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Khatizah E, Nam HJ, Park HS. A Python-based educational software tool for visualizing bioinformatics alignment algorithms. Genomics Inform 2023; 21:e15. [PMID: 37037473 PMCID: PMC10085741 DOI: 10.5808/gi.22055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/14/2023] [Indexed: 04/03/2023] Open
Abstract
Bioinformatics education can be defined as the teaching and learning of how to use software tools, along with mathematical and statistical analysis, to solve biological problems. Although many resources are available, most students still struggle to understand even the simplest sequence alignment algorithms. Applying visualizations to these topics benefits both lecturers and students. Unfortunately, educational software for visualizing step-by-step processes in the user experience of sequence alignment algorithms is rare. In this article, an educational visualization tool for biological sequence alignment is presented, and the source code is released in order to encourage the collaborative power of open-source software, with the expectation of further contributions from the community in the future. Two different modules are integrated to enable a student to investigate the characteristics of alignment algorithms.
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Affiliation(s)
- Elis Khatizah
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hee-Jo Nam
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyun-Seok Park
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
- Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
- Corresponding author E-mail:
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2
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Oh JH, Nam HJ, Park HS. Estimation of the journal distance of Genomics & Informatics from other bioinformatics-driven journals, 2003-2018. Genomics Inform 2022; 19:e51. [PMID: 35012293 PMCID: PMC8752985 DOI: 10.5808/gi.21074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/09/2021] [Indexed: 11/30/2022] Open
Abstract
This study explored the trends of Genomics & Informatics during the period of 2003-2018 in comparison with 11 other scholarly journals: BMC Bioinformatics, Algorithms for Molecular Biology: AMB, BMC Systems Biology, Journal of Computational Biology, Briefings in Bioinformatics, BMC Genomics, Nucleic Acids Research, American Journal of Human Genetics, Oncogenesis, Disease Markers, and Microarrays. In total, 22,423 research articles were reviewed. Content analysis was the main method employed in the current research. The results were interpreted using descriptive analysis, a clustering analysis, word embedding, and deep learning techniques. Trends are discussed for the 12 journals, both individually and collectively. This is an extension of our previous study (PMCID: PMC6808643).
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Affiliation(s)
- Ji-Hye Oh
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hee-Jo Nam
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyun-Seok Park
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea.,Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
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3
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Kim S, Kim R, Nam HJ, Kim RG, Ko E, Kim HS, Shin J, Cho D, Jin Y, Bae S, Jo YW, Jeong SA, Kim Y, Ahn S, Jang B, Seong J, Lee Y, Seo SE, Kim Y, Kim HJ, Kim H, Sung HL, Lho H, Koo J, Chu J, Lim J, Kim Y, Lee K, Lim Y, Kim M, Hwang S, Han S, Bae S, Kim S, Yoo S, Seo Y, Shin Y, Kim Y, Ko YJ, Baek J, Hyun H, Choi H, Oh JH, Kim DY, Park HS. Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0. Genomics Inform 2020; 18:e33. [PMID: 33017877 PMCID: PMC7560450 DOI: 10.5808/gi.2020.18.3.e33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.
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Affiliation(s)
- Sunho Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Royoung Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hee-Jo Nam
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Ryeo-Gyeong Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Enjin Ko
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Han-Su Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Jihye Shin
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Daeun Cho
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yurhee Jin
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Soyeon Bae
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Ye Won Jo
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - San Ah Jeong
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yena Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Seoyeon Ahn
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Bomi Jang
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Jiheyon Seong
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yujin Lee
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Si Eun Seo
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yujin Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Ha-Jeong Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyeji Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hye-Lynn Sung
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyoyoung Lho
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Jaywon Koo
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Jion Chu
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Juwon Lim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Youngju Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Kyungyeon Lee
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yuri Lim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Meongeun Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Seonjeong Hwang
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Shinhye Han
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Sohyeun Bae
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Sua Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Suhyeon Yoo
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yeonjeong Seo
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yerim Shin
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Yonsoo Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - You-Jung Ko
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Jihee Baek
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyejin Hyun
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyemin Choi
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Ji-Hye Oh
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Da-Young Kim
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyun-Seok Park
- Bioinformatics & Natural Language Processing Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea.,Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
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Nam HJ, Yamada R, Park HS. Using the PubAnnotation ecosystem to perform agile text mining on Genomics & Informatics: a tutorial review. Genomics Inform 2020; 18:e13. [PMID: 32634867 PMCID: PMC7362947 DOI: 10.5808/gi.2020.18.2.e13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/01/2020] [Indexed: 11/20/2022] Open
Abstract
The prototype version of the full-text corpus of Genomics & Informatics has recently been archived in a GitHub repository. The full-text publications of volumes 10 through 17 are also directly downloadable from PubMed Central (PMC) as XML files. During the Biomedical Linked Annotation Hackathon 6 (BLAH6), we experimented with converting, annotating, and updating 301 PMC full-text articles of Genomics & Informatics using PubAnnotation, a system that provides a convenient way to add PMC publications based on PMCID. Thus, this review aims to provide a tutorial overview of practicing the iterative task of named entity recognition with the PubAnnotation/PubDictionaries/TextAE ecosystem. We also describe developing a conversion tool between the Genia tagger output and the JSON format of PubAnnotation during the hackathon.
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Affiliation(s)
- Hee-Jo Nam
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | | | - Hyun-Seok Park
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea.,Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
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5
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Kim JH, Nam HJ, Park HS. Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters. Genomics Inform 2019; 17:e25. [PMID: 31610621 PMCID: PMC6808643 DOI: 10.5808/gi.2019.17.3.e25] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 09/19/2019] [Indexed: 11/29/2022] Open
Abstract
Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Herein, we conduct a statistical analysis of the publications of Genomics & Informatics over the 16 years since its inception, with a particular focus on issues relating to article categories, word clouds, and the most-studied genes, drawing on recent reviews of the use of word frequencies in journal articles. Trends in the studies published in Genomics & Informatics are discussed both individually and collectively.
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Affiliation(s)
- Ji-Hyeon Kim
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hee-Jo Nam
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyun-Seok Park
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea.,Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
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6
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Oh SY, Kim JH, Kim SJ, Nam HJ, Park HS. GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction. Genomics Inform 2018; 16:75-77. [PMID: 30309207 PMCID: PMC6187819 DOI: 10.5808/gi.2018.16.3.75] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 08/23/2018] [Indexed: 11/21/2022] Open
Abstract
Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.
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Affiliation(s)
- So-Yeon Oh
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Ji-Hyeon Kim
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Seo-Jin Kim
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hee-Jo Nam
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea
| | - Hyun-Seok Park
- Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea.,Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea
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7
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Kim YS, Nam HJ, Chung HY, Kim ND, Ryu JH, Lee WJ, Arking R, Yoo MA. Role of xanthine dehydrogenase and aging on the innate immune response of Drosophila. J Am Aging Assoc 2013; 24:187-93. [PMID: 23604884 DOI: 10.1007/s11357-001-0020-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
It has been proposed that uric acid is an important scavenger of deleterious oxygen species and peroxynitrite in biological systems. The cellular sources responsible for the generation of damage-causing reactive oxygen species (ROS) are widespread. Xanthine dehydrogenase (XDH) / oxidase (XOD) catalyzes the oxidation of xanthine to uric acid. The rosy (ry) gene encodes XDH/XOD in Drosophila melanogaster. XDH codes for uric acid which is a ROS scavenger. XOD however is an enzyme system implicated in ROS production. In this study, we investigated the roles of XDH in the fly's immune defense response to infection and in the aging process. We first compared ROS generation and nitric oxide (NO) level in the whole body and the gut of XDH mutant with those of wild type. Our results suggested that XDH has a protective effect with respect to both ROS and NO generations, particularly in the gut. We also examined the effect of a XDH deletion mutant on the relative sensitivity of the organism against bacterial infection, on the immune inducibility of antimicrobial peptides and on the effect of aging in the defensive response to infection. Our results strongly suggest that XDH plays an important role in the innate immune response and that the age-associated deterioration of the innate immune response might be, at least in part, associated with the loss of XDH activity in the aging process.
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Affiliation(s)
- Y S Kim
- Department of Molecular Biology, Pusan National University, Gumjung-ku, Pusan, 609-735 ; Institute of Genetic Engineering, Pusan National University, Gumjung-ku, Pusan, 609-735
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Kim IS, Kim ER, Nam HJ, Chin MO, Moon YH, Oh MR, Yeo UC, Song SM, Kim JS, Uhm MR, Beck NS, Jin DK. Activating mutation of GS alpha in McCune-Albright syndrome causes skin pigmentation by tyrosinase gene activation on affected melanocytes. Horm Res 2000; 52:235-40. [PMID: 10844413 DOI: 10.1159/000023467] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
McCune-Albright syndrome (MAS) is a sporadic disease characterized by café-au-lait spots, polyostotic fibrous dysplasia and hyperfunctional endocrinopathies. To elucidate the mechanism of skin pigmentation, melanocytes, keratinocytes and fibroblasts were primary cultured from the café-au-lait spot of a MAS patient. Then, mutational analysis and morphologic evaluation were performed. Also, cAMP level and tyrosinase gene expression in cultured cells were determined. Only Gsalpha mutation was found in affected melanocytes and the cAMP level in affected melanocytes was higher than that of normal melanocytes. The mRNA expression of tyrosinase gene was increased in the affected melanocytes. This study suggests that skin pigmentation of MAS results from activating mutation of Gsalpha in melanocytes and the mechanism involves the c-AMP-mediated tyrosinase gene activation.
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Affiliation(s)
- I S Kim
- Department of Pediatrics, SungAe General Hospital, SungAe Life Science Research Institute, Seoul, Korea
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Kim IS, Kim DH, Han SM, Chin MU, Nam HJ, Cho HP, Choi SY, Song BJ, Kim ER, Bae YS, Moon YH. Truncated form of importin alpha identified in breast cancer cell inhibits nuclear import of p53. J Biol Chem 2000; 275:23139-45. [PMID: 10930427 DOI: 10.1074/jbc.m909256199] [Citation(s) in RCA: 95] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Disruption of the function of tumor suppressor proteins occasionally can be dependent on their subcellular localization. In about 40% of the breast cancer tissues, p53 is found in the cytoplasm as opposed to the nucleus, where it resides in normal breast cells. This means that the regulation of subcellular location of p53 is an important mechanism in controlling its function. The transport factors required for the nuclear export of p53 and the mechanisms of their nuclear export have been extensively characterized. However, little is known about the mechanism of nuclear import of p53. p53 contains putative nuclear localization signals (NLSs) which would interact with a nuclear transport factor, importin alpha. In this report we demonstrate that importin alpha binds to NLSI in p53 and mediates the nuclear import of p53. Reverse transcriptase-polymerase chain reaction and sequencing analyses showed that a truncated importin alpha deleted the region encoding the putative NLS-binding domain of p53, suggesting that it could not bind to NLSs of p53 proteins. Binding of importin alpha to p53 was confirmed by using yeast two-hybrid assay. When expressed in CHO-K1 cells, the truncated importin alpha predominantly localized to the cytoplasm. In truncated importin alpha expressing cells, p53 preferentially localized to cytoplasmic sites as well. A significant increase in the p21(waf1/cip1) mRNA level and induction of apoptosis were also observed in importin alpha overexpressing cells. These results strongly suggest that importin alpha functions as a component of the NLS receptor for p53 and mediates nuclear import of p53.
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Affiliation(s)
- I S Kim
- Sung Ae Life Science Research Institute, Kyeonggi 423-030, South Korea
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Kim HJ, Na HS, Sung B, Nam HJ, Chung YJ, Hong SK. Is sympathetic sprouting in the dorsal root ganglia responsible for the production of neuropathic pain in a rat model? Neurosci Lett 1999; 269:103-6. [PMID: 10430515 DOI: 10.1016/s0304-3940(99)00435-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Partial peripheral nerve injury often results in neuropathic pain that is aggravated by sympathetic excitation and induces sympathetic nerve sprouting in both the injured nerve and corresponding dorsal root ganglia (DRGs). Presently, the functional mechanisms of the interactions between the sprouting and injured somatic afferents remain uncertain. This study was performed to see whether the sprouting in the DRGs plays a key role in the development of neuropathic pain. To this aim, we compared two groups of rats, both of which were subjected to unilateral transection of the superior and inferior caudal trunks at the level between the S1 and S2 spinal nerves, with respect to sympathetic fiber sprouting; one group showed well-developed neuropathic pain behaviors (i.e. mechanical, cold and warm allodynia signs) and the other group showed poorly-developed ones. Immuno-histochemical staining with tyrosine hydroxylase (TH) antibody of the injured S1 DRG taken from both groups of rats after behavioral tests revealed that the magnitude of penetration of TH-positive fibers into the S1 DRG was not significantly different between the two groups. These results suggest that sympathetic nerve sprouting in the injured DRG is not a key factor in the development of neuropathic pain.
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Affiliation(s)
- H J Kim
- Neuroscience Research Institute, Korea University College of Medicine, Seoul, South Korea
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11
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Abstract
Most receptor-like protein tyrosine phosphatases (RPTPs) contain two conserved phosphatase domains (D1 and D2) in their intracellular region. The carboxy-terminal D2 domain has little or no catalytic activity. The crystal structure of the tandem D1 and D2 domains of the human RPTP LAR revealed that the tertiary structures of the LAR D1 and D2 domains are very similar to each other, with the exception of conformational differences at two amino acid positions in the D2 domain. Site-directed mutational changes at these positions (Leu-1644-to-Tyr and Glu-1779-to-Asp) conferred a robust PTPase activity to the D2 domain. The catalytic sites of both domains are accessible, in contrast to the dimeric blocked orientation model previously suggested. The relative orientation of the LAR D1 and D2 domains, constrained by a short linker, is stabilized by extensive interdomain interactions, suggesting that this orientation might be favored in solution.
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Affiliation(s)
- H J Nam
- Dana-Farber Cancer Institute and Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
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12
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Kim YI, Na HS, Kim SH, Han HC, Yoon YW, Sung B, Nam HJ, Shin SL, Hong SK. Cell type-specific changes of the membrane properties of peripherally-axotomized dorsal root ganglion neurons in a rat model of neuropathic pain. Neuroscience 1998; 86:301-9. [PMID: 9692763 DOI: 10.1016/s0306-4522(98)00022-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Recent evidence indicates that neuropathic pain from partial peripheral nerve injury is maintained by electrophysiologically abnormal signals from injured sensory neurons. To gain an insight into the mechanisms underlying this electrophysiological abnormality, we examined the effects of S1 spinal nerve transection on the membrane properties of S1 dorsal root ganglion neurons one to two weeks after injury. This injury produced significant action potential broadening [40% (1 ms) in C-, 149% (1.5 ms) in A delta- and 84% (0.5 ms) in A alpha/beta-cells], which was primarily due to the enhancement of the "shoulder" appearing on the falling phase of the action potential in C- and A delta-cells and the emergence of a shoulder in A alpha/beta-cells, and significant cell-type specific changes in the time-course of the rising phase of the action potential; i.e. an increase in rise time (A delta: 35%, 0.15 ms; A alpha/beta: 13%, 0.04 ms) and a decrease in the maximal rate of rise (A delta: 17%, 77 V/s; A alpha/beta: 13%, 79 V/s). In addition, the nerve injury led to a significant reduction of the rheobase, an index of neuronal excitability, in all types of cells (by 41% in C-, 71% in A delta- and 59% in A alpha/beta-cells). The reduction of rheobase in A-cells was associated with a concomitant increase in apparent input resistance (by 269% in A delta- and 192% in A alpha/beta-cells), which was measured near the resting membrane potential. By contrast, the rheobase reduction in C-cells was associated with a concurrent depolarizing shift (approximately 4 mV) of the resting membrane potential. The nerve injury-induced reduction of rheobase was not accompanied by related change in input resistance or threshold potential in any of the cell populations. The present results indicate that chronic peripheral axotomy of dorsal root ganglion neurons, which gives rise to neuropathic pain, produces profound changes in the action potential waveform of dorsal root ganglion neurons in a cell type-specific fashion. Furthermore, the results suggest that the axotomy increases the excitability of dorsal root ganglion neurons not by altering input resistance (i.e. leak conductance) or threshold potential, but by increasing apparent input resistance near the resting membrane potential in A-cells and decreasing the resting membrane potential in C-cells.
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Affiliation(s)
- Y I Kim
- Department of Physiology and Neuroscience Research Institute, Korea University College of Medicine, Seoul, South Korea
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13
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Abstract
BACKGROUND The Abl nonreceptor tyrosine kinase is implicated in a range of cellular processes and its transforming variants are involved in human leukemias. The N-terminal regulatory region of the Abl protein contains Src homology domains SH2 and SH3 which have been shown to be important for the regulation of its activity in vivo. These domains are often found together in the same protein and biochemical data suggest that the functions of one domain can be influenced by the other. RESULTS We have determined the crystal structure of the Abl regulatory region containing the SH3 and SH2 domains. In general, the individual domains are very similar to those of previously solved structures, although the Abl SH2 domain contains a loop which is extended so that one side of the resulting phosphotyrosine-binding pocket is open. In our structure the protein exists as a monomer with no intermolecular contacts to which a biological function may be attributed. However, there is a significant intramolecular contact between a loop of the SH3 domain and the extended loop of the SH2 domain. This contact surface includes the SH2 loop segment that is responsible for binding the phosphate moiety of phosphotyrosine-containing proteins and is therefore critical for orienting peptide interactions. CONCLUSIONS The crystal structure of the composite Abl SH3-SH2 domain provides the first indication of how SH2 and SH3 domains communicate with each other within the same molecule and why the presence of one directly influences the activity of the other. This is the first clear evidence that these two domains are in contact with each other. The results suggest that this direct interaction between the two domains may affect the ligand binding properties of the SH2 domain, thus providing an explanation for biochemical and functional data concerning the Bcr-Abl kinase.
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Affiliation(s)
- H J Nam
- Department of X-ray Crystallography, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
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Kim HJ, Na HS, Nam HJ, Park KA, Hong SK, Kang BS. Sprouting of sympathetic nerve fibers into the dorsal root ganglion following peripheral nerve injury depends on the injury site. Neurosci Lett 1996; 212:191-4. [PMID: 8843105 DOI: 10.1016/0304-3940(96)12811-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Peripheral nerve injury often induces sympathetic nerve fiber sprouting in the dorsal root ganglion (DRG) and injured nerve. Presently, the underlying mechanism and functional significance of the sprouting are unknown. This study was performed to see whether the degree of the sprouting in the DRG was a function of the distance between the DRG and injury site. To this aim, we compared two groups of rats with respect to the sympathetic nerve fibers sprouting in the S1-3 DRG; one group was subjected to unilateral inferior and superior caudal trunk transections at the level between the S3 and S4 spinal nerves (S34 group) and the other group at the levels between the S1 and S2, between S2 and S3 and between S3 and S4 spinal nerves (S123 group). The transections in both groups equally eliminated the inputs from the tail to the S1-3 DRG, but the distance from the S1/S2 DRG to the injury site was different between the two groups. Immunohistochemical staining with tyrosine hydroxylase (TH) antibody of the S1-3 DRG removed from rats a week after the injury revealed that the degree of penetration of TH-positive fibers into the S1 and S2 DRG was much more extensive in the S123 group than in the S34 group, whereas that into the S3 DRG was not significantly different between the two groups. These results suggest that the extent of the sympathetic nerve fiber sprouting in the DRG following peripheral nerve injury is inversely related to the distance between the DRG and injury site.
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Affiliation(s)
- H J Kim
- Department of Physiology, Yonsei University College of Medicine, Seoul, South Korea
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