p300-Mediated Lysine 2-Hydroxyisobutyrylation Regulates Glycolysis

He, Haibo; Táng, Shuāng; Ji, Ming; Tang, Zhanyun; Shimada, Miho; Liu, Xiaojing; Qi, Shankang; Locasale, Jason W.; Roeder, Robert G.; Zhao, Yingming; Li, Xiaoling

doi:10.1016/j.molcel.2018.05.035

Cited by 48 publications

(68 citation statements)

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“…These included pyruvate kinase (PK), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), fructose-bisphosphate aldolase (FBPA), PGM1, and PGK (Supplemental Data S12). Previous studies indicated that lysine 2hydroxyisobutyrylation can regulate glycolysis in response to nutritional cues (41).…”

Section: The Overall Ptmomics Of P Falciparum and Infected Erythrocytesmentioning

confidence: 99%

Protein Modification Characteristics of the Malaria Parasite Plasmodium falciparum and the Infected Erythrocytes

Wang

Jiang

Sang

et al. 2021

Molecular & Cellular Proteomics

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Malaria elimination is still pending on the development of novel tools that rely on a deep understanding of parasite biology. Proteins of all living cells undergo a myriad number of posttranslational modifications (PTMs) that are critical to multifarious life processes. An extensive proteome-wide dissection revealed a fine PTM map of most proteins in both Plasmodium falciparum, the causative agent of severe malaria, and the infected red blood cells. More than two-thirds of proteins of the parasite and its host cell underwent extensive and dynamic modification throughout the erythrocytic developmental stage. PTMs critically modulate the virulence factors involved in the host-parasite interaction and pathogenesis. Furthermore, P. falciparum stabilized the supporting proteins of erythrocyte origin by selective de-modification. Collectively, our multiple omic analyses, apart from having furthered a deep understanding of the systems biology of P. falciparum and malaria pathogenesis, provide a valuable resource for mining new antimalarial targets.

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Section: The Overall Ptmomics Of P Falciparum and Infected Erythrocytesmentioning

confidence: 99%

Protein Modification Characteristics of the Malaria Parasite Plasmodium falciparum and the Infected Erythrocytes

Wang

Jiang

Sang

et al. 2021

Molecular & Cellular Proteomics

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“…Glycolysis is a cascade of 10 pivotal enzyme-catalyzed reactions. Remarkably, five of the 10 glycolytic enzymes are 2-hydroxyisobutyrylated by EP300: glucose-6-phosphate isomerase (GPI), 6-phosphofructokinase muscle (PFKM) of the ATP-dependent type, ALDOA, PGK1, and alpha/gamma-enolase (ENO1/2) [36].…”

Section: Khib Regulates Glycolysismentioning

confidence: 99%

Metabolic Functions of Lysine 2-Hydroxyisobutyrylation

Huang

Tang

Dai

2020

Cureus

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“…To determine the optimal sequence window for model construction, we tested different sequence window sizes ranging from 21 to 41, referring to the previous PTM studies where the optimal window sizes are between 31 and 39 (Wang et al, 2017;Chen et al, 2018a;Huang et al, 2018b). The window size of 37 corresponded to the largest area under the ROC curve (AUC) through 10-fold cross-validation ( Supplementary Figure 3) and was therefore selected in this study.…”

Section: Dataset Collectionmentioning

confidence: 99%

“…It involves various biological functions including biosynthesis of amino acids, starch biosynthesis, carbon metabolism, glycolysis / gluconeogenesis and transcription (Dai et al, 2014;Huang et al, 2017Huang et al, , 2018aLi et al, 2017;Meng et al, 2017;Yu et al, 2017;Wu et al, 2018;Yin et al, 2019). For instance, the decrease of this modification on K281 of glycolytic enzyme ENO1 reduces its catalytic activity (Huang et al, 2018b). The three-dimension structure of the peptide containing K281 in the center was shown as Supplementary Figure 1B.…”

Section: Introductionmentioning

confidence: 99%

DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction

Zhang

Zou

et al. 2020

Front. Cell Dev. Biol.

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As a novel type of post-translational modification, lysine 2-Hydroxyisobutyrylation (K hib) plays an important role in gene transcription and signal transduction. In order to understand its regulatory mechanism, the essential step is the recognition of K hib sites. Thousands of K hib sites have been experimentally verified across five different species. However, there are only a couple traditional machine-learning algorithms developed to predict K hib sites for limited species, lacking a general prediction algorithm. We constructed a deep-learning algorithm based on convolutional neural network with the one-hot encoding approach, dubbed CNN OH. It performs favorably to the traditional machine-learning models and other deep-learning models across different species, in terms of cross-validation and independent test. The area under the ROC curve (AUC) values for CNN OH ranged from 0.82 to 0.87 for different organisms, which is superior to the currently available K hib predictors. Moreover, we developed the general model based on the integrated data from multiple species and it showed great universality and effectiveness with the AUC values in the range of 0.79-0.87. Accordingly, we constructed the on-line prediction tool dubbed DeepKhib for easily identifying K hib sites, which includes both species-specific and general models. DeepKhib is available at http://www.bioinfogo.org/DeepKhib.

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p300-Mediated Lysine 2-Hydroxyisobutyrylation Regulates Glycolysis

Cited by 48 publications

References 0 publications

Protein Modification Characteristics of the Malaria Parasite Plasmodium falciparum and the Infected Erythrocytes

Protein Modification Characteristics of the Malaria Parasite Plasmodium falciparum and the Infected Erythrocytes

Metabolic Functions of Lysine 2-Hydroxyisobutyrylation

DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction

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