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Cited by 187

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Human Lineage–Specific Amplification, Selection, and Neuronal Expression of DUF1220 Domains

Popesco, Magdalena C., MacLaren, Erik J., Hopkins, Janet, Dumas, Laura, Cox, Michael, Meltesen, Lynne, McGavran, Loris, Wyckoff, Gerald J., Sikela, James M.·2006·Science

Abstract

Extreme gene duplication is a major source of evolutionary novelty. A genome-wide survey of gene copy number variation among human and great ape lineages revealed that the most striking human lineage–specific amplification was due to an unknown gene, MGC8902 , which is predicted to encode multiple copies of a protein domain of unknown function (DUF1220). Sequences encoding these domains are virtually all primate-specific, show signs of positive selection, and are increasingly amplified generally as a function of a species' evolutionary proximity to humans, where the greatest number of copies (212) is found. DUF1220 domains are highly expressed in brain regions associated with higher cognitive function, and in brain show neuron-specific expression preferentially in cell bodies and dendrites.

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Metadata

Authors
Popesco, M. C., MacLaren, E. J., Hopkins, J., Dumas, L., Cox, M., Meltesen, L., McGavran, L., Wyckoff, G. J., & Sikela, J. M.
Venue
Science
Published
2006-09
Volume
313
Issue
5791
Pages
1304-1307
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2026977699
Cited by
187
References
1
FWCI
9.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Human Lineage–Specific Amplification, Selection, and Neuronal Expression of DUF1220 Domains. https://app.cochat.ai/papers/10.1126/science.1127980
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Popesco, M. C., MacLaren, E. J., Hopkins, J., Dumas, L., Cox, M., Meltesen, L., McGavran, L., Wyckoff, G. J., & Sikela, J. M. (2006). Human Lineage–Specific Amplification, Selection, and Neuronal Expression of DUF1220 Domains. Science. https://doi.org/10.1126/science.1127980

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.