scholarly journals EGCG binds intrinsically disordered N-terminal domain of p53 and disrupts p53-MDM2 interaction

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jing Zhao ◽  
Alan Blayney ◽  
Xiaorong Liu ◽  
Lauren Gandy ◽  
Weihua Jin ◽  
...  
Keyword(s):  
Large Scale ◽  
Molecular Mechanisms ◽  
Epigallocatechin Gallate ◽  
Cancer Drug ◽  
Dynamic Interactions ◽  
Cancer Drug Discovery ◽  
Intrinsically Disordered ◽  
Terminal Domain ◽  
Cancerous Cells

AbstractEpigallocatechin gallate (EGCG) from green tea can induce apoptosis in cancerous cells, but the underlying molecular mechanisms remain poorly understood. Using SPR and NMR, here we report a direct, μM interaction between EGCG and the tumor suppressor p53 (KD = 1.6 ± 1.4 μM), with the disordered N-terminal domain (NTD) identified as the major binding site (KD = 4 ± 2 μM). Large scale atomistic simulations (>100 μs), SAXS and AUC demonstrate that EGCG-NTD interaction is dynamic and EGCG causes the emergence of a subpopulation of compact bound conformations. The EGCG-p53 interaction disrupts p53 interaction with its regulatory E3 ligase MDM2 and inhibits ubiquitination of p53 by MDM2 in an in vitro ubiquitination assay, likely stabilizing p53 for anti-tumor activity. Our work provides insights into the mechanisms for EGCG’s anticancer activity and identifies p53 NTD as a target for cancer drug discovery through dynamic interactions with small molecules.

scholarly journals The Mysterious Unfoldome: Structureless, Underappreciated, Yet Vital Part of Any Given Proteome

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Vladimir N. Uversky
Keyword(s):  
Large Scale ◽  
Intrinsically Disordered Proteins ◽  
Biologically Active ◽  
Disordered Proteins ◽  
Unfolded Proteins ◽  
Intrinsically Disordered ◽  
Proteome Level ◽  
Natively Unfolded ◽  
Natively Unfolded Proteins

Contrarily to the general believe, many biologically active proteins lack stable tertiary and/or secondary structure under physiological conditions in vitro. These intrinsically disordered proteins (IDPs) are highly abundant in nature and many of them are associated with various human diseases. The functional repertoire of IDPs complements the functions of ordered proteins. Since IDPs constitute a significant portion of any given proteome, they can be combined in an unfoldome; which is a portion of the proteome including all IDPs (also known as natively unfolded proteins, therefore, unfoldome), and describing their functions, structures, interactions, evolution, and so forth. Amino acid sequence and compositions of IDPs are very different from those of ordered proteins, making possible reliable identification of IDPs at the proteome level by various computational means. Furthermore, IDPs possess a number of unique structural properties and are characterized by a peculiar conformational behavior, including their high stability against low pH and high temperature and their structural indifference toward the unfolding by strong denaturants. These peculiarities were shown to be useful for elaboration of the experimental techniques for the large-scale identification of IDPs in various organisms. Some of the computational and experimental tools for the unfoldome discovery are discussed in this review.

scholarly journals Frontiers in Anti-cancer Drug Discovery: Challenges and Perspectives of Metformin as Anti-angiogenic Add-on Therapy in Glioblastoma

2021 ◽  
Author(s):  
Laura Guarnaccia ◽  
Stefania Elena Navone ◽  
Matteo Maria Masseroli ◽  
Melissa Balsamo ◽  
Manuela Caroli ◽  
...  
Keyword(s):  
Target Therapy ◽  
Cancer Drug ◽  
Cancer Drug Discovery ◽  
Average Survival ◽  
Anti Cancer ◽  
Tumor Neovascularization ◽  
Novel Therapeutic Strategies

Glioblastoma (GBM) is the most common primitive tumor in adult central nervous system (CNS), classified as grade IV according to WHO 2016 classification. GBM shows a poor prognosis with an average survival of approximately 15 months, representing an extreme therapeutic challenge. One of its distinctive and aggressive features is aberrant angiogenesis, which drives tumor neovascularization, representing a promising candidate for molecular target therapy. Although several pre-clinical studies and clinical trials have shown promising results, anti-angiogenic drugs have not led to a significant improvement in overall survival (OS), suggesting the necessity of identifying novel therapeutic strategies. Metformin, an anti-hyperglycemic drug of the Biguanides family, used as first line treatment in Type 2 Diabetes Mellitus (T2DM), demonstrated in vitro and in vivo antitumoral efficacy in many different tumors, including GBM. From this evidence, a process of repurposing of the drug has begun, leading to the demonstration of the inhibition of various oncopromoter mechanisms and, consequently, to the identification of the molecular pathways involved. Here, we review and discuss the potential metformin’s antitumoral effects on GBM, inspecting if it could properly act as an anti-angiogenic compound to be considered as a safely add-on therapy in the treatment and management of GBM patients.

scholarly journals An in vivo large-scale chemical screening platform using Drosophila for anti-cancer drug discovery

2012 ◽  
Vol 6 (2) ◽  
pp. 521-529 ◽  
Author(s):  
L. F. Willoughby ◽  
T. Schlosser ◽  
S. A. Manning ◽  
J. P. Parisot ◽  
I. P. Street ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Large Scale ◽  
Cancer Drug ◽  
Chemical Screening ◽  
Cancer Drug Discovery ◽  
Anti Cancer ◽  
Screening Platform

scholarly journals Identification of IL10RA by Weighted Correlation Network Analysis and in vitro Validation of Its Association With Prognosis of Metastatic Melanoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Si Cheng ◽  
Zhe Li ◽  
Wenhao Zhang ◽  
Zhiqiang Sun ◽  
Zhigang Fan ◽  
...  
Keyword(s):  
Network Analysis ◽  
Metastatic Melanoma ◽  
Large Scale ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Migration And Invasion

Skin cutaneous melanoma (SKCM) is the major cause of death for skin cancer patients, its high metastasis often leads to poor prognosis of patients with malignant melanoma. However, the molecular mechanisms underlying metastatic melanoma remain to be elucidated. In this study we aim to identify and validate prognostic biomarkers associated with metastatic melanoma. We first construct a co-expression network using large-scale public gene expression profiles from GEO, from which candidate genes are screened out using weighted gene co-expression network analysis (WGCNA). A total of eight modules are established via the average linkage hierarchical clustering, and 111 hub genes are identified from the clinically significant modules. Next, two other datasets from GEO and TCGA are used for further screening of biomarker genes related to prognosis of metastatic melanoma, and identified 11 key genes via survival analysis. We find that IL10RA has the highest correlation with clinically important modules among all identified biomarker genes. Further in vitro biochemical experiments, including CCK8 assays, wound-healing assays and transwell assays, have verified that IL10RA can significantly inhibit the proliferation, migration and invasion of melanoma cells. Furthermore, gene set enrichment analysis shows that PI3K-AKT signaling pathway is significantly enriched in metastatic melanoma with highly expressed IL10RA, indicating that IL10RA mediates in metastatic melanoma via PI3K-AKT pathway.

scholarly journals Biophysical and biochemical properties of Deup1 self-assemblies: a potential driver for deuterosome formation during multiciliogenesis

Biology Open ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. bio056432 ◽  
Author(s):  
Shohei Yamamoto ◽  
Ryoichi Yabuki ◽  
Daiju Kitagawa
Keyword(s):  
Self Assembly ◽  
Large Scale ◽  
Molecular Mechanisms ◽  
Coiled Coil ◽  
Biochemical Properties ◽  
The Self ◽  
Centrosomal Protein ◽  
Biochemical Analyses ◽  
Stable Structures

ABSTRACTThe deuterosome is a non-membranous organelle involved in large-scale centriole amplification during multiciliogenesis. Deuterosomes are specifically assembled during the process of multiciliogenesis. However, the molecular mechanisms underlying deuterosome formation are poorly understood. In this study, we investigated the molecular properties of deuterosome protein 1 (Deup1), an essential protein involved in deuterosome assembly. We found that Deup1 has the ability to self-assemble into macromolecular condensates both in vitro and in cells. The Deup1-containing structures formed in multiciliogenesis and the Deup1 condensates self-assembled in vitro showed low turnover of Deup1, suggesting that Deup1 forms highly stable structures. Our biochemical analyses revealed that an increase of the concentration of Deup1 and a crowded molecular environment both facilitate Deup1 self-assembly. The self-assembly of Deup1 relies on its N-terminal region, which contains multiple coiled coil domains. Using an optogenetic approach, we demonstrated that self-assembly and the C-terminal half of Deup1 were sufficient to spatially compartmentalize centrosomal protein 152 (Cep152) and polo like kinase 4 (Plk4), master components for centriole biogenesis, in the cytoplasm. Collectively, the present data suggest that Deup1 forms the structural core of the deuterosome through self-assembly into stable macromolecular condensates.This article has an associated First Person interview with the first author of the paper.

scholarly journals CloneSifter: enrichment of rare clones from heterogeneous cell populations

BMC Biology ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
David Feldman ◽  
FuNien Tsai ◽  
Anthony J. Garrity ◽  
Ryan O’Rourke ◽  
Lisa Brenan ◽  
...  
Keyword(s):  
Large Scale ◽  
Molecular Mechanisms ◽  
Cancer Metastasis ◽  
Population Level ◽  
Fitness Assessment ◽  
Large Populations ◽  
Organismal Development ◽  
Insight Into

Abstract Background Many biological processes, such as cancer metastasis, organismal development, and acquisition of resistance to cytotoxic therapy, rely on the emergence of rare sub-clones from a larger population. Understanding how the genetic and epigenetic features of diverse clones affect clonal fitness provides insight into molecular mechanisms underlying selective processes. While large-scale barcoding with NGS readout has facilitated cellular fitness assessment at the population level, this approach does not support characterization of clones prior to selection. Single-cell genomics methods provide high biological resolution, but are challenging to scale across large populations to probe rare clones and are destructive, limiting further functional analysis of important clones. Results Here, we develop CloneSifter, a methodology for tracking and enriching rare clones throughout their response to selection. CloneSifter utilizes a CRISPR sgRNA-barcode library that facilitates the isolation of viable cells from specific clones within the barcoded population using a sequence-specific retrieval reporter. We demonstrate that CloneSifter can measure clonal fitness of cancer cell models in vitro and retrieve targeted clones at abundance as low as 1 in 1883 in a heterogeneous cell population. Conclusions CloneSifter provides a means to track and access specific and rare clones of interest across dynamic changes in population structure to comprehensively explore the basis of these changes.

Transcriptional profiling of in vitro smooth muscle cell differentiation identifies specific patterns of gene and pathway activation

2004 ◽  
Vol 19 (3) ◽  
pp. 292-302 ◽  
Author(s):  
Joshua M. Spin ◽  
Shriram Nallamshetty ◽  
Raymond Tabibiazar ◽  
Euan A. Ashley ◽  
Jennifer Y. King ◽  
...  
Keyword(s):  
Gene Expression ◽  
Smooth Muscle ◽  
Smooth Muscle Cell ◽  
Muscle Cell ◽  
Large Scale ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Transcriptional Profiling ◽  
Temporal Trends

Mesodermal and epidermal precursor cells undergo phenotypic changes during differentiation to the smooth muscle cell (SMC) lineage that are relevant to pathophysiological processes in the adult. Molecular mechanisms that underlie lineage determination and terminal differentiation of this cell type have received much attention, but the genetic program that regulates these processes has not been fully defined. Study of SMC differentiation has been facilitated by development of the P19-derived A404 embryonal cell line, which differentiates toward this lineage in the presence of retinoic acid and allows selection for cells adopting a SMC fate through a differentiation-specific drug marker. We sought to define global alterations in gene expression by studying A404 cells during SMC differentiation with oligonucleotide microarray transcriptional profiling. Using an in situ 60-mer array platform with more than 20,000 mouse genes derived from the National Institute on Aging clone set, we identified 2,739 genes that were significantly upregulated after differentiation was completed (false-detection ratio <1). These genes encode numerous markers known to characterize differentiated SMC, as well as many unknown factors. We further characterized the sequential patterns of gene expression during the differentiation time course, particularly for known transcription factor families, providing new insights into the regulation of the differentiation process. Changes in genes associated with specific biological ontology-based pathways were evaluated, and temporal trends were identified for functional pathways. In addition to confirming the utility of the A404 model, our data provide a large-scale perspective of gene regulation during SMC differentiation.

Cordycepin in Anticancer Research: Molecular Mechanism of Therapeutic Effects

2020 ◽  
Vol 27 (6) ◽  
pp. 983-996 ◽  
Author(s):  
Md. Asaduzzaman Khan ◽  
Mousumi Tania
Keyword(s):  
Anticancer Activity ◽  
Molecular Mechanisms ◽  
Therapeutic Potential ◽  
Cancer Drug ◽  
Therapeutic Effects ◽  
Anticancer Activities ◽  
Cancer Cell Growth ◽  
Ongoing Research

Background: Cordycepin is a nucleotide analogue from Cordyceps mushrooms, which occupies a notable place in traditional medicine. Objective: In this review article, we have discussed the recent findings on the molecular aspects of cordycepin interactions with its recognized cellular targets, and possible mechanisms of its anticancer activity. Methods: We have explored databases like pubmed, google scholar, scopus and web of science for the update information on cordycepin and mechanisms of its anticancer activity, and reviewed in this study. Results: Cordycepin has been widely recognized for its therapeutic potential against many types of cancers by various mechanisms. More specifically, cordycepin can induce apoptosis, resist cell cycle and cause DNA damage in cancer cells, and thus kill or control cancer cell growth. Also cordycepin can induce autophagy and modulate immune system. Furthermore, cordycepin also inhibits tumor metastasis. Although many success stories of cordycepin in anticancer research in vitro and in animal model, and there is no successful clinical trial yet. Conclusion: Ongoing research studies have reported highly potential anticancer activities of cordycepin with numerous molecular mechanisms. The in vitro and in vivo success of cordycepin in anticancer research might influence the clinical trials of cordycepin, and this molecule might be used for development of future cancer drug.

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