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Lee, W.-S.

Publications and source records attributed to Lee, W.-S..

4 recordsLinked to original sources

A shared DNA-repeat toxicity threshold, reached somatically at cell-type-specific rates, unites cortical and striatal neurodegeneration in Huntingtons disease

Huntingtons disease (HD) affects two major brain areas - the striatum and cerebral cortex - in ways that differ in timing, severity, and gene-expression changes. For these reasons, and because many cortical neurons project axons to the affected striatal neurons, striatal and cortical atrophy have long been proposed to have distinct mechanisms, with one potentially a secondary consequence of the other. In the striatum, we recently found that neurons degenerate asynchronously as their own huntingtin (HTT) gene CAG-repeat tracts, typically inherited at 40-50 CAGs, expand somatically beyond 150 CAGs. To ask whether a similar or different dynamic affects the cerebral cortex, we analyzed HTT CAG repeats and genome-wide RNA expression together in more than 130,000 nuclei from 12 cortical areas of brain donors with HD. The resulting data revealed that cortical and striatal neurodegeneration in fact result from analogous sequences of cell-autonomous events, each instructed by somatic expansion of a neurons own HTT CAG repeat. Analyses revealed that somatic expansion beyond a high toxicity threshold (of about 150 CAGs) is necessary and sufficient to initiate pathological changes; that this pathogenicity length threshold is shared by striatal and cortical projection neurons of all types; and that cortical area, cortical layer, and axonal projections play only incidental roles, as proxies for the true driver: profound (up to 50-fold) variation among types and subtypes of pyramidal neurons in the likelihood of reaching the 150-CAG toxicity threshold in a human lifetime. These results also suggest that containing somatic DNA-repeat expansion below this high toxicity threshold would protect both brain areas in HD.

genetics↗

Long somatic DNA-repeat expansion drives neurodegeneration in Huntington disease

Huntington Disease (HD) is a fatal genetic disease in which most striatal projection neurons (SPNs) degenerate. The central biological question about HD pathogenesis has been how the disease-causing DNA repeat expansion (CAGn) in the huntingtin (HTT) gene leads to neurodegeneration after decades of apparent latency. Inherited HTT alleles with a longer CAG repeat hasten disease onset; the length of this repeat also changes over time, generating somatic mosaicism, and genes that regulate DNA-repeat stability can influence HD age-at-onset. To understand the relationship between a cells CAG-repeat length and its biological state, we developed a single-cell method for measuring CAG-repeat length together with genome-wide RNA expression. We found that the HTT CAG repeat expands from 40-45 CAGs to 100-500+ CAGs in HD-vulnerable SPNs but not in other striatal cell types, with these long DNA-repeat expansions acquired at different times by individual SPNs. Surprisingly, somatic expansion from 40 to 150 CAGs had no apparent effect upon gene expression - but neurons with 150-500+ CAGs shared profound gene-expression changes. These expression changes involved hundreds of genes, escalated alongside further CAG-repeat expansion, eroded positive and then negative features of neuronal identity, and culminated in expression of senescence/apoptosis genes. Rates of striatal neuron loss across HD stages reflected the rates at which neurons entered this biologically distorted state. Our results suggest that HTT CAG repeats in striatal neurons undergo decades of biologically quiet expansion, then, as they asynchronously cross a high threshold, cause SPNs to degenerate quickly and asynchronously. We conclude that, at any moment in the course of HD, most neurons have an innocuous (but unstable) huntingtin gene, and that HD pathogenesis is a DNA process for almost all of a neurons life.

genetics↗

Literature-based predictions of treatments for genetic disease pathology

Identifying genetic modifiers of disease-causing genes can guide drug discovery for treatment of genetic disorders, but selecting promising drugs to test requires extensive and up-to-date knowledge of drug-gene and gene-gene relationships. To address this challenge, we present PARsing ModifiErS via Abstract aNnotations (PARMESAN), a computational tool that searches PubMed for information on these relationships, and assembles them into one knowledgebase. PARMESAN then hypothesizes on undiscovered drug-gene relationships, assigning an evidence-based score to each hypothesis. We compare PARMESANs drug-gene hypotheses to all of the drug-gene relationships displayed by DrugBank, and see a strong correlation between the prediction score and the predictive accuracy--such that predictions scoring above 10 are 11 times more likely to be correct than incorrect. This publicly available tool provides an automated way to prioritize drug screens to target the most-promising drugs to test, thereby saving time and resources in the development of therapeutics for genetic disorders.

bioinformatics↗

The Post-2020 Global Biodiversity Framework must safeguard the Tree of Life

Following our failure to fully achieve any of the 20 Aichi biodiversity targets, the future of biodiversity rests in the balance. The Convention on Biological Diversitys Post-2020 Global Biodiversity Framework (GBF) presents us with the opportunity to preserve Natures Contributions to People (NCPs) for current and future generations through conserving biodiversity and averting extinction across the Tree of Life. Here we call attention to our need to conserve the Tree of Life to maintain its benefits into the future as a key mechanism for achieving intergenerational equity. We highlight two indicators available for adoption in the post-2020 GBF to monitor our progress towards safeguarding the Tree of Life. The Phylogenetic Diversity indicator, adopted by IPBES, can be used to monitor biodiversitys capacity to maintain NCPs for future generations. The EDGE (Evolutionarily Distinct and Globally Endangered) Index monitors how well we are performing at averting the greatest losses across the Tree of Life by conserving the most distinctive species. By committing to safeguarding the Tree of Life post-2020, we can reduce biodiversity loss to preserve natures contributions to humanity now and into the future.

ecology↗