Biology subjects

Cullen, N.

Publications and source records attributed to Cullen, N..

4 recordsLinked to original sources

bioRxiv2024

A spatial cell atlas of neuroblastoma reveals developmental, epigenetic and spatial axis of tumor heterogeneity

Neuroblastoma is a pediatric cancer arising from the developing sympathoadrenal lineage with complex inter- and intra-tumoral heterogeneity. To chart this complexity, we generated a comprehensive cell atlas of 55 neuroblastoma patient tumors, collected from two pediatric cancer institutions, spanning a range of clinical, genetic, and histologic features. Our atlas combines single-cell/nucleus RNA-seq (sc/scRNA-seq), bulk RNA-seq, whole exome sequencing, DNA methylation profiling, spatial transcriptomics, and two spatial proteomic methods. Sc/snRNA-seq revealed three malignant cell states with features of sympathoadrenal lineage development. All of the neuroblastomas had malignant cells that resembled sympathoblasts and the more differentiated adrenergic cells. A subset of tumors had malignant cells in a mesenchymal cell state with molecular features of Schwann cell precursors. DNA methylation profiles defined four groupings of patients, which differ in the degree of malignant cell heterogeneity and clinical outcomes. Using spatial proteomics, we found that neuroblastomas are spatially compartmentalized, with malignant tumor cells sequestered away from immune cells. Finally, we identify spatially restricted signaling patterns in immune cells from spatial transcriptomics. To facilitate the visualization and analysis of our atlas as a resource for further research in neuroblastoma, single cell, and spatial-omics, all data are shared through the Human Tumor Atlas Network Data Commons at www.humantumoratlas.org.

cancer biology↗

bioRxiv2020

Expansion Sequencing: Spatially Precise In Situ Transcriptomics in Intact Biological Systems

AbstractMethods for highly multiplexed RNA imaging are limited in spatial resolution, and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to mouse brain, yielding readout of thousands of genes, including splice variants and novel transcripts. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in neurons of the mouse hippocampus, revealing patterns across multiple cell types; layer-specific cell types across mouse visual cortex; and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus ExSeq enables highly multiplexed mapping of RNAs, from nanoscale to system scale. One Sentence SummaryIn situ sequencing of physically expanded specimens enables multiplexed mapping of RNAs at nanoscale, subcellular resolution.

genomics↗

bioRxiv2019

Variation in genome context and predatory phenotypes between Bdellovibrio sp. NC01 isolated from soil and B. bacteriovorus type strain HD100

The range of naturally occurring variation in the ability of Bdellovibrio strains to attack and kill Gram-negative bacteria is not well understood. Defining phenotypic and associated genotypic variation among Bdellovibrio will clarify how divergent lineages within this genus impact microbial communities and will inform development of predatory bacteria as biocontrol agents to combat bacterial infections. We isolated Bdellovibrio sp. NC01 from soil and compared its genome and predatory phenotypes to B. bacteriovorus type strain HD100. Based on analysis of 16S rRNA gene sequences and average amino acid identity, NC01 belongs to a different species than HD100. Genome-wide comparisons and individual gene analyses indicated that eight NC01 genome regions were likely acquired by horizontal gene transfer (HGT), further supporting an important role for HGT in Bdellovibrio genome evolution. Within these regions, multiple protein-coding sequences were assigned predicted functions related to transcriptional regulation and transport; however, most were annotated as hypothetical proteins. Compared to HD100, NC01 has a limited prey range and kills E. coli ML35 less efficiently. Whereas HD100 drastically reduces the ML35 population and then maintains low prey population density, NC01 causes a smaller reduction in ML35, after which the prey population recovers, accompanied by a decrease in NC01. In addition, NC01 forms turbid plaques on lawns of ML35, in contrast to clear plaques formed by HD100. Characterizing variation in interactions between Bdellovibrio and Gram-negative bacteria, such as observed with NC01 and HD100, is important for understanding the ecological significance of predatory bacteria and evaluating their effectiveness in clinical applications. ImportanceBdellovibrio attack and kill Gram-negative bacteria; however, not all Bdellovibrio strains are equally efficient at killing the same Gram-negative bacteria. Defining how Bdellovibrio vary in predatory phenotypes and how this phenotypic variation relates to differences in genotype is important for understanding the ecological significance of predatory bacteria and evaluating their effectiveness in biocontrol of bacterial infections. We determined variation in genome content and predatory phenotypes, including prey range and predation efficiency, between Bdellovibrio sp. NC01 isolated from soil and B. bacteriovorus type strain HD100. NC01 is phylogenetically divergent from HD100, with eight regions of unique gene content likely acquired by horizontal gene transfer. Compared to HD100, the prey range of NC01 is limited, and it was less efficient at killing a strain of E. coli. These differences may have important implications for how each strain impacts microbial communities in different environments and for the effectiveness of each in clinical applications.

microbiology↗

bioRxiv2017

Harmonization of cortical thickness measurements across scanners and sites

With the proliferation of multi-site neuroimaging studies, there is a greater need for handling non-biological variance introduced by differences in MRI scanners and acquisition protocols. Such unwanted sources of variation, which we refer to as \"scanner effects\", can hinder the detection of imaging features associated with clinical covariates of interest and cause spurious findings. In this paper, we investigate scanner effects in two large multi-site studies on cortical thickness measurements, across a total of 11 scanners. We propose a set of general tools for visualizing and identifying scanner effects that are generalizable to other modalities. We then propose to use ComBat, a technique adopted from the genomics literature and recently applied to diffusion tensor imaging data, to combine and harmonize cortical thickness values across scanners. We show that ComBat removes unwanted sources of scan variability while simultaneously increasing the power and reproducibility of subsequent statistical analyses. We also show that ComBat is useful for combining imaging data with the goal of studying life-span trajectories in the brain.

neuroscience↗