Search bioRxiv⌕ Search

Biology subjects

Hamilton, A. M.

Publications and source records attributed to Hamilton, A. M..

11 recordsLinked to original sources

Indigenous gut microbes modulate neural cell state and neurodegenerative disease susceptibility

The native microbiome influences a plethora of host processes, including neurological function. However, its impacts on diverse brain cell types remains poorly understood. Here, we performed single nucleus RNA sequencing on hippocampi from wildtype, germ-free mice and reveal the microbiome-dependent transcriptional landscape across all major neural cell types. We found conserved impacts on key adaptive immune and neurodegenerative transcriptional pathways, underscoring the microbiomes contributions to disease-relevant processes. Mono-colonization with select indigenous microbes identified species-specific effects on the transcriptional state of brain myeloid cells. Colonization by Escherichia coli induced a distinct adaptive immune and neurogenerative disease-associated cell state, suggesting increased disease susceptibility. Indeed, E. coli exposure in the 5xFAD mouse model resulted in exacerbated cognitive decline and amyloid pathology, demonstrating its sufficiency to worsen Alzheimers disease-relevant outcomes. Together, these results emphasize the broad, species-specific, microbiome-dependent consequences on neurological transcriptional state and highlight the capacity of specific microbes to modulate disease susceptibility. HighlightsO_LIThe microbiome impacts the transcriptional landscape of all major brain cell types. C_LIO_LIDiscrete microbes specifically modulate resident myeloid cell status. C_LIO_LIGut E. coli triggers dynamic transcriptional responses across neural cell types. C_LIO_LIExposure to E. coli exacerbates behavioral and cellular pathologies in 5xFAD mice. C_LI

neuroscience↗

Diet-microbiome interactions promote enteric nervous system resilience following spinal cord injury

Spinal cord injury (SCI) results in a plethora of physiological dysfunctions across all body systems, including intestinal dysmotility and atrophy of the enteric nervous system (ENS). Typically, the ENS has capacity to recover from perturbation, so it is unclear why intestinal pathophysiologies persist after traumatic spinal injury. With emerging evidence demonstrating SCI-induced alterations to the gut microbiome composition, we hypothesized that modulation of the gut microbiome could contribute to enteric nervous system recovery after injury. Here, we show that intervention with the dietary fiber, inulin prevents ENS atrophy and limits SCI-induced intestinal dysmotility in mice. However, SCI-associated microbiomes and exposure to specific SCI-sensitive gut microbes are not sufficient to modulate injury-induced intestinal dysmotility. Intervention with microbially-derived short-chain fatty acid (SCFA) metabolites prevents ENS dysfunctions and phenocopies inulin treatment in injured mice, implicating these microbiome metabolites in protection of the ENS. Notably, inulin-mediated resilience is dependent on signaling by the cytokine IL-10, highlighting a critical diet-microbiome-immune axis that promotes ENS resilience following SCI. Overall, we demonstrate that diet and microbially-derived signals distinctly impact recovery of the ENS after traumatic spinal injury. This protective diet-microbiome-immune axis may represent a foundation to uncover etiological mechanisms and future therapeutics for SCI-induced neurogenic bowel.

neuroscience↗

Flipped elevational pattern of pollination mode in tropical versus temperate Americas

AimAbiotic factors, such as temperature and precipitation, vary markedly along elevational gradients, and can in turn, shape key biotic interactions, such as herbivory and pollination. Despite the well-known effects of climatic conditions on pollinator activity and efficiency, we know little about the role of climate in pollinator shifts in animal-pollinated plants at broad geographic scales. Here we investigate patterns of altitudinal turnover in pollination mode across the Americas, with a focus on the most common pollinators (bees and hummingbirds). Specifically, we test Crudens classic hypothesis that plants are likely to shift to bird pollination at high elevations because endothermic pollinators are more reliable in cold and rainy conditions. LocationAmericas Time periodCurrent Major taxa studied2232 plant taxa from 26 clades MethodsWe collated information on pollination mode (1262 insect-pollinated, 970 vertebrate-pollinated) for the study taxa from the literature, and used GBIF occurrence data to estimate median distributions and bioclimatic attributes of each species. We used (phylogenetic) GLMMs to test for associations between pollination mode and ecogeographic variables. ResultsTo our surprise, we found flipped elevational patterns of insect- and vertebrate-pollination strategies across latitudes, with vertebrate pollination dominating at high elevations in the tropics, but not in temperate zones. We term this pattern the Tropical flip. We recovered a strong association of vertebrate-pollinated plants with moist, forested habitats across latitudes, while insect-pollinated plants were often found in cool and dry or warm and moist conditions. Main conclusionsAltitudinal gradients in temperature may not serve as a universal explanation for shifts among endothermic insect and ectothermic vertebrate pollination. Instead, strong abiotic niche differentiation among insect- and vertebrate-pollinated plants, along with competition for pollination niche space, has likely shaped the tropical flip.

ecology↗

Molecular imaging reveals a high degree of cross-seeding of spontaneous metastases in a novel mouse model of synchronous bilateral breast cancer

Synchronous bilateral breast cancer (SBBC) patients present with cancer in both breasts at the time of diagnosis or within a short time interval. They show higher rates of metastasis and lower overall survival compared to women with unilateral breast cancer. However, the lack of a preclinical model has led to a dearth in knowledge regarding the patterns of SBBC metastasis. Here we established an SBBC model and used molecular imaging to visualize the development of spontaneous lung metastases arising from each primary tumor. We engineered human breast cancer cells to express either Akaluc or Antares2 for bioluminescence imaging (BLI), and tdTomato or zsGreen for ex vivo fluorescence microscopy. Both cell populations were implanted into contralateral mammary fat pads of mice (n=10) and BLI was performed weekly for up to day 29 (n=3), 38 (n=4), or 42 (n=3). Signal from both Antares2 and Akaluc was first detected in the lungs on day 28 and was present in 9 of 10 mice at endpoint. Ex vivo fluorescence microscopy of the lungs revealed that for mice sacrificed on day 38, a significant percentage of micrometastases were composed of cancer cells from both primary tumors (mean 37%; range 27% to 45%), while two mice sacrificed on day 42 showed percentages of 51% and 70%. These results reveal a high degree of metastatic cross-seeding which may contribute to faster metastatic growth and intratumoral heterogeneity. We posit our work will help understand treatment resistance and optimal planning of treatment for SBBC patients.

cancer biology↗

DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensing

Targeted mRNA expression panels, measuring up to 800 genes, are used in academic and clinical settings due to low cost and high sensitivity for archived samples. Most samples assayed on targeted panels originate from bulk tissue comprised of many cell types, and cell-type heterogeneity confounds biological signals. Reference-free methods are used when cell-type-specific expression references are unavailable, but limited feature spaces render implementation challenging in targeted panels. Here, we present DeCompress, a semi-reference-free deconvolution method for targeted panels. DeCompress leverages a reference RNA-seq or microarray dataset from similar tissue to expand the feature space of targeted panels using compressed sensing. Ensemble reference-free deconvolution is performed on this artificially expanded dataset to estimate cell-type proportions and gene signatures. In simulated mixtures, four public cell line mixtures, and a targeted panel (1199 samples; 406 genes) from the Carolina Breast Cancer Study, DeCompress recapitulates cell-type proportions with less error than reference-free methods and finds biologically relevant compartments. We integrate compartment estimates into cis-eQTL mapping in breast cancer, identifying a tumor-specific cis-eQTL for CCR3 (C-C Motif Chemokine Receptor 3) at a risk locus. DeCompress improves upon reference-free methods without requiring expression profiles from pure cell populations, with applications in genomic analyses and clinical settings.

bioinformatics↗

Non-canonical Hedgehog signaling regulates spinal cord and muscle regeneration

Inducing regeneration in injured spinal cord represents one of modern medicine greatest challenges. Research from a variety of model organisms indicates that Hedgehog (Hh) signaling may be a useful target to drive regeneration. However, the mechanisms of Hedgehog signaling-mediated tissue regeneration remain unclear. Here we examined Hh signaling during post-amputation tail regeneration in Xenopus laevis larvae. We found that while Smoothened (Smo) activity is essential for proper spinal cord and skeletal muscle regeneration, transcriptional activity of the canonical Hh effector Gli is repressed immediately following amputation, and inhibition of Gli1/2 expression or transcriptional activity has minimal effects on regeneration. In contrast, we demonstrate that protein kinase A (PKA) is necessary for regeneration of both muscle and spinal cord, in concert with and independent of Smo respectively, and that its downstream effector CREB is activated in spinal cord following amputation. Our findings indicate that non-canonical mechanisms of Hh signaling are necessary for spinal cord and muscle regeneration.

neuroscience↗

Development of Magnetic Particle Imaging (MPI) for Cell Tracking and Detection

IntroductionMagnetic particle imaging (MPI) is a new imaging modality that sensitively and specifically detects superparamagnetic iron oxide nanoparticles (SPIONs) within a sample. SPION-based MRI cell tracking has very high sensitivity, but low specificity and quantification of iron labeled cells is difficult. MPI cell tracking could overcome these challenges. MethodsMDM-AB-231BR cells labeled with MPIO, mice were intracardially injected with either 2.5 x 105 or 5.0 x 105 cells. MRI was performed in vivo the same day at 3T using a bSSFP sequence. After mice were imaged ex vivo with MPI. In a second experiment Mice received an intracardiac injection of either 2.5 x 10 5 or 5 x 10 4 MPIO-labeled 231BR cells. In a third experiment, mice were injected with 5 x 10 4 4T1BR cells, labelled with either MPIO or the SPION Vivotrax. MRI and MPI was performed in vivo. ResultsSignal from MPI and signal voids from MRI both showed more iron content in mice receiving an injection of 5.0 x 105 cells than the 2.5 x 105 injection. In the second experiment, Day 0 MRI showed signal voids and MPI signal was detected in all mouse brains. The MPI signal and iron content measured in the brains of mice that were injected with 2.5 x 10 5 cells were approximately four times greater than in brains injected with 5 x 10 4 cells. In the third experiment, in vivo MRI was able to detect signal voids in the brains of mice injected with Vivotrax and MPIO, although voids were fainter in Vivotrax labeled cells. In vivo MPI signal was only detectable in mice injected with MPIO-labeled cells. ConclusionThis is the first example of the use of MPIO for cell tracking with MPI. With an intracardiac cell injection, approximately 15% of the injected cells are expected to arrest in the brain vasculature. For our lowest cell injection of 5.0 x 104 cells this is [~]10000 cells.

biophysics↗

An approach for normalization and quality control for NanoString RNA expression data

The NanoString RNA counting assay for formalin-fixed paraffin embedded samples is unique in its sensitivity, technical reproducibility, and robustness for analysis of clinical and archival samples. While commercial normalization methods are provided by NanoString, they are not optimal for all settings, particularly when samples exhibit strong technical or biological variation or where housekeeping genes have variable performance across the cohort. Here, we develop and evaluate a more comprehensive normalization procedure for NanoString data with steps for quality control, selection of housekeeping targets, normalization, and iterative data visualization and biological validation. The approach was evaluated using a large cohort (N = 1,649) from the Carolina Breast Cancer Study, two cohorts of moderate sample size (N = 359 and 130), and a small published dataset (N = 12). The iterative process developed here eliminates technical variation (e.g. from different study phases or sites) more reliably than the three other methods, including NanoStrings commercial package, without diminishing biological variation, especially in long-term longitudinal multi-phase or multi-site cohorts. We also find that probe sets validated for nCounter, such as the PAM50 gene signature, are impervious to batch issues. This work emphasizes that systematic quality control, normalization, and visualization of NanoString nCounter data is an imperative component of study design that influences results in downstream analyses.

genomics↗

Comparing the fate of brain metastatic breast cancer cells in different immune compromised mice with cellular magnetic resonance imaging

Metastasis is the leading cause of mortality in breast cancer patients, with brain metastases becoming increasingly prevalent. Studying this disease is challenging due to the limited experimental models and methods available. Here, we used iron-based cellular MRI to track the fate of a mammary carcinoma cell line (MDA-MB-231-BR) in vivo to characterize the growth of brain metastases in the nude and severely immune-compromised NOD/SCID/ILIIrg-/- (NSG) mouse. Nude and NSG mice received injections of iron-labeled MDA-MB-231-BR cells. Images were acquired with a 3T MR system and assessed for signal voids and metastases. The percentage of signal voids and the number and volume of metastases were quantified. Ex vivo imaging of the liver, histology, and immunofluorescence labeling was performed. On day 0, iron-labeled cells were visualized as signal voids throughout the brain. The percentage of voids decreased significantly between day 0 and endpoint. At endpoint, there was no difference in the number of brain metastases or tumour burden in NSG mice compared to nudes. Tumour volumes in nude mice were significantly larger than in NSG mice. Body images indicated that the NSG mice had metastases in the liver, lungs, and lymph nodes. Characterization of the NSG and nude mouse is necessary to study breast cancer brain metastasis in vivo. Here, we show that the 231BR cell line grew differently in NSG mice compared to nude mice. This work demonstrates the role that imaging can play toward credentialing these models that cannot be done with other in vitro or histopathologic methods alone.

biophysics↗

A Safe Harbor-Targeted CRISPR/Cas9 Homology Independent Targeted Integration (HITI) System for Multi-Modality Reporter Gene-Based Cell Tracking

Imaging reporter genes can provide valuable, longitudinal information on the biodistribution, growth and survival of engineered cells in preclinical models and patients. A translational bottleneck to using reporter genes in patients is the necessity to engineer cells with randomly-integrating vectors. CRISPR/Cas9 targeted knock-in of reporter genes at a genomic safe harbor locus such as adeno-associated virus integration site 1 (AAVS1) may overcome these safety concerns. Here, we built Homology Independent Targeted Integration (HITI) CRISPR/Cas9 minicircle donors for precise AAVS1-targeted simultaneous knock-in of fluorescence, bioluminescence, and MRI (Oatp1a1) reporter genes. Our results showed greater knock-in efficiency at the AAVS1 site using HITI vectors compared to homology-directed repair donor vectors. Characterization of select HITI clones demonstrated functional fluorescence and bioluminescence reporter activity as well as significantly increased Oatp1a1-mediated uptake of the clinically-approved MRI agent gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid. As few as 106 Oatp1a1-expressing cells in a 50 {micro}l subcutaneous injection could be detected in vivo with contrast-enhanced MRI. Contrast-enhanced MRI also improved the conspicuity of both sub-cutaneous and metastatic Oatp1a1-expressing tumours prior to them being palpable or even readily visible on pre-contrast images. Our work demonstrates the first CRISPR/Cas9 HITI system for knock-in of large DNA donor constructs at a safe harbor locus, enabling multi-modal longitudinal in vivo imaging of cells. This work lays the foundation for safer, non-viral reporter gene tracking of multiple cell types.

bioengineering↗

Iron nanoparticle-labeled murine mesenchymal stromal cells in an osteoarthritic model persists and demonstrates anti-inflammatory mechanism of action

Osteoarthritis (OA) is characterized by cartilage degradation and chronic joint inflammation. Mesenchymal stem cells (MSCs) have shown promising results in OA, but their mechanism of action is not fully understood. We hypothesize that MSCs polarize macrophages, which are strongly associated with joint inflammation to more homeostatic sub-types. We tracked ferumoxytol (Feraheme, iron oxide nanoparticle)-labeled murine MSCs (Fe-MSCs) in murine OA joints, and quantified changes to homeostatic macrophages.\n\n10-week-old C57BL/6 male mice (n=5/group) were induced to undergo osteoarthritis by destabilization of medical meniscus (DMM) or sham surgery. 3 weeks post-surgery, mice were injected intra-articularly with either fluorescent dye-(DiR) labeled or DiR+ferumoxytol-labeled (DiR+Fe) bone marrow mesenchymal stem cells (MSC, 50x103 MSCs/mouse) or saline (control), to yield 4 groups (n=5 per group for each timepoint [1, 2 and 4weeks]): i) DMM+Saline; ii) DMM+DiR+Fe-MSC; iii) DMM+DiR MSC; iv) SHAM+DiR+Fe-MSC and saline in contralateral knee. 4 weeks after injection, mice were imaged by MRI, and scored for i) OARSI to determine cartilage damage and ii) immunohistochemical changes in CD206, F480 and Prussian Blue/Sca-1 to detect homeostatic macrophages, total macrophages and ferumoxytol-labeled MSCs respectively.\n\nFerumoxytol-labeled MSCs persisted in DMM knee joints at greater levels than in SHAM-MSC knee joints. We observed no difference in OARSI scores between MSC and vehicle groups. Sca-1 and Prussian Blue co-staining confirmed the ferumoxytol label resides in MSCs, although some ferumoxytol label was detected in proximity to MSCs in macrophages, likely due to phagocytosis of apoptotic MSCs, increasing functionality of these macrophages through MSC efferocytosis. We showed decreased MRI synovitis scores in MSC-treated compared to control animals. For the first time we show that MSC-treated OA mice had increased macrophage infiltration (p<0.08) with an increased proportion of CD206+ (homeostatic) macrophages (p<0.01), supporting our hypothesis that MSCs modulate synovial inflammation.

cell biology↗