Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Comparative expression profiling in grape (Vitis vinifera) berries derived from frequency analysis of ESTs and MPSS signatures | BMC Plant Biology BioMed Central Research article Open Access Comparative expression profiling in grape Vitis vinifera berries derived from frequency analysis of ESTs and MPSS signatures Alberto Zandolino1 3 Kan Nobuta2 Francisco Goes da Silva1 Douglas R Cook1 and Blake C Meyers 2 Address Department of Plant Pathology and College of Agricultural and Environmental Sciences Genomics Facility University of California One Shields Avenue Davis CA 95616 USA 2Department of Plant and Soil Sciences Delaware Biotechnology Institute University of Delaware Newark Delaware 19711 USA and 3Monsanto 1920 5th Street Davis 95616 California USA Email Alberto Zandolino - Kan Nobuta - nobuta@ Francisco Goes da Silva - fdgoesdasilva@ Douglas R Cook - drcook@ Blake C Meyers - meyers@ Corresponding author Published 12 May 2008 Received 26 June 2007 BMC Plant Biology 2008 8 53 doi l47l-2229-8-53 Accepted 12 May 2008 This article is available from http l47l-2229 8 53 2008 Iandolino et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Vitis vinifera V. vinifera is the primary grape species cultivated for wine production with an industry valued annually in the billions of dollars worldwide. In order to sustain and increase grape production it is necessary to understand the genetic makeup of grape species. Here we performed mRNA profiling using Massively Parallel Signature Sequencing MPSS and combined it with available Expressed Sequence Tag EST data. These tag-based technologies which do not require a priori knowledge of genomic sequence are well-suited for transcriptional profiling. The sequence depth of MPSS allowed us to capture and .
