MICROCHEMICAL JOURNAL
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2026
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IF 5.2
Tao Liu,Dan Li,Wenying Hu,Amirah F. Kamaruddin,Zhisong Lu,Wei Sun
Reliable electrochemical determination of adenine (Ade) in biological samples remains challenging due to interference from structurally similar nucleobases, nonspecific adsorption, and instability of conventional sensing interfaces, which compromise selectivity and signal reproducibility. Here, we report an interface engineered electrochemical molecularly imprinted sensor based on disposable screen-printed electrodes (SPEs). The sensing platform integrates a poly( o -phenylenediamine) molecularly imprinted recognition layer with Au nanoparticles/MXene quantum dots/nitrogen-doped graphene (AuNPs/MQDs/NGR) nanocomposite transduction interface. MXene quantum dots (MQDs) provide abundant edge and terminal sites that promote uniform AuNPs nucleation and anchoring on NGR, forming a conductive and structurally stable sensing layer with reduced charge-transfer resistance. This engineered interface enables stable electropolymerization of the imprinted film and improves signal stability and electrode-to-electrode reproducibility. The sensor exhibited a linear response for Ade from 0.25 to 80.0 μM (R 2 = 0.992) with a detection limit of 0.094 μM and recoveries of 96.40–103.84% in human serum sample. This strategy provides a reproducible and selective electrochemical platform that addresses key limitations of current adenine sensors for analysis in complex biological matrices.
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BIOSENSORS & BIOELECTRONICS
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2023
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IF 12.6
Dechan Lu,Yanping Chen,Longfeng Ke,Weilin Wu,Liwen Yuan,Shangyuan Feng,Zufang Huang,Yudong Lu,Jing Wang
DNA methylation plays a critical role in the development of human tumors. However, routine characterization of DNA methylation can be time-consuming and labor-intensive. We herein describe a sensitive, simple surface-enhanced Raman spectroscopy (SERS) approach for identifying the DNA methylation pattern in early-stage lung cancer (LC) patients. By comparing SERS spectra of methylated DNA bases or sequences with their counterparts, we identified a reliable spectral marker of cytosine methylation. To move toward clinical applications, we applied our SERS strategy to detect the methylation patterns of genomic DNA (gDNA) extracted from cell line models as well as formalin-fixed paraffin-embedded tissues of early-stage LC and benign lung diseases (BLD) patients. In a clinical cohort of 106 individuals, our results showed distinct methylation patterns in gDNA between early-stage LC (n = 65) and BLD patients (n = 41), suggesting cancer-induced DNA methylation alterations. Combined with partial least square discriminant analysis, early-stage LC and BLD patients were differentiated with an area under the curve (AUC) value of 0.85. We believe that the SERS profiling of DNA methylation alterations, together with machine learning could potentially offer a promising new route toward the early detection of LC.
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TALANTA
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2023
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IF 6.1
Gefei Huang,Feng Zhang,Dongying Xie,Yiming Ma,Pengxi Wang,Guodong Cao,Leijian Chen,Siyi Lin,Zhongying Zhao,Zongwei Cai
Although next-generation sequencing technology has been used to delineate RNA modifications in recent years, the paucity of appropriate converting reactions or specific antibodies impedes the accurate characterization and quantification of numerous RNA modifications, especially when these modifications demonstrate wide variations across developmental stages and cell types. In this study, we developed a high-throughput analytical platform coupling ultra-performance liquid chromatograph (UPLC) with complementary mass spectrometry (MS) to identify and quantify RNA modifications in both synthetic and biological samples. Sixty-four types of RNA modifications, including positional isomers and hypermodified ribonucleosides , were successfully monitored within a 16-min single run of UPLC–MS. Two independent methods to cross-validate the purity of RNA extracted from Caenorhabditis elegans ( C. elegans ) were developed using the coexisting C. elegans and Escherichia coli ( E. coli ) as a surveillance system. To test the validity of the method, we investigated the RNA modification landscape of three model organisms, C. elegans , E. coli , and Arabidopsis thaliana ( A. thaliana ). Both the identity and molarity of modified ribonucleosides markedly varied among the species. Moreover, our platform is not only useful for exploring the dynamics of RNA modifications in response to environmental cues (e.g., cold shock) but can also help with the identification of RNA-modifying enzymes in genetic studies. Cumulatively, our method presents a novel platform for the comprehensive analysis of RNA modifications, which will be of benefit to both analytical chemists involved in biomarker discovery and biologists conducting functional studies of RNA modifications.
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JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
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2023
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IF 3
Chen Yao,Daizhu Lv,Xueqing Zhou,Pengcheng Fu,Wen Sun,Jinlian Chen,Huan Lin
The dynamic modification of RNA plays a crucial role in biological regulation and is strongly linked to human disease development and progression. Notably, modified nucleosides in urine have shown promising potential as early diagnostic biomarkers for various conditions. In this study, we developed and validated a rapid, sensitive, and accurate UPLC-MS/MS method for quantifying eight types of modified nucleosides ( N 1 -methyladenosine (m 1 A), N 6 -methyladenosine (m 6 A), 5-methyluridine (m 5 U), 5-taurinomethyl-2-thiouridine (τm 5 s 2 U), 5-methylcytidine (m 5 C), 2'-O-methylcytidine (Cm), N 1 -methylguanosine (m 1 G), and N 7 -methylguanosine (m 7 G) in human urine. Using the method, we measured the urinary concentrations of m 1 A, m 6 A, m 5 U, τm 5 s 2 U, m 5 C, Cm, m 1 G, and m 7 G in a total of 21 control individuals and 23 patients diagnosed with diabetic retinopathy (DR). Cm levels showed promise as a diagnostic marker for diabetic retinopathy (DR), with a significant value (P < 0.01) and an AUC of 0.735. Other modified nucleosides also exhibited significant differences within specific subpopulations. As non-proliferative diabetic retinopathy (NPDR) signifies the latent early stage of diabetic retinopathy, we developed a multivariate linear model that integrates patients' sex, age, height, and urinary concentration of modified nucleosides which aims to predict and differentiate between healthy individuals, NPDR patients, and proliferative diabetic retinopathy (PDR) patients. Encouragingly, the model achieved satisfactory accuracy rates: healthy (81%), NPDR (75%), and PDR (80%). Our findings provide valuable insights into the development of an early, cost-effective, and noninvasive diagnostic approach for diabetic retinopathy.
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EMBO JOURNAL
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2024
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IF 9.4
SunHongzheng,HanLongsen,GuoYueshuai,AnHuiqing,WangBing,ZhangXiangzheng,LiJiashuo,JiangYingtong,WangYue,SunGuangyi,ZhuShuai,TangShoubin,GeJuan,ChenMinjian,GuoXuejiang,WangQiang
Phosphorylation is a key post-translational modification regulating protein function and biological outcomes. However, the phosphorylation dynamics orchestrating mammalian oocyte development remains poorly understood. In the present study, we apply high-resolution mass spectrometry-based phosphoproteomics to obtain the first global in vivo quantification of mouse oocyte phosphorylation. Of more than 8000 phosphosites, 75% significantly oscillate and 64% exhibit marked upregulation during meiotic maturation, indicative of the dominant regulatory role. Moreover, we identify numerous novel phosphosites on oocyte proteins and a few highly conserved phosphosites in oocytes from different species. Through functional perturbations, we demonstrate that phosphorylation status of specific sites participates in modulating critical events including metabolism, translation, and RNA processing during meiosis. Finally, we combine inhibitor screening and enzyme-substrate network prediction to discover previously unexplored kinases and phosphatases that are essential for oocyte maturation. In sum, our data define landscape of the oocyte phosphoproteome, enabling in-depth mechanistic insights into developmental control of germ cells.
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