scholarly journals Ligatoxin B, a new cytotoxic protein with a novel helix–turn–helix DNA-binding domain from the mistletoe Phoradendron liga

2002 ◽  
Vol 366 (2) ◽  
pp. 405-413 ◽  
Author(s):  
Shi-Sheng LI ◽  
Joachim GULLBO ◽  
Petra LINDHOLM ◽  
Rolf LARSSON ◽  
Eva THUNBERG ◽  
...  

A new basic protein, designated ligatoxin B, containing 46 amino acid residues has been isolated from the mistletoe Phoradendron liga (Gill.) Eichl. (Viscaceae). The protein's primary structure, determined unambiguously using a combination of automated Edman degradation, trypsin enzymic digestion, and tandem MS analysis, was 1–KSCCPSTTAR–NIYNTCRLTG–ASRSVCASLS–GCKIISGSTC–DSGWNH–46. Ligatoxin B exhibited in vitro cytotoxic activities on the human lymphoma cell line U-937-GTB and the primary multidrug-resistant renal adenocarcinoma cell line ACHN, with IC50 values of 1.8μM and 3.2μM respectively. Sequence alignment with other thionins identified a new member of the class 3 thionins, ligatoxin B, which is similar to the earlier described ligatoxin A. As predicted by the method of homology modelling, ligatoxin B shares a three-dimensional structure with the viscotoxins and purothionins and so may have the same mode of cytotoxic action. The novel similarities observed by structural comparison of the helix–turn–helix (HTH) motifs of the thionins, including ligatoxin B, and the HTH DNA-binding proteins, led us to propose the working hypothesis that thionins represent a new group of DNA-binding proteins. This working hypothesis could be useful in further dissecting the molecular mechanisms of thionin cytotoxicity and of thionin opposition to multidrug resistance, and useful in clarifying the physiological function of thionins in plants.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 1769-1769
Author(s):  
Virryan Banzon ◽  
Tatiana Kousnetzova ◽  
Maria Hankewych ◽  
Kenneth Peterson ◽  
Joseph DeSimone ◽  
...  

Abstract Increased fetal hemoglobin (HbF) can alleviate the symptoms and increase the life span of patients with sickle cell disease. The development of new methods to increase HbF in patients has been hampered by the lack of cell line models. Recently a new murine fetal bone marrow (FBM) cell line containing the human β-globin gene locus in the context of a yeast artificial chromosome (βYAC) whose growth is dependent on the chemical inducer of dimerization (CID) AP20187 (Ariad Pharmaceuticals) was described (Blau et al, J Biol Chem280: 36642, 2005). The DNA methyltransferase (DNMTase) inhibitor 5-azacytidine increased γ-globin gene expression in this cell line suggesting that it is a good model system for studying the mechanism of DNA methylation in γ-globin gene silencing. To investigate the role of methylated DNA binding proteins in γ-globin silencing, we transduced this cell line with retrovirus vectors expressing shRNA targeting the methylated DNA binding proteins MBD2 and MBD3. Transduced pools were selected for puromycin resistance and the effect on expression of the target gene and γ-globin determined by real time PCR using the ΔΔCT method. Single cell clones were isolated by limited dilution platings for further analysis. No difference in γ-globin expression was observed between clones derived from the parental cell line and cells transduced with a nonsilencing control vector. MBD3 expression was decreased 70–85% but γ-globin expression was not affected in the selected pool or in 12 clones following transduction wth a vector targeting MBD3. In 2 selected pools transduced with an shRNA vector targeting MBD2, MBD2 expression was decreased 60 and 82% and γ-globin expression increased 3.7 fold and 4.76 fold. Mean expression of γ-globin was 3.83 fold higher in 14 clones that showed >90% decrease in MBD2 mRNA compared to 11 clonal isolates derived from cells transduced with the non-silencing control vector (p<.05). In three clones that showed the greatest induction of γ-globin, the fold change (mean +SD) of ε-, γ-, and β-globin expression was 3.98±1.75, 11.29±4.27 and 1.90±1.34, respectively, demonstrating that MBD2 knockdown increased both ε- and γ-globin expression. The level of MBD2 protein in these clones and in two additional clones that showed >90% decrease in MBD2 mRNA but no induction of γ-globin expression were compared by Western blot analysis. MBD2 was decreased >90% in all clones compared to the parental line. Decreased MBD2 levels were therefore not associated with increased γ-globin expression in all clones. We then compared shRNA-mediated MBD2 knockdown with the DNMTase inhibitor decitabine for effects on ε- and γ-globin expression. Expression of ε-globin was increased 76.0±6.1 fold, γ-globin 131±10.2 fold, and β-globin 3.6±0.38 fold following treatment with decitabine (1 × 10−6 M; 48 hours; n=3). We conclude that decreased expression of MBD2 following transduction of the CID-dependent mouse FBM βYAC cell line with an shRNA vector targeting MBD2 is associated with increased γ-globin expression, confirming previous results of analysis of βYAC-MBD2 knockout mice (Rupon et al, PNAS103: 6617, 2006). However, the increase in γ-globin expression was approximately 10 fold greater following decitabine treatment than was achieved with shRNA-mediated MBD2 knockdown.


Author(s):  
Yanping Zhang ◽  
Pengcheng Chen ◽  
Ya Gao ◽  
Jianwei Ni ◽  
Xiaosheng Wang

Aim and Objective:: Given the rapidly increasing number of molecular biology data available, computational methods of low complexity are necessary to infer protein structure, function, and evolution. Method:: In the work, we proposed a novel mthod, FermatS, which based on the global position information and local position representation from the curve and normalized moments of inertia, respectively, to extract features information of protein sequences. Furthermore, we use the generated features by FermatS method to analyze the similarity/dissimilarity of nine ND5 proteins and establish the prediction model of DNA-binding proteins based on logistic regression with 5-fold crossvalidation. Results:: In the similarity/dissimilarity analysis of nine ND5 proteins, the results are consistent with evolutionary theory. Moreover, this method can effectively predict the DNA-binding proteins in realistic situations. Conclusion:: The findings demonstrate that the proposed method is effective for comparing, recognizing and predicting protein sequences. The main code and datasets can download from https://github.com/GaoYa1122/FermatS.


2020 ◽  
Vol 15 ◽  
Author(s):  
Yi Zou ◽  
Hongjie Wu ◽  
Xiaoyi Guo ◽  
Li Peng ◽  
Yijie Ding ◽  
...  

Background: Detecting DNA-binding proetins (DBPs) based on biological and chemical methods is time consuming and expensive. Objective: In recent years, the rise of computational biology methods based on Machine Learning (ML) has greatly improved the detection efficiency of DBPs. Method: In this study, Multiple Kernel-based Fuzzy SVM Model with Support Vector Data Description (MK-FSVM-SVDD) is proposed to predict DBPs. Firstly, sex features are extracted from protein sequence. Secondly, multiple kernels are constructed via these sequence feature. Than, multiple kernels are integrated by Centered Kernel Alignment-based Multiple Kernel Learning (CKA-MKL). Next, fuzzy membership scores of training samples are calculated with Support Vector Data Description (SVDD). FSVM is trained and employed to detect new DBPs. Results: Our model is test on several benchmark datasets. Compared with other methods, MK-FSVM-SVDD achieves best Matthew's Correlation Coefficient (MCC) on PDB186 (0.7250) and PDB2272 (0.5476). Conclusion: We can conclude that MK-FSVM-SVDD is more suitable than common SVM, as the classifier for DNA-binding proteins identification.


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