scholarly journals Cardiac decompensation and promiscuous prenylation of small GTPases in cardiomyocytes in response to local mevalonate pathway disruption†

2021 ◽  
Author(s):  
Kobina Essandoh ◽  
Richard J. Auchus ◽  
Matthew J. Brody
Keyword(s):  
Mevalonate Pathway ◽  
Small Gtpases ◽  
Cardiac Decompensation

A Systems Approach to ER Stress Pathway Dynamics Reveals the Impact of Freeze-Dried Broccoli Extract to Mitigate Inflammation in Human Adipocytes through the Mevalonate Pathway

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2076-P
Author(s):  
ALICE MURPHY ◽  
SAHAR AZHARIAN ◽  
GYANENDRA TRIPATHI ◽  
GUY BARKER ◽  
MICHAEL J. CHAPPELL ◽  
...  
Keyword(s):  
Er Stress ◽  
Systems Approach ◽  
Mevalonate Pathway ◽  
Human Adipocytes ◽  
Freeze Dried ◽  
The Impact ◽  
Stress Pathway

Isotopically Labeled Desthiobiotin Azide (isoDTB) Tags Enable Global Profiling of the Bacterial Cysteinome

2019 ◽  
Author(s):  
Patrick R. A. Zanon ◽  
Lisa Lewald ◽  
Stephan M. Hacker
Keyword(s):  
Binding Sites ◽  
Bacterial Resistance ◽  
Mevalonate Pathway ◽  
Rapid Development ◽  
High Reactivity ◽  
Functional Importance ◽  
Essential Proteins ◽  
Covalent Inhibitors ◽  
Druggable Targets ◽  
Covalent Ligands

Rapid development of bacterial resistance has led to an urgent need to find new druggable targets for antibiotics. In this context, residue-specific chemoproteomic approaches enable proteome-wide identification of binding sites for covalent inhibitors. Here, we describe isotopically labeled desthiobiotin azide (isoDTB) tags that are easily synthesized, shorten the chemoproteomic workflow and allow an increased coverage of cysteines in bacterial systems. We quantify 59% of all cysteines in essential proteins in <i>Staphylococcus aureus</i> and discover 88 cysteines with high reactivity, which correlates with functional importance. Furthermore, we identify 268 cysteines that are engaged by covalent ligands. We verify inhibition of HMG-CoA synthase, which will allow addressing the bacterial mevalonate pathway through a new target. Overall, a comprehensive map of the bacterial cysteinome is obtained, which will facilitate the development of antibiotics with novel modes-of-action.

Exploring Proteomic Drug Targets, Therapeutic Strategies and Protein - Protein Interactions in Cancer: Mechanistic View

2019 ◽  
Vol 19 (6) ◽  
pp. 430-448 ◽  
Author(s):  
Khalid Bashir Dar ◽  
Aashiq Hussain Bhat ◽  
Shajrul Amin ◽  
Syed Anjum ◽  
Bilal Ahmad Reshi ◽  
...  
Keyword(s):  
Protein Interactions ◽  
High Throughput Screening ◽  
Critical Role ◽  
Cancer Therapeutics ◽  
Adaptor Proteins ◽  
Therapeutic Strategies ◽  
Small Gtpases ◽  
Beta Catenin ◽  
Protein Protein Interactions ◽  
Apoptosis Protein

Protein-Protein Interactions (PPIs) drive major signalling cascades and play critical role in cell proliferation, apoptosis, angiogenesis and trafficking. Deregulated PPIs are implicated in multiple malignancies and represent the critical targets for treating cancer. Herein, we discuss the key protein-protein interacting domains implicated in cancer notably PDZ, SH2, SH3, LIM, PTB, SAM and PH. These domains are present in numerous enzymes/kinases, growth factors, transcription factors, adaptor proteins, receptors and scaffolding proteins and thus represent essential sites for targeting cancer. This review explores the candidature of various proteins involved in cellular trafficking (small GTPases, molecular motors, matrix-degrading enzymes, integrin), transcription (p53, cMyc), signalling (membrane receptor proteins), angiogenesis (VEGFs) and apoptosis (BCL-2family), which could possibly serve as targets for developing effective anti-cancer regimen. Interactions between Ras/Raf; X-linked inhibitor of apoptosis protein (XIAP)/second mitochondria-derived activator of caspases (Smac/DIABLO); Frizzled (FRZ)/Dishevelled (DVL) protein; beta-catenin/T Cell Factor (TCF) have also been studied as prospective anticancer targets. Efficacy of diverse molecules/ drugs targeting such PPIs although evaluated in various animal models/cell lines, there is an essential need for human-based clinical trials. Therapeutic strategies like the use of biologicals, high throughput screening (HTS) and fragment-based technology could play an imperative role in designing cancer therapeutics. Moreover, bioinformatic/computational strategies based on genome sequence, protein sequence/structure and domain data could serve as competent tools for predicting PPIs. Exploring hot spots in proteomic networks represents another approach for developing targetspecific therapeutics. Overall, this review lays emphasis on a productive amalgamation of proteomics, genomics, biochemistry, and molecular dynamics for successful treatment of cancer.

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