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Phillips, D. P.

Publications and source records attributed to Phillips, D. P..

3 recordsLinked to original sources

How mutation rate evolves: Gene expression shapes genome-wide mutation rates in Drosophila melanogaster and Caenorhabditis elegans

Mutation rates vary across the genome, linked to biochemical properties of local DNA sequences. However, mutation rate variation also associates with functional genomic features, raising the possibility that intragenomic mutation rate variation is shaped by adaptive evolution. In particular, recent studies in the model plant Arabidopsis thaliana suggested that highly conserved genes under strong purifying selection also have reduced de novo mutation rates, suggesting that natural selection may have acted to reduce mutation rate specifically at important genes. However, whether this is true for wider taxa, including animals, remains unknown. Here we repurposed published mutation accumulation datasets from Drosophila melanogaster and Caenorhabditis elegans to investigate the determinants of de novo single nucleotide variant (DNV) rates genome-wide under minimal selection. Loci under stronger purifying selection accumulated fewer mutations, including intronic and synonymous mutations. Various sequence-specific (i.e. GC content) and regulatory features (e.g. chromatin modifications) were strongly correlated with mutation rate, but gene expression best explained the depletion of mutations within strongly conserved loci, even after accounting for correlations amongst variables. Using excision repair (XR)-sequencing data we determined that higher levels of transcription- coupled repair (TCR) were associated with reduced mutation rates, strongly suggesting that TCR lowers mutation rate of highly conserved genes. Furthermore, by comparing orthologs between C. elegans and its close relative Pristionchus pacificus, we found that altered gene expression across evolutionary time correlated with altered mutation rate. These findings support a model whereby developmental transcription modulates local mutation rates through TCR. A corollary is that adaptive mutation bias may emerge indirectly, downstream of gene regulation evolution, providing a mechanistic framework that reconciles non-random local mutation rate variation with established evolutionary theory.

genomics↗

AHR activation accelerates the resolution of TGF-β1 induced fibroblast activation and promotes alveolar type 1 cell regeneration in alveolar organoids

Regeneration of the alveolar epithelium is necessary to restore tissue architecture and gas exchange capabilities in chronic pulmonary diseases such as fibrosing interstitial lung disease. While it is known alveolar type 2 (AT2) cells give rise to alveolar type 1 (AT1) cells to repair the alveolar epithelium after injury, methods to promote this process under pathological settings are poorly understood. Here, using a complex 3D organoid culture with TGF-{beta}1 dependent impaired AT1 spheroid formation, we performed a high-throughput screen (HTS) with [~]16,800 compounds to identify small molecules that increase number of AT1 spheroids. Longitudinal single cell RNA sequencing (scRNA-seq) revealed that DB-11-BE87 increased AT1 regeneration by reducing TGF-{beta}1 induced fibroblast activation, concurrently with AHR activation in those cells. These studies highlight a novel HTS system to identify factors that can promote AT1 differentiation and suggest AHR activation as a method to counteract pathological TGF-{beta}1 signaling in pulmonary disease.

cell biology↗

Drug interaction mapping with proximity dependent enzyme recruiting chimeras

Proximity dependent labeling using engineered enzymes has been used extensively to identify protein-protein interactions, and map protein complexes in-vitro and in-vivo. Here, we extend the use of engineered promiscuous biotin ligases to the identification of small molecule protein targets. Chimeric bi-functional chemical probes ("recruiters") are used to effectively recruit tagged biotin ligases for proximity dependent labeling of target and target interactors. The broad applicability of this approach is demonstrated with probes developed from a multi-kinase inhibitor, a bromodomain targeting moiety, and an FKBP targeting molecule. While complementary to traditional chemo-proteomic strategies such as photo-affinity labeling (PAL), and activity-based protein profiling (ABPP), this approach is a useful addition to the target ID toolbox with opportunities for tunability based on the inherent labeling efficiencies of different engineered enzymes and control over the enzyme cellular localization.

molecular biology↗