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Principles for the organization of gene-sets
Institution:1. Department of Pathology, Nihon University School of Dentistry, 1-8-13 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-8310, Japan;2. Division of Microscopic Anatomy, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata-shi, Niigata 951-8122, Japan;3. RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro, Tsurumi, Yokohama-shi, Kanagawa 230-0045, Japan;4. Department of Oral and Maxillofacial Surgery, Dokkyo Medical University School of Medicine, Mibu, Shimotsuga-gun, Tochigi, Japan;5. Department of Biochemistry, Nihon University School of Dentistry, 1-8-13 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-8310, Japan;6. Department of Obstetrics and Gynecology, Seibo International Catholic Hospital, 2-5-1 Nakaochiai, Shinjuku-ku, Tokyo 161-8521, Japan;7. Department of Pathology and Microbiology, Division of Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan;8. Department of Oral Pathology, Nihon University School of Dentistry at Matsudo, 2-870-1 Sakae-cho Nishi, Matsudo-shi, Chiba 271-8587, Japan
Abstract:A gene-set, an important concept in microarray expression analysis and systems biology, is a collection of genes and/or their products (i.e. proteins) that have some features in common. There are many different ways to construct gene-sets, but a systematic organization of these ways is lacking. Gene-sets are mainly organized ad hoc in current public-domain databases, with group header names often determined by practical reasons (such as the types of technology in obtaining the gene-sets or a balanced number of gene-sets under a header). Here we aim at providing a gene-set organization principle according to the level at which genes are connected: homology, physical map proximity, chemical interaction, biological, and phenotypic-medical levels. We also distinguish two types of connections between genes: actual connection versus sharing of a label. Actual connections denote direct biological interactions, whereas shared label connection denotes shared membership in a group. Some extensions of the framework are also addressed such as overlapping of gene-sets, modules, and the incorporation of other non-protein-coding entities such as microRNAs.
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