Automated Classification of Subcellular Localization of Proteins in HeLa Cells Using Fluorescent Microscopic Images

Chem-Bio Informatics Journal

Takahiro Tsunekawa²  Noriko Kabuyama¹  Toshiyuki Gotoh¹  Takushi Togashi⁵  Reiko Minamikawa-Tachino Reiko Minamikawa-Tachino⁴  Nobuo Nomura³  Seiichiro Kagei¹  Sumio Sugano⁵ 

[1] Graduate School of Environment and Information Sciences, Yokohama National University;Computational Science and Engineering Center, Fujitsu Limited;Biological Information Research Center, National Institute of Advanced Industrial Science and Technology;The Tokyo Metropolitan Institute of Medical Science;The Institute of Medical Science, The University of Tokyo

关键词: functional genomics;    機能ゲノム学;    protein localization;    タンパク質局在;    subcellular compartment;    細胞内コンパートメント;    image processing;    画像処理;    image classification;    画像分類;   

DOI  :  10.1273/cbij.4.27

学科分类：生物化学/生物物理

来源: Chem-Bio Informatics Society

【 摘 要 】

References(9)We have developed a system to classify cellular forms of fusion proteins with an enhanced yellow fluorescent protein (EYFP) into subcellular compartments using images by a fluorescent microscope.The system aims at image classification to accommodate the multiplicity of cellular forms.The cellular forms automatically searched for in the images are classified with excellent reliability using statistical pattern recognition.The patterns are extended models of the cellular forms which are the result of protein localization as seen in seven standard subcellular compartments, including in the apoptosis and the overexpression.The image itself is classified by the majority of cellular forms it contains so as to reflect the characteristics of cell population, rejecting cellular forms with low reliability and in the apoptosis.We have found that our system is 97.9% accurate in classifying cellular forms into subcellular compartments.

【 授权许可】

Unknown