Title |
Functionalization of a protosynaptic gene expression network
|
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Published in |
Proceedings of the National Academy of Sciences of the United States of America, June 2012
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DOI | 10.1073/pnas.1201890109 |
Pubmed ID | |
Authors |
Cecilia Conaco, Danielle S. Bassett, Hongjun Zhou, Mary Luz Arcila, Sandie M. Degnan, Bernard M. Degnan, Kenneth S. Kosik |
Abstract |
Assembly of a functioning neuronal synapse requires the precisely coordinated synthesis of many proteins. To understand the evolution of this complex cellular machine, we tracked the developmental expression patterns of a core set of conserved synaptic genes across a representative sampling of the animal kingdom. Coregulation, as measured by correlation of gene expression over development, showed a marked increase as functional nervous systems emerged. In the earliest branching animal phyla (Porifera), in which a nearly complete set of synaptic genes exists in the absence of morphological synapses, these "protosynaptic" genes displayed a lack of global coregulation although small modules of coexpressed genes are readily detectable by using network analysis techniques. These findings suggest that functional synapses evolved by exapting preexisting cellular machines, likely through some modification of regulatory circuitry. Evolutionarily ancient modules continue to operate seamlessly within the synapses of modern animals. This work shows that the application of network techniques to emerging genomic and expression data can provide insights into the evolution of complex cellular machines such as the synapse. |
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Uzbekistan | 1 | 10% |
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France | 1 | 10% |
Unknown | 5 | 50% |
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Scientists | 2 | 20% |
Mendeley readers
Geographical breakdown
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Germany | 2 | 2% |
United Kingdom | 2 | 2% |
Spain | 2 | 2% |
Israel | 1 | <1% |
Australia | 1 | <1% |
Thailand | 1 | <1% |
Italy | 1 | <1% |
Singapore | 1 | <1% |
Other | 1 | <1% |
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Demographic breakdown
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Student > Ph. D. Student | 37 | 28% |
Researcher | 35 | 26% |
Student > Master | 11 | 8% |
Professor | 8 | 6% |
Student > Bachelor | 8 | 6% |
Other | 23 | 17% |
Unknown | 11 | 8% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 17 | 13% |
Neuroscience | 9 | 7% |
Computer Science | 6 | 5% |
Psychology | 5 | 4% |
Other | 27 | 20% |
Unknown | 10 | 8% |