• Genomics & Informatics
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• 제7권3호
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• pp.141-147
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• 2009

Developed proteome-scale ortholog and paralog prediction methods are mainly based on sequence similarity. However, it is known that even the closest BLAST hit often does not mean the closest neighbor. For this reason, we added conserved interaction information to find orthologs. We propose a genome-scale, automated ortholog prediction method, named OrthoInterBlast. The method is based on both sequence and interaction similarity. When we applied this method to fly and yeast, 17% of the ortholog candidates were different compared with the results of Inparanoid. By adding protein-protein interaction information, proteins that have low sequence similarity still can be selected as orthologs, which can not be easily detected by sequence homology alone.

• Genomics & Informatics
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• 제1권1호
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• pp.1-6
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• 2003

In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

• Genomics & Informatics
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• 제16권4호
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• pp.17.1-17.6
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• 2018

Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.

• Genomics & Informatics
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• 제7권4호
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• pp.203-207
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• 2009

The target of rapamycin (TOR) signaling pathway conserved from yeast to human plays critical roles in regulation of eukaryotic cell growth. It has been shown that TOR pathway is involved in several cellular processes, including ribosome biogenesis, nutrient response, autophagy and aging. However, due to the functional diversity of TOR pathway, we do not know yet some key effectors of the pathway. To find unknown effectors of TOR signaling pathway, we took advantage of a green fluorescent protein (GFP)-tagged collection of budding yeast Saccharomyces cerevisiae. We analyzed protein abundance changes by measuring the GFP fluorescence intensity of 4156 GFP-tagged yeast strains under inhibition of TOR pathway. Our proteomic analysis argues that 83 proteins are decreased whereas 32 proteins are increased by treatment of rapamycin, a specific inhibitor of TOR complex 1 (TORC1). We found that, among the 115 proteins that show significant changes in protein abundance under rapamycin treatment, 37 proteins also show expression changes in the mRNA levels by more than 2-fold under the same condition. We suggest that the 115 proteins indentified in this study may be directly or indirectly involved in TOR signaling and can serve as candidates for further investigation of the effectors of TOR pathway.

• Genomics & Informatics
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• 제17권1호
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• pp.7.1-7.10
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• 2019

Cysticercosis, a parasitic disease caused by Taenia solium metacestode (TsM), has a major global public health impact in terms of disability-adjusted life years. The parasite preferentially infects subcutaneous tissue, but may invade the central nervous system, resulting in neurocysticercosis (NC). NC is an important neglected tropical disease and an emerging disease in industrialized countries due to immigration from endemic areas. The prevalence of taeniasis in Korea declined from 0.3%-12.7% during the 1970s to below 0.02% since the 2000s. A survey conducted from 1993 to 2006 revealed that the percentage of tested samples with high levels of specific anti-TsM antibody declined from 8.3% to 2.2%, suggesting the continuing occurrence of NC in Korea. Modern imaging modalities have substantially improved the diagnostic accuracy of NC, and recent advances in the molecular biochemical characterization of the TsM cyst fluid proteome also significantly strengthened NC serodiagnosis. Two glycoproteins of 150 and 120 kDa that induce strong antibody responses against sera from patients with active-stage NC have been elucidated. The 150 kDa protein showed hydrophobic-ligand binding activities and might be critically involved in the acquisition of host-derived lipid molecules. Fasciclin and endophilin B1, both of which play roles in the homeostatic functions of TsM, showed fairly high antibody responses against calcified NC cases. NC is now controllable and manageable. Further studies should focus on controlling late-onset intractable seizures and serological diagnosis of NC patients infected with few worms. This article briefly overviews diagnostic approaches and discusses current issues relating to NC serodiagnosis.

• 환경생물
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• 제21권2호
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• pp.87-100
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• 2003

환경오염이 심각해짐에 따라 국내외적으로 환경에 대한 관심이 고조되고 인체에 해를 끼치는 환경요인으로부터 방어하기 위한 많은 노력들이 기울여지고 있다. 특히 내분비계장애물질이 생식기능과 면역기능을 약화시키고, 행동 이상을 일으키며, 암 발생률을 높인다는 점이 밝혀지기 시작하면서 많은 연구들이 발표되고 여러 가지 방법들이 내분비계장애물질과 더불어 환경분야연구에 응용되어왔지만 단백질을 대상으로 연구하여 유전자기능을 연구하는 프로테오믹스(proteomics) 연구를 접목시키려는 시도가 아직까지는 빈약하다. 프로테오믹스는 기능을 갖는 단백질들의 발현을 종합적이고 정량적으로 측정하는 가장 직접적인 수단이고, 질병, 약물투여, shock 등 생물학적인 동요(perturbation)에 의하여 변하는 단백질들의 발현양상의 변화를 정확하게 관찰할 수 있으며, 생체내 유전자발현의 궁극적인 양상을 규명할 수 있고, 또한 유전자, 단백질 및 질병간의 연결고리를 제공한다. 기존의 biomarker는 다른 질병 표지자와 연관성이 높아 직접적인 유해물질 노출 위험도를 정확히 판정하기 어렵다. 따라서 대량발굴탐색(high-throughput screen-ing)이 가능한 2차원 전기영동 분석과 MALDI-TOF 또는 protein chip array와 SELDI-TOF에 의한 단백질 분자구조 분석기술 및 이들을 지원하는 생물정보학(bio-informatics)의 발전을 이용하여 환경독성 연구에 이용 할 수 있는 표적단백질(biomarker)발굴에 적절한 이용이 가능할 것이다.

• Genomics & Informatics
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• 제14권4호
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• pp.241-254
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• 2016

Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.

• Genomics & Informatics
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• 제14권4호
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• pp.255-264
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• 2016

The plethora of genome sequence information of bacteria in recent times has ushered in many novel strategies for antibacterial drug discovery and facilitated medical science to take up the challenge of the increasing resistance of pathogenic bacteria to current antibiotics. In this study, we adopted subtractive genomics approach to analyze the whole genome sequence of the Fusobacterium nucleatum, a human oral pathogen having association with colorectal cancer. Our study divulged 1,499 proteins of F. nucleatum, which have no homolog's in human genome. These proteins were subjected to screening further by using the Database of Essential Genes (DEG) that resulted in the identification of 32 vitally important proteins for the bacterium. Subsequent analysis of the identified pivotal proteins, using the Kyoto Encyclopedia of Genes and Genomes (KEGG) Automated Annotation Server (KAAS) resulted in sorting 3 key enzymes of F. nucleatum that may be good candidates as potential drug targets, since they are unique for the bacterium and absent in humans. In addition, we have demonstrated the three dimensional structure of these three proteins. Finally, determination of ligand binding sites of the 2 key proteins as well as screening for functional inhibitors that best fitted with the ligands sites were conducted to discover effective novel therapeutic compounds against F. nucleatum.

• Genomics & Informatics
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• 제3권2호
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• pp.61-65
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• 2005

Comparing 231 genes on chimpanzee chromosome 22 with their orthologous on human chromosome 21, we have found that 15 orthologs have indels within their coding sequences. It was rather surprising that significant number of genes have changed by indel, despite the shorter time since their divergence and led us hypothesize that indels and structural changes may represent one of the major mechanism of proteome evolution in the higher primates. Human T-complex protein 10 like (TCP 10L) is a representative having indel within its coding sequence. Gene structure of human TCP10L compared with chimpanzee TCP10L gene showed 16 base pair difference in genomic DNA. As a result of the indel, frame shift mutation occurs in coding sequence (CDS) and human TCP10L express longer polypeptide of 21 amino acid residues than that of chimpanzee. Our prediction found that the indel may affect to dramatic change of secondary protein structure between human and chimpanzee TCP10L. Especially, the structural changes in the C-terminal region of TCP10L protein may affect on the interacting potential to other proteins rather than DNA binding function of the protein. Through these changes, TCP10L might influence gene expression profiles in liver and testis and subsequently influence the physiological changes required in primate evolution.

• 정보처리학회논문지D
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• 제15D권5호
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• pp.681-690
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• 2008

단백질체학에서 특정 조건 하에서 단백질의 기능 이상 및 구조 변형 유무를 규명하고 질병 과정을 추적하는 것은 중요한 연구이다. 일반적으로 단백질의 발현량 변화 분석에는 통계적 방법이 많이 사용되고 있으며 단백질 상용 이미지 분석 소프트웨어에서 제공하는 그래픽을 이용한 방법들도 있으나, 이 방법들은 많은 조직 내에 존재하는 수많은 단백질을 수동으로 비교해야 하는 어려움이 있다. 본 논문에서는 데이터베이스와 데이터마이닝 기법을 이용하여 OLAP 데이터 큐브와 Discovery-driven 탐색의 응용 방법을 제안한다. 데이터 큐브의 특성을 이용함에 의해서, 질병에 의해 발현량이 변하는 단백질 뿐 아니라 임상적 특성과 단백질의 영향 관계를 분석하는 것이 가능하다. 데이터 큐브에서 단백질의 발현량 변화 분석에 적합한 데이터 큐브의 척도와Discovery-driven 탐색을 위한 예외 지표를 제안하고, 특히 In-exception을 계산하는데 있어서의 계산량 감소 방안을 제시한다. 실험을 통해 폐암 2-DE 데이터에서 데이터 큐브와 Discovery-driven 방법이 유용함을 보인다.