New Insights into Alzheimer's Disease: A Human-Specific De Novo Gene Associated with Brain Functions
Research from Peking University in Beijing, People's Republic of China, has shed new light on the genetic factors underlying Alzheimer's disease. Scientists have identified a human-specific de novo protein-coding gene, FLJ33706 (also known as C20orf203), which is associated with brain functions and has a unique evolutionary path. The gene was found to be most abundantly expressed in the brain, and its protein was detected in neurons in the normal human brain cortex. Elevated expressions of FLJ33706 were also observed in Alzheimer's brain samples, suggesting a potential role in the disease's pathogenesis.
Key Takeaways:
- The researchers computationally screened genetic vulnerable factors identified through Genome-Wide Association Studies and linkage analyses of nicotine addiction to find the human-specific de novo protein-coding gene FLJ33706.
- FLJ33706 has a unique evolutionary path, originating from noncoding DNA sequences through the insertion of repeat elements, such as Alu, which contributed to the formation of the first coding exon.
- The gene was found to be most abundantly expressed in the brain, with its protein detected in neurons in the normal human brain cortex.
- Elevated expressions of FLJ33706 were observed in Alzheimer's brain samples, suggesting a potential role in the disease's pathogenesis.
- The researchers concluded that FLJ33706 provides the strongest evidence so far that human-specific de novo genes can have protein-coding potential and differential protein expression, and be involved in human brain functions.
- The study was published in PLOS Computational Biology, a peer-reviewed journal, in 2010.
Statistics:
- The gene FLJ33706 has a protein expression of 194 amino acids.
- The gene was found to be most abundantly expressed in the brain.
- Elevated expressions of FLJ33706 were observed in study samples.
Sources:
- Li, C.Y., et al. (2010). A human-specific de novo protein-coding gene associated with human brain functions. PLOS Computational Biology, 6(3), e1000734.