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High-Resolution Pure Shift NMR Spectroscopy and Its Applications
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LIN Xiao-qing, LI Hong, ZHAN Hao-lin, DU Shi-jia, HUANG Yu-qing, CHEN Zhong
Chinese Journal of Magnetic Resonance, 2019, 36(4): 425-436.
DOI: 10.11938/cjmr20192777
Nuclear magnetic resonance (NMR) spectroscopy has found wide applications in fields of chemistry, biology, medicine, materials, etc, benefitting from its features of non-invasion, high resolution and high-throughput information. Recently, a high level of interest has reemerged in the development of pure shift NMR techniques which aim for significantly improving spectral resolution in overlapped regions. According to studies on new techniques and related applications by our group, herein we briefly review how pure shift technique is developed, and what would be next challenges in its development and extensive applications.
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A Deep Recursive Cascaded Convolutional Network for Parallel MRI
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CHENG Hui-tao, WANG Shan-shan, KE Zi-wen, JIA Sen, CHENG Jing, QIU Zhi-lang, ZHENG Hai-rong, LIANG Dong
Chinese Journal of Magnetic Resonance, 2019, 36(4): 437-445.
DOI: 10.11938/cjmr20192721
Fast magnetic resonance imaging (MRI) has been attracting more and more research interests in recent years. With the emergence of big data and development of advanced deep learning algorithms, neural network has become a common and effective tool for image reconstruction in fast MRI. One main challenge to the deep learning-based methods for fast MRI reconstruction is the trade-off between the network performance and the network capacity. Few previous studies have used the deep learning-based methods in parallel imaging. In this work, a deep recursive cascaded convolutional network (DRCCN) architecture was designed for parallel MRI, with reduced number of network parameters while maintaining a satisfactory performance. The experimental results demonstrated that, compared to the classical methods, image reconstruction with the well-trained DRCCN networks were more accurate and less time consuming.
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Conformational Change of Wild Type Cytochrome c Characterized by NMR Spectroscopy at Natural Isotropic Abundance
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FANG Zhong-pei, SUN Peng, WANG Qian-wen, ZHANG Liang, LIU Mai-li, ZHANG Xu
Chinese Journal of Magnetic Resonance, 2019, 36(4): 481-489.
DOI: 10.11938/cjmr20192740
Cytochrome c is an important multifunctional protein, which plays important roles in the respiratory chain and cell apoptosis. Characterization of conformational changes of cytochrome c is essential to elucidate the molecular mechanism underlying its functions. Isotope-labeled proteins are usually needed for nuclear magnetic resonance (NMR)-based protein structure elucidation. However, post-translational modification of cytochrome c makes it difficult to be labelled by isotopes. In this work, 1 H-13 C HSQC NMR experiment was used to characterize the conformational changes of naturally purified wild-type cytochrome c in the redox process, focusing on the side chain methyl groups. It was observed that this method could detect the signals of most methyl groups within 2 h, and the methyl groups detected with apparent chemical shift change were coincide with its conformation change. The results indicated that it is possible to use the method proposed to study the conformational changes of proteins at natural abundance or post-translational modified proteins.
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Effects of Co-Catalysts and Wavelength of Light on the Products of Photocatalytic Methanol Reforming: An Operando NMR Study
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YE Man, YANG Yi-ning, ZHANG Ran, WANG Xue-lu, YAO Ye-feng
Chinese Journal of Magnetic Resonance, 2019, 36(4): 490-501.
DOI: 10.11938/cjmr20192727
In operando nuclear magnetic resonance (in operando NMR) was used to investigate the effects of co-catalysts and wavelength of light on the products of photocatalytic methanol reforming, as well as the hydrogen production rate, in a real solid-liquid reaction environment. The results demonstrated that adding co-catalysts (i.e., anatase TiO2 modified with different isolated noble metal atoms) could affect the yields of reforming products to some extents, but had only little effects on the reaction kinetics. And the wavelength of light also had a large effect on the yields. It was concluded that the co-catalysts might play important roles in providing the redox capacity and the synergistic effects between methanol oxidation and hydrogen production.
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Thermally Triggered Self-Assembly of PSSS50 -b-PNIPAM300 in Binary Solvent Studied by NMR Spectroscopy
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ZHAO Zhi-hui, LIU Biao-lan, YAN Xiao-shuang, WU Shuai-shuai, RU Ge-ying, MAO Shi-zhen, Feng Ji-wen
Chinese Journal of Magnetic Resonance, 2019, 36(4): 502-509.
DOI: 10.11938/cjmr20192736
Thermo-responsiveness and self-assembly behaviors of poly(sodium-p-styrene sulfonate)-block-poly (N -isopropylacrylamide) (PSSS50 -b-PNIPAM300 ) in pure water and binary solvents (i.e., water/methanol and water/acetone) were investigated by 1 H NMR, dynamic light scattering (DLS), and transmission electron microscopy (TEM). It was found that the PNIPAM chains had a lower lowest critical solution temperature (LCST) in the water/methanol and water/acetone binary solvents than in water. Temperature-induced collapse of PNIPAM in water/acetone binary solvent was evidently weaker compared to the collapses in pure water and water/methanol binary solvent. The DLS and TEM results demonstrated that the self-assembly process and morphology of PSSS50 -b-PNIPAM300 in aqueous solution could be fine-tuned with the addition of small molecule solvent.
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Analysis of Metabolic Characteristics of SIRT7 Low Expression Glioma Cell Line Using NMR-Based Metabonomics
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SHAO Wei, LIN Qing-yuan, YANG Wen-sheng, HUANG Cai-hua, LIN Dong-hai
Chinese Journal of Magnetic Resonance, 2019, 36(4): 517-524.
DOI: 10.11938/cjmr20192774
Tumor is a metabolic disease. The effect of oncogene expression on the metabolism of cancer cells is one of the hotspots in cancer research. In this study, 1 H NMR-based metabonomics analysis was used to explore the metabolic characteristics of glioma cell lines with low expression of SIRT7 , and to identify the characteristic metabolites and metabolic pathways related to the expression of SIRT7 . The results showed that there were significant differences in metabolic profiles between the SIRT7 low expression group and the control group, and 22 aqueous metabolites were found to vary significantly. Compared with the control group, the concentration of 12 metabolites including lactate, glycine, and glutamate, and so on, increased in SIRT7 low expression glioma cell lines, while the concentration of 10 metabolites such as valine, leucine, lysine, et al. decreased. Pathway enrichment analysis indicated that the metabolic pathways of aminoacyl-tRNA biosynthesis, tyrosine metabolism, and so on, were closely related to the low expression of SIRT7 . The results provide a theoretical basis for further mechanism elucidation of SIRT7 regulating glioma cell metabolism.
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Mechanisms Underlying Chemoresistance of Choriocarcinoma Investigated with NMR-Based Metabonomics
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DING Lai-feng, ZHANG Cong-cong, HU Qing-yu, Olivier E. PARDO, Michael J. SECKL, WANG Yu-lan, WU Jun-fang
Chinese Journal of Magnetic Resonance, 2019, 36(4): 534-543.
DOI: 10.11938/cjmr20192719
Choriocarcinoma (CC) is a malignant trophoblastic tumor that occurs in women of childbearing age. Its cure rate could be over 90% following single drug or multidrug chemotherapy with methotrexate, 5-fluorouracil and etc. Chemoresistance is the main cause of treatment failure in CC, and the mechanisms have yet to be elucidated. Most of the previous works on the chemoresistance of CC focused on the transcript and protein levels, and much less attention was put on the metabolic level. In this study, the metabolomic phenotypes of two lines of CC cell, methotrexate-resistant cell (JEG3R) and methotrexate-sensitive cell (JEG3), as well as the medium extracts, were investigated using an NMR-based metabonomics method. The results showed that the chemoresistance of CC was likely related to disturbed glucose metabolism. Glucitol accumulation was observed only in the JEG3R cell line, suggesting the involvement of aldose reductase in the development of chemoresistance. In addition, methotrexate chemoresistance was also associated with lactate accumulation and stimulated alanine synthesis to fuel the Krebs cycle. The levels of amino acids, nucleotides and phosphocholine in the resistant line showed significant differences from the non-resistant line, and positive correlations with the proliferation rate of CC. This study provided insights into the chemoresistance of CC from the metabolism aspect.
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Intermolecular Double-Quantum Coherence NMR Spectroscopy of Fruits Under Inhomogeneous Field
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LI Zhen, CAI Hong-hao, LEI Guo-wei, LAI Zong-ying, WU Meng-jian, YAN Jin, PAN Shao-bin
Chinese Journal of Magnetic Resonance, 2019, 36(4): 563-570.
DOI: 10.11938/cjmr20192713
Nuclear magnetic resonance (NMR) spectroscopy is an effective way to obtain in situ chemical information in biological tissues, and used in various application fields, including biology, food and medicine. It is often desirable to acquire high-resolution spectra of obtain more information of the sample, such as J -couplings, split structure and etc. However, acquiring high-resolution spectra under inhomogeneous field can be challenging. It has been shown previously that intermolecular double-quantum coherence (iDQC) derived from remote dipole-dipole interactions are insensitive to magnetic field inhomogeneity, and can be utilized to obtain high-resolution spectra under inhomogeneous fields. In this work, the IDEAL-II sequence was used to detect iDQC in butyl methacrylate, tomato and watermelon under inhomogeneous fields to obtain high-resolution spectra of these samples. The results demonstrated that the iDQC technology may provide a valuable tool in food science research.