Regulation of transcription factor function by phosphorylation

2000 ◽  
Vol 57 (8) ◽  
pp. 1172-1183 ◽  
Author(s):  
A. J. Whitmarsh ◽  
R. J. Davis*
2009 ◽  
Vol 69 (8) ◽  
pp. 3501-3509 ◽  
Author(s):  
Qiang Li ◽  
Nu Zhang ◽  
Zhiliang Jia ◽  
Xiangdong Le ◽  
Bingbing Dai ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ra Ham Lee ◽  
Jae-Don Oh ◽  
Jae Sam Hwang ◽  
Hak-Kyo Lee ◽  
Donghyun Shin

AbstractMalignant melanoma is highly resistant to conventional treatments and is one of the most aggressive types of skin cancers. Conventional cancer treatments are limited due to drug resistance, tumor selectivity, and solubility. Therefore, new treatments with fewer side effects and excellent effects should be developed. In previous studies, we have analyzed antimicrobial peptides (AMPs), which showed antibacterial and anti-inflammatory effects in insects, and some AMPs also exhibited anticancer efficacy. Anticancer peptides (ACPs) are known to have fewer side effects and high anticancer efficacy. In this study, the insect-derived peptide poecilocorisin-1 (PCC-1) did not induce toxicity in the human epithelial cell line HaCaT, but its potential as an anticancer agent was confirmed through specific effects of antiproliferation, apoptosis, and cell cycle arrest in two melanoma cell lines, SK-MEL-28 and G361. Additionally, we discovered a novel anticancer mechanism of insect-derived peptides in melanoma through the regulation of transcription factor Sp1 protein, which is overexpressed in cancer, apoptosis, and cell cycle-related proteins. Taken together, this study aims to clarify the anticancer efficacy and safety of insect-derived peptides and to present their potential as future therapeutic agents.


eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Anders S Hansen ◽  
Erin K O'Shea

Signaling pathways often transmit multiple signals through a single shared transcription factor (TF) and encode signal information by differentially regulating TF dynamics. However, signal information will be lost unless it can be reliably decoded by downstream genes. To understand the limits on dynamic information transduction, we apply information theory to quantify how much gene expression information the yeast TF Msn2 can transduce to target genes in the amplitude or frequency of its activation dynamics. We find that although the amount of information transmitted by Msn2 to single target genes is limited, information transduction can be increased by modulating promoter cis-elements or by integrating information from multiple genes. By correcting for extrinsic noise, we estimate an upper bound on information transduction. Overall, we find that information transduction through amplitude and frequency regulation of Msn2 is limited to error-free transduction of signal identity, but not signal intensity information.


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