下载数据
悟空：快速查看与分析数据云平台
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¤ Published Tools: 1. NAguideR；
2. MetaboGroupS；
3. motifeR；
4. pseudoQC；
5. MSpectraAI；
6. MixProTool；
7. EnrichVisBox；
8. StatsPro。
¤ 本平台基于R语言开发，旨在辅助您快速分析各类组学或数值数据表格，包括数据前处理，统计分析，功能分析，可视化作图，机器学习和各类基于R开发的分析工具。时时展现结果，人机交互友好。我们同时也收集可视化了各种回归模型，分类模型等，方便大家理解与使用。
¤ 本平台第五版以后开发的模块，需要注册以后才能使用，若您还未有账号，请到这里先简单注册一下：注册。
¤ 本平台由上海易算生物科技有限公司承载运营。
¤ 如需进一步帮助交流或者开发需求和建议，请加入我们的讨论群：688728477。
¤ 如您有较复杂的组学数据定制化分析需求，或有蛋白质、代谢组检测需求，质谱平台软硬件和实验设计采购需求，请联系上海易算生物科技有限公司。
® 悟空平台功能囊括上百个模块，包括且远不止以下功能：
¤ 使用悟空云平台，需要引用以下文章（请按需引用）：
1. (2023) Wenping Zhou, Wenxue Li, Shisheng Wang （共一作） , ..., William C. Sessa & Yansheng Liu, An optogenetic-phosphoproteomic study reveals dynamic Akt1 signaling profiles in endothelial cells. Nature Communications 14, 3803. (2021 IF: 17.7). Link to article.
2. (2023) Hongwen Zhu, Youpei Lin, Dayun Lu, Shisheng Wang （共一作） , ..., Qiang Gao & Hu Zhou, Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma. National Science Review, nwad167. (2021 IF: 23.2). Link to article.
3. (2023) Jinxi Yang, Na Shi, Shisheng Wang （共一作） , ..., Qing Xia*, Dan Du*, Multi-dimensional metabolomic profiling reveals dysregulated ornithine metabolism hallmarks associated with a severe acute pancreatitis phenotype. Translational Research. (2022 IF: 7.8). Link to article.
4. (2020) Shisheng Wang , Wenxue Li, Liqiang Hu, Jingqiu Cheng, Hao Yang, Yansheng Liu, NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses, Nucleic Acids Research, gkaa498. (2021 IF: 19.16). Link to article.
5. (2022) Huilin Yu, Haiyu Luo, Luping Chang, <b>Shisheng Wang</b> （共一作） , ..., Hao Yang, Wenying Fan & Bing-Qiao Zhao, The NEDD8-activating enzyme inhibitor MLN4924 reduces ischemic brain injury in mice. Proceedings of the National Academy of Sciences, 119(6). (2021 IF: 12.779). Link to article.
6. (2022) Yi Zhong <b>Shisheng Wang</b> (共通讯) , et al. Proteome and phosphoproteome profiling of non-small cell lung cancer cell line A549 treated with TRAIL, Proteomics, 10.1002/pmic.202200248. (2021 IF: 5.393). Link to article.
7. (2021) <b>Shisheng Wang</b> , et al. StatsPro: Systematic integration and evaluation of statistical approaches for detecting differential expression in label-free quantitative proteomics, Journal of Proteomics, 10.1016/j.jprot.2021.104386. (2020 IF: 4.04). Link to article.
8. (2021) <b>Shisheng Wang</b> , Yi Zhong, Jingqiu Cheng, Hao Yang, EnrichVisBox: A Versatile and Powerful Web Toolbox for Visualizing Complex Functional Enrichment Results of Omics Data, Journal of computational biology, 10.1089/cmb.2020.0564. (2020 IF: 1.479). Link to article.
9. (2020) <b>Shisheng Wang</b> , Hongwen Zhu, Hu Zhou, Jingqiu Cheng and Hao Yang. MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks. BMC Bioinformatics 21, 439 (2020). (2019 IF: 3.242). Link to article.
10. (2019) <b>Shisheng Wang</b> , Yue Cai, Jingqiu Cheng, Wenxue Li, Yansheng Liu and Hao Yang. motifeR: An Integrated Web Software for Identification and Visualization of Protein Post‐Translational Modification Motifs. Proteomics: 201900245. (2018 IF: 3.106). Link to article.
11. (2019) <b>Shisheng Wang</b> and Hao Yang. pseudoQC: A Regression‐Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets. Proteomics: 1900264. (2018 IF: 3.106). Link to article.
12. (2018) <b>Shisheng Wang</b> , ..., and Meng Gong. MetaboGroupS: A Group Entropy-Based Web Platform for Evaluating Normalization Methods in Blood Metabolomics Data from Maintenance Hemodialysis Patients. Anal Chem 90, 11124-11130. (2017 IF: 6.042). Link to article.
13. (2018) <b>Shisheng Wang</b> , ..., and Hao Yang. MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data. Journal of computational biology : a journal of computational molecular cell biology 25, 1123-1127. (2017 IF: 1.191). Link to article.
14. (2018) Qing-Run Li, Shi-Sheng Wang(共一作) , Hong-Wen Zhu, Fang-Ying Xia, Peter Roepstorff, Jia-Rui Wu, and Rong Zeng. Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites. bioRxiv: 464545. Link to article.
¤ 使用悟空云平台，可在文章中如下描述：
1) 比如在正文Methods部分：We use 'Wu Kong' platform (https://www.omicsolution.com/wkomics/main/) for relative xxx analysis.
2) 比如在致谢(Acknowledgements)部分：Thank Dr. Shisheng Wang (West China Hospital, Sichuan University) and Dr. Chengpin Shen (Omicsolution Co., Ltd) for giving some advices about data analysis and 'Wu Kong' platform (https://www.omicsolution.com/wkomics/main/) for relative xxx analysis.
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本网站目前支持的数据格式主要有：
1> .xlsx格式;
2> .xls格式;
3> .csv格式;
4> .txt格式;
5> .fasta格式。
该类数据形式一般为：行名为对象名称（比如鉴定到的每一个蛋白质或者基因名称，或者相对应的ID号）；列名是每个样本的名字；数值代表的是定量强度值或者log变换值。比如下面的数据，行名是鉴定到蛋白质的Uniprot ID号，列名是每个样本的名字，数值是定量的强度值：
定量强度数据
该类数据形式一般为：行名为对象名称（比如鉴定到的每一个蛋白质或者基因名称，或者相对应的ID号）；列名是每个样本的名字；数值代表的是定量的比值。比如下面的数据，行名是鉴定到蛋白质的Uniprot ID号，列名是每个样本的名字，数值是定量比值：
该类数据形式一般为：只有一列数据，也就是鉴定到的蛋白质或者基因名称，或者对应的ID号。比如下面的数据，其为鉴定到蛋白质的Uniprot ID号
数据前处理：
统计分析工具：
功能分析工具：
数据可视化工具：
医学数据分析：
googlescholarR：
此模块主要是为了更加方便国内小伙伴们的文献查询，该模块和《sci-hub文献搜索》模块配合使用，效果更佳哦: https://www.omicsolution.com/wkomics/passwd/googlescholarR
Sci-hub文献查询：
Sci-hub维基百科介绍:https://en.wikipedia.org/wiki/Sci-Hub。该模块主要是将常用链接汇聚在一起，替小伙伴们去尝试哪一个可用，这会节省小伙伴不少时间。 https://www.omicsolution.com/wkomics/passwd/scihubsousuo
PubMed查询与分析：
PubMed官网介绍:https://www.ncbi.nlm.nih.gov/books/NBK3827/。该模块参考PubMed数据库中的记录，可帮助您查找您所关心的一些课题或者研究对象的相关资料。 https://www.omicsolution.com/wkomics/passwd/pubmedchaxun
googlefilterR：
该模块的搜索结果主要与R语言相关的，相当于对Google的搜索结果做了一些过滤，更加方便R语言用户的查询。 https://www.omicsolution.com/wkomics/passwd/googlefilterR
监控CRAN官网函数包：
该模块主要是对CRAN（官网：https://www.r-project.org/）上的R函数包进行监控，方便大家查看CRAN上函数包的变化，以及查找最新更新的包和删除的包，以求让大家更加及时有效的掌握R包的最新动态。 https://www.omicsolution.com/wkomics/passwd/RPdingshi
快速选择R包：
该模块主要是对CRAN（官网：https://www.r-project.org/）上的R函数包进行分析，方便大家根据关键字快速找到相应的R包，然后去学习使用。 https://www.omicsolution.com/wkomics/passwd/selectRP
书籍搜索：
该模块主要是提供书籍下载过渡链接，主要基于Library Genesis来源，此模块只是提供一个过渡，以求更加方便国内小伙伴使用。 https://www.omicsolution.com/wkomics/passwd/scitechbooks
ViziometricsR：
该模块主要方便于国内用户使用Viziometrics进行查询相关资料，官网：http://viziometrics.org/search/。 https://www.omicsolution.com/wkomics/passwd/viziometricsR
回归模型汇总：
监督学习模型汇总：
非监督学习模型汇总：
PDF文本挖掘：
该模块主要是方便大家对pdf文本，比如相关文献，进行文本挖掘，看其所包含的主要词汇有哪些。 https://www.omicsolution.com/wkomics/passwd/pdftext
线条流动图内容：
该模块主要是将线条的速度根据图片像素的大小进行控制，从而展现出相应的波动图。 https://www.omicsolution.com/wkomics/passwd/funbodong
简要介绍：
该模块基本涵盖了蛋白质组学分析所用的常用框架，主要包括：数据筛选--缺失值处理--数据质量控制--假设检验--火山图--PCA、PLS-DA、OPLS-DA--HCA、MFUZZ--GO富集分析--KEGG富集分析--KEGG通路图--STRING网络图。点击这里开始体验吧^_^: https://www.omicsolution.com/wkomics/passwd/modelchuanshao1
其示意图如下：
简要介绍：
该模块基本涵盖了代谢组学分析所用的常用框架，主要包括：数据筛选--缺失值处理--数据质量控制--假设检验--火山图--多元统计方法（HCA、PCA、PLS-DA、OPLS-DA）--通路富集分析。点击这里开始体验吧^_^: https://www.omicsolution.com/wkomics/passwd/modelchuanshao2
其示意图如下：
简要介绍：
该模块基本上是‘串烧斗勺版’的翻版，只不过是已经发表了的模块，使用悟空云平台，欢迎引用我们的文章：《<b>Shisheng Wang</b>, Wen Zheng, Liqiang Hu, Meng Gong, and Hao Yang. MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data. Journal of Computational Biology (2018).10.1089/cmb.2018.0050.》。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/MixProTool
其示意图如下：
简要介绍：
该模块利用组熵的概念去评价多种标准化方法，从而选出较为适合你数据的方法。使用悟空云平台，欢迎引用我们的文章：《<b>Shisheng Wang</b>, Xiaolei Chen, Dan Du, Wen Zheng, Liqiang Hu, Hao Yang, Jingqiu Cheng, and Meng Gong. "MetaboGroupS: A Group Entropy-based Web Platform for Evaluating Normalization Methods in Blood Metabolomics Data from Maintenance Hemodialysis Patients." Analytical chemistry (2018).DOI: 10.1021/acs.analchem.8b03065》。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/MetaboGroupS
其示意图如下：
简要介绍：
该模块基本涵盖了Weighted correlation network analysis（WGCNA）分析所用的常用功能，其官网：https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA，参考文献：doi:10.1186/1471-2105-9-559，更多详尽介绍可到其官网进行查看。点击这里开始体验吧^_^: https://www.omicsolution.com/wkomics/passwd/wgcnapart1
其示意图如下：
简要介绍：
该模块目前主要利用四种常用的回归模型，从蛋白质组或者代谢组的样本数据中对质控数据（Quality Control）进行模拟（即‘拟质控数据’或‘伪质控数据’，pseudoQC）。可能应用的场景有：1. 数据中没有QC样本的；2. QC数据质量不是很好的。尤其是当数据出现较为严重的批次效应时，该工具可能可以提供一种尝试。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/pseudoQC
其示意图如下：
简要介绍：
该模块目前主要用于蛋白（肽段）翻译后修饰motif分析，除了传统的一类位点分析以外，其还可以分析多位点的motif以及非一类位点的motif，也许该工具可以帮助你发现新的有意思的motif。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/motifeR
其示意图如下：
简要介绍：
NAguideR主要用于系统性处理缺失值填充的问题（missing value imputation），其汇集了23种常用的缺失值填充的方法，并提供2套评价的标准（经典型[classic criteria]和基于蛋白质组信息型[proteomic criteria]），每一套标准又细分4个指标。通过这些指标的打分，期望能在缺失值方法的选择上给予用户一定的提示。该工作主要以蛋白质组学DIA数据为例进行研究分析，但是在分析的过程中作者也发现，该工具亦可应用于蛋白质组学其他模式的数据、以及代谢组或者基因组的数据。此外该工具开源，支持网络版和本地版，对于有编程基础的同志来说，也可以到站主的GitHub上去下载。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/NAguideR
其示意图如下：
简要介绍：
EnrichVisBox主要用于对富集分析的结果进行可视化，整合了目前多种富集结果可视化形式。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/EnrichVisBox
其示意图如下：
简要介绍：
StatsPro主要整合了18种常用的计算P值所使用的的统计学方法，计算效应值，并给出了3种评价指标，期望能给研究人员在寻找差异表达物（如差异蛋白质、基因、代谢物等）时，提供一个系统性的概念，方便其寻找适合其数据的统计学方法。点击这里开始体验吧^_^: https://www.omicsolution.com/wukong/StatsPro
其示意图如下：
简要介绍（模块优化升级中，暂时不可用）：
“一键式出结果”模块主要是为了更加方便大家进行数据分析，导入数据表格后，点击“开始分析”按钮即可进行分析， 分析完成后会给出结果链接，下载后即可进行结果查看。点击这里开始体验吧^_^: https://www.omicsolution.com/wkomics/passwd/onekeyresult
其示意图如下：
站主是只勤劳的小蜜蜂。。。
Publication List:
1. Wenping Zhou1, Wenxue Li1, Shisheng Wang1, ..., William C. Sessa & Yansheng Liu, An optogenetic-phosphoproteomic study reveals dynamic Akt1 signaling profiles in endothelial cells. Nature Communications 14, 3803. (2021 IF: 17.7). 共同第一作者
2. Hongwen Zhu1, Youpei Lin1, Dayun Lu1, Shisheng Wang1, ..., Qiang Gao & Hu Zhou, Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma. National Science Review, nwad167. (2021 IF: 23.2). 共同第一作者
3. Jinxi Yang1, Na Shi1, Shisheng Wang1, ..., Qing Xia*, Dan Du*. Multi-dimensional metabolomic profiling reveals dysregulated ornithine metabolism hallmarks associated with a severe acute pancreatitis phenotype. Translational Research, 2023. 4. Shisheng Wang, Wenxue Li, Liqiang Hu, Jingqiu Cheng, Hao Yang, Yansheng Liu. NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses. Nucleic Acids Research, 2020, 48(14): e83. (2021 IF: 19.16)
5. Huilin Yu1, Haiyu Luo1, Luping Chang1, Shisheng Wang1, Xue Geng, Lijing Kang, Yi Zhong, Yongliang Cao, Ranran Wang, Xing Yang, Yuanbo Zhu, Meijuan Shi, Yue Hu, Zhongwang Liu, Xuhui Yin, Yunwei Ran, Hao Yang, Wenying Fan, Bingqiao Zhao. The NEDD8-activating enzyme inhibitor MLN4924 reduces ischemic brain injury in mice. Proceedings of the National Academy of Sciences of the United States of America, 2022, 119(6): e2111896119. (2021 IF: 11.2) 共同第一作者
6. Yin Yang, Jingqiu Cheng, Shisheng Wang*, Hao Yang*. StatsPro: Systematic integration and evaluation of statistical approaches for detecting differential expression in label-free quantitative proteomics. Journal of Proteomics, 2022, 250: 104386. 共同通讯作者
7. Yi Zhong, Fen Yang, Tao Su, Xiyu Wu, Wen Zheng, Lu Zhang, Ge Liang, Lian Wang, Lijun Wang*, Shisheng Wang*, Hao Yang. Proteome and phosphoproteome profiling of non‐small cell lung cancer cell line A549 treated with TRAIL. Proteomics, 2022: 2200248. 共同通讯作者
8. Shisheng Wang1, Yi Zhong1, Jingqiu Cheng, Hao Yang. EnrichVisBox: A Versatile and Powerful Web Toolbox for Visualizing Complex Functional Enrichment Results of Omics Data. Journal of Computational Biology, 2021, 28(9): 922-30.
9. Shisheng Wang1, Hongwen Zhu1, Hu Zhou, Jingqiu Cheng, Hao Yang. MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks. Bmc Bioinformatics, 2020, 21(1): 439.
10. Shisheng Wang, Yue Cai, Jingqiu Cheng, Wenxue Li, Yansheng Liu, Hao Yang. motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification Motifs. Proteomics, 2019, 19(23): e1900245.
11. Shisheng Wang, Hao Yang. pseudoQC: A Regression-Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets. Proteomics, 2019, 19(19): e1900264.
12. Shisheng Wang1, Xiaolei Chen1, Dan Du, Wen Zheng, Liqiang Hu, Hao Yang, Jingqiu Cheng, and Meng Gong. MetaboGroupS: a group entropy-based web platform for evaluating normalization methods in blood metabolomics data from maintenance hemodialysis patients. Analytical Chemistry, 2018, 90(18): 11124-11130. (2021 IF: 8.0)
13. Shisheng Wang, Wen Zheng, Liqiang Hu, Meng Gong, and Hao Yang. MixProTool: a powerful and comprehensive web tool for analyzing and visualizing multigroup proteomics data. Journal of Computational Biology, 2018, 25(10): 1123-1127.
14. Qingrun Li1, Shisheng Wang1, Hongwen Zhu, Fangying Xia, Peter Roepstorff, Jiarui Wu, Rong Zeng. Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites. bioRxiv, 2018: 464545. 共同第一作者
15. Liangqing Dong, Dayun Lu, Ran Chen, Youpei Lin, Hongwen Zhu, Zhou Zhang, Shangli Cai, Peng Cui, Guohe Song, Dongning Rao, Xinpei Yi, Yingcheng Wu, Nixue Song, Fen Liu, Yunhao Zou, Shu Zhang, Xiaoming Zhang, Xiaoying Wang, Shuangjian Qiu, Jian Zhou, Shisheng Wang, Xu Zhang, Yongyong Shi, Daniel Figeys, Li Ding, Pei Wang, Bing Zhang, Henry Rodriguez, Qiang Gao, Daming Gao, Hu Zhou, Jia Fan. Proteogenomic characterization identifies clinically relevant subgroups of intrahepatic cholangiocarcinoma. Cancer Cell, 2022, 40(1): 70-87 e15. (2021 IF: 38.58)
16. Qian Ba, Yuanyuan Hei, Anasuya Dighe, Wenxue Li, Jamie Maziarz, Irene Pak, Shisheng Wang, Günter P. Wagner, Yansheng Liu. Proteotype coevolution and quantitative diversity across 11 mammalian species. Science Advances, 2022, 8(36): eabn0756. (2021 IF: 14.14)
17. Yan Deng, Maodi Xie, Qian Li, Xuewen Xu, Wei Ou, Yabing Zhang, Haitao Xiao, Hai Yu, Yanyi Zheng, Yu Liang, Chunling Jiang, Guo Chen, Dan Du, Wen Zheng, Shisheng Wang, Meng Gong, Yaohui Chen, Rong Tian and Tao Li. Targeting mitochondria-inflammation circuit by β-hydroxybutyrate mitigates HFpEF. Circulation Research, 2021, 128(2): 232-245. (2021 IF: 17.37)
18. Yong Zhang, Wanjun Zhao, Yonghong Mao, Yaohui Chen, Shisheng Wang, Yi Zhong, Tao Su, Meng Gong, Dan Du, Xiaofeng Lu, Jingqiu Cheng, Hao Yang. Site-specific N-glycosylation characterization of recombinant SARS-CoV-2 spike proteins. Molecular & Cellular Proteomics, 2021, 20.
19. Mengqi Luo, Tao Su, Shisheng Wang, Jianhai Chen, Tianhai Lin, Qingyuan Cheng, Younan Chen, Meng Gong, Hao Yang, Fuping Li, andYong Zhang. Proteomic Landscape of Human Spermatozoa: Optimized Extraction Method and Application. Cells, 2022, 11(24): 4064.
20. Changhai Liu, Shanshan Zheng, Shisheng Wang, Dongbo Wu, Wei Jiang, Qingmin Zeng, Yi Wei, Yong Zhang and Hong Tang. Urine Proteome in Distinguishing Hepatic Steatosis in Patients with Metabolic-Associated Fatty Liver Disease. Diagnostics, 2022, 12(6): 1412.
21. Tao Su, Yi Zhong, Weibiao Zeng, Yong Zhang, Shisheng Wang, Jingqiu Cheng, Hao Yang, Yiping Wei, Meng Gong. A comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contamination. PROTEOMICS Clinical Applications, 2022, 16(3): 2000099.
22. Tianshan She, Qiuxiao Shi, Zhao Li, Yanru Feng, Hao Yang, Ze Tao, Heng Li, Jie Chen, Shisheng Wang, Yan Liang, Jingqiu Cheng and Xiaofeng Lu. Combination of long-acting TRAIL and tumor cell-targeted photodynamic therapy as a novel strategy to overcome chemotherapeutic multidrug resistance and TRAIL resistance of colorectal cancer. Theranostics, 2021, 11(9): 4281.
23. Lijun Zhao, Fang Liu, Lin Li, Junlin Zhang, Tingli Wang, Rui Zhang, Wei Zhang, Xiaoyan Yang, Xiaoxi Zeng, Yiting Wang, Yucheng Wu, Hao Yang, Shisheng Wang, Yi Zhong, Huan Xu, Shanshan Wang, Ruikun Guo, Honghong Ren, Lichuan Yang, Baihai Su, Jie Zhang, Nanwei Tong, Xin J. Zhou & Mark E. Cooper. Solidified glomerulosclerosis, identified using single glomerular proteomics, predicts end-stage renal disease in Chinese patients with type 2 diabetes. Scientific Reports, 2021, 11(1): 1-14.
24. Ge Liang, Jingyu Yang, Tingting Liu, Shisheng Wang, Yongjian Wen, Chenxia Han, Yan Huang, Rui Wang, Yiqin Wang, Liqiang Hu, Guangzhi Wang, Fei Li, Joel D.A. Tyndall, Lihui Deng, Dan Du, Qing Xia. A multi-strategy platform for quality control and Q-markers screen of Chaiqin chengqi decoction. Phytomedicine, 2021, 85: 153525.
25. Lu Zhang, Wen Zheng, Xin Li, Shisheng Wang, Ming Xiao, Rui Xiao, Dingkun Zhang, Nengwen Ke, Huawei Cai, Jingqiu Cheng, Xiaolei Chen, MengGong. A merged method for targeted analysis of amino acids and derivatives using parallel reaction monitoring combined with untargeted profiling by HILIC-Q-Orbitrap HRMS. Journal of Pharmaceutical and Biomedical Analysis, 2021, 203: 114208.
26. Wenjuan Zeng, Shanshan Zheng, Yonghong Mao, Shisheng Wang, Yi Zhong, Wei Cao, Tao Su, Meng Gong, Jingqiu Cheng, Yong Zhang, and Hao Yang. Elevated N-Glycosylation Contributes to the Cisplatin Resistance of Non-Small Cell Lung Cancer Cells Revealed by Membrane Proteomic and Glycoproteomic Analysis. Frontiers in pharmacology, 2021: 3806.
27. Mengyu Gao, Xinglong Zhu, Shisheng Wang, Bingqi Zhang, Yunlin Zhang, Yuting He, Yanyan Zhou, Shun Li, Guang Yang, Guangneng Liao, Ji Bao, Hong Bu. Rapid screening of single guide RNA targeting pig genome and the harvesting of monoclonal cells by microarray seal. Journal of Biomedical Engineering, 2021, 38(1): 111-121.
28. Yong Zhang, Tianhai Lin, Yang Zhao, Yonghong Mao, Yiran Tao, Yan Huang, Shisheng Wang, Liqiang Hu, Jingqiu Cheng and Hao Yang. Characterization of N-linked intact glycopeptide signatures of plasma IgGs from patients with prostate carcinoma and benign prostatic hyperplasia for diagnosis pre-stratification. Analyst, 2020, 145(15): 5353-5362.
29. Yong Zhang, Wanjun Zhao, Yang Zhao, Yonghong Mao, Tao Su, Yi Zhong, Shisheng Wang, Rui Zhai, Jingqiu Cheng, Xiang Fang, Jingqiang Zhu, and Hao Yang. Comparative glycoproteomic profiling of human body fluid between healthy controls and patients with papillary thyroid carcinoma. Journal of Proteome Research, 2019, 19(7): 2539-2552.
2. Hongwen Zhu1, Youpei Lin1, Dayun Lu1, Shisheng Wang1, ..., Qiang Gao & Hu Zhou, Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma. National Science Review, nwad167. (2021 IF: 23.2). 共同第一作者
3. Jinxi Yang1, Na Shi1, Shisheng Wang1, ..., Qing Xia*, Dan Du*. Multi-dimensional metabolomic profiling reveals dysregulated ornithine metabolism hallmarks associated with a severe acute pancreatitis phenotype. Translational Research, 2023. 4. Shisheng Wang, Wenxue Li, Liqiang Hu, Jingqiu Cheng, Hao Yang, Yansheng Liu. NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses. Nucleic Acids Research, 2020, 48(14): e83. (2021 IF: 19.16)
5. Huilin Yu1, Haiyu Luo1, Luping Chang1, Shisheng Wang1, Xue Geng, Lijing Kang, Yi Zhong, Yongliang Cao, Ranran Wang, Xing Yang, Yuanbo Zhu, Meijuan Shi, Yue Hu, Zhongwang Liu, Xuhui Yin, Yunwei Ran, Hao Yang, Wenying Fan, Bingqiao Zhao. The NEDD8-activating enzyme inhibitor MLN4924 reduces ischemic brain injury in mice. Proceedings of the National Academy of Sciences of the United States of America, 2022, 119(6): e2111896119. (2021 IF: 11.2) 共同第一作者
6. Yin Yang, Jingqiu Cheng, Shisheng Wang*, Hao Yang*. StatsPro: Systematic integration and evaluation of statistical approaches for detecting differential expression in label-free quantitative proteomics. Journal of Proteomics, 2022, 250: 104386. 共同通讯作者
7. Yi Zhong, Fen Yang, Tao Su, Xiyu Wu, Wen Zheng, Lu Zhang, Ge Liang, Lian Wang, Lijun Wang*, Shisheng Wang*, Hao Yang. Proteome and phosphoproteome profiling of non‐small cell lung cancer cell line A549 treated with TRAIL. Proteomics, 2022: 2200248. 共同通讯作者
8. Shisheng Wang1, Yi Zhong1, Jingqiu Cheng, Hao Yang. EnrichVisBox: A Versatile and Powerful Web Toolbox for Visualizing Complex Functional Enrichment Results of Omics Data. Journal of Computational Biology, 2021, 28(9): 922-30.
9. Shisheng Wang1, Hongwen Zhu1, Hu Zhou, Jingqiu Cheng, Hao Yang. MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks. Bmc Bioinformatics, 2020, 21(1): 439.
10. Shisheng Wang, Yue Cai, Jingqiu Cheng, Wenxue Li, Yansheng Liu, Hao Yang. motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification Motifs. Proteomics, 2019, 19(23): e1900245.
11. Shisheng Wang, Hao Yang. pseudoQC: A Regression-Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets. Proteomics, 2019, 19(19): e1900264.
12. Shisheng Wang1, Xiaolei Chen1, Dan Du, Wen Zheng, Liqiang Hu, Hao Yang, Jingqiu Cheng, and Meng Gong. MetaboGroupS: a group entropy-based web platform for evaluating normalization methods in blood metabolomics data from maintenance hemodialysis patients. Analytical Chemistry, 2018, 90(18): 11124-11130. (2021 IF: 8.0)
13. Shisheng Wang, Wen Zheng, Liqiang Hu, Meng Gong, and Hao Yang. MixProTool: a powerful and comprehensive web tool for analyzing and visualizing multigroup proteomics data. Journal of Computational Biology, 2018, 25(10): 1123-1127.
14. Qingrun Li1, Shisheng Wang1, Hongwen Zhu, Fangying Xia, Peter Roepstorff, Jiarui Wu, Rong Zeng. Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites. bioRxiv, 2018: 464545. 共同第一作者
15. Liangqing Dong, Dayun Lu, Ran Chen, Youpei Lin, Hongwen Zhu, Zhou Zhang, Shangli Cai, Peng Cui, Guohe Song, Dongning Rao, Xinpei Yi, Yingcheng Wu, Nixue Song, Fen Liu, Yunhao Zou, Shu Zhang, Xiaoming Zhang, Xiaoying Wang, Shuangjian Qiu, Jian Zhou, Shisheng Wang, Xu Zhang, Yongyong Shi, Daniel Figeys, Li Ding, Pei Wang, Bing Zhang, Henry Rodriguez, Qiang Gao, Daming Gao, Hu Zhou, Jia Fan. Proteogenomic characterization identifies clinically relevant subgroups of intrahepatic cholangiocarcinoma. Cancer Cell, 2022, 40(1): 70-87 e15. (2021 IF: 38.58)
16. Qian Ba, Yuanyuan Hei, Anasuya Dighe, Wenxue Li, Jamie Maziarz, Irene Pak, Shisheng Wang, Günter P. Wagner, Yansheng Liu. Proteotype coevolution and quantitative diversity across 11 mammalian species. Science Advances, 2022, 8(36): eabn0756. (2021 IF: 14.14)
17. Yan Deng, Maodi Xie, Qian Li, Xuewen Xu, Wei Ou, Yabing Zhang, Haitao Xiao, Hai Yu, Yanyi Zheng, Yu Liang, Chunling Jiang, Guo Chen, Dan Du, Wen Zheng, Shisheng Wang, Meng Gong, Yaohui Chen, Rong Tian and Tao Li. Targeting mitochondria-inflammation circuit by β-hydroxybutyrate mitigates HFpEF. Circulation Research, 2021, 128(2): 232-245. (2021 IF: 17.37)
18. Yong Zhang, Wanjun Zhao, Yonghong Mao, Yaohui Chen, Shisheng Wang, Yi Zhong, Tao Su, Meng Gong, Dan Du, Xiaofeng Lu, Jingqiu Cheng, Hao Yang. Site-specific N-glycosylation characterization of recombinant SARS-CoV-2 spike proteins. Molecular & Cellular Proteomics, 2021, 20.
19. Mengqi Luo, Tao Su, Shisheng Wang, Jianhai Chen, Tianhai Lin, Qingyuan Cheng, Younan Chen, Meng Gong, Hao Yang, Fuping Li, andYong Zhang. Proteomic Landscape of Human Spermatozoa: Optimized Extraction Method and Application. Cells, 2022, 11(24): 4064.
20. Changhai Liu, Shanshan Zheng, Shisheng Wang, Dongbo Wu, Wei Jiang, Qingmin Zeng, Yi Wei, Yong Zhang and Hong Tang. Urine Proteome in Distinguishing Hepatic Steatosis in Patients with Metabolic-Associated Fatty Liver Disease. Diagnostics, 2022, 12(6): 1412.
21. Tao Su, Yi Zhong, Weibiao Zeng, Yong Zhang, Shisheng Wang, Jingqiu Cheng, Hao Yang, Yiping Wei, Meng Gong. A comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contamination. PROTEOMICS Clinical Applications, 2022, 16(3): 2000099.
22. Tianshan She, Qiuxiao Shi, Zhao Li, Yanru Feng, Hao Yang, Ze Tao, Heng Li, Jie Chen, Shisheng Wang, Yan Liang, Jingqiu Cheng and Xiaofeng Lu. Combination of long-acting TRAIL and tumor cell-targeted photodynamic therapy as a novel strategy to overcome chemotherapeutic multidrug resistance and TRAIL resistance of colorectal cancer. Theranostics, 2021, 11(9): 4281.
23. Lijun Zhao, Fang Liu, Lin Li, Junlin Zhang, Tingli Wang, Rui Zhang, Wei Zhang, Xiaoyan Yang, Xiaoxi Zeng, Yiting Wang, Yucheng Wu, Hao Yang, Shisheng Wang, Yi Zhong, Huan Xu, Shanshan Wang, Ruikun Guo, Honghong Ren, Lichuan Yang, Baihai Su, Jie Zhang, Nanwei Tong, Xin J. Zhou & Mark E. Cooper. Solidified glomerulosclerosis, identified using single glomerular proteomics, predicts end-stage renal disease in Chinese patients with type 2 diabetes. Scientific Reports, 2021, 11(1): 1-14.
24. Ge Liang, Jingyu Yang, Tingting Liu, Shisheng Wang, Yongjian Wen, Chenxia Han, Yan Huang, Rui Wang, Yiqin Wang, Liqiang Hu, Guangzhi Wang, Fei Li, Joel D.A. Tyndall, Lihui Deng, Dan Du, Qing Xia. A multi-strategy platform for quality control and Q-markers screen of Chaiqin chengqi decoction. Phytomedicine, 2021, 85: 153525.
25. Lu Zhang, Wen Zheng, Xin Li, Shisheng Wang, Ming Xiao, Rui Xiao, Dingkun Zhang, Nengwen Ke, Huawei Cai, Jingqiu Cheng, Xiaolei Chen, MengGong. A merged method for targeted analysis of amino acids and derivatives using parallel reaction monitoring combined with untargeted profiling by HILIC-Q-Orbitrap HRMS. Journal of Pharmaceutical and Biomedical Analysis, 2021, 203: 114208.
26. Wenjuan Zeng, Shanshan Zheng, Yonghong Mao, Shisheng Wang, Yi Zhong, Wei Cao, Tao Su, Meng Gong, Jingqiu Cheng, Yong Zhang, and Hao Yang. Elevated N-Glycosylation Contributes to the Cisplatin Resistance of Non-Small Cell Lung Cancer Cells Revealed by Membrane Proteomic and Glycoproteomic Analysis. Frontiers in pharmacology, 2021: 3806.
27. Mengyu Gao, Xinglong Zhu, Shisheng Wang, Bingqi Zhang, Yunlin Zhang, Yuting He, Yanyan Zhou, Shun Li, Guang Yang, Guangneng Liao, Ji Bao, Hong Bu. Rapid screening of single guide RNA targeting pig genome and the harvesting of monoclonal cells by microarray seal. Journal of Biomedical Engineering, 2021, 38(1): 111-121.
28. Yong Zhang, Tianhai Lin, Yang Zhao, Yonghong Mao, Yiran Tao, Yan Huang, Shisheng Wang, Liqiang Hu, Jingqiu Cheng and Hao Yang. Characterization of N-linked intact glycopeptide signatures of plasma IgGs from patients with prostate carcinoma and benign prostatic hyperplasia for diagnosis pre-stratification. Analyst, 2020, 145(15): 5353-5362.
29. Yong Zhang, Wanjun Zhao, Yang Zhao, Yonghong Mao, Tao Su, Yi Zhong, Shisheng Wang, Rui Zhai, Jingqiu Cheng, Xiang Fang, Jingqiang Zhu, and Hao Yang. Comparative glycoproteomic profiling of human body fluid between healthy controls and patients with papillary thyroid carcinoma. Journal of Proteome Research, 2019, 19(7): 2539-2552.