Publications by authors named "Ming-Qi Liu"

Arsenic contamination in environmental water sources poses a significant threat to human health, necessitating the development of sensitive and accessible detection methods. This study presents a multidimensional optimization of a bacterial biosensor for the susceptible and deoxyviolacein (DV)-based visual detection of arsenic. The research involved screening six different arsenic resistance (ars) operons and optimizing the genetic circuit to minimize background noise.

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The global concern over arsenic contamination in water due to its natural occurrence and human activities has led to the development of innovative solutions for its detection and remediation. Microbial metabolism and mobilization play crucial roles in the global cycle of arsenic. Many microbial arsenic-resistance systems, especially the ars operons, prevalent in bacterial plasmids and genomes, play vital roles in arsenic resistance and are utilized as templates for designing synthetic bacteria.

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With the rapid development of synthetic biology, various whole-cell biosensors have been designed as valuable biological devices for the selective and sensitive detection of toxic heavy metals in environmental water. However, most proposed biosensors are based on fluorescent and bioluminescent signals invisible to the naked eye. The development of visible pigment-based biosensors can address this issue.

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  • * It features a unique target-decoy approach for enhancing result reliability and supports open-search analysis for a better understanding of glycan variations and modifications.
  • * Tested on diverse datasets, GlycoNote shows strong performance in analyzing different glycan types, making it a valuable resource for researchers in glycobiology.
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  • The study focuses on creating and validating a nomogram to predict the overall survival rates for patients with incidental gallbladder cancer, based on data from 383 patients treated at a specific hospital in Shanghai.
  • Key independent factors identified for predicting survival included T stage, lymph node metastasis, peritoneal metastasis, reresection, and tumor histology.
  • The nomogram demonstrated strong predictive accuracy with C-index values of 0.76 and 0.814 in training and validation cohorts, respectively, outperforming the existing AJCC staging system and showing excellent agreement between predicted and observed survival outcomes.
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  • Advances in mass spectrometry for glycopeptide analysis have improved, but accurately identifying and localizing glycopeptides and saccharide modifications quickly still poses challenges.
  • The new search engine pGlyco3 uses a glycan-ion indexing algorithm, making it 5-40 times faster than others while maintaining precision and sensitivity.
  • pGlyco3 effectively identifies both N-glycopeptides and modified O-mannose glycopeptides in yeast samples, showcasing its versatility and accuracy in glycopeptide research.
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Background: Low-molecular citrus pectin (LCP) is a pectin polysaccharide with low molec-ular weight, low degree of crux, and no branching. It is obtained by degrading natural citrus pectin (CP) through physical, chemical and enzymatic methods. LCP has received considerable attention in recent years due to its potential applications in the medical and biological fields.

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Cerebrospinal fluid (CSF) β2-microglobulin (β2-MG) levels elevated in patients with multiple sclerosis (MS). We examined the levels of β2-MG in serum and cerebrospinal fluid (CSF) from 46 patients with neuromyelitis optica spectrum disorders (NMOSD), in serum from 21 healthy controls (HC), in CSF from 25 disease controls with non-inflammatory neurological diseases (NIND) with normal CSF results. CSF β2-MG levels were significantly higher in patients with NMOSD than controls and with weak association with the number of white blood cells, protein and lactate levels in CSF.

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Backgrounds: Beta-2-microglobulin (β2-MG) levels vary in many infectious and autoimmune diseases. We investigated plasma and cerebrospinal fluid (CSF) β2-MG levels in patients with Guillain-Barré syndrome (GBS) and their correlations with clinical parameters.

Methods: CSF samples from 50 patients with GBS including 19 acute inflammatory demyelinating polyneuropathy (AIDP), 6 acute motor axonal neuropathy (AMAN), 10 acute motor-sensory axonal neuropathy (AMSAN), 7 Miller-Fisher syndrome (MFS), and 8 unclassified patients were collected.

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  • The study investigates IL-27 serum levels and IL-27-producing cell percentages in patients with acetylcholine receptor antibody-positive myasthenia gravis (AChR-MG) compared to healthy controls.
  • Results show that AChR-MG patients had significantly higher serum IL-27 levels and elevated frequencies of IL-27-producing cells, with both metrics decreasing after intravenous immunoglobulin treatment.
  • The findings suggest IL-27 may be involved in the disease's pathology and indicate that the percentage of IL-27-producing T cells could serve as a potential biomarker for AChR-MG severity.
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Uric acid (UA) is a natural scavenger for peroxynitrite and can reflect antioxidant activity and oxidative stress in several neurological disorders. Changes in serum and cerebrospinal fluid (CSF) levels of UA have been reported in patients with multiple sclerosis and neuromyelitis optica spectrum disorders. The levels of UA in CSF are relatively poorly understood in patients with Guillain-Barré syndrome (GBS).

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  • This study investigates the potential link between multiple sclerosis (MS) and herpes simplex virus (HSV) infection, particularly focusing on IgG antibodies and viral DNA in clinical samples.
  • A systematic review included 1756 MS patients and 6429 controls, revealing a significant association between MS/CIS and higher IgG seroprevalence for HSV-2 but not for HSV-1.
  • Additionally, pediatric MS patients showed increased IgG against HSV-1 compared to controls, suggesting a possible age-related connection in the disease's onset.
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Background: Neuromyelitis optica spectrum disorders (NMOSD) and multiple sclerosis (MS) may be similar to each other in clinical features. The differential diagnosis between them remains challenging in clinical practice. This retrospective study is aimed to describe the difference of cerebrospinal fluid (CSF) lactate level between aquaporin-4 antibody (AQP4-Ab) positive NMOSD and MS, to discuss the possible explanation upon immunopathogenesis and the significance in differential diagnosis.

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Objective: Infectious encephalitis (IE) and autoimmune encephalitis (AE) are symptomatically similar in clinic, however essentially different in pathogenesis. Therefore, the objective of this study was to identify specific features to distinguish the two types of encephalitis for early effective diagnosis and treatments through a comparative analysis.

Methods: Fifty-nine IE patients and 36 AE patients were enrolled.

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Background: Neuromyelitis optica spectrum disorders (NMOSD) is a severe immune-mediated inflammatory central nervous system (CNS) syndrome. YKL-40, as a new inflammatory marker, has been studied in many autoimmunity and CNS diseases. Our aim of this study was to investigate cerebrospinal fluid (CSF) and serum YKL-40 levels in patients with NMOSD and their association with disease severity.

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Aims: Neuromyelitis optica spectrum disorders (NMOSD) are aquaporin-4 antibody-mediated diseases of the central nervous system. Endothelin-1 (ET-1) is an inflammatory cytokine released by vascular endothelial cells and activated astrocytes. Previous studies have reported the aberrant expressions of cytokines/chemokines in patients diagnosed with NMOSD.

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: Glycomics, which aims to define the glycome of a biological system to better assess the biological attributes of the glycans, has attracted increasing interest. However, the complexity and diversity of glycans present challenging barriers to glycome definition. Technological advances are major drivers in glycomics.

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Endoxylanase with high specific activity, thermostability, and broad pH adaptability is in huge demand. The mutant library of GH11 endoxylanase was constructed via DNA shuffling by using the catalytic domain of xylanase A (BaxA) and TF xylanase A (TfxA) as parents. A total of 2,250 colonies were collected and 756 of them were sequenced.

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  • Efficient detection of abnormal glycoproteins in serum is crucial for identifying biomarkers for hepatocellular carcinoma (HCC), but quantifying them directly is complex due to the serum's intricate protein mixture.
  • The study introduces a nonglycopeptide-based mass spectrometry (NGP-MS) method that uses enriched glycoproteins to facilitate targeted quantification, leading to the development of a comprehensive pipeline for HCC biomarker discovery.
  • Among the findings, a panel of four glycoproteins, including APOH and ORM2, demonstrated superior diagnostic capability compared to the traditional biomarker AFP, indicating potential for improved HCC detection in clinical settings.
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  • Mannooligosaccharides produced by mannanase enzymes are valuable for enhancing diets in both humans and animals.
  • This study used an innovative enzyme-engineering approach to modify a mannanase, resulting in improved stability against heat, ions, and aggregation, while maintaining its shape.
  • A new bifunctional enzyme combining mannanase and xylanase showed effective substrate breakdown, revealing insights into enzyme stability that could lead to better feed additives and functional oligosaccharides.
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The rice xylanase inhibitor gene, rixi, was cloned from rice genome. The open reading frame of rixi was 915 bp and encoded 304 amino acids with the theoretical molecular mass of 33.9 kDa.

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Article Synopsis
  • * The authors introduce pGlyco 2.0, a new high-throughput workflow that enhances the accurate identification of intact N-glycopeptides by using stepped-energy fragmentation and a specialized search engine with comprehensive quality control measures.
  • * They present a large dataset revealing 10,009 unique site-specific N-glycans associated with 1988 glycosylation sites across 955 mouse glycoproteins, thus providing a valuable resource for benchmarking glycopeptide identification methods.
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In this study, BaxA (GenBank: KM624029), which encodes the Bacillus amyloliquefaciens xylanase A (BaxA), was highly expressed in Pichia pastoris GS115 under the control of the AOX1 promoter. The recombinant xylanase, namely rePBaxA, was purified to homogeneity by using Ni-affinity resin and its molecular weight was 35.0kDa.

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N-glycosylation is one of the most prominent and abundant posttranslational modifications of proteins. It is estimated that over 50% of mammalian proteins undergo glycosylation. However, the analysis of N-glycoproteins has been limited by the available analytical technology.

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Confident characterization of the microheterogeneity of protein glycosylation through identification of intact glycopeptides remains one of the toughest analytical challenges for glycoproteomics. Recently proposed mass spectrometry (MS)-based methods still have some defects such as lack of the false discovery rate (FDR) analysis for the glycan identification and lack of sufficient fragmentation information for the peptide identification. Here we proposed pGlyco, a novel pipeline for the identification of intact glycopeptides by using complementary MS techniques: 1) HCD-MS/MS followed by product-dependent CID-MS/MS was used to provide complementary fragments to identify the glycans, and a novel target-decoy method was developed to estimate the false discovery rate of the glycan identification; 2) data-dependent acquisition of MS3 for some most intense peaks of HCD-MS/MS was used to provide fragments to identify the peptide backbones.

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