Biology subjects

Xiang Li

Publications and source records attributed to Xiang Li.

3 recordsLinked to original sources

bioRxiv2016

The formation of extinction memory requires the accumulation of N6-methyl-2-deoxyadenosine in DNA

Here we report that the recently discovered mammalian DNA modification N6-methyl-2-deoxyadenosine (m6dA) is dynamically regulated in primary cortical neurons, and accumulates along promoters and coding sequences within the genome of activated prefrontal cortical neurons of adult C57/BI6 mice in response to fear extinction learning. The deposition of m6dA is generally associated with increased genome-wide occupancy of the mammalian m6dA methyltransferase, N6amt1, and this correlates with fear extinction learning-induced gene expression. Of particular relevance for fear extinction memory, the accumulation of m6dA is associated with an active chromatin state and the recruitment of transcriptional machinery to the brain-derived neurotrophic factor (Bdnf) P4 promoter, which is required for Bdnf exon IV mRNA expression and for the extinction of conditioned fear. These results expand the scope of DNA modifications in the adult brain and highlight changes in m6dA as a novel neuroepigenetic mechanism associated with activity-induced gene expression and the formation of fear extinction memory.

Neuroscience↗

bioRxiv2016

The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem

Several important and fundamental aspects of disease genetics models have yet to be described. One such property is the relationship of disease association statistics at a marker site closely linked to a disease causing site. A complete description of this two-locus system is of particular importance to experimental efforts to fine map association signals for complex diseases. Here, we present a simple relationship between disease association statistics and the decline of linkage disequilibrium from a causal site. A complete derivation of this relationship from a general disease model is shown for very large sample sizes. Quite interestingly, this relationship holds across all modes of inheritance. Extensive Monte Carlo simulations using a disease genetics model applied to chromosomes subjected to a standard model of recombination are employed to better understand the variation around this fine mapping theorem due to sampling effects. We also use this relationship to provide a framework for estimating properties of a non-interrogated causal site using data at closely linked markers. We anticipate that understanding the patterns of disease association decay with declining linkage disequilibrium from a causal site will enable more powerful fine mapping methods.

Genetics↗

bioRxiv2014

Spatial epidemiology of networked metapopulation: An overview

An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging diseases may trigger large-scale pandemic spreading, such as the transnational spreading of SARS, the global outbreak of A(H1N1), and the recent potential invasion of avian influenza A(H7N9). To study the dynamics mediating the transmission of emerging diseases, spatial epidemiology of networked metapopulation provides a valuable modeling framework, which takes spatially distributed factors into consideration. This review elaborates the latest progresses on the spatial metapopulation dynamics, discusses empirical and theoretical findings that verify the validity of networked metapopulations, and the application in evaluating the effectiveness of disease intervention strategies as well.

Biophysics↗