Model protocol to study pharmacogenomics in inflammatory diseases: Human rheumatoid arthritis

Attur, Mukundan; Bingham, Clifton O.; Dave, Mandar; Abramson, Steven B.; Amin, Ashok R.

doi:10.1002/(sici)1098-2299(200001)49:1<29::aid-ddr5>3.0.co;2-l

Cited by 2 publications

(2 citation statements)

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“…Another strategy to reduce targets to a manageable number would be by applying pharmacogenomic screens (in vitro and in vivo), and comparing the targets to chemogenomic databases during pharmacological intervention e.g. TNFα and/or recombinant TNF antagonists (Attur et al, 2000a).…”

Section: Gene Mining In Arthritismentioning

confidence: 99%

“…The cells are then packaged in an inert sponge together with normal human cartilage and implanted in a renal capsule in mice. This strategy has been utilized to examine the effect of IL-1Ra, p55-TNFα receptor, IL-10, tumor suppressors PTEN and p53 in cartilage degradation (Jorgensen and Gay, 1998;Attur et al, 2000a) .…”

Section: An In Vivo Model Of Scid Mouse For Human Synovium/ Cartilagementioning

confidence: 99%

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A System Biology Approach to Bioinformatics and Functional Genomics in Complex Human Diseases: Arthritis

Attur

Dave

Tsunoyama³

et al. 2002

Current Issues in Molecular Biology

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Human and other annotated genome sequences have facilitated generation of vast amounts of correlative data, from human/animal genetics, normal and disease-affected tissues from complex diseases such as arthritis using gene/protein chips and SNP analysis. These data sets include genes/proteins whose functions are partially known at the cellular level or may be completely unknown (e.g. ESTs). Thus, genomic research has transformed molecular biology from "data poor" to "data rich" science, allowing further division into subpopulations of subcellular fractions, which are often given an "-omic" suffix. These disciplines have to converge at a systemic level to examine the structure and dynamics of cellular and organismal function.The challenge of characterizing ESTs linked to complex diseases is like interpreting sharp images on a blurred background and therefore requires a multidimensional screen for functional genomics ("functionomics") in tissues, mice and zebra fish model, which intertwines various approaches and readouts to study development and homeostasis of a system. In summary, the post-genomic era of functionomics will facilitate to narrow the bridge between correlative data and causative data by quaint hypothesis-driven research using a system approach integrating "intercoms" of interacting and interdependent disciplines forming a unified whole as described in this review for Arthritis.

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Section: Gene Mining In Arthritismentioning

confidence: 99%

Section: An In Vivo Model Of Scid Mouse For Human Synovium/ Cartilagementioning

confidence: 99%