蛋白质赖氨酸乙酰化修饰对中间代谢的调控研究

生命活动的中间代谢酶存在大量的赖氨酸乙酰化修饰作用,这些在特定位点进行的可逆的赖氨酸乙酰化修饰作用能精确地调控胞内各种代谢路径。因此,对中间代谢酶赖氨酸乙酰化的研究成为了当今热点。对中间代谢酶的乙酰化修饰的研究进展进行综述,并归纳了几种典型的中间代谢酶的可逆乙酰化作用及其乙酰化位点的分布和在中间代谢路径中重要的调控作用,以期为深入研究蛋白质乙酰化修饰提供参考。     

Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis

Post-translational modifications (PTMs) are crucial steps in protein synthesis and are important factors contributing to protein diversity. PTMs play important roles in the regulation of gene expression, protein stability and metabolism. Lysine residues in protein sequences have been found to be targeted for both types of PTMs: sumoylations and acetylations; however, each PTM has a different cellular role. As experimental approaches are often laborious and time consuming, it is challenging to distinguish the two types of PTMs on lysine residues using computational methods. In this study, we developed a method to discriminate between sumoylated lysine residues and acetylated residues. The method incorporated several features: PSSM conservation scores, amino acid factors, secondary structures, solvent accessibilities and disorder scores. By using the mRMR (Maximum Relevance Minimum Redundancy) method and the IFS (Incremental Feature Selection) method, an optimal feature set was selected from all of the incorporated features, with which the classifier achieved 92.14% accuracy with an MCC value of 0.7322. Analysis of the optimal feature set revealed some differences between acetylation and sumoylation. The results from our study also supported the previous finding that there exist different consensus motifs for the two types of PTMs. The results could suggest possible dominant factors governing the acetylation and sumoylation of lysine residues, shedding some light on the modification dynamics and molecular mechanisms of the two types of PTMs, and provide guidelines for experimental validations.     

Prediction of Conserved Precursors of miRNAs and Their Mature Forms by Integrating Position-Specific Structural Features

MicroRNA (miRNA) precursor hairpins have a unique secondary structure, nucleotide length, and nucleotide content that are in most cases evolutionarily conserved. The aim of this study was to utilize position-specific features of miRNA hairpins to improve their identification. To this end, we defined the evolutionary and structurally conserved features in each position of miRNA hairpins with heuristically derived values, which were successfully integrated using a probabilistic framework. Our method, miRRim2, can not only accurately detect miRNA hairpins, but infer the location of a mature miRNA sequence. To evaluate the accuracy of miRRim2, we designed a cross validation test in which the whole human genome was used for evaluation. miRRim2 could more accurately detect miRNA hairpins than the other computational predictions that had been performed on the human genome, and detect the position of the 5'-end of mature miRNAs with sensitivity and positive predictive value (PPV) above 0.4. To further evaluate miRRim2 on independent data, we applied it to the Ciona intestinalis genome. Our method detected 47 known miRNA hairpins among top 115 candidates, and pinpointed the 5'-end of mature miRNAs with sensitivity and PPV about 0.4. When our results were compared with deep-sequencing reads of small RNA libraries from Ciona intestinalis cells, we found several candidates in which the predicted mature miRNAs were in good accordance with deep-sequencing results.     

基于具有多茎环特征GA-SVM的人类pre-miRNA的预测研究

MicroRNA（miRNA）是一类长度约为21 nt的非编码RNA,在动植物中发挥着重要而广泛的转录后调控作用. 现有的计算预测方法通常不能很好地识别具有多分枝茎环二级结构的pre miRNA.为进一步提高对pre miRNA的预测精度,本文在以往研究的基础上,新引用了一类多茎环生物学特征,将遗传算法（GA）与支持向量机（SVM）结合以进行特征选择,同时优化SVM分类器模型参数（c,g）,并对数据集的不平衡性进行处理,构造出新的分类器.本文采用人类pre miRNA作为研究数据集,通过5折交叉验证,实验结果显示,新的分类器能够有效地提高预测精度.     

Acetylome Analysis Reveals Diverse Functions of Lysine Acetylation in Mycobacterium tuberculosis

The lysine acetylation of proteins is a reversible post-translational modification that plays a critical regulatory role in both eukaryotes and prokaryotes. Mycobacterium tuberculosis is a facultative intracellular pathogen and the causative agent of tuberculosis. Increasing evidence shows that lysine acetylation may play an important role in the pathogenesis of M. tuberculosis. However, only a few acetylated proteins of M. tuberculosis are known, presenting a major obstacle to understanding the functional roles of reversible lysine acetylation in this pathogen. We performed a global acetylome analysis of M. tuberculosis H37Ra by combining protein/peptide prefractionation, antibody enrichment, and LC-MS/MS. In total, we identified 226 acetylation sites in 137 proteins of M. tuberculosis H37Ra. The identified acetylated proteins were functionally categorized into an interaction map and shown to be involved in various biological processes. Consistent with previous reports, a large proportion of the acetylation sites were present on proteins involved in glycolysis/gluconeogenesis, the citrate cycle, and fatty acid metabolism. A NAD⁺-dependent deacetylase (MRA_1161) deletion mutant of M. tuberculosis H37Ra was constructed and its characterization showed a different colony morphology, reduced biofilm formation, and increased tolerance of heat stress. Interestingly, lysine acetylation was found, for the first time, to block the immunogenicity of a peptide derived from a known immunogen, HspX, suggesting that lysine acetylation plays a regulatory role in immunogenicity. Our data provide the first global survey of lysine acetylation in M. tuberculosis. The dataset should be an important resource for the functional analysis of lysine acetylation in M. tuberculosis and facilitate the clarification of the entire metabolic networks of this life-threatening pathogen.Mycobacterium tuberculosis was responsible for 1.3 million deaths and 8.6 million new cases of tuberculosis (TB)¹ worldwide in 2012 (1). This global public health crisis remains a serious problem, with the emergence of drug-resistant M. tuberculosis, especially multidrug-resistant and extensively drug-resistant M. tuberculosis, and also the emergence of coinfections of TB and human immunodeficiency virus (2, 3). To counter the increasing threat of TB, it is critical to understand fundamental aspects of TB-related biology. Such studies will not only provide new drug targets for the design of novel therapeutic agents, but also facilitate the development of novel diagnostic tools and new vaccines.Acetylation is one of the important protein modifications and occurs both co- and post-translationally on the α-amino group at the N terminus of the protein, so-called “N-terminal acetylation,” or on the ε-amino group on the side chain of lysine (4). Lysine acetylation is one of the most common post-translational modifications to proteins in both eukaryotes and prokaryotes. As a dynamic and reversible process, protein acetylation plays important roles in many cellular physiological processes, including cell-cycle regulation and apoptosis, cell morphology (5), metabolic pathways (6–8), protein interactions (9), and enzymatic activity (8, 10). In recent years, great advances have been made in proteomic studies, and a large number of lysine-acetylated proteins have been identified in many eukaryotes, including human (5, 11, 12), rat (13), mouse (11), Drosophila (14), Arabidopsis (15, 16), Saccharomyces cerevisiae (17), and protozoans (18, 19). The global analysis of lysine acetylation has also been reported in bacteria, including Escherichia coli (20–22), Erwinia amylovora (23), Bacillus subtilis (24), and Salmonella enterica (6). These acetylome studies have generated large datasets of bacterial proteins acetylated on lysine residues and have demonstrated the diverse cellular functions of lysine acetylation in bacteria.Increasing evidence shows that protein acetylation occurs and plays an important regulatory role in mycobacteria (8, 25–31). For example, Lange et al. reported the N-terminal acetylation of early secreted antigenic target 6 (ESAT-6) protein (31). Rv1151c is reported to be an NAD⁺-dependent protein deacetylase in M. tuberculosis that deacetylates and thus regulates the activity of acetyl-CoA synthase (25, 32). Two cyclic adenosine monophosphate (cAMP)-binding proteins in M. smegmatis and M. tuberculosis (MSMEG_5458 and Rv0998, respectively) show similarity to the GNAT family of acetyltransferases and could acetylate a universal stress protein (USP, MSMEG_4207) (30). Subsequent structural studies revealed the fine mechanisms of how cAMP regulates the protein lysine acetyltransferase in mycobacteria (27, 28). Very recently, reversible lysine acetylation was shown to regulate the activity of several fatty acyl-CoA synthetases in M. tuberculosis (8, 26), and also to regulate acetate and propionate metabolism in M. smegmatis (8, 26). However, to the best of our knowledge, only a few acetylated proteins in M. tuberculosis have been identified, presenting a major obstacle to further understanding the regulatory roles of reversible lysine acetylation in this life-threatening pathogen.To fill this gap in our knowledge, we undertook a systematic study of the functional roles of lysine acetylation in M. tuberculosis. We performed an acetylomic analysis of M. tuberculosis H37Ra using high-accuracy MS combined with the identification of 226 unique lysine acetylation sites on 137 proteins. This set of M. tuberculosis proteins acetylated on lysine residues supports the emerging view that lysine acetylation is a general and fundamental regulatory process, and is not restricted to eukaryotes. It also opens the way for its detailed functional and evolutionary analysis of lysine acetylation in M. tuberculosis. The identified acetylated proteins that are involved in several important biological processes were functionally categorized into an interaction map. This is the first time that an interaction network of acetylated proteins in M. tuberculosis has been constructed, and should allow us to better understand the significance of acetylation in key cellular mechanisms in M. tuberculosis. To further explore the effects of lysine acetylation on the physiology of M. tuberculosis H37Ra, MRA_1161, the gene encoding the only known protein deacetylase in this bacterium, was deleted. The roles of MRA_1161 in the colony morphology, carbon source utilization, heat stress tolerance, and biofilm formation of M. tuberculosis were analyzed. The effect of lysine acetylation on the immunogenicity of a known immunogen, HspX, was also tested.     

Lysine Acetylation and Deacetylation in Brain Development and Neuropathies

Embryonic development is critical for the final functionality and maintenance of the adult brain. Brain development is tightly regulated by intracellular and extracellular signaling.Lysine acetylation and deacetylation are posttranslational modifications that are able to link extracellular signals to intracellular responses. A wealth of evidence indicates that lysine acetylation and deacetylation are critical for brain development and functionality. Indeed, mutations of the enzymes and cofactors responsible for these processes are often associated with neurodevelopmental and psychiatric disorders. Lysine acetylation and deacetylation are involved in all levels of brain development, starting from neuroprogenitor survival and proliferation, cell fate decisions, neuronal maturation, migration, and synaptogenesis, as well as differentiation and maturation of astrocytes and oligodendrocytes, to the establishment of neuronal circuits. Hence, fluctuations in the balance between lysine acetylation and deacetylation contribute to the final shape and performance of the brain. In this review, we summarize the current basic knowledge on the specific roles of lysine acetyltransferase(KAT) and lysine deacetylase(KDAC) complexes in brain development and the different neurodevelopmental disorders that are associated with dysfunctional lysine(de)acetylation machineries.     

Global Proteome Analysis Links Lysine Acetylation to Diverse Functions in Oryza Sativa

Lysine acetylation (Kac) is an important protein post‐translational modification in both eukaryotes and prokaryotes. Herein, we report the results of a global proteome analysis of Kac and its diverse functions in rice (Oryza sativa). We identified 1353 Kac sites in 866 proteins in rice seedlings. A total of 11 Kac motifs are conserved, and 45% of the identified proteins are localized to the chloroplast. Among all acetylated proteins, 38 Kac sites are combined in core histones. Bioinformatics analysis revealed that Kac occurs on a diverse range of proteins involved in a wide variety of biological processes, especially photosynthesis. Protein–protein interaction networks of the identified proteins provided further evidence that Kac contributes to a wide range of regulatory functions. Furthermore, we demonstrated that the acetylation level of histone H3 (lysine 27 and 36) is increased in response to cold stress. In summary, our approach comprehensively profiles the regulatory roles of Kac in the growth and development of rice.     

Prediction and Analysis of Quorum Sensing Peptides Based on Sequence Features

Quorum sensing peptides (QSPs) are the signaling molecules used by the Gram-positive bacteria in orchestrating cell-to-cell communication. In spite of their enormous importance in signaling process, their detailed bioinformatics analysis is lacking. In this study, QSPs and non-QSPs were examined according to their amino acid composition, residues position, motifs and physicochemical properties. Compositional analysis concludes that QSPs are enriched with aromatic residues like Trp, Tyr and Phe. At the N-terminal, Ser was a dominant residue at maximum positions, namely, first, second, third and fifth while Phe was a preferred residue at first, third and fifth positions from the C-terminal. A few motifs from QSPs were also extracted. Physicochemical properties like aromaticity, molecular weight and secondary structure were found to be distinguishing features of QSPs. Exploiting above properties, we have developed a Support Vector Machine (SVM) based predictive model. During 10-fold cross-validation, SVM achieves maximum accuracy of 93.00%, Mathew’s correlation coefficient (MCC) of 0.86 and Receiver operating characteristic (ROC) of 0.98 on the training/testing dataset (T^200p+200n). Developed models performed equally well on the validation dataset (V^20p+20n). The server also integrates several useful analysis tools like “QSMotifScan”, “ProtFrag”, “MutGen” and “PhysicoProp”. Our analysis reveals important characteristics of QSPs and on the basis of these unique features, we have developed a prediction algorithm “QSPpred” (freely available at: http://crdd.osdd.net/servers/qsppred).     

Prediction of Protein Structural Features from Sequence Data Based on Shannon Entropy and Kolmogorov Complexity

While the genome for a given organism stores the information necessary for the organism to function and flourish it is the proteins that are encoded by the genome that perhaps more than anything else characterize the phenotype for that organism. It is therefore not surprising that one of the many approaches to understanding and predicting protein folding and properties has come from genomics and more specifically from multiple sequence alignments. In this work I explore ways in which data derived from sequence alignment data can be used to investigate in a predictive way three different aspects of protein structure: secondary structures, inter-residue contacts and the dynamics of switching between different states of the protein. In particular the use of Kolmogorov complexity has identified a novel pathway towards achieving these goals.     

Proteome-wide Analysis of Lysine Acetylation Suggests its Broad Regulatory Scope in Saccharomyces cerevisiae

Post-translational modification of proteins by lysine acetylation plays important regulatory roles in living cells. The budding yeast Saccharomyces cerevisiae is a widely used unicellular eukaryotic model organism in biomedical research. S. cerevisiae contains several evolutionary conserved lysine acetyltransferases and deacetylases. However, only a few dozen acetylation sites in S. cerevisiae are known, presenting a major obstacle for further understanding the regulatory roles of acetylation in this organism. Here we use high resolution mass spectrometry to identify about 4000 lysine acetylation sites in S. cerevisiae. Acetylated proteins are implicated in the regulation of diverse cytoplasmic and nuclear processes including chromatin organization, mitochondrial metabolism, and protein synthesis. Bioinformatic analysis of yeast acetylation sites shows that acetylated lysines are significantly more conserved compared with nonacetylated lysines. A large fraction of the conserved acetylation sites are present on proteins involved in cellular metabolism, protein synthesis, and protein folding. Furthermore, quantification of the Rpd3-regulated acetylation sites identified several previously known, as well as new putative substrates of this deacetylase. Rpd3 deficiency increased acetylation of the SAGA (Spt-Ada-Gcn5-Acetyltransferase) complex subunit Sgf73 on K33. This acetylation site is located within a critical regulatory domain in Sgf73 that interacts with Ubp8 and is involved in the activation of the Ubp8-containing histone H2B deubiquitylase complex. Our data provides the first global survey of acetylation in budding yeast, and suggests a wide-ranging regulatory scope of this modification. The provided dataset may serve as an important resource for the functional analysis of lysine acetylation in eukaryotes.Lysine acetylation is a dynamic and reversible post-translational modification. Acetylation of lysines on their ε-amino group is catalyzed by lysine acetyltransferases (KATs¹, also known as histone acetyltrasferases (HATs)), and reversed by lysine deacetylases (KDACs, also known as histone deacetylases (HDACs)) (1). The enzymatic machinery involved in lysine acetylation is evolutionary conserved in all forms of life (2–4). The role of acetylation has been extensively studied in the regulation of gene expression via modification of histones (5). Acetylation also plays important roles in controlling cellular metabolism (6–10), protein folding (11), and sister chromatid cohesion (12). Furthermore, acetylation has been implicated in regulating the beneficial effects of calorie restriction (13), a low nutrient diet without starvation, and aging. Based on these findings, it is proposed that the functional roles of acetylation in these processes are evolutionary conserved from yeast to mammals.Advancements in mass spectrometry (MS)-based proteomics have greatly facilitated identification of thousands of post-translational modification (PTM) sites in eukaryotic cells (14–18). Proteome-wide mapping of PTM sites can provide important leads for analyzing the functional relevance of individual sites and a systems-wide view of the regulatory scope of post-translational modifications. Also, large-scale PTM datasets are an important resource for the in silico analysis of PTMs, which can broaden the understanding of modification site properties and their evolutionary trajectories.The budding yeast Saccharomyces cerevisiae is a commonly used unicellular eukaryotic model organism. Yeast has been used in many pioneering “-omics” studies, including sequencing of the first eukaryotic genome (19), systems-wide genetic interactions analysis (20, 21), MS-based comprehensive mapping of a eukaryotic proteome (22), and proteome-wide analysis of protein-protein interactions (23, 24). In addition, S. cerevisiae has been extensively used to study the molecular mechanisms of acetylation. Many lysine acetyltransferases and deacetylases were discovered in this organism (2, 25), and their orthologs were subsequently identified in higher eukaryotes. Furthermore, the functional roles of many well-studied acetylation sites on histones are conserved from yeast to mammals. Recent data from human and Drosophila cells show that acetylation is present on many highly conserved metabolic enzymes (26–28). However, only a few dozen yeast acetylation sites are annotated in the Uniprot database. Given the presence of a well-conserved and elaborate acetylation machinery in yeast, we reasoned that many more acetylation sites exist in this organism that remained to be identified.Here we used high resolution mass spectrometry-based proteomics to investigate the scope of acetylation in S. cerevisiae. We identified about 4000 unique acetylation sites in this important model organism. Bioinformatic analysis of yeast acetylation sites and comparison with previously identified human and Drosophila acetylation sites indicates that many acetylation sites are evolutionary conserved. Furthermore, quantitative analysis of the Rpd3-regulated acetylation sites identified several nuclear proteins that showed increased acetylation in rpd3 knockout cells. Our results provide a systems-wide view of acetylation in budding yeast, and a rich dataset for functional analysis of acetylation sites in this organism.     

Identification of Lysine Acetylation Sites on MERS-CoV Replicase pp1ab

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Highlights

• •Acetylation sites on MERS-CoV protein pp1ab were reported for the first time.
• •Sirt1 was predicted as upstream factor of identified acetylation events.

     

基于质谱的蛋白质N末端乙酰化程度定量方法的研究

随着质谱技术及各种定量方法的不断完善和发展,定量蛋白质组学的方法不断地被应用到各类生物学研究中。蛋白质组学定性定量数据的处理主要通过一些多功能的商业化或者开源软件来进行,如常用的数据分析软件Proteome Discoverer和Maxquant。但是在通过化学标记对蛋白质N末端乙酰化程度进行定量这一方面,Proteome Discoverer和Maxquant在一定程度上存在准确性不高和完整度不够的问题。于是本研究针对自己的实验特点,通过Java算法编写了相应的定量程序Acequant来完成N末端乙酰化程度的相对定量。本研究将该程序在已有相关报道的He La cell上进行了验证,Acequant共定量到1 587个蛋白质N末端,而Proteome Discoverer和Maxquant分别只定量到42个和306个N末端。同时,手动验证原始图谱也证实了Acequant定量的准确性更好。于是,本研究将此方法进一步应用到秀丽隐杆线虫N末端乙酰化的研究中,并初步发现了线虫整体的N末端乙酰化状态,为进一步的N末端研究提供了支持。     

Quantitative Acetylomics Reveals Dynamics of Protein Lysine Acetylation in Mouse Livers During Aging and Upon the Treatment of Nicotinamide Mononucleotide

Lysine acetylation is a reversible and dynamic post-translational modification that plays vital roles in regulating multiple cellular processes including aging. However, acetylome-wide analysis in the aging process remains poorly studied in mammalian tissues. Nicotinamide adenine dinucleotide (NAD⁺), a hub metabolite, benefits health span at least in part due to the activation of Sirtuins, a family of NAD⁺-consuming deacetylases, indicating changes in acetylome. Here, we combine two antibodies for the enrichment of acetylated peptides and perform label-free quantitative acetylomic analysis of mouse livers during natural aging and upon the treatment of beta-nicotinamide mononucleotide (NMN), a NAD⁺ booster. Our study describes previously unknown acetylation sites and reveals the acetylome-wide dynamics with age as well as upon the treatment of NMN. We discover protein acetylation events as potential aging biomarkers. We demonstrate that the life-beneficial effect of NMN could be partially reflected by the changes in age-related protein acetylation. Our quantitative assessment indicates that NMN has mild effects on acetylation sites previously reported as substrates of Sirtuins. Collectively, our data analyze protein acetylation with age, laying critical foundation for the functional study of protein post-translational modification essential for healthy aging and perhaps disease conditions.     

Improving Protein Expression Prediction Using Extra Features and Ensemble Averaging

The article focus is the improvement of machine learning models capable of predicting protein expression levels based on their codon encoding. Support vector regression (SVR) and partial least squares (PLS) were used to create the models. SVR yields predictions that surpass those of PLS. It is shown that it is possible to improve the models predictive ability by using two more input features, codon identification number and codon count, besides the already used codon bias and minimum free energy. In addition, applying ensemble averaging to the SVR or PLS models also improves the results even further. The present work motivates the test of different ensembles and features with the aim of improving the prediction models whose correlation coefficients are still far from perfect. These results are relevant for the optimization of codon usage and enhancement of protein expression levels in synthetic biology problems.     

Progressive Clustering Based Method for Protein Function Prediction

In recent years, significant effort has been given to predicting protein functions from protein interaction data generated from high throughput techniques. However, predicting protein functions correctly and reliably still remains a challenge. Recently, many computational methods have been proposed for predicting protein functions. Among these methods, clustering based methods are the most promising. The existing methods, however, mainly focus on protein relationship modeling and the prediction algorithms that statically predict functions from the clusters that are related to the unannotated proteins. In fact, the clustering itself is a dynamic process and the function prediction should take this dynamic feature of clustering into consideration. Unfortunately, this dynamic feature of clustering is ignored in the existing prediction methods. In this paper, we propose an innovative progressive clustering based prediction method to trace the functions of relevant annotated proteins across all clusters that are generated through the progressive clustering of proteins. A set of prediction criteria is proposed to predict functions of unannotated proteins from all relevant clusters and traced functions. The method was evaluated on real protein interaction datasets and the results demonstrated the effectiveness of the proposed method compared with representative existing methods.     

iSucc-PseAAC:基于集成机器学习的赖氨酸琥珀酰化修饰位点预测

赖氨酸琥珀酰化是一种新型的翻译后修饰,在蛋白质调节和细胞功能控制中发挥重要作用,所以准确识别蛋白质中的琥珀酰化位点是有必要的。传统的实验耗费物力和财力。通过计算方法预测是近段时间以来提出的一种高效的预测方法。本研究中,我们开发了一种新的预测方法iSucc-PseAAC,它是通过使用多种分类算法结合不同的特征提取方法。最终发现,基于耦合序列(PseAAC)特征提取下,使用支持向量机分类效果是最好的,并结合集成学习解决了数据不平衡问题。与现有方法预测效果对比,iSucc-PseAAC在区分赖氨酸琥珀酰化位点方面,更具有意义和实用性。