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| 1 | Fluid migration paths in the marine strata of typical structures in the western Hubei-eastern Chongqing area,China显示文摘The western Hubei-eastern Chongqing area is an important prospective zone for oil and gas exploration in the central Yangtze area. Three representative structures, the Xinchang structure, Longjuba gas-bearing structure and the Jiannan gas field, were selected to analyze biomarker parameters in marine strata and to examine various types of natural gas and hydrocarbon sources. Fluid inclusions; carbon, oxygen, and strontium isotopic characteristics; organic geochemical analysis and simulation of hydrocarbon generation and expulsion history of source rocks were used for tracing fluid migration paths in marine strata of the study area. The Carboniferous-Triassic reservoirs in three typical structures all experienced at least two stages of fluid accumulation. All marine strata above the early Permian were shown to have fluids originating in the Permian rocks, which differed from the late stage fluids. The fluids accumulated in the late Permian reservoirs of the Xinchang structure were Cambrian fluids, while those in the late Carboniferous reservoirs were sourced from a combination of Silurian and Cambrian fluids. A long-distance and large-scale cross-formational flow of fluids destroyed the preservation conditions of earlier accumulated hydrocarbons. A short-distance cross-formational accumulation of Silurian fluids was shown in the late Permian reservoirs of the Longjuba structure with favorable hydrocarbon preservation conditions. The fluid accumulation in the Carboniferous reservoirs of the Jiannan structure mainly originated from neighboring Silurian strata with a small amount from the Cambrian strata. As a result, the Jiannan structure was determined to have the best preservation conditions of the three. Comparative analysis of fluid migration paths in the three structures revealed that the zone with a weaker late tectonism and no superimposition and modification of the Upper and Lower Paleozoic fluids or the Upper Paleozoic zone with the fluid charging from the Lower Paleozoic in the western Hubei-eastern Chongqing area are important target areas for future exploration. | Xu Guosheng Liang Jiaju Gong Deyu Wang Guozhi Yuan Haifeng Cao Junxing Zhang Chengfu | 2013 | Petroleum Science2013，10，1： | 3 |
| 2 | AMPKα1 regulates Idh2 transcription through H2B O-GlcNAcylation during brown adipogenesis显示文摘AMP-activated protein kinase (AMPK) is indispensable for the development and maintenance of brown adipose tissue (BAT), and its activity is inhibited due to obesity. The isocitrate dehydrogenase 2 (IDH2) is a mitochondrial enzyme responsible for the production of α-ketoglutarate, a key intermediate metabolite integrating multiple metabolic processes. We previously found that AMPKα1 ablation reduced cellular α-ketoglutarate concentration during brown adipocyte differentiation, but the effect of AMPKα1 on Idh2 expression remains undefined. In the present study, mouse C3H10T1/2 cells were transfected with Idh2-CRISPR/Cas9, and induced to brown adipogenesis. Our data suggested that brown adipogenesis was compromised due to IDH2 deficiency in vitro, which was accompanied by down-regulation of PR-domain containing 16. Importantly, the IDH2 content was reduced in brown stromal vascular cells (BSVs) separated from AMPKα1 knockout (KO) BAT, which was associated with lower contents of histone 2B (H2B) O-GlcNAcylation and monoubiquitination. Furthermore, both GlcNAcylated-H2B (S112) and ubiquityl-histone 2B (K120) contents in the Idh2 promoter were decreased in AMPKα1 KO BSVs. Meanwhile, ectopic O-linked N-acetylglucosamine transferase (OGT) expression was positively correlated with Idh2 expression, while OGT (T444A) mutation abolished the regulatory effect of AMPKα1 on Idh2. In vivo, reduced AMPKα1 activity and lower IDH2 abundance were observed in BAT of obese mice when compared with those in control mice. Taken together, our data demonstrated that IDH2 is necessary for brown adipogenesis and that AMPKα1 deficiency attenuates Idh2 expression, which might be by suppressing H2B O-GlcNAcylation modification. | Yuxin Cao Xiangdong Liu Junxing Zhao Min Du | 2021 | Acta Biochimica et Biophysica Sinica2021，53，1： | 3 |
| 3 | Astragalus polysaccharide regulates brown adipogenic differentiation through miR-1258-5p-modulated cut-like homeobox 1 expression显示文摘Astragalus polysaccharide(APS)is the major natural active component of Astragalus membranaceus,which has been recognized as one of the most popular herbal medicines worldwide.Enhancing the formation and function of brown adipose tissue increases energy expenditure and hence may potentially be used against obesity and type 2 diabetes.The aim of the present study was to explore the effect and mechanism of APS on brown adipocyte formation.Mouse C3H10T 1/2 cells were subject to APS,and both proliferation and brown adipogenic differentiation were determined.The results showed that APS exhibits a decreased proliferation ability,which is accompanied by downregulated proliferating cell nuclear antigen,cyclin D1,and cyclin-dependent kinase 4.APS promotes the differentiation of C3H10T 1/2 cells into brown adipocytes and induces the expressions of key brown adipogenic transcriptional factors,including CCAAT/enhancer-binding proteinβ,uncoupling protein 1,and PR domain-containing 16.Importantly,APS enables insulin sensitization in brown adipocytes,which may proceed through activation of the canonical phosphatidylinositol-3-kinase(PI3K)/protein kinase B(AKT)signaling pathway and AMP-activated protein kinase(AMPK).Furthermore,the level of cut-like homeobox 1(CUX1)is positively related to brown adipogenic differentiation,while APS regulates Cux1 expression through interaction with miR-1258-5p.Notably,the promotional effect of APS on brown adipogenic differentiation was abolished by Cux1 knockout.Collectively,our results suggest that APS enhances the differentiation of C3H10T 1/2 cells into brown adipocytes through regulating Cux1 via miR-1258-5p. | Yuxin Cao Buhao Deng Shihe Zhang Hongmei Gao Pengkang Song Jianxin Zhang Junxing Zhao | 2021 | Acta Biochimica et Biophysica Sinica2021，53，12： | 1 |
| 4 | A comparative study on hydrocarbon detection using three EMI~based time-frequency analysis methods 显示文摘 | Yajuan Xue Junxing Cao Renfei Tian | 2013 | J ApplGeophys2013，89，： | 1 |
| 5 | S-wave velocity inversion and prediction using a deep hybrid neural network显示文摘The S-wave velocity is a critical petrophysical parameter in reservoir description,prestack seismic inversion,and geomechanical analysis.However,obtaining the S-wave velocity from field measurements is difficult.When no measured Swave data are available,petrophysical modelling provides the most accurate S-wave velocity prediction.However,because of the complexity of underground geological structures and diversity of rock minerals,the prediction results of petrophysical modelling are easily affected by factors such as the cognition and experience of the modeller.Therefore,the development of novel robust and simple S-wave velocity inversion and prediction methods independent of the modeller is critical.Inspired by ensemble learning and based on the geologic sedimentation law of reservoirs and their characteristics in logging response,an Swave velocity inversion and prediction method based on deep hybrid neural network was developed by combining the classical convolution neural network(CNN)with the long short-term memory(LSTM)network.Considering the conventional logging data such as acoustic and density as the input in the proposed method,the CNN was used to establish the nonlinear mapping relationship between the input data and S-wave velocity,and the LSTM network was used to integrate the vertical variation trend of the stratum.Thus,intelligent data-driven inversion and prediction of the S-wave velocity were realised.The experimental results revealed that the proposed method exhibited a strong generalisation ability and could obtain prediction results comparable to those of petrophysical modelling with a single-well data set for training.Thus,a novel methodology for robust and convenient S-wave velocity prediction was devised.The proposed method has considerable academic and application implications. | Jun WANG Junxing CAO Shuang ZHAO Qiaomu QI | 2022 | Science China Earth Sciences2022，65，4： | 0 |
| 6 | Prestack gathers feature enhancement method based on BEMD and CTKEO显示文摘The hydrocarbon detection method based on pre-stack gather data has higher accuracy and reliability than those methods based on post-stack data.This kind of method requires that pre-stack gather data have high SNR(Signal Noise Ratio)and obvious AVO(amplitude variation with offset)characteristics.Therefore,it is important to optimize the pre-stack gathers and enhance their AVO(Amplitude variation with offset)effect.This abstract proposes a gather optimization and AVO feature enhanced method for hydrocarbon detection.The gather optimization method based on the improved BEMD(bidimensional empirical mode decomposition).It starts from the original signal directly,and can be optimized as pre-stack gather steadily and quickly.Then,the characters of CTKEO(Corss Teager-Kaiser energy)algorithm which is strong sensitivity to interaction of two signals is fully utilized to enhance AVO features.The method proposed in this abstract provides a good data base for pre-stack inversion from gather optimization to AVO feature enhancement. | Xudong Jiang Junxing Cao ShaoChen Shi Zhaodong Su Tao Xiang | 2021 | Earthquake Research Advances2021，1，S01： | 0 |
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