Publications by authors named "QianLi Tang"

Argonaute 2 (Ago2) is a crucial enzyme in the RNA interference (RNAi) pathway, essential for gene silencing via the cleavage of target messenger RNA (mRNA) mediated by microRNA (miRNA) or small interfering RNA (siRNA). The activity of Ago2 is a significant biomarker for various diseases, including cancer and viral infections, necessitating precise monitoring techniques. Traditional methods for detecting Ago2 activity are often cumbersome and lack the necessary sensitivity and specificity for low-abundance targets in complex samples.

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Most of the existing SERS systems failed to achieve satisfactory results in early diagnosis of Alzheimer's disease owing to a lack of effective signal transduction. Herein, we developed a dual signal amplification strategy for SERS detection of amyloid-β oligomers based on proximity hybridization-triggered catalyzed hairpin assembly (CHA) and hybridization chain reaction (HCR). In the presence of the target protein and two DNA-labeled antibodies, a proximate complex formed in a homogeneous solution.

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An advanced electrochemiluminescence (ECL) biosensor was developed that integrates T7 RNA polymerase amplification, ladder-branch hybridization chain reaction (HCR), and the precise targeting capabilities of CRISPR/Cas13a technology. The novelty of this research lies in the unique combination of these three cutting-edge technologies, which has not been previously utilized together in biosensing platforms, enabling highly sensitive and specific detection of biomolecules with exceptional precision. This innovative biosensor addresses the critical need for sensitive and specific detection of matrix metalloproteinase-2 (MMP-2), a key biomarker in cancer diagnostics.

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Article Synopsis
  • Matrix metalloproteinase-2 (MMP-2) is significant in anti-aging research, highlighting the need for reliable detection methods.
  • A new electrochemiluminescence (ECL) biosensor is introduced, using CRISPR/Cas13a and Exponential Amplification Reaction (EXPAR) to determine MMP-2 levels.
  • The biosensor has a remarkable detection limit of 12.8 aM, with high selectivity, reproducibility, and stability, making it promising for molecular diagnostics in biological samples.
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Esophageal cancer (ESCA) is a high-incidence disease worldwide, of which the 5-year survival rate remains dismal since the cellular basis of ESCA remains largely unclear. Herein, we attempted to examine the manifestation of fucosyltransferase-6 (FUT6) in ESCA and the associated mechanisms. The GSE161533 dataset was used to analyze a crucial gene in ESCA.

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We present an innovative biosensor designed for the precise identification of Escherichia coli (E.coli), a predominant pathogen responsible for gastrointestinal infections. E.

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  • Hepatocellular carcinoma (HCC) is a serious cancer associated with high rates of morbidity, and its progression is influenced by the epithelial-mesenchymal transition (EMT) linked to tumor-associated macrophages (TAMs).
  • The study investigated the relationship between a specific circular RNA (has_circ_0000092), various proteins, and how they interact within the immune environment of HCC to enhance the EMT process.
  • Results showed that has_circ_0000092 is highly expressed in HCC cells, promoting M2 polarization of macrophages through the regulation of IL24 via SMC1A, suggesting a potential mechanism for HCC metastasis and recurrence.
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This study introduces a novel electrochemical biosensor for detecting Matrix Metalloproteinase-2 (MMP-2), a key biomarker in cancer diagnostics and tissue remodeling. The biosensor is based on a dual-amplification strategy utilizing T7 RNA polymerase isothermal amplification and CRISPR-Cas12a technology. The principle involves the release of a DNA template in the presence of MMP-2, leading to RNA synthesis by T7 RNA polymerase.

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Tryptophan (Trp) metabolism is closely related to tumor immunity, and its disorder can cause an immunosuppressive microenvironment, promoting the occurrence and development of hepatocellular carcinoma (HCC). The aim of this study is to explore and validate the independent prognostic genes in patients suffered from HCC. The transcriptome data of GSE87630 from GEO database were downloaded to analyze differentially expressed genes (DECs) which were intersected with the gene sets of Trp metabolism from MsigDB database.

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  • - The role of T cells in wound healing has been acknowledged, but their specific signaling functions in this process remain unclear.
  • - Using advanced techniques like single-cell RNA sequencing and immunofluorescent imaging, researchers identified various T cell types during the inflammation phase of wound healing, including activated, cytotoxic, and regulatory T cells.
  • - The study highlighted the unique contributions of different T cell populations to wound healing, particularly noting the presence of exhausting T cells and calling for more research on their role and mechanisms in this context.
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Bone Marrow mesenchymal Stem Cells (BMSCs) are considered as an important source of cells for regenerative medicine, In particular, Bone Marrow mesenchymal Stem Cells Exosomes (BMSCs-EXO) have the most significant effect in the treatment of Spinal Cord Injury (SCI), but the mechanism of action is still unknown. This study found that compared with other SCI groups, BMSCs-EXO loaded with miR-146a could significantly improve the functional recovery of the hind limbs of SCI rats. Hematoxylin and eosin (H&E) indicated that the lesion area of spinal cord injury was less, nissl staining indicated that the number of nissl bodies remained more; the mechanism may be through inhibiting the expression of IRAK1 and TRAF6, blocking the activation of NF-κB p65, reducing the expression of TNF-α, IL-1β and IL-6 inflammatory factors and oxidative stress, improving the SCI microenvironment, and promoting the repair of neural function.

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  • Hepatocellular carcinoma (HCC) is a major health risk globally, and this study aims to create a scoring system to better predict the survival rates of affected patients.
  • Researchers used data from 45,827 HCC patients to identify and analyze prognostic factors, ultimately developing a model that includes 11 key clinical and demographic features.
  • The new model proved to be more accurate than the existing AJCC staging system, showing strong predictive capability and alignment with real-world patient outcomes.
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Background: MicroRNAs (miRNAs) are important non-coding RNA entities that affect gene expression and function by binding to target mRNAs, leading to degradation of the mRNAs or inhibiting their translation. MiRNAs are widely involved in a variety of biological processes, such as cell differentiation, development, metabolism, and apoptosis. In addition, miRNAs are associated with many diseases, including cancer.

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Background: PLAUR has been found upregulated in various tumors and closely correlated with the malignant phenotype of tumor cells. The aim of this study was to investigate the relationship between PLAUR and clear cell renal cell carcinoma (ccRCC) and its potential mechanism of promoting tumor progression.

Methods: The expression levels and clinical significance of PLAUR, along with the associated signaling pathways, were extensively investigated in ccRCC samples obtained from The Cancer Genome Atlas (TCGA).

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The article details a groundbreaking platform for detecting microRNAs (miRNAs), crucial biomolecules involved in gene regulation and linked to various diseases. This innovative platform combines the CRISPR-Cas13a system's precise ability to specifically target and cleave RNA molecules with the amplification capabilities of the hybridization chain reaction (HCR). HCR aids in signal enhancement by creating branched DNA structures.

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  • B-type natriuretic peptide (BNP) is a key biomarker for diagnosing heart failure, and this study introduces a new electrochemical biosensor for its detection.
  • The biosensor utilizes a combination of CRISPR/Cas13a technology, a DNA aptamer for specific BNP binding, and signal amplification through T7 RNA polymerase, achieving high sensitivity (detection limit of 0.74 aM) and specificity.
  • Tested on human serum samples, the biosensor showed minimal interference, highlighting its potential for practical clinical use and as a point-of-care diagnostic tool.
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α-synuclein oligomer is a marker of Parkinson's disease. The traditional enzyme-linked immunosorbent assay for α-synuclein oligomer detection is not conducive to large-scale application due to its time-consuming, high cost and poor stability. Recently, DNA-based biosensors have been increasingly used in the detection of disease markers due to their high sensitivity, simplicity and low cost.

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A novel electrochemical biosensor that combines the CRISPR-Cas12a system with a gold electrode is reported for the rapid and sensitive detection of microphthalmia-associated transcription factor (MITF). The biosensor consists of a gold electrode modified with DNA1, which contains the target sequence of MITF and is labeled with ferrocene, an electroactive molecule. The biosensor also includes hairpin DNA, which has a binding site for MITF and can hybridize with helper DNA to form a double-stranded complex that activates CRISPR-Cas12a.

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Background: Escherichia coli (E.coli) is both a commensal and a foodborne pathogenic bacterium in the human gastrointestinal tract, posing significant potential risks to human health and food safety. However, one of the major challenges in E.

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  • Apo-A4 is being studied as a potential biomarker for diagnosing depression due to its harmful effects on the nervous system.
  • The research introduces a novel DNA-based strategy for quantifying Apo-A4 using a bipedal DNA walker that utilizes rolling circle amplification (RCA) triggered by the binding of poly adenine to silver nanoparticles (AgNPs).
  • This method offers a label-free approach with high sensitivity, enabling the detection of Apo-A4 across a wide range of concentrations (0.001 to 100 ng mL) and a detection limit as low as 0.46 pg mL, making it useful for various bioanalytical applications.
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  • Apo-A4 is being investigated as a potential biomarker for diagnosing depression due to its harmful effects on neurons.
  • The study presents a new method using a DNA walker that enhances the detection of Apo-A4 by facilitating the assembly of silver nanoparticles (Ag NPs) with DNA probes.
  • This method enables sensitive electrochemical detection of Apo-A4, with a detection limit of 5.1 pg/mL and a broad range, offering a quick and accurate approach for clinical diagnosis of depression.
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In the current study, a novel electrochemiluminescence biosensor based on the entropy-driven DNA tetrahedron for the detection of matrix metalloproteinase 2 (MMP2), an enzyme that regulates extracellular matrix remodeling and affects aging was reported. The biosensor utilizes an inverted DNA tetrahedron structure, which exposes three vertices to the solution, as molecular recognition units for capturing specific biomolecules. The biosensor also employs a ratiometric method and an entropy-driven reaction, which enhance the response rate and sensitivity of the detection.

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Apolipoprotein A4 has a wide range of synaptic toxicity and can be used as a reliable molecular biomarker for the detection of depressive disorder. It has certain clinical requirements for simple, rapid and selective detection of apolipoprotein A4. Here, based on the DNA biped walker driven by DNAzyme, we designed a label-free surface-enhanced Raman scatting sensor for rapid detection of apolipoprotein A4.

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By merging DNA entropy-driven technology with triple-stranded nucleic acids in an electrochemical biosensor to detect the SARS-CoV-2 RdRp gene, we tackled the challenges of false negatives and the high cost of SARS-CoV-2 detection. The approach generates a CRISPR-Cas 13a-activated RNA activator, which then stimulates CRISPR-Cas 13a activity using an entropy-driven mechanism. The activated CRISPR-Cas 13a can cleave Hoogsteen DNA due to the insertion of two uracil (-U-U-) in Hoogsteen DNA.

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Synopsis of recent research by authors named "QianLi Tang"

  • - Recent research by Qianli Tang focuses on the development of advanced electrochemical biosensors that leverage CRISPR technology for the sensitive detection of various biomarkers related to health conditions including cancer, aging, and infectious diseases.
  • - Tang's work includes the design of innovative approaches such as the combination of electrochemiluminescence with CRISPR/Cas systems and amplification techniques, enabling specific detection of biomarkers like matrix metalloproteinase-2 (MMP-2), Escherichia coli, and apolipoprotein A4, which are crucial in cancer diagnosis and management.
  • - The findings suggest that these novel biosensor technologies not only provide enhanced detection capabilities but also contribute to the understanding of disease mechanisms, such as the role of fucosyltransferase-6 in esophageal carcinoma and the implications of tryptophan metabolism in hepatocellular carcinoma.