Biology subjects

Zhou, Z.

Publications and source records attributed to Zhou, Z..

At least 451 records · Page 25Linked to original sources

bioRxiv2019

VIBRANT: Automated recovery, annotation and curation of microbial viruses, and evaluation of virome function from genomic sequences

BackgroundViruses are central to microbial community structure in all environments. The ability to generate large metagenomic assemblies of mixed microbial and viral sequences provides the opportunity to tease apart complex microbiome dynamics, but these analyses are currently limited by the tools available for analyses of viral genomes and assessing their metabolic impacts on microbiomes. DesignHere we present VIBRANT, the first method to utilize a hybrid machine learning and protein similarity approach that is not reliant on sequence features for automated recovery and annotation of viruses, determination of genome quality and completeness, and characterization of virome function from metagenomic assemblies. VIBRANT uses neural networks of protein signatures and a novel v-score metric that circumvents traditional boundaries to maximize identification of lytic viral genomes and integrated proviruses, including highly diverse viruses. VIBRANT highlights viral auxiliary metabolic genes and metabolic pathways, thereby serving as a user-friendly platform for evaluating virome function. VIBRANT was trained and validated on reference virus datasets as well as microbiome and virome data. ResultsVIBRANT showed superior performance in recovering higher quality viruses and concurrently reduced the false identification of non-viral genome fragments in comparison to other virus identification programs, specifically VirSorter and VirFinder. When applied to 120,834 metagenomically derived viral sequences representing several human and natural environments, VIBRANT recovered an average of 94.5% of the viruses, whereas VirFinder and VirSorter achieved less powerful performance, averaging 48.1% and 56.0%, respectively. Similarly, VIBRANT identified more total viral sequence and proteins when applied to real metagenomes. When compared to PHASTER and Prophage Hunter for the ability to extract integrated provirus regions from host scaffolds, VIBRANT performed comparably and even identified proviruses that the other programs did not. To demonstrate applications of VIBRANT, we studied viromes associated with Crohns Disease to show that specific viral groups, namely Enterobacteriales-like viruses, as well as putative dysbiosis associated viral proteins are more abundant compared to healthy individuals, providing a possible viral link to maintenance of diseased states. ConclusionsThe ability to accurately recover viruses and explore viral impacts on microbial community metabolism will greatly advance our understanding of microbiomes, host-microbe interactions and ecosystem dynamics.

bioinformatics↗

bioRxiv2019

Analysis of the human oral microbiome from modern and historical samples with SPARSE andEToKi

We have recently developed bioinformatic tools to accurately assign metagenomic sequence reads to microbial taxa: SPARSE [1] for probabilistic, taxonomic classification of sequence reads, EToKi [2] for assembling and polishing genomes from short read sequences, and GrapeTree [3], a graphic visualizer of genetic distances between large numbers of genomes. Together, these methods support comparative analyses of genomes from ancient skeletons and modern humans [2,4]. Here we illustrate these capabilities with 784 samples from historical dental calculus, modern saliva and modern dental plaque. The analyses revealed 1591 microbial species within the oral microbiome. We anticipated that the oral complexes of Socransky et al. [5] would predominate among taxa whose frequencies differed by source. However, although some species discriminated between sources, we could not confirm the existence of the complexes. The results also illustrate further functionality of our pipelines with two species that are associated with dental caries, Streptococcus mutans and Streptococcus sobrinus. They were rare in historical dental calculus but common in modern plaque, and even more common in saliva. Reconstructed draft genomes of these two species from metagenomic samples in which they were abundant were combined with modern public genomes to provide a detailed overview of their core genomic diversity.

microbiology↗

bioRxiv2019

Genome diversification in globally distributed novel marine Proteobacteria is linked to environmental adaptation

Proteobacteria constitute the most diverse and abundant group of microbes on Earth. In productive marine environments like deep-sea hydrothermal systems, Proteobacteria have been implicated in autotrophy coupled to sulfur, methane, and hydrogen oxidation, sulfate reduction, and denitrification. Beyond chemoautotrophy, little is known about the ecological significance of novel Proteobacteria that are globally distributed and active in hydrothermal systems. Here we apply multi-omics to characterize 51 metagenome-assembled genomes from three hydrothermal vent plumes in the Pacific and Atlantic Oceans that are affiliated with nine novel Proteobacteria lineages. Metabolic analyses revealed these organisms to contain a diverse functional repertoire including chemolithotrophic ability to utilize sulfur and C1 compounds, and chemoorganotrophic ability to utilize environment-derived fatty acids, aromatics, carbohydrates, and peptides. Comparative genomics with marine and terrestrial microbiomes suggests that lineage-associated functional traits could explain niche specificity. Our results shed light on the ecological functions and metabolic strategies of novel Proteobacteria in hydrothermal systems and beyond, and highlight the relationship between genome diversification and environmental adaptation.

microbiology↗

bioRxiv2019

Glutamatergic and GABAergic neuronal populations in thedorsolateral Periacqueductual Gray have differentfunctional roles in fear conditioning

It is though that only a subset of brain structures can encode emotional states. This can be investigated though a set of properties, including the ability of neurons to respond to a conditioned stimulus (CS) preceding an aversive unconditioned stimulus (US). The dorsolateral periacqueductal gray (dPAG) is a midbrain structure though to have an essential role in coordinating defensive behaviors in response to aversive stimulation. But its ability of dPAG neurons to encode a CS following fear conditioning as not been sufficiently studied.\n\nHere we used calcium imaging by fiber photometry to record the activity of dPAGVGluT2+ and dPAGGAD2+ neuronal populations during unconditioned and conditioned aversive stimulation. Then, following an unconditioned stimulation we performed a retrieval experiment to quantify memory-like responses of dPAG neurons. This shown that whilst both dPAGVGluT2+ and dPAGGAD2+ neuronal populations respond to direct US stimulation, and to CS stimulation during conditioning, only the dPAGVGluT2+ population persisted in responding to the CS stimulation during retrieval. Finally, to better understand dPAGVGluT2+ and dPAGGAD2+ connectivity patterns, we performed a cell specific monosynaptic retrograde rabies virus tracing experiment. This revealed that different patterns of fibers projects to dPAGVGluT2+ and dPAGGAD2+, further complementing our recording showing divergences between PAGVGluT2+ and dPAGGAD2+ populations.

neuroscience↗

bioRxiv2019

A Meta-Analysis of Hippocampal Transcriptional Profiling Studies in a Selectively-Bred Rat Model Provides Converging Evidence with Genetic Sequencing to Implicate Specific Candidate Genes and Pathways in the Liability for Internalizing and Externalizing Psychiatric Disorders

BackgroundFor over 16 years, we have selectively bred rats to show either high or low levels of exploratory activity within a novel environment. These "bred High Responder" (bHR) and "bred Low Responder" (bLR) rats serve as a model for temperamental extremes, exhibiting large differences in many internalizing and externalizing behaviors relevant to mood and substance abuse disorders. MethodsOur study elucidated persistent differences in gene expression related to bHR/bLR phenotype across development and adulthood in the hippocampus, a region critical for emotional regulation. We meta-analyzed eight transcriptional profiling datasets (microarray, RNA-Seq) spanning 43 generations of selective breeding (adult: n=46, P7: n=22, P14: n=49, P21: n=21; all male). We cross-referenced these results with exome sequencing performed on our colony to pinpoint candidates likely to mediate the effect of selective breeding on behavioral phenotype. ResultsGenetic and transcriptional profiling results converged to implicate two genes with previous associations with metabolism and mood: Thyrotropin releasing hormone receptor and Uncoupling protein 2. Our results also highlighted bHR/bLR functional differences in the hippocampus, including a network essential for neurodevelopmental programming, proliferation, and differentiation, containing hub genes Bone morphogenetic protein 4 and Marker of proliferation ki-67. Finally, we observed differential expression related to microglial activation, which is important for synaptic pruning, including two genes within implicated chromosomal regions: Complement C1q A chain and Milk fat globule-EGF factor 8. ConclusionThese candidate genes and functional pathways have the capability to direct bHR/bLR rats along divergent developmental trajectories and promote a widely different reactivity to the environment.

neuroscience↗

bioRxiv2019

Genome and community-level interaction insights on wide carbon utilizing and element cycling function of Hydrothermarchaeota from hydrothermal sediment

Hydrothermal vents release reduced compounds and small organic carbons into surrounding seawaters, providing essential substrates for microbial-derived biosynthesis and bioenergy transformations. Despite the wide distribution of Marine Benthic Group-E archaea (referred to as Hydrothermarchaeota) in hydrothermal environments, little is known on their genome blueprints and ecofunctions. Here, we studied four relatively high-completeness (> 80%) metagenome-assembled genomes (MAGs) from a black smoker chimney and surrounding sulfide sediments in the Mid-Atlantic Ridge of the South Atlantic Ocean (BSmoChi-MAR) as well as publicly available datasets. Comparative genomics suggest that Hydrothermarchaeota members have versatile carbon metabolism, including assimilating proteins, lactate and acetate, degrading aromatics anaerobically, oxidizing C1 compounds (CO, formate, and formaldehyde), utilizing methyl-compounds, and incorporating CO2 by tetrahydromethanopterin-based Wood-Ljungdahl (WL) pathway and Calvin-Benson-Bassham (CBB) cycle with type III Ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO). They could oxidize sulfur, arsenic, and hydrogen, and respire anaerobically via sulfate reduction and denitrification based on genomic evidence. The redundancy of carbon utilizing and element cycling functions, and the interactive processes of syntrophic and sequential utilization of substrates from community-level metabolic prediction, enable wide accessibility of carbon and energy sources to microorganisms. Hydrothermarchaeota members derived important functional components from the community through lateral gene transfer, and became clade-distinctive on genome content, which might serve as a niche-adaptive strategy to metabolize potential heavy metals, C1 compounds, and reduced sulfur compounds.\n\nImportanceThis study provides comprehensive metabolic insights on Hydrothermarchaeota from comparative genomics, evolution and community-level aspects. Hydrothermarchaeota synergistically participates in a wide range of carbon utilizing and element cycling processes with other microbes in the community. We expand the current understanding of community interactions within hydrothermal sediment environments, suggesting that microbial interactions driven by functions are essential to nutrient and element cycling.

ecology↗

bioRxiv2019

METABOLIC: A scalable high-throughput metabolic and biogeochemical functional trait profiler based on microbial genomes

BackgroundAdvances in microbiome science are being driven in large part due to our ability to study and infer microbial ecology from genomes reconstructed from mixed microbial communities using metagenomics and single-cell genomics. Such omics-based techniques allow us to read genomic blueprints of microorganisms, decipher their functional capacities and activities, and reconstruct their roles in biogeochemical processes. Currently available tools for analyses of genomic data can annotate and depict metabolic functions to some extent, however, no standardized approaches are currently available for the comprehensive characterization of metabolic predictions, metabolite exchanges, microbial interactions, and contributions to biogeochemical cycling. ResultsWe present METABOLIC (METabolic And BiogeOchemistry anaLyses In miCrobes), a scalable software to advance microbial ecology and biogeochemistry using genomes at the resolution of individual organisms and/or microbial communities. The genome-scale workflow includes annotation of microbial genomes, motif validation of biochemically validated conserved protein residues, identification of metabolism markers, metabolic pathway analyses, and calculation of contributions to individual biogeochemical transformations and cycles. The community-scale workflow supplements genome-scale analyses with determination of genome abundance in the community, potential microbial metabolic handoffs and metabolite exchange, and calculation of microbial community contributions to biogeochemical cycles. METABOLIC can take input genomes from isolates, metagenome-assembled genomes, or from single-cell genomes. Results are presented in the form of tables for metabolism and a variety of visualizations including biogeochemical cycling potential, representation of sequential metabolic transformations, and community-scale metabolic networks using a newly defined metric MN-score (metabolic network score). METABOLIC takes [~]3 hours with 40 CPU threads to process [~]100 genomes and metagenomic reads within which the most compute-demanding part of hmmsearch takes [~]45 mins, while it takes [~]5 hours to complete hmmsearch for [~]3600 genomes. Tests of accuracy, robustness, and consistency suggest METABOLIC provides better performance compared to other software and online servers. To highlight the utility and versatility of METABOLIC, we demonstrate its capabilities on diverse metagenomic datasets from the marine subsurface, terrestrial subsurface, meadow soil, deep sea, freshwater lakes, wastewater, and the human gut. ConclusionMETABOLIC enables consistent and reproducible study of microbial community ecology and biogeochemistry using a foundation of genome-informed microbial metabolism, and will advance the integration of uncultivated organisms into metabolic and biogeochemical models. METABOLIC is written in Perl and R and is freely available at https://github.com/AnantharamanLab/METABOLIC under GPLv3.

bioinformatics↗

bioRxiv2019

Carbendazim-resistance associated β2-tubulin substitutions increase deoxynivalenol biosynthesis by reducing the interaction between β2-tubulin and IDH3 in Fusarium graminearum

Microtubule is a well-known structural protein participating in cell division, motility and vesicle traffic. In this study, we found that {beta}2-tubulin, one of the microtubule components, plays an important role in regulating secondary metabolite deoxynivalenol (DON) biosynthesis in Fusarium graminearum by interacting with isocitrate dehydrogenase subunit 3 (IDH3). We found IDH3 negatively regulate DON biosynthesis by reducing acetyl-CoA accumulation in F. graminearum and DON biosynthesis was stimulated by exogenous acetyl-CoA. In addition, the expression of IDH3 significantly decreased in the carbendazim-resistant mutant nt167 (Fg{beta} F167Y). Furthermore, we found that carbendazim-resistance associated {beta}2-tubulin substitutions reducing the interaction intensity between {beta}2-tubulin and IDH3. Interestingly, we demonstrated that {beta}2-tubulin inhibitor carbendazim can disrupt the interaction between {beta}2-tubulin and IDH3. The decreased interaction intensity between {beta}2-tubulin and IDH3 resulted in the decreased expression of IDH3, which can cause the accumulation of acetyl-CoA, precursor of DON biosynthesis in F. graminearum. Thus, we revealed that carbendazim-resistance associated {beta}2-tubulin substitutions or carbendazim treatment increases DON biosynthesis by reducing the interaction between {beta}2-tubulin and IDH3 in F. graminearum. Taken together, the novel findings give the new perspectives of {beta}2-tubulin in regulating secondary metabolism in phytopathogenic fungi.\n\nAuthor SummaryThe deoxynivalenol (DON) biosynthesis is increased in carbendazim-resistant strains in Fusarium graminearum. To date, the molecular mechanism between the carbendazim-resistant substitution and the increased DON production remained elusive. Here we found that acetyl-CoA-associated enzyme IDH3 negatively regulates acetyl-CoA and DON biosynthesis. Moreover, {beta}2 tubulin interacted with IDH3 physically and increase its expression. We further found that carbendazim-resistant substitution in {beta}2 tubulin reducing the interaction between {beta}2 tubulin and IDH3, which resulted in the decreased expression of IDH3. In addition, we demonstrated that carbendazim disrupting the binding between {beta}2 tubulin and IDH3, which also decreases the expression of IDH3. Taken together, our results give a newly insights into the mechanism of {beta}2 tubulin and its carbendazim-resistant substitution in regulating DON biosynthesis.

microbiology↗

bioRxiv2019

Single-cell transcriptomic landscape of cardiac neural crest cell derivatives during embryonic and neonatal development

RationaleCardiac neural crest cells (CNCCs) contribute greatly to cardiovascular development. A thorough understanding of the cell lineages, transcriptomic states and regulatory networks of CNCC derivatives during normal development is essential for deciphering the pathogenesis of CNCC-associated congenital anomalies. However, the transcriptomic landscape of CNCC derivatives during development has not yet been examined at a single-cell resolution.\n\nObjectiveWe sought to systematically characterize the cell lineages, define the developmental chronology and elucidate the transcriptomic dynamics of CNCC derivatives during embryonic and neonatal development.\n\nMethods and ResultsWe performed single-cell transcriptomic sequencing of 34,131 CNCC-derived cells in mouse hearts from eight developmental stages between E10.5 and P7. Through single-cell analyses and single-molecule fluorescence in situ hybridization, we confirmed the presence of CNCC-derived mural cells. Furthermore, we found the transition from CNCC-derived pericytes to microvascular smooth muscle cells, and identified the genes that were significantly regulated during this transition through pseudo-temporal analysis. CNCC-derived neurons first appeared at E10.5, which was earlier than previously recognized. In addition, the CNCC derivatives switched from a proliferative to a quiescent state with the progression of development. Gradual loss of the neural crest molecular signature with development was also observed in the CNCC derivatives. Our data suggested that many CNCC-derivatives had already committed or differentiated to a specific lineage when migrating to the heart. Finally, we characterized some previously unknown subpopulations of CNCC derivatives during development. For example, we found that Penk+ cells, which were mainly localized in outflow tract cushions, were all derived from CNCCs.\n\nConclusionsOur study provides novel insights into the cell lineages, molecular signatures, developmental chronology and state change dynamics of CNCC derivatives during embryonic and neonatal development. Our dataset constitutes a valuable resource that will facilitate future efforts in exploring the role of CNCC derivatives in development and disease.

developmental biology↗

bioRxiv2019

High-throughput sequencing analysis of bacterial diversity in raw and pasteurized goat milk

The aim of this study was to evaluate the microbial composition of both raw and pasteurized goat milk using high-throughput DNA sequencing. This analysis revealed that the dominant phylum found in the raw milk was Proteobacteria, and the dominant genus was Kluyvera; Proteobacteria and Kluyvera constituted up to 67.66% and 28.85% of the total bacteria population, respectively. The microorganisms in goat milk predominantly consist of Gram-negative bacteria. Notably, Akkermansia and Faecalibacterium were identified in goat milk for the first time. In addition, the results also indicate that some bacteria in pasteurized goat milk may exist in a viable but nonculturable (VBNC) state. This study provides a theoretical basis that may aid the community in better understanding bacterial diversity in goat milk. The results of this study will help us to improve the quality and safety of goat milk. ImportanceThe microbial diversity in goat milk and pasteurized goat milk at different refrigeration stages was described. Several bacterial species that have not previously been reported in goat milk were identified, including many VBNC bacteria. The findings provided the necessary microbial information for quality and safety of goat milk and dairy products.

microbiology↗

bioRxiv2019

A cold shock protein from a thermophile bacterium promotes the high-temperature growth of bacteria and fungi through binding to diverse RNA species

High temperatures deleteriously affect cells by damaging cellular structures and changing the behavior of diverse biomolecules, and extensive research about thermophilic microorganisms has elucidated some of the mechanisms that can overcome these effects and allow thriving in high-temperature ecological niches. We here used functional genomics methods to screen out a cold-shock protein (CspL) from a high-productivity lactate producing thermophile strain (Bacillus coagulans strain 2-6) grown at 37{degrees}C and 60{degrees}C. We subsequently made the highly striking finding that transgenic expression of CspL conferred massive increases in high temperature growth of other organisms including E. coli (2.4-fold biomass increase at 45{degrees}C) and the eukaryote S. cerevisiae (a 2.7-fold biomass increase at 34{degrees}C). Pursuing these findings, we used bio-layer interferometry assays to characterize the nucleotide-binding function of CspL in vitro, and used proteomics and RNA-Seq to characterize the global effects of CspL on mRNA transcript accumulation and used RIP-Seq to identify in vivo RNA targets of this nucleotide-binding protein (e.g. rpoE, and rmf, etc.). Finally, we confirmed that a nucleotide-binding-dead variant form of CspL does not have increased growth rates or biomass accumulation effects at high temperatures. Our study thus establishes that CspL can function as a global RNA chaperone.

microbiology↗

bioRxiv2019

Stromal ISLR promotes intestinal regeneration and cancer by suppressing epithelial Hippo signaling

The YAP signaling activation in epithelial cells is essential for intestinal regeneration and tumorigenesis. However, the molecular mechanism linking stromal signals to YAP-mediated intestinal regeneration and tumorigenesis is poorly defined. Here we report a stroma-epithelia YAP signaling axis essential for stromal cells to modulate epithelial cell growth during intestinal regeneration and tumorigenesis. Specifically, upon inflammation and in cancer, an oncogenic transcription factor ETS1 in stromal cells induces expression of a secreted protein ISLR that can directly binds to a transmembrane protocadherin FAT1 on the surface of epithelial cells. This binding suppressed the Hippo signaling by disrupting MST1-FAT1 association, resulting in YAP signaling activation. Deletion of Islr in stromal cells in mice markedly impaired intestinal regeneration, and suppressed tumorigenesis in the colon. Moreover, the expression of stromal cell-specific ISLR and ETS1 significantly increased in inflamed mucosa of human IBD patients and in human colorectal adenocarcinoma, accounting for the epithelial YAP hyperactivation. Collectively, our findings uncovered a molecular mechanism governing signals for communication between stroma and epithelium during tissue regeneration and tumorigenesis.

cancer biology↗

bioRxiv2019

Conjugation-dependent \"gene drives\" harness indigenous bacteria for bioremediation

Engineering bacteria to clean-up oil spills is rapidly advancing but faces regulatory hurdles and environmental concerns. Here, we develop a new technology to harness indigenous soil microbial communities for bioremediation by flooding local populations with catabolic genes for petroleum hydrocarbon degradation. Overexpressing three enzymes (almA, xylE, p450cam) in E.coli led to degradation rates of 60-99% of target hydrocarbon substrates. Mating experiments, fluorescence microscopy and TEM revealed indigenous bacteria could obtain these vectors from E.coli through several mechanisms of horizontal gene transfer (HGT), including conjugation and cytoplasmic exchange through nanotubes. Inoculating petroleum-polluted sediments with E.coli carrying the vector pSF-OXB15-p450camfusion showed that the E.coli die after five days but a variety of bacteria received and carried the vector for over 60 days after inoculation. Within 60 days, the total petroleum hydrocarbon content of the polluted soil was reduced by 46%. Pilot experiments show that vectors only persist in indigenous populations when "useful," disappearing when this carbon source is removed. This approach to remediation could prime indigenous bacteria for degrading pollutants while providing minimal ecosystem disturbance.

synthetic biology↗

bioRxiv2019

Tau Accumulation via Reduced BAG3-mediated Autophagy Is Required for GGGGCC Repeat Expansion-Induced Neurodegeneration

Expansions of trinucleotide or hexanucleotide repeats lead to several neurodegenerative disorders including Huntington disease (HD, caused by the expanded CAG repeats (CAGr) in the HTT gene) and amyotrophic lateral sclerosis (ALS, could be caused by the expanded GGGGCC repeats (G4C2r) in the C9ORF72 gene), of which the molecular mechanisms remain unclear. Here we demonstrate that loss of the Drosophila orthologue of tau protein (dtau) significantly rescued in vivo neurodegeneration, motor performance impairments, and shortened life-span in Drosophila models expressing mutant HTT protein with expanded CAGr or the expanded G4C2r. Importantly, expression of human tau (htau4R) restored the disease-relevant phenotypes that were mitigated by the loss of dtau, suggesting a conserved role of tau in neurodegeneration. We further discovered that G4C2r expression increased dtau accumulation, possibly due to reduced activity of BAG3-mediated autophagy. Our study reveals a conserved role of tau in G4C2r-induced neurotoxicity in Drosophila models, providing mechanistic insights and potential therapeutic targets.

neuroscience↗

bioRxiv2019

Global genomic population structure of Clostridioides difficile

Clostridioides difficile is the primary infectious cause of antibiotic-associated diarrhea. Local transmissions and international outbreaks of this pathogen have been previously elucidated by bacterial whole-genome sequencing, but comparative genomic analyses at the global scale were hampered by the lack of specific bioinformatic tools. Here we introduce EnteroBase, a publicly accessible database (http://enterobase.warwick.ac.uk) that automatically retrieves and assembles C. difficile short-reads from the public domain, and calls alleles for core-genome multilocus sequence typing (cgMLST). We demonstrate that the identification of highly related genomes is 89% consistent between cgMLST and single-nucleotide polymorphisms. EnteroBase currently contains 13,515 quality-controlled genomes which have been assigned to hierarchical sets of single-linkage clusters by cgMLST distances. Hierarchical clustering can be used to identify populations of C. difficile at all epidemiological levels, from recent transmission chains through to pandemic and endemic strains, and is largely compatible with prior ribotyping. Hierarchical clustering thus enables comparisons to earlier surveillance data and will facilitate communication among researchers, clinicians and public-health officials who are combatting disease caused by C. difficile.

microbiology↗

bioRxiv2019

Non-genetic intra-tumor heterogeneity is a major predictor of phenotypic heterogeneity and ongoing evolutionary dynamics in lung tumors

Impacts of genetic and non-genetic intra-tumor heterogeneity (ITH) on tumor phenotypes and evolvability remain debated. We analyzed ITH in lung squamous cell carcinoma (LUSC) at the levels of genome, transcriptome, tumor-immune interactions, and histopathological characteristics by multi-region profiling and using single-cell sequencing data. Overall, in LUSC genomic heterogeneity alone was a weak indicator of intra-tumor non-genetic heterogeneity at immune and transcriptomic levels that impacted multiple cancer-related pathways including those related to proliferation and inflammation, which in turn contributed to intra-tumor regional differences in histopathology and subtype classification. Genome, transcriptome, and immune-level heterogeneity influenced different aspects of tumor evolution. Tumor subclones had substantial differences in proliferation score, suggestive of non-neutral clonal dynamics. Scores for proliferation and other cancer-related pathways also showed intra-tumor regional differences, sometimes even within the same subclones. Neo-epitope burden negatively correlated with immune infiltration, indicating potential immune-mediated purifying selection on acquired mutations in these tumors. Taken together, our observations suggest that non-genetic heterogeneity is a major determinant of heterogeneity in histopathological characteristics and impacts evolutionary dynamics in lung cancer.

cancer biology↗

bioRxiv2019

Compartmentalized glycogenolysis regulates lung cancer transcription

The role of cellular metabolites in the direct control of signaling is an emerging and rapidly evolving field. Herein, we identify a key role for nuclear glycogen in epigenetic regulation through compartmentalized acetyl CoA production and histone acetylation. Nuclear glycogenolysis is dependent on ubiquitination and translocation of glycogen phosphorylase (GP) into the nucleus by malin, an E3 ubiquitin ligase. We developed an innovative in organello stable isotope tracer method coupled to mass spectrometry analysis to define the metabolic fate of nuclear glycogen. This work revealed that GP is required for nuclear glycogen degradation and subsequent glycolysis to generate substrates for histone acetylation. Inhibition of nuclear glycogenolysis is found to be particularly important in non-small cell lung cancer (NSCLC), as evident by increased nuclear glycogen accumulation and malin suppression in NSCLC. Re-introduction of malin in model NSCLC cell lines restores nuclear glycogenolysis, resulting in increased histone acetylation and transcriptional changes that delay cancer cell growth in vivo. This study uncovers a previously unknown role for glycogen metabolism in the nucleus and elucidates another way by which cellular metabolites control epigenetic regulation.

cancer biology↗

bioRxiv2019

Complete single neuron reconstruction reveals morphological diversity in molecularly defined claustral and cortical neuron types

Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types. Yet our knowledge concerning the diversity of neuronal morphologies, in particular distal axonal projection patterns, is extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale, we established a platform with five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling of a wide range of neuronal types by combining transgenic or viral Cre delivery with novel transgenic reporter lines. We acquired high-resolution whole-brain fluorescent images from a large set of sparsely labeled brains using fluorescence micro-optical sectioning tomography (fMOST). We developed a set of software tools for efficient large-volume image data processing, registration to the Allen Mouse Brain Common Coordinate Framework (CCF), and computer-assisted morphological reconstruction. We reconstructed and analyzed the complete morphologies of 1,708 neurons from the striatum, thalamus, cortex and claustrum. Finally, we classified these cells into multiple morphological and projection types and identified a set of region-specific organizational rules of long-range axonal projections at the single cell level. Specifically, different neuron types from different regions follow highly distinct rules in convergent or divergent projection, feedforward or feedback axon termination patterns, and between-cell homogeneity or heterogeneity. Major molecularly defined classes or types of neurons have correspondingly distinct morphological and projection patterns, however, we also identify further remarkably extensive morphological and projection diversity at more fine-grained levels within the major types that cannot presently be accounted for by preexisting transcriptomic subtypes. These insights reinforce the importance of full morphological characterization of brain cell types and suggest a plethora of ways different cell types and individual neurons may contribute to the function of their respective circuits.

neuroscience↗