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»ý¸íÁ¤º¸ÇÐÀ» ÀÌ¿ëÇÑ Àü»çÀÎÀÚÀÇ ÇÏÀ§Ç¥ÀûÀ¯ÀüÀÚ ºÐ¼®¿¡ °üÇÑ ¿¬±¸ In silico Analysis of Downstream Target Genes of Transcription Factors

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Ȳ»óÁØ, Àü»ó¿µ, ÀÌ°æ¾Æ,
¼Ò¼Ó »ó¼¼Á¤º¸
Ȳ»óÁØ ( Hwang Sang-Joon ) 
Æ÷õÁß¹®ÀÇ°ú´ëÇб³ »ý¸í°úÇÐÀü¹®´ëÇпø

Àü»ó¿µ ( Chun Sang-Young ) 
Àü³²´ëÇб³ È£¸£¸ó¿¬±¸¼¾ÅÍ
ÀÌ°æ¾Æ ( Lee Kyung-Ah ) 
Æ÷õÁß¹®ÀÇ°ú´ëÇб³ »ý¸í°úÇÐÀü¹®´ëÇпø

Abstract

¸ñ Àû: º» ¿¬±¸ÁøÀº Ãʱ⠳­Æ÷ ¹ß´Þ °úÁ¤ÀÇ °¢ ¹ß´Þ ´Ü°èº° ³­Æ÷¸¦ ºÐ¸®ÇÏ¿© cDNA microarray¸¦ ÀÌ¿ëÇÑ À¯ÀüÀÚ ¹ßÇö ¸ñ·ÏÀ» º¸À¯ÇÏ°í ÀÖ´Ù.1 º» ¿¬±¸´Â À̵é À¯ÀüÀÚ Áß¿¡¼­ Àü»çÀÎ ÀÚµéÀÇ ¸ñ·Ï¿¡ ÁÖ¸ñÇÏ¿© À̵éÀÇ ÇÏÀ§Ç¥ÀûÀ¯ÀüÀÚ¸¦ »ý¸íÁ¤º¸ÇÐÀû ±â¹ýÀ» ÀÌ¿ëÇØ µ¿Á¤ÇÔÀ¸·Î½á ÀÌ ÈÄ Ãʱ⠳­Æ÷ ¹ß´ÞÀÇ Á¶Àý ±âÀü ¿¬±¸¸¦ À§ÇÑ Áß¿äÇÑ Àü»çÀÎÀÚ¸¦ °áÁ¤ÇÏ°íÀÚ ½Ç½ÃÇÏ¿´´Ù.

¿¬±¸¹æ¹ý: 26°³ÀÇ Àü»çÀÎÀڵ鿡 ´ëÇؼ­ Gene Ontology, MGI, ±×¸®°í Entrez Gene µîÀÇ À¯ÀüÀÚ µ¥ÀÌÅÍ º£À̽º °Ë»öÀ» ÅëÇØ Àü»çÀÎÀÚµéÀ» ±¸¼ºÇÏ´Â µµ¸ÞÀÎÀ» È®ÀÎÇÏ¿´°í, Àü»çÀÎÀÚ µ¥ÀÌÅÍ º£À̽º (TRANSFAC¢ç 6.0)¿Í ÁøÇÙ¼¼Æ÷ ÇÁ·Î¸ðÅÍ µ¥ÀÌÅÍ º£À̽º °Ë»öÀ» ½Ç½ÃÇÏ¿©, Àü»çÀÎÀÚÀÇ cis-acting ¹× trans-acting ÇÏÀ§Ç¥ÀûÀ¯ÀüÀÚ¸¦ ºÐ¼®ÇÏ¿´´Ù.

°á °ú: 26°³ Àü»çÀÎÀڵ鿡 ´ëÇؼ­ DNA °áÇÕ µµ¸ÞÀΰú ´Ü¹éÁú »óÈ£ ÀÛ¿ë µµ¸ÞÀÎÀ» È®ÀÎÇÏ¿´´Ù. ¶Ç Àü»çÀÎÀÚ µ¥ÀÌÅÍ º£À̽º¿Í ÇÁ·Î¸ðÅÍ µ¥ÀÌÅÍ º£À̽º °Ë»öÀ¸·ÎºÎÅÍ ÇÏÀ§Ç¥ÀûÀ¯ÀüÀÚ¿¡ ´ëÇÑ Á¤º¸¸¦ ¾ò¾ú´Ù. À§¿Í °°Àº »ý¸íÁ¤º¸ÇÐÀû ºÐ¼® °á°ú·ÎºÎÅÍ Èï¹Ì·Î¿î ÇÏÀ§Ç¥ÀûÀ¯ÀüÀÚ¸¦ °®´Â 3°³ÀÇ Àü»çÀÎÀÚ·Î ¸ñÇ¥¸¦ ¾ÐÃàÇÒ ¼ö ÀÖ¾ú´Ù. ±× Áß¿¡¼­ HNF4´Â MPF ¾ïÁ¦ Á¶ÀýÀÚ·Î ¾Ë·ÁÁ® ÀÖ´Â Wee1 ´Ü¹éÁú ÀλêÈ­ È¿¼ÒÀÇ À¯»ç À¯ÀüÀÚ ÇÁ·Î¸ðÅÍ ºÎÀ§¿¡ °áÇÕÇÏ´Â Àü»çÀÎÀÚ¸ç, TBX2´Â cdk ¾ïÁ¦ÀÚ À¯ÀüÀÚÀÇ ¹ßÇöÀ» ¾ïÁ¦ÇÏ´Â Àü»çÀÎÀÚ·Î ¾Ë·ÁÁ® ÀÖ¾î, Ãʱ⠳­Æ÷ ¹ß´Þ °úÁ¤ÀÇ MPF ±â´É Á¶Àý¿¡ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÒ °ÍÀ¸·Î »ç·áµÈ´Ù.

°á ·Ð: º» ¿¬±¸´Â »ý¸íÁ¤º¸ÇÐÀû ºÐ¼®À» ÅëÇÏ¿© Àü»çÀÎÀÚÀÇ ÇÏÀ§Ç¥ÀûÀÎÀÚ¸¦ ¾Ë¾Æ³»°í, À̸¦ ÀÌ¿ëÇÏ¿© 26°³ Àü»çÀÎÀÚ Áß¿¡¼­ ´ÙÀ½ ¿¬±¸¸¦ À§ÇÑ ¸ñÇ¥¸¦ °áÁ¤ÇÏ´Â Á¢±Ù ¹æ¹ýÀ» Á¦½ÃÇߴٴµ¥ Àǹ̰¡ ÀÖ´Ù°í »ç·áµÈ´Ù. ½ÇÁ¦·Î ÀÌ·¸°Ô °áÁ¤µÈ Àü»çÀÎÀÚµéÀÌ Ãʱ⠳­Æ÷ ¹ß´ÞÀ» Á¶ÀýÇÏ´Â ºÐÀÚ »ý¹°ÇÐÀû ±âÀü¿¡ ¾î¶»°Ô °ü¿©ÇÏ´ÂÁö¸¦ ¿¬±¸Çϱâ À§Çؼ­´Â EMSA µî°ú °°Àº ½ÇÇèÀû Áõ¸íÀ» ÅëÇÑ È®Àΰú º¸Ãæ ¿¬±¸°¡ ÇÊ¿äÇÒ °ÍÀ¸·Î »ç·áµÈ´Ù.

Objective: In the previous study, we compiled the differentially expressed genes during early folliculogenesis.1 Objective of the present study was to identify downstream target genes of transcription factors (TFs) using bioinformatics for selecting the target TFs among the gene lists for further functional analysis.

Materials & Methods: By using bioinformatics tools, constituent domains were identified from database searches using Gene Ontology, MGI, and Entrez Gene. Downstream target proteins/genes of each TF were identified from database searches using TF database (TRANSFAC¢ç 6.0) and eukaryotic promoter database (EPD).

Results: DNA binding and trans-activation domains of all TFs listed previously were identified, and the list of downstream target proteins/genes was obtained from searche of TF database and promoter database. Based on the known function of identified downstream genes and the domains, 3 (HNF4, PPARg, and TBX2) out of 26 TFs were selected for further functional analysis. The genes of wee1-like protein kinase and p21WAF1 (cdk inhibitor) were identified as potential downstream target genes of HNF4 and TBX2, respectively. PPARg, through protein-protein interaction with other protein partners, acts as a transcription regulator of genes of EGFR, p21WAF1, cycD1, p53, and VEGF. Among the selected 3 TFs, further study is in progress for HNF4 and TBX2, since wee1-like protein kinase and cdk inhibitor may involved in regulating maturation promoting factor (MPF) activity during early folliculogenesis.

Conclusions: Approach used in the present study, in silico analysis of downstream target genes, was useful for analyzing list of TFs obtained from high-throughput cDNA microarray study. To verify its binding and functions of the selected TFs in early folliculogenesis, EMSA and further relevant characterizations are under investigation.

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Folliculogenesis;Bioinformatics;Transcription factor;Binding element;Downstream target gene

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