지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Using bioinformatic tools for searching the massive genome databases, it is possible to identify new genes in few minutes for initial discoveries based on evolutionary conservation, domain homology, and tissue expression patterns, followed by further verification and characterization using the bench-top works. The development of high-density two-dimensional arrays has allowed the analysis of the expression of thousands of genes simultaneously in the humans, mice, rats, yeast, and bacteria to elucidate the genes and pathways involved in physiological processes. In addition, rapid and automated protein identification is being achieved by searching protein and nucleotide sequence databases directly with data generated from mass spectrometry. Recently, analysis at the biochemical level such as biochemical screening and metabolic profiling (Biochemical genomics) has been introduced as an additional approach for categorical assignment of gene function. To take advantage of recent achievements in computational approaches for facilitated gene discoveries in the avian model, chicken expression sequence tags (ESTs) have been reported and deposited in the international databases. By searching EST databases, a chicken heparanase gene was identified and functionally confirmed by subsequent experiments. Using combination of subtractive hybridization assay and Genbank database searches, a chicken heme-binding protein family (cSOUL/HBP) was isolated in the retina and pineal gland of domestic chicken and verified by Northern blot analysis. Microarrays have identified several host genes whose expression levels are elevated following infection of chicken embryo fibroblasts (CEF) with Marek's disease virus (MDV). The ongoing process of chicken genome projects and new discoveries and breakthroughs in genomics and proteomics will no doubt reveal new and exciting information and advances in the avian research.
목차
ABSTRACT
INTRODUCTION
NOVEL GENE DISCOVERIES BY COMPUTATIONAL GLOBAL APPROACHES
DATABASE MINING FOR NOVEL GENES BY HOMOLOGY SEARCHES
COMPREHENSIVE GENE - EXPRESSION PROFILING
COMPREHENSIVE PROTEIN DISCOVERY USING MASS SPECTROMETRY AND COMPUTATIONAL SEARCHES
GENE AND FUNCTIONAL PROTEIN DISCOVERIES VIA METABOLIC PROFILING
DISCOVERING NOVEL GENES OF POULTRY GENOMIC ERA
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-527-015204881