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2. miR-194-3p regulates epithelial-mesenchymal transition in embryonic epicardial cells via p120/β-catenin signaling

Author

Xiong Tianhua, Wang Dinghui, Yang Huiping, Liu Bin, Li Yingrui, Yu Wenlong, Wang Jing, and She Qiang

Subjects
embryonic epicardial cells, epithelial-mesenchymal transition, development, miR-194-3p, p120-catenin, Biochemistry, QD415-436, Genetics, QH426-470
Abstract

The epicardium is integral to cardiac development and facilitates endogenous heart regeneration and repair. While miR-194-3p is associated with cellular migration and invasion, its impact on epicardial cells remains uncharted. In this work we use gain-of-function and loss-of-function methodologies to investigate the function of miR-194-3p in cardiac development. We culture embryonic epicardial cells in vitro and subject them to transforming growth factor β (TGF-β) treatment to induce epithelial-mesenchymal transition (EMT) and monitor miR-194-3p expression. In addition, the effects of miR-194-3p mimics and inhibitors on epicardial cell development and changes in EMT are investigated. To validate the binding targets of miR-194-3p and its ability to recover the target gene-phenotype, we produce a mutant vector p120-catenin-3′UTR-MUT. In epicardial cells, TGF-β-induced EMT results in a notable overexpression of miR-194-3p. The administration of miR-194-3p mimics promotes EMT, which is correlated with elevated levels of mesenchymal markers. Conversely, miR-194-3p inhibitor attenuates EMT. Further investigations reveal a negative correlation between miR-194-3p and p120-catenin, which influences β-catenin level in the cell adhesion pathway. The suppression of EMT caused by the miR-194-3p inhibitor is balanced by silencing of p120-catenin. In conclusion, miR-194-3p directly targets p120-catenin and modulates its expression, which in turn alters β-catenin expression, critically influencing the EMT process in the embryonic epicardial cells via the cell adhesion mechanism.

Published
2024
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18. Model-free predictive current control based on improved sliding mode disturbance observer.

Author

Wei, Qingkun, Tan, Cao, Hao, Mingji, Chen, Xuewei, Li, Yingrui, and Ge, Wenqing

Subjects
PERMANENT magnet motors, PERMANENT magnets, MAGNETIC declination, VOLTAGE control, ELECTRIC inductance
Abstract

The motor parameters of permanent magnet synchronous motor (PMSM) can be mismatched in operation due to temperature variations and magnetic saturation. The parameter mismatch leads to a significant decrease in the robustness of traditional deadbeat predictive current control (DPCC), which leads to issues such as current static error and motor vibration noise. In this paper, a model-free predictive current control (MFPCC) method based on an improved sliding mode disturbance observer (SMDO) was proposed. The method estimated the total disturbance of the system using the improved SMDO, which could effectively suppress sliding mode chattering and accelerate the convergence speed of current errors. Subsequently, the predicted control voltage was calculated using a hyper-local model and compensated for the time delay. The experimental results demonstrated that the improved MFPCC-SMDO method generated lower motor noise compared to the traditional DPCC method when the controller's inductance parameters are mismatched. [ABSTRACT FROM AUTHOR]

Published
2024
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30. A novel multi-dimensional coal and gangue X-ray sorting algorithm based on CdZnTe photon counting detectors.

Author

Kang, Yang, Wu, Rui, Li, Peizheng, Li, Qingpei, Wu, Sen, Tan, Tingting, Li, Yingrui, and Zha, Gangqiang

Subjects
PHOTON detectors, PHOTON counting, COAL, X-rays, ALGORITHMS, COAL combustion, PROBLEM solving
Abstract

BACKGROUND: The gangue content in coal seriously affects the calorific value produced by its combustion. In practical applications, gangue in coal needs to be completely separated. The pseudo-dual-energy X-ray method does not have high sorting accuracy. OBJECTIVE: This study aims to propose a novel multi-dimensional coal and gangue X-ray sorting algorithm based on CdZnTe photon counting detectors to solve the problem of coal and gangue sorting by X-ray. METHODS: This complete algorithm includes five steps: (1) Preferred energy bins, (2) transmittance sorting, (3) one-dimensional R-value sorting, (4) two-dimensional R-value sorting, and (5) three-dimensional R-value sorting. The output range of each step is determined by prior information from 65 groups of coal and gangue. An additional 110 groups of coal and gangue are employed experimentally to validate the algorithm's accuracy. RESULTS: Compared with the 60% sorting accuracy of the Pseudo-dual-energy method, the new algorithm reached a sorting accuracy of 99%. CONCLUSIONS: Study results demonstrate the superiority of this novel algorithm and its feasibility in practical applications. This novel algorithm can guide other two-substance X-ray sorting applications based on photon counting detectors. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Author

Bradnam, Keith R, Fass, Joseph N, Alexandrov, Anton, Baranay, Paul, Bechner, Michael, Birol, Inanç, Boisvert, Sébastien, Chapman, Jarrod A, Chapuis, Guillaume, Chikhi, Rayan, Chitsaz, Hamidreza, Chou, Wen-Chi, Corbeil, Jacques, Del Fabbro, Cristian, Docking, T, Durbin, Richard, Earl, Dent, Emrich, Scott, Fedotov, Pavel, Fonseca, Nuno A, Ganapathy, Ganeshkumar, Gibbs, Richard A, Gnerre, Sante, Godzaridis, Élénie, Goldstein, Steve, Haimel, Matthias, Hall, Giles, Haussler, David, Hiatt, Joseph B, Ho, Isaac Y, Howard, Jason, Hunt, Martin, Jackman, Shaun D, Jaffe, David B, Jarvis, Erich D, Jiang, Huaiyang, Kazakov, Sergey, Kersey, Paul J, Kitzman, Jacob O, Knight, James R, Koren, Sergey, Lam, Tak-Wah, Lavenier, Dominique, Laviolette, François, Li, Yingrui, Li, Zhenyu, Liu, Binghang, Liu, Yue, Luo, Ruibang, MacCallum, Iain, MacManes, Matthew D, Maillet, Nicolas, Melnikov, Sergey, Naquin, Delphine, Ning, Zemin, Otto, Thomas D, Paten, Benedict, Paulo, Octávio S, Phillippy, Adam M, Pina-Martins, Francisco, Place, Michael, Przybylski, Dariusz, Qin, Xiang, Qu, Carson, Ribeiro, Filipe J, Richards, Stephen, Rokhsar, Daniel S, Ruby, J, Scalabrin, Simone, Schatz, Michael C, Schwartz, David C, Sergushichev, Alexey, Sharpe, Ted, Shaw, Timothy I, Shendure, Jay, Shi, Yujian, Simpson, Jared T, Song, Henry, Tsarev, Fedor, Vezzi, Francesco, Vicedomini, Riccardo, Vieira, Bruno M, Wang, Jun, Worley, Kim C, Yin, Shuangye, Yiu, Siu-Ming, Yuan, Jianying, Zhang, Guojie, Zhang, Hao, Zhou, Shiguo, and Korf, Ian F

Abstract

Abstract Background The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly tools are available, but they differ greatly in terms of their performance (speed, scalability, hardware requirements, acceptance of newer read technologies) and in their final output (composition of assembled sequence). More importantly, it remains largely unclear how to best assess the quality of assembled genome sequences. The Assemblathon competitions are intended to assess current state-of-the-art methods in genome assembly. Results In Assemblathon 2, we provided a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and snake). This resulted in a total of 43 submitted assemblies from 21 participating teams. We evaluated these assemblies using a combination of optical map data, Fosmid sequences, and several statistical methods. From over 100 different metrics, we chose ten key measures by which to assess the overall quality of the assemblies. Conclusions Many current genome assemblers produced useful assemblies, containing a significant representation of their genes and overall genome structure. However, the high degree of variability between the entries suggests that there is still much room for improvement in the field of genome assembly and that approaches which work well in assembling the genome of one species may not necessarily work well for another.

Published
2013

33. Estimation of allele frequency and association mapping using next-generation sequencing data

Author

Kim, Su, Lohmueller, Kirk E, Albrechtsen, Anders, Li, Yingrui, Korneliussen, Thorfinn, Tian, Geng, Grarup, Niels, Jiang, Tao, Andersen, Gitte, Witte, Daniel, Jorgensen, Torben, Hansen, Torben, Pedersen, Oluf, Wang, Jun, and Nielsen, Rasmus

Abstract

Abstract Background Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing, a cost effective approach is to use medium or low-coverage data (e.g., < 15X). However, SNP calling and allele frequency estimation in such studies is associated with substantial statistical uncertainty because of varying coverage and high error rates. Results We evaluate a new maximum likelihood method for estimating allele frequencies in low and medium coverage next-generation sequencing data. The method is based on integrating over uncertainty in the data for each individual rather than first calling genotypes. This method can be applied to directly test for associations in case/control studies. We use simulations to compare the likelihood method to methods based on genotype calling, and show that the likelihood method outperforms the genotype calling methods in terms of: (1) accuracy of allele frequency estimation, (2) accuracy of the estimation of the distribution of allele frequencies across neutrally evolving sites, and (3) statistical power in association mapping studies. Using real re-sequencing data from 200 individuals obtained from an exon-capture experiment, we show that the patterns observed in the simulations are also found in real data. Conclusions Overall, our results suggest that association mapping and estimation of allele frequencies should not be based on genotype calling in low to medium coverage data. Furthermore, if genotype calling methods are used, it is usually better not to filter genotypes based on the call confidence score.

Published
2011

37. Phylogenomics resolves the timing and pattern of insect evolution

Author

Misof, Bernhard, Liu, Shanlin, Meusemann, Karen, Peters, Ralph S., Donath, Alexander, Mayer, Christoph, Frandsen, Paul B., Ware, Jessica, Flouri, Tomáš, Beutel, Rolf G., Niehuis, Oliver, Petersen, Malte, Izquierdo-Carrasco, Fernando, Wappler, Torsten, Rust, Jes, Aberer, Andre J., Aspöck, Ulrike, Aspöck, Horst, Bartel, Daniela, Blanke, Alexander, Berger, Simon, Böhm, Alexander, Buckley, Thomas R., Calcott, Brett, Chen, Junqing, Friedrich, Frank, Fukui, Makiko, Fujita, Mari, Greve, Carola, Grobe, Peter, Gu, Shengchang, Huang, Ying, Jermiin, Lars S., Kawahara, Akito Y., Krogmann, Lars, Kubiak, Martin, Lanfear, Robert, Letsch, Harald, Li, Yiyuan, Li, Zhenyu, Li, Jiguang, Lu, Haorong, Machida, Ryuichiro, Mashimo, Yuta, Kapli, Pashalia, McKenna, Duane D., Meng, Guanliang, Nakagaki, Yasutaka, Navarrete-Heredia, José Luis, Ott, Michael, Ou, Yanxiang, Pass, Günther, Podsiadlowski, Lars, Pohl, Hans, von Reumont, Björn M., Schütte, Kai, Sekiya, Kaoru, Shimizu, Shota, Slipinski, Adam, Stamatakis, Alexandros, Song, Wenhui, Su, Xu, Szucsich, Nikolaus U., Tan, Meihua, Tan, Xuemei, Tang, Min, Tang, Jingbo, Timelthaler, Gerald, Tomizuka, Shigekazu, Trautwein, Michelle, Tong, Xiaoli, Uchifune, Toshiki, Walzl, Manfred G., Wiegmann, Brian M., Wilbrandt, Jeanne, Wipfler, Benjamin, Wong, Thomas K. F., Wu, Qiong, Wu, Gengxiong, Xie, Yinlong, Yang, Shenzhou, Yang, Qing, Yeates, David K., Yoshizawa, Kazunori, Zhang, Qing, Zhang, Rui, Zhang, Wenwei, Zhang, Yunhui, Zhao, Jing, Zhou, Chengran, Zhou, Lili, Ziesmann, Tanja, Zou, Shijie, Li, Yingrui, Xu, Xun, Zhang, Yong, Yang, Huanming, Wang, Jian, Wang, Jun, Kjer, Karl M., and Zhou, Xin

Published
2014

38. Activating hotspot L205R mutation in PRKACA and adrenal Cushing's syndrome

Author

Cao, Yanan, He, Minghui, Gao, Zhibo, Peng, Ying, Li, Yanli, Li, Lin, Zhou, Weiwei, Li, Xiangchun, Zhong, Xu, Lei, Yiming, Su, Tingwei, Wang, Hang, Jiang, Yiran, Yang, Lin, Wei, Wei, Yang, Xu, Jiang, Xiuli, Liu, Li, He, Juan, Ye, Junna, Wei, Qing, Li, Yingrui, Wang, Weiqing, Wang, Jun, and Ning, Guang

Published
2014

39. Whole-genome sequencing of cultivated and wild peppers provides insights into Capsicum domestication and specialization

Author

Qin, Cheng, Yu, Changshui, Shen, Yaou, Fang, Xiaodong, Chen, Lang, Min, Jiumeng, Cheng, Jiaowen, Zhao, Shancen, Xu, Meng, Luo, Yong, Yang, Yulan, Wu, Zhiming, Mao, Likai, Wu, Haiyang, Ling-Hu, Changying, Zhou, Huangkai, Lin, Haijian, González-Morales, Sandra, Trejo-Saavedra, Diana L., Tian, Hao, Tang, Xin, Zhao, Maojun, Huang, Zhiyong, Zhou, Anwei, Yao, Xiaoming, Cui, Junjie, Li, Wenqi, Chen, Zhe, Feng, Yongqiang, Niu, Yongchao, Bi, Shimin, Yang, Xiuwei, Li, Weipeng, Cai, Huimin, Luo, Xirong, Montes-Hernández, Salvador, Leyva-González, Marco A., Xiong, Zhiqiang, He, Xiujing, Bai, Lijun, Tan, Shu, Tang, Xiangqun, Liu, Dan, Liu, Jinwen, Zhang, Shangxing, Chen, Maoshan, Zhang, Lu, Zhang, Li, Zhang, Yinchao, Liao, Weiqin, Zhang, Yan, Wang, Min, Lv, Xiaodan, Wen, Bo, Liu, Hongjun, Luan, Hemi, Zhang, Yonggang, Yang, Shuang, Wang, Xiaodian, Xu, Jiaohui, Li, Xueqin, Li, Shuaicheng, Wang, Junyi, Palloix, Alain, Bosland, Paul W., Li, Yingrui, Krogh, Anders, Rivera-Bustamante, Rafael F., Herrera-Estrella, Luis, Yin, Ye, Yu, Jiping, Hu, Kailin, and Zhang, Zhiming

Published
2014

40. Association Analysis of the MHC in Lupus Nephritis

Author

Xu, Ricong, Li, Qibin, Liu, Rongjun, Shen, Juan, Li, Ming, Zhao, Minghui, Wang, Meng, Liao, Qijun, Mao, Haiping, Li, Zhijian, Zhou, Na, Yin, Peiran, Li, Yue, Tang, Xueqing, Wu, Tian, Zhong, Zhong, Wang, Yan, Ai, Zhen, Wang, Ou, Chen, Nan, Yang, Xiaoqin, Fang, Junbin, Fu, Ping, Gu, Jieruo, Ye, Kun, Chen, Jian, Dai, Lie, Liu, Huafeng, Liu, Zhangsuo, Liao, Yunhua, Wan, Jianxin, Ding, Guohua, Zhao, Jinghong, Zhang, Hao, Fu, Shuxia, Sun, Liangdan, Zhang, Xuejun, Yang, Huanming, Wang, Jian, Wang, Jun, Liu, Jianjun, Li, Yingrui, and Yu, Xueqing

Published
2017
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43. Historical variations in mutation rate in an epidemic pathogen, Yersinia pestis

Author

Cui, Yujun, Yu, Chang, Yan, Yanfeng, Li, Dongfang, Li, Yanjun, Jombart, Thibaut, Weinert, Lucy A., Wang, Zuyun, Guo, Zhaobiao, Xu, Lizhi, Zhang, Yujiang, Zheng, Hancheng, Qin, Nan, Xiao, Xiao, Wu, Mingshou, Wang, Xiaoyi, Zhou, Dongsheng, Qi, Zhizhen, Du, Zongmin, Wu, Honglong, Yang, Xianwei, Cao, Hongzhi, Wang, Hu, Wang, Jing, Yao, Shusen, Rakin, Alexander, Li, Yingrui, Falush, Daniel, Balloux, Francois, Achtman, Mark, Song, Yajun, Wang, Jun, and Yang, Ruifu

Published
2013

44. Novel insights in the pathomechanism of Brugada syndrome and fever‐related type 1 ECG changes in a preclinical study using human‐induced pluripotent stem cell‐derived cardiomyocytes.

Author

Li, Yingrui, Dinkel, Hendrik, Pakalniskyte, Dalia, Busley, Alexandra Viktoria, Cyganek, Lukas, Zhong, Rujia, Zhang, Feng, Xu, Qiang, Maywald, Lasse, Aweimer, Assem, Huang, Mengying, Liao, Zhenxing, Meng, Zenghui, Yan, Chen, Prädel, Timo, Rose, Lena, Moscu‐Gregor, Alexander, Hohn, Alyssa, Yang, Zhen, and Qiao, Lin

Subjects
*SODIUM channels, *BRUGADA syndrome, *PLURIPOTENT stem cells, *CARDIAC arrest, *ACTION potentials, *PI3K/AKT pathway, *PHENOTYPIC plasticity
Abstract

Background: Brugada syndrome (BrS) is causing sudden cardiac death (SCD) mainly at young age. Studying the underlying mechanisms associated with BrS type I electrocardiogram (ECG) changes in the presence of fever and roles of autophagy for BrS remains lacking. Objectives: We sought to study the pathogenic role of an SCN5A gene variant for BrS with fever‐induced type 1 ECG phenotype. In addition, we studied the role of inflammation and autophagy in the pathomechanism of BrS. Methods: Human‐induced pluripotent stem cell (hiPSC) lines from a BrS patient harboring a pathogenic variant (c.3148G>A/p. Ala1050Thr) in SCN5A and two healthy donors (non‐BrS) and a CRISPR/Cas9 site‐corrected cell line (BrS‐corr) were differentiated into cardiomyocytes (hiPSC‐CMs) for the study. Results: Reductions of Nav1.5 expression, peak sodium channel current (INa) and upstroke velocity (Vmax) of action potentials with an increase in arrhythmic events were detected in BrS compared to non‐BrS and BrS‐corr cells. Increasing the cell culture temperature from 37 to 40°C (fever‐like state) exacerbated the phenotypic changes in BrS cells. The fever‐effects were enhanced by protein kinase A (PKA) inhibitor but reversed by PKA activator. Lipopolysaccharides (LPS) but not increased temperature up to 40°C enhanced the autophagy level in BrS‐hiPSC‐CMs by increasing reactive oxidative species and inhibiting PI3K/AKT signalling, and hence exacerbated the phenotypic changes. LPS enhanced high temperature‐related effect on peak INa shown in BrS hiPSC‐CMs. Effects of LPS and high temperature were not detected in non‐BrS cells. Conclusions: The study demonstrated that the SCN5A variant (c.3148G>A/p.Ala1050Thr) caused loss‐of‐function of sodium channels and increased the channel sensitivity to high temperature and LPS challenge in hiPSC‐CMs from a BrS cell line with this variant but not in two non‐BrS hiPSC‐CM lines. The results suggest that LPS may exacerbate BrS phenotype via enhancing autophagy, whereas fever may exacerbate BrS phenotype via inhibiting PKA‐signalling in BrS cardiomyocytes with but probably not limited to this variant. [ABSTRACT FROM AUTHOR]

Published
2023
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45. A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

Author

1000 Genomes Project Consortium, MacArthur, Daniel G., Balasubramanian, Suganthi, Frankish, Adam, Huang, Ni, Morris, James, Walter, Klaudia, Jostins, Luke, Habegger, Lukas, Pickrell, Joseph K., Montgomery, Stephen B., Albers, Cornelis A., Zhang, Zhengdong D., Conrad, Donald F., Lunter, Gerton, Zheng, Hancheng, Ayub, Qasim, DePristo, Mark A., Banks, Eric, Hu, Min, Handsaker, Robert E., Rosenfeld, Jeffrey A., Fromer, Menachem, Jin, Mike, Mu, Xinmeng Jasmine, Khurana, Ekta, Ye, Kai, Kay, Mike, Saunders, Gary Ian, Suner, Marie-Marthe, Hunt, Toby, Barnes, H. A., Amid, Clara, Carvalho-Silva, Denise R., Bignell, Alexandra H., Snow, Catherine, Yngvadottir, Bryndis, Bumpstead, Suzannah, Cooper, David N., Xue, Yali, Romero, Irene Gallego, Wang, Jun, Li, Yingrui, Gibbs, Richard A., McCarroll, Steven A., Dermitzakis, Emmanouil T., Pritchard, Jonathan K., Barrett, Jeffrey C., Harrow, Jennifer, Hurles, Matthew E., Gerstein, Mark B., and Tyler-Smith, Chris

Published
2012
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46. Extensive X-linked adaptive evolution in central chimpanzees

Author

Hvilsom, Christina, Qian, Yu, Bataillon, Thomas, Li, Yingrui, Mailund, Thomas, Sallé, Bettina, Carlsen, Frands, Li, Ruiqiang, Zheng, Hancheng, Jiang, Tao, Jiang, Hui, Jin, Xin, Munch, Kasper, Hobolth, Asger, Siegismund, Hans R., Wang, Jun, and Schierup, Mikkel Heide

Published
2012

47. Archaeology Augments Tibet's Genetic History [Response]

Author

BRANTINGHAM, P. JEFFREY, RHODE, DAVID, MADSEN, DAVID B., YI, XIN, LIANG, YU, HUERTA-SANCHEZ, EMILIA, JIN, XIN, CUO, ZHA XI PING, POOL, JOHN E., XU, XUN, JIANG, HUI, VINCKENBOSCH, NICOLAS, KORNELIUSSEN, THORFINN SAND, ZHENG, HANCHENG, LIU, TAO, HE, WEIMING, LI, KUI, LUO, RUIBANG, NIE, XIFANG, WU, HONGLONG, ZHAO, MEIRU, CAO, HONGZHI, ZOU, JING, SHAN, YING, LI, SHUZHENG, YANG, QI, ASAN, NI, PEIXIANG, TIAN, GENG, XU, JUNMING, LIU, XIAO, JIANG, TAO, WU, RENHUA, ZHOU, GUANGYU, TANG, MEIFANG, QIN, JUNJIE, WANG, TONG, FENG, SHUIJIAN, LI, GUOHONG, LUOSANG, JIANGBAI, WANG, WEI, CHEN, FANG, WANG, YADING, ZHENG, XIAOGUANG, LI, ZHUO, BIANBA, ZHUOMA, YANG, GE, WANG, XINPING, TANG, SHUHUI, GAO, GUOYI, CHEN, YONG, LUO, ZHEN, GUSANG, LAMU, CAO, ZHENG, ZHANG, QINGHUI, OUYANG, WEIHAN, REN, XIAOLI, LIANG, HUIQING, ZHENG, HUISONG, HUANG, YEBO, LI, JINGXIANG, BOLUND, LARS, KRISTIANSEN, KARSTEN, LI, YINGRUI, ZHANG, YONG, ZHANG, XIUQING, LI, RUIQIANG, LI, SONGGANG, YANG, HUANMING, NIELSEN, RASMUS, WANG, JUN, and WANG, JIAN

Published
2010

48. Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude

Author

Yi, Xin, Liang, Yu, Huerta-Sanchez, Emilia, Jin, Xin, Cuo, Zha Xi Ping, Pool, John E., Xu, Xun, Jiang, Hui, Vinckenbosch, Nicolas, Korneliussen, Thorfinn Sand, Zheng, Hancheng, Liu, Tao, He, Weiming, Li, Kui, Luo, Ruibang, Nie, Xifang, Wu, Honglong, Zhao, Meiru, Cao, Hongzhi, Zou, Jing, Shan, Ying, Li, Shuzheng, Yang, Qi, Asan, Ni, Peixiang, Tian, Geng, Xu, Junming, Liu, Xiao, Jiang, Tao, Wu, Renhua, Zhou, Guangyu, Tang, Meifang, Qin, Junjie, Wang, Tong, Feng, Shuijian, Li, Guohong, Huasang, Luosang, Jiangbai, Wang, Wei, Chen, Fang, Wang, Yading, Zheng, Xiaoguang, Li, Zhuo, Bianba, Zhuoma, Yang, Ge, Wang, Xinping, Tang, Shuhui, Gao, Guoyi, Chen, Yong, Luo, Zhen, Gusang, Lamu, Cao, Zheng, Zhang, Qinghui, Ouyang, Weihan, Ren, Xiaoli, Liang, Huiqing, Zheng, Huisong, Huang, Yebo, Li, Jingxiang, Bolund, Lars, Kristiansen, Karsten, Li, Yingrui, Zhang, Yong, Zhang, Xiuqing, Li, Ruiqiang, Li, Songgang, Yang, Huanming, Nielsen, Rasmus, Wang, Jun, and Wang, Jian

Published
2010

49. Deciphering the pathogenic role of a variant with uncertain significance for short QT and Brugada syndromes using gene-edited human-induced pluripotent stem cell-derived cardiomyocytes and preclinical drug screening

Author

El-Battrawy, Ibrahim, Lan, Huan, Cyganek, Lukas, Maywald, Lasse, Zhong, Rujia, Zhang, Feng, Xu, Qiang, Lee, Jihyun, Duperrex, Eliane, Hierlemann, Andreas, Saguner, Ardan M, Duru, Firat, Kovacs, Boldizsar, Huang, Mengying, Liao, Zhenxing, Albers, Sebastian, Müller, Jonas, Dinkel, Hendrik, Rose, Lena, Hohn, Alyssa, Yang, Zhen, Qiao, Lin, Li, Yingrui, Lang, Siegfried, Kleinsorge, Mandy, Mügge, Andreas, Aweimer, Assem, Fan, Xuehui, Diecke, Sebastian, Akin, Ibrahim, et al, and University of Zurich

Subjects
10209 Clinic for Cardiology, 610 Medicine & health
Published
2021

50. Complete Resequencing of 40 Genomes Reveals Domestication Events and Genes in Silkworm (Bombyx)

Author

Xia, Qingyou, Guo, Yiran, Zhang, Ze, Li, Dong, Xuan, Zhaoling, Li, Zhuo, Dai, Fangyin, Li, Yingrui, Cheng, Daojun, Li, Ruiqiang, Cheng, Tingcai, Jiang, Tao, Becquet, Celine, Xu, Xun, Liu, Chun, Zha, Xingfu, Fan, Wei, Lin, Ying, Shen, Yihong, Jiang, Lan, Jensen, Jeffrey, Hellmann, Ines, Tang, Si, Zhao, Ping, Xu, Hanfu, Yu, Chang, Zhang, Guojie, Li, Jun, Cao, Jianjun, Liu, Shiping, He, Ningjia, Zhou, Yan, Liu, Hui, Zhao, Jing, Ye, Chen, Du, Zhouhe, Pan, Guoqing, Zhao, Aichun, Shao, Haojing, Zeng, Wei, Wu, Ping, Li, Chunfeng, Pan, Minhui, Li, Jingjing, Yin, Xuyang, Li, Dawei, Wang, Juan, Zheng, Huisong, Wang, Wen, Zhang, Xiuqing, Li, Songgang, Yang, Huanming, Lu, Cheng, Nielsen, Rasmus, Zhou, Zeyang, Wang, Jian, Xiang, Zhonghuai, and Wang, Jun

Published
2009
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