest protein families found in eukaryotes, highlighting the need for comprehensive research on these proteins in animals.
  • The researchers identified 262 unique WD40 proteins and categorized them into 21 classes based on their structural features, discovering 11 that are specific to animals, as well as uncovering the complex evolutionary history of these proteins.
  • The findings reveal that WD40 proteins expanded significantly in early evolution, with those emerging first often having essential cellular functions, while later-origin proteins are more tissue-specific, providing valuable insights compared to previous studies on plants.
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Background: Intestinal ischemia-reperfusion (IIR) could lead to acute lung injury, associated with severe alveolar epithelial cells inflammatory and oxidative injury. Alpha7 nicotinic acetylcholine receptor (α7nAChR) is an essential component of the cholinergic anti-inflammatory pathway. The aim of this study was to investigate the important role of α7nAChR on the lung subjected to IIR.

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Aim: To determine the potential protective role of adiponectin in intestinal ischemia reperfusion (I/R) injury.

Methods: A rat model of intestinal I/R injury was established. The serum level of adiponectin in rats with intestinal I/R injury was determined by enzyme-linked immunosorbent assay (ELISA).

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WD40-repeat proteins, as one of the largest protein families, often serve as platforms to assemble functional complexes through the hotspot residues on their domain surfaces, and thus play vital roles in many biological processes. Consequently, it is highly required for researchers who study WD40 proteins and protein-protein interactions to obtain structural information of WD40 domains. Systematic identification of WD40-repeat proteins, including prediction of their secondary structures, tertiary structures and potential hotspot residues responsible for protein-protein interactions, may constitute a valuable resource upon this request.

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  • Next generation sequencing has advanced our understanding of RNA editing, but challenges remain, such as accurately mapping the editome and understanding its evolution and function.
  • This study provides a detailed profile of the RNA editome in rhesus macaques, revealing 31,250 editing sites, predominantly A-to-G transitions, and confirming a high verification rate for these sites.
  • Evidence suggests that the specific editing patterns are influenced by certain genetic factors and evolutionary constraints, highlighting the significance of RNA editing in primate evolution, which could enhance our understanding in humans.*
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Background: S. erythraea is a Gram-positive filamentous bacterium used for the industrial-scale production of erythromycin A which is of high clinical importance. In this work, we sequenced the whole genome of a high-producing strain (E3) obtained by random mutagenesis and screening from the wild-type strain NRRL23338, and examined time-series expression profiles of both E3 and NRRL23338.

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Efficient ratiometric fluorescent Fe(3+) probes were designed and synthesized by linking a conjugated naphthalene chromophore to a rhodamine platform and a lipophilic triphenylphosphonium (TPP) cation. The probes could sensitively and selectively detect mitochondrial Fe(3+) in living cells.

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Background: To confirm whether clinical and biochemical parameters or Hashimoto's thyroiditis (HT) could predict the risks of malignancy among subjects who underwent thyroidectomy, as well as to determine the influence of HT on the biological behavior of papillary thyroid cancer (PTC).

Methods: A total of 2,052 patients who underwent initial thyroidectomy were enrolled between June 2006 and August 2008. Serum free T4, free T3, thyrotropin (TSH), thyroglobulin, thyroglobulin antibody, antimicrosomal antibody, tumor-associated status, and thyroid disorders were documented.

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The present study was to evaluate the value of miRNA-30a in plasma as potential tumor marker in detecting breast cancer (BC). Using a novel approach to extract miRNA-30a from the plasma followed by real-time quantitative polymerase chain reaction (RQ-PCR) analysis, levels of miRNA-30a were quantified in plasma specimens of 100 BCs and 64 age-matched and disease-free healthy controls (HC). And we compared the diagnostic value of plasma miRNA-30a with conventional circulating tumor markers CA153 and CEA.

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Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site.

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Background: Differential coexpression analysis (DCEA) is increasingly used for investigating the global transcriptional mechanisms underlying phenotypic changes. Current DCEA methods mostly adopt a gene connectivity-based strategy to estimate differential coexpression, which is characterized by comparing the numbers of gene neighbors in different coexpression networks. Although it simplifies the calculation, this strategy mixes up the identities of different coexpression neighbors of a gene, and fails to differentiate significant differential coexpression changes from those trivial ones.

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