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Biology subjects

Taylor, J. W.

Publications and source records attributed to Taylor, J. W..

6 recordsLinked to original sources

Population structure of human-infecting and environmental isolates of Coccidioides immitis, the fungus causing Valley fever

Coccidioides is a soil-dwelling fungus that can cause serious disease (coccidioidomycosis or Valley fever) when its spores are inhaled. Limiting exposure to environmental spores is critical for disease prevention, yet how Coccidioides is distributed in the soil and where people become exposed remain almost entirely unknown. Here we report the first genomes of environmental isolates of C. immitis, from sampling of rodent burrows in the highly endemic region--California's San Joaquin Valley. We sequenced 16 soil-derived isolates alongside 26 novel patient-derived isolates collected from the same region to investigate genetic structure and diversity in C. immitis, and the potential origins of human infection. We found evidence of regional population structure among environmental C. immitis strains, though with extensive allele sharing between clusters. Most patient isolates derived nearly 100% of their ancestry from a genetic cluster shared with soil isolates, suggesting that the Coccidioides strain inhaled by a human host represents a random draw from the environmental pathogen pool. Further, we found that high levels of genomic diversity in environmental C. immitis are partitioned into effectively clonal lineages within individual rodent burrows, with isolates from neighboring burrows differing by over 13,000 SNPs. Together, these data support a picture of diverse, regionally structured environmental populations of C. immitis, suggesting that strategies to assign patient exposures to general regions within the San Joaquin Valley may be possible.

ecology↗

Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effects

Tau neurofibrillary tangles are a hallmark of several neurodegenerative diseases called tauopathies, including frontotemporal dementia and Alzheimers Disease. Ongoing clinical trials for tauopathies seek to reduce Tau in the brain through immunotherapy, antisense oligonucleotides, and siRNA. MAPT codes for Tau, therefore understanding how the MAPT gene is regulated and the effect of genetic variation at its regulatory elements is likely to have high relevance for tauopathies. We screened a [~]3 Mb region including the MAPT locus using 2 different massively parallel reporter assay (MPRA) strategies in KOLF2.1J h-NGN2 neurons and HEK293FT cells, identifying previously unannotated cis-regulatory elements (CREs). Using CRISPR interference (CRISPRi) in mixed neuron cultures, we identified a new CRE for MAPT, as well as 2 CREs for another nearby gene of interest, KANSL1. Known genetic variation from the Alzheimers Disease sequencing project was tested in a separate MPRA at the top CREs near the MAPT gene, identifying variants with altered regulatory effects including those at previously identified CREs for MAPT. Using a saturation mutagenesis screen of a 2,000 bp region encompassing the MAPT promoter, we assessed regulatory effects of each possible single nucleotide variant in this region. We identified several neuron-specific regulatory variant effects at this region, including a high confidence binding site for the transcription factors EGR2, ZBTB14, and TCLF5 at a region of high MPRA activity and genetic conservation.

genetics↗

Understanding and imaging PHGDH-driven intrinsic resistance to mutant IDH inhibition in gliomas

Mutations in isocitrate dehydrogenase (IDHm) define a distinct molecular class of gliomas. IDHm converts -ketoglutarate (-KG) to the oncometabolite D-2-hydroxyglutarate (D-2HG), which drives tumorigenesis. The IDHm inhibitor vorasidenib suppresses D-2HG production and extends progression-free survival in some, but not all, IDHm glioma patients. Here, using clinically relevant patient-derived IDHm models and patient tissue, we show that phosphoglycerate dehydrogenase (PHGDH) drives intrinsic resistance to vorasidenib by promiscuously converting -KG to D-2HG and maintaining D-2HG concentration despite IDHm inhibition. Silencing PHGDH sensitizes resistant models to vorasidenib, while conversely, overexpressing PHGDH induces vorasidenib resistance in sensitive models. Importantly, deuterium metabolic imaging of D-2HG production from diethyl-[3,3-2H]--ketoglutarate provides an early readout of response and resistance to vorasidenib that is not available by anatomical imaging in vivo. Collectively, we have identified PHGDH-driven D-2HG production as an intrinsic mechanism of resistance to vorasidenib and diethyl-[3,3-2H]-ketoglutarate as a non-invasive tracer for interrogating intrinsic resistance in IDHm gliomas. STATEMENT OF SIGNIFICANCEVorasidenib, which suppresses D-2HG production, is the first precision therapy to be approved for IDHm glioma patients. We show that PHGDH-driven restoration of D-2HG production mediates intrinsic resistance to vorasidenib in IDHm gliomas. Importantly, deuterium metabolic imaging of D-2HG production from diethyl-[3,3-2H]--ketoglutarate enables non-invasive assessment of resistance in IDHm gliomas.

cancer biology↗

Multi-season analysis reveals hundreds of drought-responsive genes in sorghum

Persistent drought affects global crop production and is becoming more severe in many parts of the world in recent decades. Deciphering how plants respond to drought will facilitate the development of flexible mitigation strategies. Sorghum bicolor L. Moench (sorghum), a major cereal crop and an emerging bioenergy crop, exhibits remarkable resilience to drought. To better understand the molecular traits that underlie sorghums remarkable drought tolerance, we undertook a large-scale sorghum gene expression profiling effort, totaling nearly 1,500 transcriptome profiles, across a 3-year field study with replicated plots in Californias Central Valley. This study included time-resolved gene expression data from roots and leaves of two sorghum genotypes, BTx642 and RTx430, with different pre-flowering and post-flowering drought-tolerance adaptations under control and drought conditions. Quantification of genotype-specific drought tolerance effects was enabled by de novo sequencing, assembly, and annotation of both BTx642 and RTx430 genomes. These reference-quality genomes were used to construct a pan-gene set for characterizing conserved and genotype-specific expression. By integrating time-resolved transcriptomic responses to drought in the field across three consecutive years, we identified a set of drought-responsive genes that responded similarly in all three years of our field study. This expansive dataset represents a unique resource for sorghum and drought research communities and provides a methodological framework for the integration of multi-faceted time-resolved transcriptomic datasets.

genomics↗

KOLF2.1J iTF-Microglia: A standardized platform to studymicroglial transcriptional regulatory networks in CNS disease

Understanding transcriptional regulatory networks (TRNs) in microglia is key to uncovering mechanisms driving central nervous system (CNS) disorders. Human iPSC-derived models offer a tractable system for studying microglia, yet variability between lines has limited reproducibility. Here, we use the standardized KOLF2.1J iTF line to rapidly generate microglia-like cells (iTF-Microglia) and profile TRNs under homeostatic and inflammatory conditions. iTF-Microglia closely resemble primary brain microglia at both transcriptomic and epigenomic levels. Integrative analyses reveal microglia-enriched candidate cis-regulatory elements (cCREs) and dynamic enhancer remodeling upon differentiation and LPS+IFNG stimulation, involving key transcription factors (TFs) including NF-{kappa}B, IRF, and STAT families. TRNs active in iTF-Microglia are enriched for genetic variants linked to Alzheimers disease and other CNS disorders. These findings establish KOLF2.1J iTF-Microglia as a reproducible and genetically tractable platform for studying human microglial gene regulation and provide mechanistic insight into how TRN remodeling may contribute to CNS disease risk.

genomics↗

Estimation of Rearrangement Break Rates Across the Genome

Genomic rearrangements provide an important source of novel functions by recombining genes and motifs throughout and between genomes. However, understanding how rearrangement functions to shape genomes is hard because reconstructing rearrangements is a combinatoric problem which often has many solutions. In lieu of reconstructing the history of rearrangements, we answer the question of where rearrangements are occurring in the genome by remaining agnostic to the types of rearrangement and solving the simpler problem of estimating the rate at which double-strand breaks occur at every site in a genome. We phrase this problem in graph theoretic terms and find that it is a special case of the minimum cover problem for an interval graph. We employ and modify existing algorithms for efficiently solving this problem. We implement this method as a Python program, named BRAG, and use it to estimate the break rates in the genome of the model Ascomycete mold, Neurospora crassa. We find evidence that rearrangements are more common in the subtelomeric regions of the chromosomes, which facilitates the evolution of novel genes.

genomics↗