scholarly journals Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses

2014 ◽  
Vol 122 (12) ◽  
pp. 1261-1270 ◽  
Author(s):  
Qiang Zhang ◽  
Sudin Bhattacharya ◽  
Rory B. Conolly ◽  
Harvey J. Clewell ◽  
Norbert E. Kaminski ◽  
...  
Keyword(s):  
Signaling Network ◽  
Network Motifs ◽  
Molecular Signaling ◽  
Mechanistic Basis ◽  
Molecular Signaling Network

scholarly journals Skeletal Muscle Atrophy: Discovery of Mechanisms and Potential Therapies

Physiology ◽  
2019 ◽  
Vol 34 (4) ◽  
pp. 232-239 ◽  
Author(s):  
Scott M. Ebert ◽  
Asma Al-Zougbi ◽  
Sue C. Bodine ◽  
Christopher M. Adams
Keyword(s):  
Skeletal Muscle ◽  
Muscle Atrophy ◽  
Molecular Mechanisms ◽  
Signaling Network ◽  
Skeletal Muscle Atrophy ◽  
Molecular Signaling ◽  
Molecular Signaling Network

Skeletal muscle atrophy proceeds through a complex molecular signaling network that is just beginning to be understood. Here, we discuss examples of recently identified molecular mechanisms of muscle atrophy and how they highlight an immense need and opportunity for focused biochemical investigations and further unbiased discovery work.

scholarly journals Molecular signaling network complexity is correlated with cancer patient survivability

2012 ◽  
Vol 109 (23) ◽  
pp. 9209-9212 ◽  
Author(s):  
D. Breitkreutz ◽  
L. Hlatky ◽  
E. Rietman ◽  
J. A. Tuszynski
Keyword(s):  
Cancer Patient ◽  
Signaling Network ◽  
Molecular Signaling ◽  
Molecular Signaling Network

scholarly journals Identification of a Molecular Signaling Network that Regulates a Cellular Necrotic Cell Death Pathway

Cell ◽  
2008 ◽  
Vol 135 (7) ◽  
pp. 1311-1323 ◽  
Author(s):  
Junichi Hitomi ◽  
Dana E. Christofferson ◽  
Aylwin Ng ◽  
Jianhua Yao ◽  
Alexei Degterev ◽  
...  
Keyword(s):  
Cell Death ◽  
Signaling Network ◽  
Necrotic Cell Death ◽  
Molecular Signaling ◽  
Necrotic Cell ◽  
Cell Death Pathway ◽  
Molecular Signaling Network

scholarly journals Identification of anticancer drug target genes using an outside competitive dynamics model on cancer signaling networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tien-Dzung Tran ◽  
Duc-Tinh Pham
Keyword(s):  
Anticancer Drug ◽  
Drug Target ◽  
Target Genes ◽  
Signaling Network ◽  
Competitive Dynamics ◽  
Signaling Networks ◽  
Molecular Signaling ◽  
Dynamics Model ◽  
Cancer Signaling ◽  
The Impact

AbstractEach cancer type has its own molecular signaling network. Analyzing the dynamics of molecular signaling networks can provide useful information for identifying drug target genes. In the present study, we consider an on-network dynamics model—the outside competitive dynamics model—wherein an inside leader and an opponent competitor outside the system have fixed and different states, and each normal agent adjusts its state according to a distributed consensus protocol. If any normal agent links to the external competitor, the state of each normal agent will converge to a stable value, indicating support to the leader against the impact of the competitor. We determined the total support of normal agents to each leader in various networks and observed that the total support correlates with hierarchical closeness, which identifies biomarker genes in a cancer signaling network. Of note, by experimenting on 17 cancer signaling networks from the KEGG database, we observed that 82% of the genes among the top 3 agents with the highest total support are anticancer drug target genes. This result outperforms those of four previous prediction methods of common cancer drug targets. Our study indicates that driver agents with high support from the other agents against the impact of the external opponent agent are most likely to be anticancer drug target genes.

Cancerous perturbations within the ERK, PI3K/Akt, and Wnt/β-catenin signaling network constitutively activate inter-pathway positive feedback loops

2017 ◽  
Vol 13 (5) ◽  
pp. 830-840 ◽  
Author(s):  
Rahul Rao Padala ◽  
Rishabh Karnawat ◽  
Satish Bharathwaj Viswanathan ◽  
Abhishek Vijay Thakkar ◽  
Asim Bikas Das
Keyword(s):  
Signaling Pathways ◽  
Malignant Transformation ◽  
Positive Feedback ◽  
Feedback Loops ◽  
Signaling Network ◽  
Molecular Signaling ◽  
Activated State ◽  
Molecular Signaling Pathways

Perturbations in molecular signaling pathways result in a constitutively activated state, leading to malignant transformation of cells.

scholarly journals Intercellular Signaling Network Underlies Biological Time Across Multiple Temporal Scales

2018 ◽  
Author(s):  
Joshua Millstein ◽  
Keith C. Summa ◽  
Xia Yang ◽  
Jun Zhu ◽  
Huaiyu Mi ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Cellular Response ◽  
Signaling Network ◽  
Supplementary Information ◽  
Multiple Time ◽  
Molecular Signaling ◽  
Creb Binding Protein ◽  
Intercellular Signaling ◽  
Temporal Scales ◽  
Biological Time

AbstractMotivationCellular, physiological and molecular processes must be organized and regulated across multiple time domains throughout the lifespan of an organism. The technological revolution in molecular biology has led to the identification of numerous genes implicated in the regulation of diverse temporal biological processes. However, it is natural to question whether there is an underlying regulatory network governing multiple timescales simultaneously.ResultsUsing queries of relevant databases and literature searches, a single dense multiscale temporal regulatory network was identified involving core sets of genes that regulate circadian, cell cycle, and aging processes. The network was highly enriched for genes involved in signal transduction (P = 1.82e-82), with p53 and its regulators such as p300 and CREB binding protein forming key hubs, but also for genes involved in metabolism (P = 6.07e-127) and cellular response to stress (P = 1.56e-93). These results suggest an intertwined molecular signaling network that affects biological time across multiple temporal scales in response to environmental stimuli and available [email protected] informationSupplementary data are available online.

scholarly journals Identification of breast cancer patients based on human signaling network motifs

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Lina Chen ◽  
Xiaoli Qu ◽  
Mushui Cao ◽  
Yanyan Zhou ◽  
Wan Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Signaling Network ◽  
Network Motifs ◽  
Breast Cancer Patients
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