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Homology-Driven Proteomics of Dinoflagellates with Unsequenced Genomes Using MALDI-TOFTOF and Automated De Novo Sequencing
المؤلفون المشاركون
Xie, Zhang-Xian
Li, Cheng
Dong, Hong-Po
Wang, Da-Zhi
Lin, Lin
Hong, Hua-Sheng
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2011-09-29
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
This study developed a multilayered, gel-based, and underivatized strategy for de novo protein sequence analysis of unsequenced dinoflagellates using a MALDI-TOF/TOF mass spectrometer with the assistance of DeNovo Explorer software.
MASCOT was applied as the first layer screen to identify either known or unknown proteins sharing identical peptides presented in a database.
Once the confident identifications were removed after searching against the NCBInr database, the remainder was searched against the dinoflagellate expressed sequence tag database.
In the last layer, those borderline and nonconfident hits were further subjected to de novo interpretation using DeNovo Explorer software.
The de novo sequences passing a reliability filter were subsequently submitted to nonredundant MS-BLAST search.
Using this layer identification method, 216 protein spots representing 158 unique proteins out of 220 selected protein spots from Alexandrium tamarense, a dinoflagellate with unsequenced genome, were confidently or tentatively identified by database searching.
These proteins were involved in various intracellular physiological activities.
This study is the first effort to develop a completely automated approach to identify proteins from unsequenced dinoflagellate databases and establishes a preliminary protein database for various physiological studies of dinoflagellates in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Da-Zhi& Li, Cheng& Xie, Zhang-Xian& Dong, Hong-Po& Lin, Lin& Hong, Hua-Sheng. 2011. Homology-Driven Proteomics of Dinoflagellates with Unsequenced Genomes Using MALDI-TOFTOF and Automated De Novo Sequencing. Evidence-Based Complementary and Alternative Medicine،Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-474103
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Da-Zhi…[et al.]. Homology-Driven Proteomics of Dinoflagellates with Unsequenced Genomes Using MALDI-TOFTOF and Automated De Novo Sequencing. Evidence-Based Complementary and Alternative Medicine No. 2011 (2011), pp.1-16.
https://search.emarefa.net/detail/BIM-474103
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Da-Zhi& Li, Cheng& Xie, Zhang-Xian& Dong, Hong-Po& Lin, Lin& Hong, Hua-Sheng. Homology-Driven Proteomics of Dinoflagellates with Unsequenced Genomes Using MALDI-TOFTOF and Automated De Novo Sequencing. Evidence-Based Complementary and Alternative Medicine. 2011. Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-474103
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-474103
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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