IEA/AIE 2006: Advances in Applied Artificial Intelligence pp 943-952 | Cite as
Identification of Over and Under Expressed Genes Mediating Allergic Asthma
Abstract
The present article focuses on identifying some of the genes mediating the development of asthma. Here we apply a pattern recognition based approach to identify the genes those are severely over or under expressed in the allergen samples. The methodology involves clustering on gene expression and fold values followed by determining similarity/dissimilarity among various clusters, and measuring the extent of over/under expression of genes. From this analysis we have identified several genes those have significantly changed their expression values for asthmatic condition, and have reported in the present article. Some of these observations are supported by some earlier investigations. Others have been stayed unnoticed so far, but may play crucial role in mediating the development of asthma.
Keywords
mouse clustering fold value Jaccard score DB-indexPreview
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References
- 1.Grunig, G., Warnock, M., Wakil, A.E., Venkayya, R., Brombacher, F., Rennick, D.M., Sheppard, D., Mohrs, M., Donaldson, D.D., Locksley, R.M., Corry, D.B.: Requirement for il-13 independently of il-4 in experimental asthma. Science 282, 2261–2263 (1998)CrossRefGoogle Scholar
- 2.Wills-Karp, M., Luyimbazi, J., Xu, X., Schofield, B., Neben, T.Y., Karp, C.L., Donaldson, D.D.: Interleukin-13: Central mediator of allergic asthma. Science 282, 2258–2261 (1998)CrossRefGoogle Scholar
- 3.Wills-Karp, M.: Interleukin-13 in asthma pathogenesis. Current Allergy and Asthma Reports 4, 123–131 (2004)CrossRefGoogle Scholar
- 4.Welch, J.S., Escoubet-Lozach, L., Sykes, D.B., Liddiard, K., Greaves, D.R., Glass, C.K.: Th2 cytokines and allergic challenge induce ym1 expression in macrophages by a stat6-dependent mechanism. The Journal of Biological Chemistry 277, 42821–42829 (2002)CrossRefGoogle Scholar
- 5.Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)Google Scholar
- 6.Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)CrossRefMATHGoogle Scholar
- 7.
- 8.Cormier, S.A., Yuan, S., Crosby, J.R., Protheroe, C.A., Dimina, D.M., Hines, E.M., Lee, N.A., Lee, J.J.: Th2-mediated pulmonary inflammation leads to the differential expression of ribonuclease genes by alveolar macrophages. American Journal of Respiratory Cell and Molecular Biology 27, 679–687 (2002)CrossRefGoogle Scholar
- 9.Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence 1, 224–227 (1979)CrossRefGoogle Scholar
- 10.Jain, A.K., Murty, M.N., Flyn, P.J.: Data clustering: A review. ACM Computing Surveys 31, 264–323 (1999)CrossRefGoogle Scholar
- 11.Godat, E., Lecaille, F., Desmazes, C., Duchene, S., Weidauer, E., Saftig, P., Bromme, D., Vandier, C., Lalmanach, G.: Cathepsin k: a cysteine protease with unique kinin-degrading properties. Biochemical Journal 383(pt. 3), 501–506 (2004)Google Scholar
- 12.Nakanishi, A., Morita, S.: Role of gob-5 in mucus overproduction and airway hyper responsiveness in asthma. In: Proceedings of the National Academy of Sciences of the United States of America, USA, pp. 5175–5180 (2001)Google Scholar
- 13.Vercelli, D.: Arginase: marker, effector, or candidate gene for asthma? The Journal of Clinical Investigation 3, 1815–1817 (2003)Google Scholar
- 14.Zimmermann, N., King, N.E., Laporte, J., Yang, M., Mishra, A., Pope, S.M., Muntel, E.E., Witte, D.P., Pegg, A.A., Foster, P.S., Hamid, Q., Rothenberg, M.E.: Dissection of experimental asthma with dna microarray analysis identifies arginase in asthma pathogenesis. The Journal of Clinical Investigation 3, 1863–1874 (2003)Google Scholar
- 15.Zimmermann, N., Doepker, M., Witte, D., Stringer, K., Fulkerson, P., Pope, S., Brandt, E., Mishra, A., King, N., Nikolaidis, N., Wills-Karp, M., Finkelman, F., Rothenberg, M.: Expression and regulation of small proline-rich protein 2 in allergic inflammation. American Journal of Respiratory Cell and Molecular Biology 32, 428–435 (2005)CrossRefGoogle Scholar