Gwan-Su Yi

Latent and active p53 are identical in conformation.

p53 is a nuclear phosphoprotein that regulates cellular fate after genotoxic stress through its role as a transcriptional regulator of genes involved in cell cycle control and apoptosis. The C-terminal region of p53 is known to negatively regulate sequence specific DNA-binding of p53; modifications to the C-terminus relieve this inhibition. Two models have been proposed to explain this latency: (i) an allosteric model in which the C-terminal domain interacts with another domain of p53 or (ii) a competitive model in which the C-terminal and the core domains compete for DNA binding. We have characterized latent and active forms of dimeric p53 using gel mobility shift assays and NMR spectroscopy. We show on the basis of chemical shifts that dimeric p53 both containing and lacking the C-terminal domain are identical in conformation and that the C-terminus does not interact with other p53 domains. Similarly, NMR spectra of isolated core and tetramerization domains confirm a modular p53 architecture. The data presented here rule out an allosteric model for the regulation of p53.

Single-stranded DNA mimicry in the p53 transactivation domain interaction with replication protein A

One of many protein–protein interactions modulated upon DNA damage is that of the single-stranded DNA-binding protein, replication protein A (RPA), with the p53 tumor suppressor. Here we report the crystal structure of RPA residues 1–120 (RPA70N) bound to the N-terminal transactivation domain of p53 (residues 37–57; p53N) and, by using NMR spectroscopy, characterize two mechanisms by which the RPA/p53 interaction can be modulated. RPA70N forms an oligonucleotide/oligosaccharide-binding fold, similar to that previously observed for the ssDNA-binding domains of RPA. In contrast, the N-terminal p53 transactivation domain is largely disordered in solution, but residues 37–57 fold into two amphipathic helices, H1 and H2, upon binding with RPA70N. The H2 helix of p53 structurally mimics the binding of ssDNA to the oligonucleotide/oligosaccharide-binding fold. NMR experiments confirmed that both ssDNA and an acidic peptide mimicking a phosphorylated form of RPA32N can independently compete the acidic p53N out of the binding site. Taken together, our data suggest a mechanism for DNA damage signaling that can explain a threshold response to DNA damage.

Reuse of imputed data in microarray analysis increases imputation efficiency

BackgroundThe imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set. A few imputation methods for DNA microarray data have been introduced, but the efficiency of the methods was low and the validity of imputed values in these methods had not been fully checked.ResultsWe developed a new cluster-based imputation method called sequential K-nearest neighbor (SKNN) method. This imputes the missing values sequentially from the gene having least missing values, and uses the imputed values for the later imputation. Although it uses the imputed values, the efficiency of this new method is greatly improved in its accuracy and computational complexity over the conventional KNN-based method and other methods based on maximum likelihood estimation. The performance of SKNN was in particular higher than other imputation methods for the data with high missing rates and large number of experiments.Application of Expectation Maximization (EM) to the SKNN method improved the accuracy, but increased computational time proportional to the number of iterations. The Multiple Imputation (MI) method, which is well known but not applied previously to microarray data, showed a similarly high accuracy as the SKNN method, with slightly higher dependency on the types of data sets.ConclusionsSequential reuse of imputed data in KNN-based imputation greatly increases the efficiency of imputation. The SKNN method should be practically useful to save the data of some microarray experiments which have high amounts of missing entries. The SKNN method generates reliable imputed values which can be used for further cluster-based analysis of microarray data.

Elucidation of binding determinants and functional consequences of Ras/Raf-cysteine-rich domain interactions.

Raf-1 is a critical downstream target of Ras and contains two distinct domains that bind Ras. The first Ras-binding site (RBS1) in Raf-1 has been shown to be essential for Ras-mediated translocation of Raf-1 to the plasma membrane, whereas the second site, in the Raf-1 cysteine-rich domain (Raf-CRD), has been implicated in regulating Raf kinase activity. While recognition elements that promote Ras·RBS1 complex formation have been characterized, relatively little is known about Ras/Raf-CRD interactions. In this study, we have characterized interactions important for Ras binding to the Raf-CRD. Reconciling conflicting reports, we found that these interactions are essentially independent of the guanine nucleotide bound state, but instead, are enhanced by post-translational modification of Ras. Specifically, our findings indicate that Ras farnesylation is sufficient for stable association of Ras with the Raf-CRD. Furthermore, we have also identified a Raf-CRD variant that is impaired specifically in its interactions with Ras. NMR data also suggests that residues proximal to this mutation site on the Raf-CRD form contacts with Ras. This Raf-CRD mutant impairs the ability of Ras to activate Raf kinase, thereby providing additional support that Ras interactions with the Raf-CRD are important for Ras-mediated activation of Raf-1.

Solution structure of an antimicrobial peptide buforin II

The structure of 21‐residue antimicrobial peptide buforin II has been determined by using NMR spectroscopy and restrained molecular dynamics. Buforin II adopts a flexible random structure in H2O. In trifluoroethanol (TFE)/H2O (1 : 1, v/v) mixture, however, buforin II assumes a regular α‐helix between residues Val12 and Arg20 and a distorted helical structure between residues Gly7 and Pro11. The model structure obtained shows an amphipathic character in the region from Arg5 to the C‐terminus, Lys21. Like other known cationic antimicrobial peptides, the amphipathic structure might be the key factor for antimicrobial activity of buforin II.

Ethanol-induced oxidative stress is mediated by p38 MAPK pathway in mouse hippocampal cells

It has been known that ethanol causes neuronal cell death through oxidative stress. Ethanol itself and reactive oxygen species (ROS) produced by ethanol modulate intracellular signaling pathways including mitogen-activated protein kinase (MAPK) cascades. This study was conducted to examine the impact of ethanol on MAPK signaling in HT22 cells. Ethanol (100 and 400mM) caused activation of ERK, p38 MAPK, and JNK. ERK activation occurred in early time and p38 MAPK activation was evident when ERK activation was diminished. Specific inhibitor of p38 MAPK (SB203580) protected HT22 cells against ethanol, which was accompanied by an inhibition of ROS accumulation. However, inhibitors of ERK (U0126) and JNK (SP600125) had no effects on ethanol-induced neuronal cell death when they are treated with ethanol for 24h. These results suggest that p38 MAPK may have important roles in ROS accumulation during ethanol-induced oxidative stress in HT22 cells.

p53 transcriptional activation domain: a molecular chameleon?

The recent structure of human replication protein A (RPA) bound to residues 38-58 of tumor suppressor p53 exemplifies several important features of protein-protein interactions involved in transcription and DNA repair. First, the N-terminal transcriptional activation domain (TAD) of p53 is multifunctional and dynamic, showing multiple interactions with partner proteins some of which are modulated by phosphorylation. Second, the binding of partner proteins is coupled with a disorder-to-order transition common to many other transcriptional activation domains. Third, the molecular features of p53 residues 47-58 imitate those of single stranded DNA in their interaction with the oligonucleotide-oliogsaccharide binding (OB) fold of the N-terminal domain of RPA70. This regulated association is implicated in transmitting the DNA damage signal to the p53 pathway of stress response. Here we review the recently reported crystal structure of the p53/RPA70N complex and the mechanism by which ssDNA can provide positive feedback to dissociate p53/RPA complexes. The binding mode and regulatory mechanisms of the p53/RPA70N interaction may represent a general paradigm for regulation of the OB folds involved in DNA repair and metabolism.

E3Miner: a text mining tool for ubiquitin-protein ligases

Ubiquitination is a regulatory process critically involved in the degradation of >80% of cellular proteins, where such proteins are specifically recognized by a key enzyme, or a ubiquitin-protein ligase (E3). Because of this important role of E3s, a rapidly growing body of the published literature in biology and biomedical fields reports novel findings about various E3s and their molecular mechanisms. However, such findings are neither adequately retrieved by general text-mining tools nor systematically made available by such protein databases as UniProt alone. E3Miner is a web-based text mining tool that extracts and organizes comprehensive knowledge about E3s from the abstracts of journal articles and the relevant databases, supporting users to have a good grasp of E3s and their related information easily from the available text. The tool analyzes text sentences to identify protein names for E3s, to narrow down target substrates and other ubiquitin-transferring proteins in E3-specific ubiquitination pathways and to extract molecular features of E3s during ubiquitination. E3Miner also retrieves E3 data about protein functions, other E3-interacting partners and E3-related human diseases from the protein databases, in order to help facilitate further investigation. E3Miner is freely available through http://e3miner.biopathway.org.

IDDI: integrated domain-domain interaction and protein interaction analysis system

BackgroundDeciphering protein-protein interaction (PPI) in domain level enriches valuable information about binding mechanism and functional role of interacting proteins. The 3D structures of complex proteins are reliable source of domain-domain interaction (DDI) but the number of proven structures is very limited. Several resources for the computationally predicted DDI have been generated but they are scattered in various places and their prediction show erratic performances. A well-organized PPI and DDI analysis system integrating these data with fair scoring system is necessary.MethodWe integrated three structure-based DDI datasets and twenty computationally predicted DDI datasets and constructed an interaction analysis system, named IDDI, which enables to browse protein and domain interactions with their relationships. To integrate heterogeneous DDI information, a novel scoring scheme is introduced to determine the reliability of DDI by considering the prediction scores of each DDI and the confidence levels of each prediction method in the datasets, and independencies between predicted datasets. In addition, we connected this DDI information to the comprehensive PPI information and developed a unified interface for the interaction analysis exploring interaction networks at both protein and domain level.ResultIDDI provides 204,705 DDIs among total 7,351 Pfam domains in the current version. The result presents that total number of DDIs is increased eight times more than that of previous studies. Due to the increment of data, 50.4% of PPIs could be correlated with DDIs which is more than twice of previous resources. Newly designed scoring scheme outperformed the previous system in its accuracy too. User interface of IDDI system provides interactive investigation of proteins and domains in interactions with interconnected way. A specific example is presented to show the efficiency of the systems to acquire the comprehensive information of target protein with PPI and DDI relationships. IDDI is freely available at http://pcode.kaist.ac.kr/iddi/.

Human nuclear clusterin mediates apoptosis by interacting with Bcl-XL through C-terminal coiled coil domain.

Clusterin (CLU), a glycoprotein, is involved in apoptosis, producing two alternatively spliced isoforms in various cell types. The pro‐apoptotic CLU appears to be a nuclear isoform (nuclear clusterin; nCLU), and the secretory CLU (sCLU) is thought to be anti‐apoptotic. The detailed molecular mechanism of nCLU as a pro‐apoptotic molecule has not yet been clear. In the current study, overexpressed nCLU induced apoptosis in human kidney cells. Biochemical studies revealed that nCLU sequestered Bcl‐XL via a putative BH3 motif in the C‐terminal coiled coil (CC2) domain, releasing Bax, and promoted apoptosis accompanied by activation of caspase‐3 and cytochrome c release. These results suggest a novel mechanism of apoptosis mediated by nCLU as a pro‐apoptotic molecule. J. Cell. Physiol. 227: 1157–1167, 2012.