%0 Journal Article %1 pmid16501559 %A Gandhi, T. K. %A Zhong, J. %A Mathivanan, S. %A Karthick, L. %A Chandrika, K. N. %A Mohan, S. S. %A Sharma, S. %A Pinkert, S. %A Nagaraju, S. %A Periaswamy, B. %A Mishra, G. %A Nandakumar, K. %A Shen, B. %A Deshpande, N. %A Nayak, R. %A Sarker, M. %A Boeke, J. D. %A Parmigiani, G. %A Schultz, J. %A Bader, J. S. %A Pandey, A. %D 2006 %J Nat. Genet. %K imported %P 285--293 %T Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets %V 38 %X 70,000 binary interactions, only 42 were common to human, worm and fly, and only 16 were common to all four datasets. An additional 36 interactions were common to fly and worm but were not observed in humans, although a coimmunoprecipitation assay showed that 9 of the interactions do occur in humans. A re-examination of the connectivity of essential genes in yeast and humans indicated that the available data do not support the presumption that the number of interaction partners can accurately predict whether a gene is essential. Finally, we found that proteins encoded by genes mutated in inherited genetic disorders are likely to interact with proteins known to cause similar disorders, suggesting the existence of disease subnetworks. The human interaction map constructed from our analysis should facilitate an integrative systems biology approach to elucidating the cellular networks that contribute to health and disease states.

@article{pmid16501559, abstract = {70,000 binary interactions, only 42 were common to human, worm and fly, and only 16 were common to all four datasets. An additional 36 interactions were common to fly and worm but were not observed in humans, although a coimmunoprecipitation assay showed that 9 of the interactions do occur in humans. A re-examination of the connectivity of essential genes in yeast and humans indicated that the available data do not support the presumption that the number of interaction partners can accurately predict whether a gene is essential. Finally, we found that proteins encoded by genes mutated in inherited genetic disorders are likely to interact with proteins known to cause similar disorders, suggesting the existence of disease subnetworks. The human interaction map constructed from our analysis should facilitate an integrative systems biology approach to elucidating the cellular networks that contribute to health and disease states.}, added-at = {2011-07-21T16:10:59.000+0200}, author = {Gandhi, T. K. and Zhong, J. and Mathivanan, S. and Karthick, L. and Chandrika, K. N. and Mohan, S. S. and Sharma, S. and Pinkert, S. and Nagaraju, S. and Periaswamy, B. and Mishra, G. and Nandakumar, K. and Shen, B. and Deshpande, N. and Nayak, R. and Sarker, M. and Boeke, J. D. and Parmigiani, G. and Schultz, J. and Bader, J. S. and Pandey, A.}, biburl = {https://www.bibsonomy.org/bibtex/2b23438520f7fefdd4062c2b8376c6ee5/jschultz}, interhash = {a2a8f42317c0bebdd79cb5069d1c0fef}, intrahash = {b23438520f7fefdd4062c2b8376c6ee5}, journal = {Nat. Genet.}, keywords = {imported}, month = Mar, pages = {285--293}, timestamp = {2011-07-21T16:11:00.000+0200}, title = {{{A}nalysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets}}, volume = 38, year = 2006 }