Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Identification of endogenous retroviral reading frames in the human genome | Retrovirology BioMed Central Research Open Access Identification of endogenous retroviral reading frames in the human genome Palle Villesent1 Lars Aagaard f1 Carsten Wiuf1 and Finn Skou Pedersen2 3 Address 1Bioinformatics Research Center University of Aarhus Hoegh-Guldbergs Gade 10 Bldg. 090 DK-8000 Aarhus Denmark 2Department of Molecular Biology University of Aarhus C. F. Mollers Allé Bldg. 130 DK-8000 Aarhus Denmark and 3Department of Medical Microbiology and Immunology University of Aarhus DK-8000 Aarhus Denmark Email Palle Villesen - palle@ Lars Aagaard - laa@ Carsten Wiuf - wiuf@ Finn Skou Pedersen - fsp@ Corresponding author tEqual contributors Published II October 2004 Received 22 September 2004 Accepted 1 1 October 2004 Retrovirology 2004 1 32 doi 1742-4690-1-32 This article is available from http content 1 1 32 2004 Villesen 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 Human endogenous retroviruses HERVs comprise a large class of repetitive retroelements. Most HERVs are ancient and invaded our genome at least 25 million years ago except for the evolutionary young HERV-K group. The far majority of the encoded genes are degenerate due to mutational decay and only a few non-HERV-K loci are known to retain intact reading frames. Additional intact HERV genes may exist since retroviral reading frames have not been systematically annotated on a genome-wide scale. Results By clustering of hits from multiple BLAST searches using known retroviral sequences we have mapped of the human genome as retrovirus related. The coding potential of all identified HERV regions were analyzed by annotating viral open reading frames vORFs .
