• Molecules and Cells
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• v.38 no.6
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• pp.548-561
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• 2015

By combining conventional single cell analysis with flow cytometry and public database searches with bioinformatics tools, we extended the expression profiling of thymic stromal cotransporter (TSCOT), Slc46A2/Ly110, that was shown to be expressed in bipotent precursor and cortical thymic epithelial cells. Genome scale analysis verified TSCOT expression in thymic tissue- and cell type- specific fashion and is also expressed in some other epithelial tissues including skin and lung. Coexpression profiling with genes, Foxn1 and Hoxa3, revealed the role of TSCOT during the organogenesis. TSCOT expression was detected in all thymic epithelial cells (TECs), but not in the $CD31^+$endothelial cell lineage in fetal thymus. In addition, ABC transporter-dependent side population and Sca-$1^+$ fetal TEC populations both contain TSCOT-expressing cells, indicating TEC stem cells express TSCOT. TSCOT expression was identified as early as in differentiating embryonic stem cells. TSCOT expression is not under the control of Foxn1 since TSCOT is present in the thymic rudiment of nude mice. By searching variations in the expression levels, TSCOT is positively associated with Grhl3 and Irf6. Cytokines such as IL1b, IL22 and IL24 are the potential regulators of the TSCOT expression. Surprisingly, we found TSCOT expression in the lung is diminished in lung cancers, suggesting TSCOT may be involved in the suppression of lung tumor development. Based on these results, a model for TEC differentiation from the stem cells was proposed in context of multiple epithelial organ formation.

• Journal of Microbiology and Biotechnology
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• v.28 no.7
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• pp.1185-1198
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• 2018

The nucleosomal organization of chromatin using histone proteins is a fundamental and ubiquitous feature of eukaryotic nuclei, with the major exception of dinoflagellates. Although a number of recent genomic and transcriptomic analyses have detected numerous histone genes in dinoflagellates, little is known about their expression. Here in, we aimed to investigate the expression pattern of histone genes under nutritional stress, and an attempt was made to detect histone expression at the protein level in Alexandrium pacificum. The presence of histones at the mRNA level was confirmed in this study by the amplification, cloning, and sequencing of 10 different genes. Relative expression profiling of these genes under different growth conditions was determined with real-time PCR and revealed considerable levels of histone transcription in nutritionally stressed cells. We were unable to detect the expression of histones at the protein level even after immunodetection and analysis using mass spectrometry, although a histone-like protein was detected as a major nuclear component. A. pacificum expresses multiple variants of histone, and protein sequences revealed both conservation and divergence with respect to other eukaryotes. We concluded that A. pacificum maintained an active transcription of histone genes within the cell, and enhanced expression of histone genes in nutritional stress strongly suggest that histones have functional significance in dinoflagellates, although expression at the protein level was below our current detection limits, which suggests a limited role of histones in DNA packaging. Finally, the plausible regulation of histone expression at the gene and protein levels in A. pacificum is discussed.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• BMB Reports
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• v.48 no.7
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• pp.388-394
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• 2015

The brain is an organ that consists of various cell types. As our knowledge of the structure and function of the brain progresses, cell type-specific research is gaining importance. Together with advances in sequencing technology and bioinformatics, cell type-specific transcriptome studies are providing important insights into brain cell function. In this review, we discuss 3 different cell type-specific transcriptome analyses i.e., Laser Capture Microdissection (LCM), Translating Ribosome Affinity Purification (TRAP)/RiboTag, and single cell RNA-Seq, that are widely used in the field of neuroscience. [BMB Reports 2015; 48(7): 388-394]

• The Korea Genome Conference
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• 2006.09a
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• pp.45-45
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• 2006

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.1208-1209
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• 2004

• Proceedings of the Zoological Society Korea Conference
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• 2001.10a
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• pp.196.2-197
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• 2001

No Abstract, See Full Text

• Proceedings of the Korean Society for Applied Microbiology Conference
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• 2001.06a
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• pp.125-128
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• 2001

• The Korea Genome Conference
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• 2003.09a
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• pp.38.1-38.1
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• 2003

• Genomics & Informatics
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• v.17 no.1
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• pp.8.1-8.10
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• 2019

Alveolar type II cells constitute a small fraction of the total lung cell mass. However, they play an important role in many cellular processes including trans-differentiation into type I cells as well as repair of lung injury in response to toxic chemicals and respiratory pathogens. Transcription factors are the regulatory proteins dynamically modulating DNA structure and gene expression. Transcription factor profiling in microarray datasets revealed that several members of AP1, ATF, $NF-{\kappa}B$, and C/EBP families involved in diverse responses were expressed in mouse lung type II cells. A transcriptional factor signature consisting of Cebpa, Srebf1, Stat3, Klf5, and Elf3 was identified in lung type II cells, Sox9+ pluripotent lung stem cells as well as in mouse lung development. Identification of the transcription factor profile in mouse lung type II cells will serve as a useful resource and facilitate the integrated analysis of signal transduction pathways and specific gene targets in a variety of physiological conditions.