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Black, B.

Publications and source records attributed to Black, B..

8 recordsLinked to original sources

Protein-only centromeric chromatin assembly streamlines human artificial chromosome formation

Human artificial chromosomes (HACs) are inherited through cell divisions alongside natural chromosomes, serving as tools for interrogating chromosomal elements and as vectors for large genetic cargoes (1-5). Despite recent progress (6-8), large (i.e., multiple Mb) HACs have not been reported. Further, HAC formation via epigenetic seeding of centromeric chromatin currently requires prior engineering of recipient human cells (6-8), hampering their potential deployment in many useful cell types. Here, we designed, built, and delivered to human cells a 2 Mb HAC construct that is [~]3 times larger than the prior generation. We also report a robust epigenetic centromere seeding approach that initiates immediately upon delivery to the human cell cytoplasm and bypasses genetic engineering of target cells. The HACs are then faithfully inherited in the absence of selection. Thus, formation of functional centromeric chromatin in the same cell cycle of HAC delivery drives high efficiency HAC formation. TeaserA system for efficient protein-only centromere seeding permits visualizing the first step of HAC formation

synthetic biology↗

Lineage Tracing Reveals a Shared Cellular Origin for Supraclavicular Brown and Inguinal Beige Adipocytes

The metabolic importance of brown adipose tissue (BAT) has been recognized, but the origins of BAT, particularly supraclavicular BAT (scBAT), are less clear. Here, we traced the origin of scBAT to Mef2c-anterior heart field (AHF)-marked cells. Mef2c-AHF-marked cells isolated from scBAT can spontaneously differentiate into brown adipocytes, express mesenchymal stem cell markers, and can be isolated from the stromal-vascular fraction (SVF) of wild-type scBAT as [CD31-CD45-SCA-1+CD29+CD34-CD24-] (CD34-) cells. Mef2c-AHF-marked cells substantially overlap with Prrx1-marked cells in scBAT, which also contribute to beige adipocytes in inguinal white adipose tissue (iWAT) during development. Similarly, CD34- cells isolated from the SVF of iWAT can spontaneously differentiate into beige adipocytes in vitro. Using intersectional tracing, we revealed that common progenitors of Mef2c-AHF- and Prrx1-marked cells in scBAT emerge from the developing heart. Thus, these studies reveal a common origin for scBAT and cardiac tissue and a close lineage relationship between scBAT and beige adipocytes of the iWAT.

developmental biology↗

Glutathione metabolism impacts fungal virulence by modulating the redox environment

Pathogens must overcome the hostile conditions of their hosts to survive, proliferate and cause disease. The fungal pathogen Cryptococcus neoformans is particularly adept at mitigating challenges in the host environment and has developed an arsenal of defense mechanisms to evade oxidative and nitrosative agents released by phagocytic cells during infection. Among these mechanisms, melanin production is crucially linked to both fungal virulence and defense against harmful free radicals that facilitate host innate immunity and clearance of invading pathogens. Here, we employed comparative global metabolomics to demonstrate that metabolism of the antioxidant glutathione (GSH) is inextricably linked to redox-active processes that facilitate melanin production, and that genetic perturbations in GSH biosynthesis affect fungal growth and virulence in a murine model of cryptococcosis. Furthermore, we show that disruption of GSH biosynthesis leads to overaccumulation of reducing and acidic compounds in the extracellular environment of mutant cells. These changes not only impacted melanin formation but also influenced titan cell and urease production as well as survival in macrophages. Overall, these findings highlight the importance of redox homeostasis and metabolic compensation in pathogen adaptation to the host environment and suggest new avenues for antifungal drug development.

microbiology↗

The interplay between electron transport chain function and iron regulatory factors influences melanin formation in Cryptococcus neoformans

Mitochondrial functions are critical for the ability of the fungal pathogen Cryptococcus neoformans to cause disease. However, mechanistic connections between key functions such as the mitochondrial electron transport chain (ETC) and virulence factor elaboration have yet to be thoroughly characterized. Here, we observed that inhibition of ETC complex III suppressed melanin formation, a major virulence factor. This inhibition was partially blocked upon loss of Cir1 or HapX, two transcription factors that regulate iron acquisition and use. In this regard, loss of Cir1 derepresses the expression of laccase genes as a potential mechanism to restore melanin, while HapX may condition melanin formation by controlling oxidative stress. We hypothesize that ETC dysfunction alters redox homeostasis to influence melanin formation. Consistent with this idea, inhibition of growth by hydrogen peroxide was exacerbated in the presence of the melanin substrate L-DOPA. Additionally, loss of the mitochondrial chaperone Mrj1, which influences the activity of ETC complex III and reduces ROS accumulation, also partially blocked antimycin A inhibition of melanin. The phenotypic impact of mitochondrial dysfunction was consistent with RNA-Seq analyses of WT cells treated with antimycin A or L-DOPA, or cells lacking Cir1 that revealed influences on transcripts encoding mitochondrial functions (e.g., ETC components and proteins for Fe-S cluster assembly). Overall, these findings reveal mitochondria-nuclear communication via ROS and iron regulators to control virulence factor production in C. neoformans. IMPORTANCEThere is a growing appreciation of the importance of mitochondrial functions and iron homeostasis in the ability of fungal pathogens to sense the vertebrate host environment and cause disease. Many mitochondrial functions such as heme and iron-sulfur cluster biosynthesis, and the electron transport chain (ETC), are dependent on iron. Connections between factors that regulate iron homeostasis and mitochondrial activities are known in model yeasts and are emerging for fungal pathogens. In this study, we identified connections between iron regulatory transcription factors (e.g., Cir1 and HapX) and the activity of complex III of the ETC that influence the formation of melanin, a key virulence factor in the pathogenic fungus Cryptococcus neoformans. This fungus causes meningoencephalitis in immunocompromised people and is a major threat to the HIV/AIDS population. Thus, understanding how mitochondrial functions influence virulence may support new therapeutic approaches to combat diseases caused by C. neoformans and other fungi.

microbiology↗

ADSC-EVs modulate primary human macrophages to an anti-inflammatory phenotype in vitro

BackgroundEVs released by adipose derived stem cells (ADSCs) have shown promise as a therapeutic for tissue repair and regeneration because of their purported immune-regulatory properties. In this capacity, ADSC-EVs could be beneficial in improving graft retention rates for autologous fat grafting (AFG) post-mastectomy as, currently, grafted tissue rates are reported to be variable and low. Enriching grafted tissue with ADSC-EVs may improve retention rates by modulating macrophages resident within both the breast and lipoaspirate. We aimed to identify key macrophage phenotypes that are modulated by ADSC-EVs in vitro. MethodsADSCs were isolated from lipoaspirates of women undergoing AFG and characterised by flow cytometry and differentiation potential. ADSC-EVs were isolated from cell culture media and characterised by tunable resistive pulse sensing (TRPS), transmission electron microscopy (TEM), and Western blot. Primary monocyte-derived macrophages were polarized to an M1-like (GM-CSF, IFN{gamma}) or M2-like phenotype (M-CSF, IL-4) or maintained (M0-like; M-CSF) and, at the time of polarization, ADSC-EVs were co-cultured with macrophages for 48 hrs. Flow cytometry coupled with high-dimensional analysis was used to cluster macrophages post co-culture. A manual gating strategy was generated to recapitulate these clusters and was applied to a repeat experimental run. Both runs were analysed to examine the prevalence of each cluster, representing a unique macrophage phenotype, with and without ADSC-EVs. ResultsFollowing the addition of ADSC-EVs, M0-like macrophages demonstrated a reciprocal shift of cell distribution from a cluster defined as having a high inflammatory profile (CD36+++CD206+++CD86+++; 38.6{+/-}14.8% of M1-like macrophages without ADSC-EVs; 16.5{+/-}7.0% with ADSC-EVs; p<0.0001) to a cluster with a lower inflammatory profile (CD36+CD206+CD86+; 16.6{+/-}11.2% to 35{+/-}21.5%; p<0.05). There was no shift in M2-like clusters following treatment with ADSC-EVs. ConclusionsADSC-EVs are complex regulators of macrophage phenotype that can shift macrophages away from a heightened pro-inflammatory state.

molecular biology↗

Single Cell Epigenetics Reveal Cell-Cell Communication Networks in Normal and Abnormal Cardiac Morphogenesis

Communication between myriad cell types during organ formation underlies proper morphogenesis1. In cardiac development, reciprocal signaling between mesoderm progenitors and neural crest cells is essential, and its disruption leads to congenital heart malformations, the most common human birth defect. However, mechanistic interrogation of temporal gene networks and cis regulatory elements in this crosstalk is limited2,3. Here, we integrated single cell chromatin accessibility and transcriptomics to establish an unbiased and temporal epigenomic map of the embryonic mouse heart over multiple stages and developed machine learning models to predict enhancers for heart and neural crest. We leveraged these advances to determine the consequences of dysregulated signaling at single cell resolution caused by deletion of TBX1, a transcription factor that causes morphogenetic defects of the cardiac outflow tract in humans and functions non-cell autonomously in cardiac mesodermal progenitors to direct pharyngeal neural crest differentiation4-6. Loss of Tbx1 in mice led to broad closure of chromatin regions enriched in cardiac progenitor transcription factor motifs within a narrow subset of cardiac mesodermal progenitors and correlated with diminished expression of numerous members of the fibroblast growth factor, retinoic acid, Notch and Semaphorin pathways. In affected progenitors, ectopic accessibility and expression of posterior heart field factors in the anterior heart field suggested impaired axial patterning. In response, a subset of cardiac neural crest cells displayed epigenomic and transcriptional defects, indicating a failure of differentiation corresponding to dysregulation of the anterior-posterior gradient of pharyngeal Hox gene expression. This study demonstrates that single-cell genomics and machine learning can generate a mechanistic model for how disruptions in cell communication selectively affect spatiotemporally dynamic regulatory networks in cardiogenesis.

developmental biology↗

Estimating the rate of cell type degeneration from epigenetic sequencing of cell-free DNA

Circulating cell-free DNA (cfDNA) in the bloodstream originates from dying cells and is a promising non-invasive biomarker for cell death. Here, we develop a method to accurately estimate the relative abundances of cell types contributing to cfDNA. We leverage the distinct DNA methylation profile of each cell type throughout the body. Decomposing the cfDNA mixture is difficult, as fragments from relevant cell types may only be present in a small amount. We propose an algorithm, CelFiE, that estimates cell type proportion from both whole genome cfDNA input and reference data. CelFiE accommodates low coverage data, does not rely on CpG site curation, and estimates contributions from multiple unknown cell types that are not available in reference data. In simulations we show that CelFiE can accurately estimate known and unknown cell type of origin of cfDNA mixtures in low coverage and noisy data. Simulations also demonstrate that we can effectively estimate cfDNA originating from rare cell types composing less than 0.01% of the total cfDNA. To validate CelFiE, we use a positive control: cfDNA extracted from pregnant and non-pregnant women. CelFiE estimates a large placenta component specifically in pregnant women (p = 9.1 x 10-5). Finally, we use CelFiE to decompose cfDNA from ALS patients and age matched controls. We find increased cfDNA concentrations in ALS patients (p = 3.0 x 10-3). Specifically, CelFiE estimates increased skeletal muscle component in the cfDNA of ALS patients (p = 2.6 x 10-3), which is consistent with muscle impairment characterizing ALS. Quantification of skeletal muscle death in ALS is novel, and overall suggests that CelFiE may be a useful tool for biomarker discovery and monitoring of disease progression.

genomics↗

The effect of number of healthcare visits on study sample selection and prevalence estimates in electronic health record data

IntroductionFew studies have addressed how to select a study sample when using electronic health record (EHR) data.\n\nMethodsYear 2016 EHR data from three health systems was used to examine how alternate definitions of the study sample, based on number of healthcare visits in one year, affected measures of disease period prevalence. Curated collections of ICD-9, ICD-10, and SNOMED codes were used to define three diseases.\n\nResultsAcross all health systems, increasing the minimum required number of visits to be included in the study sample monotonically increased crude period prevalence estimates. The rate at which prevalence estimates increased with number of visits varied across sites and across diseases.\n\nConclusionsWhen using EHR data authors must carefully describe how a study sample is identified and report outcomes for a range of sample definitions, so that others can assess the sensitivity of reported results to sample definition in EHR data.

epidemiology↗