Browsing by Author Jothi, Raja

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Showing results 1 to 7 of 7
Issue DateTitleAuthor(s)Citation
2015Global Phosphoproteomic Analysis of Human Skeletal Muscle Reveals a Network of Exercise-Regulated Kinases and AMPK SubstratesBurchfield, James; Chaudhuri, Rima; Fazakerley, Daniel; Hoffman, Nolan; Holliday, Mira; James, David; Parker, Benjamin Leo; Stoeckli, Jacqueline; Fisher-Wellman, Kelsey H; Humphrey, Sean; Jensen, Thomas E.; Jothi, Raja; Kiens, Bente; Kleinert, Maximillian; Richter, Erik A; Trefely, Sophie; Wojtaszewski, Jorgen F P; Yang, Pengyi; Molecular Bioscience; Molecular Bioscience; Molecular Bioscience; Molecular Bioscience; Biological Sciences; Molecular Bioscience; Molecular Bioscience; Molecular BioscienceGlobal Phosphoproteomic Analysis of Human Skeletal Muscle Reveals a Network of Exercise-Regulated Kinases and AMPK Substrates, Cell Metabolism, vol.22, 5, 2015,pp 922-935
2017Intragenic Enhancers Attenuate Host Gene ExpressionYang, Pengyi; Adelman, Karen; Cinghu, Senthilkumar; Conway, Amanda E; Jothi, Raja; Kosak, Justin; Kumar, Dhirendra; Oldfield, Andrew J; Mathematics & StatisticsIntragenic Enhancers Attenuate Host Gene Expression, Molecular Cell, vol.68, 1, 2017,pp 104-117
2016KinasePA: Phosphoproteomics data annotation using hypothesis driven kinase perturbation analysisGhazanfar, Shila; Humphrey, Sean; James, David; Yang, Jean Yee Hwa; Yang, Pengyi; Jothi, Raja; Patrick, Ellis; Mathematics & Statistics; School of Life and Environmental Sciences (SOLES); School of Life and Environmental Sciences (SOLES); Mathematics & Statistics; Mathematics & StatisticsKinasePA: Phosphoproteomics data annotation using hypothesis driven kinase perturbation analysis, Proteomics, vol.16, 13, 2016,pp 1868-1871
2015Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics DataJayaswal, Vivek; Yang, Jean Yee Hwa; Hu, Guang; Jothi, Raja; Yang, Pengyi; Zheng, Xiaofeng; Mathematics & Statistics; Mathematics & StatisticsKnowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data, PLoS Computational Biology, vol.11, 8, 2015,pp 1-18
2016mTORC1 Is a Major Regulatory Node in the FGF21 Signaling Network in AdipocytesDomanova, Westa; Fazakerley, Daniel; Humphrey, Sean; James, David; Minard, Annabel; Parker, Benjamin Leo; Stoeckli, Jacqueline; Yang, Pengyi; Jothi, Raja; Tan, Shi-Xiong; Physics; Molecular Bioscience; School of Life and Environmental Sciences (SOLES); School of Life and Environmental Sciences (SOLES); School of Life and Environmental Sciences (SOLES); Molecular Bioscience; School of Life and Environmental Sciences (SOLES); Mathematics & StatisticsmTORC1 Is a Major Regulatory Node in the FGF21 Signaling Network in Adipocytes, Cell Reports, vol.17, 1, 2016,pp 29-36
2016mTORC1 Is a Major Regulatory Node in the FGF21 Signaling Network in AdipocytesDomanova, Westa; Fazakerley, Daniel; Humphrey, Sean; James, David; Minard, Annabel; Parker, Benjamin Leo; Stoeckli, Jacqueline; Yang, Pengyi; Jothi, Raja; Tan, Shi-Xiong; Physics; School of Molecular Bioscience (SMB); School of Life and Environmental Sciences (SOLES); School of Life and Environmental Sciences (SOLES); School of Life and Environmental Sciences (SOLES); School of Molecular Bioscience (SMB); School of Life and Environmental Sciences (SOLES); Mathematics & StatisticsmTORC1 Is a Major Regulatory Node in the FGF21 Signaling Network in Adipocytes, Cell Reports, vol.17, 1, 2016,pp 29-36
2016Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics dataJames, David; Yang, Jean Yee Hwa; Humphrey, Sean J; Jothi, Raja; Yang, Pengyi; School of Life and Environmental Sciences (SOLES); Mathematics & StatisticsPositive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data, Bioinformatics, vol.32, 2, 2016,pp 252-259