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Biology subjects

Nelson, W.

Publications and source records attributed to Nelson, W..

7 recordsLinked to original sources

High-throughput affinity profiling of antibodies against soluble and native membrane targets by digital flow cytometry

Binding affinity measurements are essential for optimizing and validating therapeutic and research antibodies, yet no high-throughput platform supports quantitative affinity measurements for both soluble and native membrane targets. Here we present a suite of digital flow cytometry (dFC) assays that determine equilibrium binding affinities by directly counting free and bound molecules in homogeneous mixtures without immobilization. The assays enable titration-free absolute KD measurements for fluorescent binding partners, affinity measurements for unlabeled antibodies against membrane receptors on cell-derived extracellular vesicles (EVs), and multiplexed assays for rapid ranking or screening of antibody variants. We demonstrate applications by quantifying the effects of degree-of-labeling on the affinity of antibody-dye conjugates, and of drug conjugation on therapeutic antibody binding to receptors on human cancer EVs. By combining single-molecule quantitation, adaptable assay designs, and high-throughput analysis, dFC provides a versatile platform for therapeutic antibody optimization and research antibody validation.

biophysics↗

Convergent alterations in the tumor microenvironment of MYC-driven human and murine prostate cancer

The tissue microenvironment in prostate cancer is profoundly altered. While such alterations have been implicated in driving prostate cancer initiation and progression to aggressive disease, how prostate cancer cells and their precursors mediate those changes is unclear, in part due to the inability to longitudinally study the disease evolution in human tissues. To overcome this limitation, we performed extensive single-cell RNA-sequencing (scRNA-seq) and rigorous molecular pathology of the comparative biology between human prostate cancer and key time points in the disease evolution of a genetically engineered mouse model (GEMM) of prostate cancer. Our studies of human tissues, with validation in a large external data set, revealed that cancer cell-intrinsic activation of MYC signaling was the top up-regulated pathway in human cancers, representing a common denominator across the well-known molecular and pathological heterogeneity of human prostate cancer. Likewise, numerous non-malignant cell states in the tumor microenvironment (TME), including non-cancerous epithelial, immune, and fibroblast cell compartments, were conserved across individuals, raising the possibility that these cell types may be a sequelae of the convergent MYC activation in the cancer cells. To test this hypothesis, we employed a GEMM of prostate epithelial cell-specific MYC activation in two mouse strains. Cell communication network and pathway analyses suggested that MYC oncogene-expressing neoplastic cells, directly and indirectly, reprogrammed the TME during carcinogenesis, leading to the emergence of cascading cell state alterations in neighboring epithelial, immune, and fibroblast cell types that paralleled key findings in human prostate cancer. Importantly, among these changes, the progression from a precursor-enriched to invasive-cancer-enriched state was accompanied by a cell-intrinsic switch from pro-immunogenic to immunosuppressive transcriptional programs with coinciding enrichment of immunosuppressive myeloid and Treg cells in the immune microenvironment. These findings implicate activation of MYC signaling in reshaping convergent aspects of the TME of prostate cancer as a common denominator across the otherwise well-documented molecular heterogeneity of human prostate cancer.

cancer biology↗

Single-cell atlas of epithelial and stromal cell heterogeneity by lobe and strain in the mouse prostate

Evaluating the complex interplay of cell types in the tissue microenvironment is critical to understanding the origin and progression of diseases in the prostate and potential opportunities for intervention. Mouse models are an essential tool to investigate the molecular and cell-type-specific contributions of prostate disease at an organismal level. While there are well-documented differences in the extent, timing, and nature of disease development in various genetically engineered mouse models in different mouse strains and prostate lobes within each mouse strain, yet, the underlying molecular phenotypic differences in cell types across mouse strains and prostate lobes are incompletely understood. To address this, we examined the single-cell transcriptomes of individual mouse prostate lobes from two commonly used mouse strains, FVB/NJ and C57BL/6J. Data dimensionality reduction and clustering analysis revealed that basal and luminal cells possessed strain-specific transcriptomic differences, with luminal cells also displaying marked lobe-specific differences. Additionally, three rare populations of epithelial cells clustered independently of strain and lobe: one population of luminal cells expressing Foxi1 and components of the vacuolar ATPase proton pump (Atp6v0d2 and Atp6v1g3), another population expressing Psca and other stem cell-associated genes (Ly6a/Sca-1, Tacstd2/Trop-2), and a neuroendocrine population expressing Chga, Chgb, and Syp. In contrast, stromal cell clusters, including fibroblasts, smooth muscle cells, endothelial cells, pericytes, and immune cell types, were conserved across strain and lobe, clustering largely by cell type and not by strain or lobe. One notable exception to this was the identification of two distinct fibroblast populations that we term subglandular fibroblasts and interstitial fibroblasts based on their strikingly distinct spatial distribution in the mouse prostate. Altogether, these data provide a practical reference of the transcriptional profiles of mouse prostate from two commonly used mouse strains and across all four prostate lobes.

cell biology↗

Phased Mutations and Complex Rearrangements in Human Prostate Cancer Cell Lines through Linked-Read Whole Genome Sequencing

A limited number of cell lines have fueled the majority of preclinical Prostate cancer (PCa) research. Despite tremendous effort in characterizing their molecular profiles, comprehensive whole genome sequencing with allelic phasing of somatic genome alterations has not been undertaken to date. Here, we utilized whole genome Linked-read sequencing to obtain haplotype information from the seven most commonly used PCa cell lines (PC3, LNCaP, DU145, CWR22Rv1, VCaP, LAPC4, MDA-PCa-2b), four castrate resistant (CR) subclones (LNCaP_Abl, LNCaP_C42b, VCaP-CR, LAPC4-CR), and an immortalized prostate epithelial line RWPE-1. Phasing of mutations allowed derivation of "Gene-level Haplotype" to assess whether a gene harbored heterozygous mutations in one or both alleles, providing a comprehensive catalogue of mono or bi-allelically inactivated genes. Phased structural variant analysis allowed identification of complex rearrangement chains consistent with chromothripsis and chromoplexy, with breakpoints occurred across a single allele, providing further evidence that complex SVs occurred in a concerted event, rather than through accumulation of multiple independent rearrangements. Additionally, comparison of parental and CR subclones revealed previously known and novel genomic alterations associated with the CR clones. This study therefore comprehensively characterized phased genomic alterations in the commonly used PCa cell lines and provided a useful resource for future cancer research.

cancer biology↗

Pervasive promoter hypermethylation of silenced TERT alleles in human cancers

In cancers, maintenance of telomeres often occurs through activation of the catalytic subunit of telomerase, encoded by TERT. Yet, most cancers show only modest levels of telomerase gene expression, even in the context of activating hotspot promoter mutations (C228T and C250T). The role of epigenetic mechanisms, including DNA methylation, in regulating telomerase gene expression in cancer cells is not fully understood. Here, we have carried out the most comprehensive characterization to date of TERT promoter methylation using ultra-deep bisulfite sequencing spanning the CpG island surrounding the core TERT promoter in 96 different human cell lines. In general, we observed that immortalized and cancer cell lines were hypermethylated in a region upstream of the recurrent C228T and C250T TERT promoter mutations, while non-malignant primary cells were comparatively hypomethylated in this region. However, at the allele-level, we generally observe hypermethylation of promoter sequences in cancer cells is associated with repressed expression, and the remaining unmethylated alleles marked with open chromatin are largely responsible for the observed TERT expression in cancer cells. Our findings suggest that hypermethylation of the TERT promoter alleles signals transcriptional repression of those alleles, leading to the attenuation of TERT activation in cancer cells. SIGNIFICANCEHypermethylation of the TERT promoter alleles to attenuate TERT activation in cancer cells may account for the modest activation of TERT expression in most cancers.

cancer biology↗

Multi omics comparison reveals metabolome biochemistry, not microbiome composition or gene expression, corresponds to elevated biogeochemical function in the hyporheic zone

Biogeochemical hotspots are pervasive at terrestrial-aquatic interfaces, particularly within groundwater-surface water mixing zones (hyporheic zones), and they are critical to understanding spatiotemporal variation in biogeochemical cycling. Here, we use multi omic comparisons of hotspots to low-activity sediments to gain mechanistic insight into hyporheic zone organic matter processing. We hypothesized that microbiome structure and function, as described by metagenomics and metaproteomics, would distinguish hotspots from low-activity sediments through a shift towards carbohydrate-utilizing metabolic pathways and elucidate discrete mechanisms governing organic matter processing in each location. We also expected these differences to be reflected in the metabolome, whereby hotspot carbon (C) pools and metabolite transformations therein would be enriched in sugar-associated compounds. In contrast to expectations, we found pronounced phenotypic plasticity in the hyporheic zone microbiome that was denoted by similar microbiome structure, functional potential, and expression across sediments with dissimilar metabolic rates. Instead, diverse nitrogenous metabolites and biochemical transformations characterized hotspots. Metabolomes also corresponded more strongly to aerobic metabolism than bulk C content only (explaining 67% vs. 42% of variation), and bulk C did not improve statistical models based on metabolome composition alone. These results point to organic nitrogen as a significant regulatory factor influencing hyporheic zone organic matter processing. Based on our findings, we propose incorporating knowledge of metabolic pathways associated with different chemical fractions of C pools into ecosystem models will enhance prediction accuracy.

molecular biology↗

Shorter season options through transplanted fodder beet

Fodder beet has distinct benefits such as high yield potential, excellent feed quality (especially metabolisable energy), and suitability for cool temperate climates. Production area has recently increased dramatically in New Zealand, primarily for non-lactating cow feed during winter but increasingly for other animals and times of the year.\n\nCurrently, establishing fodder beet requires intensive land cultivation and precision sowing of pelleted seed. It is generally regarded as a difficult crop to grow successfully. Competition from early season weeds means that multiple herbicide applications are commonly applied. Delaying the sowing date, until soil temperatures have risen enough for germination, limits the flexibility of this crop within farm rotations.\n\nTransplanting is a plant establishment technique common in both forestry and vegetable crops. It simplifies establishment and reduces the risk of poor establishment.\n\nHere we demonstrate that transplanting of fodder beet can be conducted successfully with low variability observed within the transplanted crop. Individual root volume and dry matter content are similar, whether crops are precision-drilled or transplanted. Our results suggest that transplanting is a financially feasible option for fodder beet establishment.

plant biology↗