scholarly journals ‘O-GlcNAc Code’ Mediated Biological Functions of Downstream Proteins

Molecules ◽  
2018 ◽  
Vol 23 (8) ◽  
pp. 1967 ◽  
Author(s):  
Linhong Zhao ◽  
Junaid Ali Shah ◽  
Yong Cai ◽  
Jingji Jin
Keyword(s):  
Neurodegenerative Disease ◽  
Glycoside Hydrolase ◽  
Research Data ◽  
Cellular Proteins ◽  
Specific Substrate ◽  
Biological Processes ◽  
Biological Functions ◽  
Post Translational Modifications ◽  
Glcnac Transferase ◽  
Protein Recruitment

As one of the post-translational modifications, O-linked β-N-acetylglucosamine (O-GlcNAc) modification (O-GlcNAcylation) often occurs on serine (Ser) and threonine (Thr) residues of specific substrate cellular proteins via the addition of O-GlcNAc group by O-GlcNAc transferase (OGT). Maintenance of normal intracellular levels of O-GlcNAcylation is controlled by OGT and glycoside hydrolase O-GlcNAcase (OGA). Unbalanced O-GlcNAcylation levels have been involved in many diseases, including diabetes, cancer, and neurodegenerative disease. Recent research data reveal that O-GlcNAcylation at histones or non-histone proteins may provide recognition platforms for subsequent protein recruitment and further initiate intracellular biological processes. Here, we review the current understanding of the ‘O-GlcNAc code’ mediated intracellular biological functions of downstream proteins.

scholarly journals Mint Imperial: 16–18 December, 2002: Biochemical Society Meeting No. 678, Imperial College, London

2003 ◽  
Vol 25 (1) ◽  
pp. 25-27
Author(s):  
Gary Burd
Keyword(s):  
Drug Discovery ◽  
Human Disease ◽  
Imperial College ◽  
Cellular Proteins ◽  
Biological Processes ◽  
Biological Functions ◽  
Annual Symposium ◽  
Society Meeting ◽  
The World ◽  
Human Ageing

Ah… Christmas in London! But it seems the science was the biggest draw, as delegates came from around the world to listen to two medal lectures, and attend the Annual Symposium in honour of Alan Barrett, Proteases and the Regulation of Biological Processes. The Annual Symposium will be published as part of the Biochemical Society Symposia Series in the summer. Other colloquia included Polyamines and their Role in Human Disease, Human Ageing: from the Bench to the Clinic, Sulphotransferases in Glycobiology, Drug Discovery and Design, and Proteasome Interactions with Viral and Cellular Proteins. The Research Colloquium for young scientists was once again very popular, this time concentrating on Biological Functions of Sulphated Glycoproteins. Unusually, no dancing was observed at this meeting, but there was plenty of eating, with each colloquium having its own dinner.

Structure, Functions and Selective Inhibitors of HDAC6

2019 ◽  
Vol 18 (28) ◽  
pp. 2429-2447 ◽  
Author(s):  
Tao Liang ◽  
Hao Fang
Keyword(s):  
Cell Cycle ◽  
Cell Motility ◽  
Histone Deacetylases ◽  
Cell Cycle Progression ◽  
Research Data ◽  
Biological Processes ◽  
Biological Functions ◽  
Selective Inhibitors ◽  
Cycle Progression ◽  
Promising Target

Histone deacetylases 6 (HDAC6) has emerged as a promising target for the treatment of various human diseases including cancer, neurodegenerative disease and immunology due to its unique structure, substrate and biological functions. HDAC6 is involved in cell motility, cell survival, cell cycle progression, developmental events, prognosis as well as protein degradation and the involvement of HDAC6 in multiple biological processes has gained lots of attention. There is increasing interest in HDAC6 and its selective inhibitors. More than twenty years of synthetic efforts have developed various HDAC6 selective inhibitors with different Cap, linker and ZBG. This review will summarize recent research data regarding HDAC6 and various HDAC6 selective inhibitors.

Comparison and Analysis of Computational Methods for Identifying N6 - methyladenosine Sites in Saccharomyces Cerevisiae

2020 ◽  
Vol 26 ◽  
Author(s):  
Pengmian Feng ◽  
Lijing Feng ◽  
Chaohui Tang
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Computational Methods ◽  
Computational Analysis ◽  
Computational Prediction ◽  
Experimental Methods ◽  
Biological Processes ◽  
Biological Functions ◽  
Precise Location ◽  
Future Directions ◽  
The Past

Background and Purpose: N 6 -methyladenosine (m6A) plays critical roles in a broad set of biological processes. Knowledge about the precise location of m6A site in the transcriptome is vital for deciphering its biological functions. Although experimental techniques have made substantial contributions to identify m6A, they are still labor intensive and time consuming. As good complements to experimental methods, in the past few years, a series of computational approaches have been proposed to identify m6A sites. Methods: In order to facilitate researchers to select appropriate methods for identifying m6A sites, it is necessary to give a comprehensive review and comparison on existing methods. Results: Since researches on m6A in Saccharomyces cerevisiae are relatively clear, in this review, we summarized recent progresses on computational prediction of m6A sites in S. cerevisiae and assessed the performance of existing computational methods. Finally, future directions of computationally identifying m6A sites were presented. Conclusion: Taken together, we anticipate that this review will provide important guides for computational analysis of m 6A modifications.

scholarly journals Novel Roles for the Sirtuin Deacylase SIRT5 in Normal Physiology and in Cancer

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 741-741
Author(s):  
David Lombard
Keyword(s):  
Mitochondrial Matrix ◽  
Genomic Integrity ◽  
Biological Functions ◽  
Protein Targets ◽  
Post Translational Modifications ◽  
Catalytic Activities ◽  
Cellular Processes ◽  
Specific Cancer ◽  
Cancer Types ◽  
Chromatin Biology

Abstract Sirtuins are NAD+-dependent deacylases that regulate diverse cellular processes such as metabolic homeostasis and genomic integrity. Mammals possess seven sirtuin family members, SIRT1-SIRT7, that display diverse subcellular localization patterns, catalytic activities, protein targets, and biological functions. Three sirtuins, SIRT3, SIRT4, and SIRT5, are primarily located in the mitochondrial matrix. SIRT5 is a very inefficient deacetylase, instead removing negatively charged post-translational modifications (succinyl, glutaryl, and malonyl groups) from lysines of its target proteins, in mitochondria and throughout the cell. SIRT5 plays only modest known roles in normal physiology, with its major functions occurring in the heart under stress conditions. In contrast, in specific cancer types, including melanoma, we have identified a major pro-survival role for SIRT5. We have traced this function of SIRT5 to novel roles for this protein in regulating chromatin biology. New insights into mechanisms of SIRT5 action in cancer, and in normal myocardium, will be discussed.

PI(4,5)P2 Clustering and Its Impact on Biological Functions

2021 ◽  
Vol 90 (1) ◽  
Author(s):  
Yi Wen ◽  
Volker M. Vogt ◽  
Gerald W. Feigenson
Keyword(s):  
Plasma Membrane ◽  
Cell Biology ◽  
Cellular Proteins ◽  
Annual Review ◽  
Publication Date ◽  
Biological Functions ◽  
Cellular Functions ◽  
Dynamic Distribution ◽  
Multivalent Cation ◽  
Lipid Environment

Located at the inner leaflet of the plasma membrane, phosphatidylinositol 4,5-bisphosphate [PI(4,5)P2] comprises only 1–2 mol% of total PM lipids. With its synthesis and turnover both spatially and temporally regulated, PI(4,5)P2 recruits and interacts with hundreds of cellular proteins to support a broad spectrum of cellular functions. Several factors contribute to the versatile and dynamic distribution of PI(4,5)P2 in membranes. Physiological multivalent cations such as Ca2+ and Mg2+ can bridge between PI(4,5)P2 headgroups, forming nanoscopic PI(4,5)P2–cation clusters. The distinct lipid environment surrounding PI(4,5)P2 affects the degree of PI(4,5)P2 clustering. In addition, diverse cellular proteins interacting with PI(4,5)P2 can further regulate PI(4,5)P2 lateral distribution and accessibility. This review summarizes the current understanding of PI(4,5)P2 behavior in both cells and model membranes, with emphasis on both multivalent cation– and protein-induced PI(4,5)P2 clustering. Understanding the nature of spatially separated pools of PI(4,5)P2 is fundamental to cell biology. Expected final online publication date for the Annual Review of Biochemistry, Volume 90 is June 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1969
Author(s):  
Dongmin Jung ◽  
Xijin Ge
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Networks ◽  
Interaction Networks ◽  
Biological Processes ◽  
Bioconductor Package ◽  
Biological Functions ◽  
Ppi Network ◽  
Protein Protein Interaction ◽  
Ppi Networks ◽  
Related Proteins

Interactions between proteins occur in many, if not most, biological processes. This fact has motivated the development of a variety of experimental methods for the identification of protein-protein interaction (PPI) networks. Leveraging PPI data available STRING database, we use network-based statistical learning methods to infer the putative functions of proteins from the known functions of neighboring proteins on a PPI network. This package identifies such proteins often involved in the same or similar biological functions. The package is freely available at the Bioconductor web site (http://bioconductor.org/packages/PPInfer/).

scholarly journals Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species

2021 ◽  
Vol 17 (2) ◽  
pp. e1008767
Author(s):  
Zutan Li ◽  
Hangjin Jiang ◽  
Lingpeng Kong ◽  
Yuanyuan Chen ◽  
Kun Lang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Prediction Accuracy ◽  
Cross Validation ◽  
Biological Processes ◽  
Biological Functions ◽  
Learning Framework ◽  
Wide Range ◽  
Genomic Scale ◽  
Downstream Gene Expression ◽  
Fold Cross Validation

N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA’s biological functions. However, the existing experimental techniques for detecting 6mA sites are cost-ineffective, which implies the great need of developing new computational methods for this problem. In this paper, we developed, without requiring any prior knowledge of 6mA and manually crafted sequence features, a deep learning framework named Deep6mA to identify DNA 6mA sites, and its performance is superior to other DNA 6mA prediction tools. Specifically, the 5-fold cross-validation on a benchmark dataset of rice gives the sensitivity and specificity of Deep6mA as 92.96% and 95.06%, respectively, and the overall prediction accuracy is 94%. Importantly, we find that the sequences with 6mA sites share similar patterns across different species. The model trained with rice data predicts well the 6mA sites of other three species: Arabidopsis thaliana, Fragaria vesca and Rosa chinensis with a prediction accuracy over 90%. In addition, we find that (1) 6mA tends to occur at GAGG motifs, which means the sequence near the 6mA site may be conservative; (2) 6mA is enriched in the TATA box of the promoter, which may be the main source of its regulating downstream gene expression.

scholarly journals PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks

F1000Research ◽  
2018 ◽  
Vol 6 ◽  
pp. 1969 ◽  
Author(s):  
Dongmin Jung ◽  
Xijin Ge
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Networks ◽  
Interaction Networks ◽  
Biological Processes ◽  
Bioconductor Package ◽  
Biological Functions ◽  
Ppi Network ◽  
Protein Protein Interaction ◽  
Ppi Networks ◽  
Related Proteins

Interactions between proteins occur in many, if not most, biological processes. This fact has motivated the development of a variety of experimental methods for the identification of protein-protein interaction (PPI) networks. Leveraging PPI data available in the STRING database, we use a network-based statistical learning methods to infer the putative functions of proteins from the known functions of neighboring proteins on a PPI network. This package identifies such proteins often involved in the same or similar biological functions. The package is freely available at the Bioconductor web site (http://bioconductor.org/packages/PPInfer/).

scholarly journals Role of Main RNA Methylation in Hepatocellular Carcinoma: N6-Methyladenosine, 5-Methylcytosine, and N1-Methyladenosine

2021 ◽  
Vol 9 ◽  
Author(s):  
Yating Xu ◽  
Menggang Zhang ◽  
Qiyao Zhang ◽  
Xiao Yu ◽  
Zongzong Sun ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cellular Differentiation ◽  
Molecular Mechanisms ◽  
Gene Sequence ◽  
Epigenetic Modification ◽  
Biological Processes ◽  
Biological Functions ◽  
Rna Detection ◽  
Rna Methylation

RNA methylation is considered a significant epigenetic modification, a process that does not alter gene sequence but may play a necessary role in multiple biological processes, such as gene expression, genome editing, and cellular differentiation. With advances in RNA detection, various forms of RNA methylation can be found, including N6-methyladenosine (m6A), N1-methyladenosine (m1A), and 5-methylcytosine (m5C). Emerging reports confirm that dysregulation of RNA methylation gives rise to a variety of human diseases, particularly hepatocellular carcinoma. We will summarize essential regulators of RNA methylation and biological functions of these modifications in coding and noncoding RNAs. In conclusion, we highlight complex molecular mechanisms of m6A, m5C, and m1A associated with hepatocellular carcinoma and hope this review might provide therapeutic potent of RNA methylation to clinical research.

scholarly journals Zinc-finger protein A20, a regulator of inflammation and cell survival, has de-ubiquitinating activity

2004 ◽  
Vol 378 (3) ◽  
pp. 727-734 ◽  
Author(s):  
Paul C. EVANS ◽  
Huib OVAA ◽  
Maureen HAMON ◽  
Peter J. KILSHAW ◽  
Svetlana HAMM ◽  
...  
Keyword(s):  
Zinc Finger ◽  
Zinc Finger Protein ◽  
Catalytic Domain ◽  
Cysteine Proteases ◽  
Cellular Proteins ◽  
Tumour Necrosis Factor Receptor ◽  
Specific Substrate ◽  
Polyubiquitin Chains ◽  
Finger Protein ◽  
The Stability

Ubiquitination regulates the stability and/or activity of numerous cellular proteins. The corollary is that de-ubiquitinating enzymes, which ‘trim’ polyubiquitin chains from specific substrate proteins, play key roles in controlling fundamental cellular activities. Ubiquitin is essential at several stages during the activation of NF-κB (nuclear factor κB), a central co-ordinator of inflammation and other immune processes. Ubiquitination is known to cause degradation of the inhibitory molecule IκBα (inhibitor of κB). In addition, activation of TRAF (tumour-necrosis-factor-receptor-associated factor) and IKKγ (IκB kinase γ)/NEMO (NF-κB essential modifier) signal adaptors relies on their modification with ‘nonclassical’ forms of polyubiquitin chains. Ubiquitin also plays a key role in determining cell fate by modulating the stability of numerous pro-apoptotic or anti-apoptotic proteins. The zinc-finger protein A20 has dual functions in inhibiting NF-κB activation and suppressing apoptosis. The molecular mechanisms of these anti-inflammatory and cytoprotective effects are unknown. Here we demonstrate that A20 is a de-ubiquitinating enzyme. It contains an N-terminal catalytic domain that belongs to the ovarian-tumour superfamily of cysteine proteases. A20 cleaved ubiquitin monomers from branched polyubiquitin chains linked through Lys48 or Lys63 and bound covalently to a thiol-group-reactive, ubiquitin-derived probe. Mutation of a conserved cysteine residue in the catalytic site (Cys103) abolished these activities. A20 did not have a global effect on ubiquitinated cellular proteins, which indicates that its activity is target-specific. The biological significance of the catalytic domain is unknown.

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