Biology subjects

Johnson, M. E.

Publications and source records attributed to Johnson, M. E..

45 records · Page 3Linked to original sources

bioRxiv2020

Deficits in olfactory sensitivity in a mouse model of Parkinson's disease revealed by plethysmography of odor-evoked sniffing

Hyposmia is evident in over 90% of Parkinsons disease (PD) patients. A characteristic of PD is intraneuronal deposits composed in part of -synuclein fibrils. Based on the analysis of post-mortem PD patients, Braak and colleagues suggested that early in the disease -synuclein pathology is present in the dorsal motor nucleus of the vagus, as well as the olfactory bulb and the anterior olfactory nucleus, and then later affects other interconnected brain regions. Here, we bilaterally injected -synuclein preformed fibrils into the olfactory bulb of wild type male and female mice. Six-months after injection, the anterior olfactory nucleus and the piriform cortex displayed a high -synuclein pathology load. We evaluated olfactory perceptual function by monitoring odor-evoked sniffing behavior in a plethysmograph at one-, three- and six-months after injection of -synuclein fibrils. At all-time points, females injected with fibrils exhibited reduced odor detection sensitivity, which was detectable with the semi-automated plethysmography apparatus, but not a buried pellet test. In future studies, this sensitive methodology we used to assess olfactory detection deficits could be used to define how -synuclein pathology affects other aspects of olfactory perception in PD models and to clarify the neuropathological underpinnings of these deficits. Highlights- -synuclein pathology spreads through neuronally-connected areas after bilateral injection of preformed fibrils into the olfactory bulb. - A plethysmograph and an olfactometer were used for a semi-automated screen of odor-evoked sniffing as an assay for odor detection sensitivity. - Bilateral olfactory bulb injections of -synuclein preformed fibrils in female mice led to reduced sensitivity for detecting odors. - The semi-automated plethysmography apparatus was more sensitive at detecting odor detection deficits than the buried pellet test.

neuroscience↗

bioRxiv2019

Human follicular helper T cell promoter connectomes reveal novel genes and regulatory elements at SLE GWAS loci

Systemic lupus erythematosus (SLE) is a complex inflammatory disease mediated by autoreactive antibodies that damages multiple tissues in children and adults. Genome-wide association studies (GWAS) have statistically implicated hundreds of loci in the susceptibility to human disease, including SLE, but the majority have failed to identify the causal variants or the effector genes. As a physicochemical approach to detecting functional variants and connecting them to target genes, we generated comprehensive, high-resolution maps of SLE variant accessibility and gene connectivity in the context of the three-dimensional chromosomal architecture of human tonsillar follicular helper T cells (TFH), a cell type required for the production of anti-nuclear antibodies characteristic of SLE. These spatial epigenomic maps identified a shortlist of over 400 potentially functional variants across 48 GWAS-implicated SLE loci. Twenty percent of these variants were located in open promoters of highly-expressed TFH genes, while 80% reside in non-promoter genomic regions that are connected in 3D to genes that likewise tend to be highly expressed in TFH. Importantly, we find that 90% of SLE-associated variants exhibit spatial proximity to genes that are not nearby in the 1D sequence of the genome, and over 60% of variants skip the nearest gene to physically interact only with the promoters of distant genes. Gene ontology confirmed that genes in spatial proximity to SLE variants reside in highly SLE-relevant networks, including accessible variants that loop 200-1000 kb to interact with the promoters of the canonical TFH genes BCL6 and CXCR5. CRISPR-Cas9 genome editing confirmed that these variants reside in novel, distal regulatory elements required for normal BCL6 and CXCR5 expression by T cells. Furthermore, SLE-associated SNP-promoter interactomes implicated a set of novel genes with no known role in TFH or SLE disease biology, including the homeobox-interacting protein kinase HIPK1 and the Ste kinase homolog MINK1. Targeting these kinases in primary human TFH cells inhibited production of IL-21, a requisite cytokine for production of class-switched antibodies by B cells. This 3D-variant-to-gene mapping approach gives mechanistic insight into the SLE-associated regulatory architecture of the human genome.

genomics↗

bioRxiv2019

NERDSS: a non-equilibrium simulator for multibody self-assembly at the cellular scale

Currently, a significant barrier to building predictive models of cell-based self-assembly processes is that molecular models cannot capture minutes-long cellular dynamics that couple distinct components with active processes, while reaction-diffusion models lack sufficient detail for capturing assembly structures. Here we introduce the Non-Equilibrium Reaction-Diffusion Self-assembly Simulator (NERDSS), which addresses this gap by integrating a structure-resolved reaction-diffusion algorithm with rule-based model construction. By representing proteins as rigid, multi-site molecules that adopt well-defined orientations upon binding, NERDSS simulates formation of large reversible structures with sites that can be acted on by reaction rules. We show how NERDSS allows for directly comparing and optimizing models of multi-component assembly against time-dependent experimental data. Applying NERDSS to assembly steps in clathrin-mediated endocytosis, we capture how the formation of clathrin caged structures can be driven by modulating the strength of clathrin-clathrin interactions, by adding cooperativity, or by localizing clathrin to the membrane. NERDSS further predicts how clathrin lattice disassembly can be driven by enzymes that irreversibly change lipid populations on the membrane. By modeling viral lattice assembly and recapitulating oscillations in protein expression levels for a circadian clock model, we illustrate the wide usability and adaptability of NERDSS. NERDSS simulates user-defined assembly models that were previously inaccessible to existing software tools, with broad applications to predicting self-assembly in vivo and designing high-yield assemblies in vitro.

biophysics↗

bioRxiv2019

An implicit lipid model for efficient reaction-diffusion simulations of protein binding to surfaces of arbitrary topology

Localization of proteins to a membrane is an essential step in a broad range of biological processes such as signaling, virion formation, and clathrin-mediated endocytosis. The strength and specificity of proteins binding to a membrane depend on the lipid composition. Single-particle reaction-diffusion methods offer a powerful tool for capturing lipid-specific binding to membrane surfaces by treating lipids explicitly as individual diffusible binding sites. However, modeling lipid particle populations is expensive. Here we present an algorithm for reversible binding of proteins to continuum surfaces with implicit lipids, providing dramatic speed-ups to many body simulations. Our algorithm can be readily integrated into most reaction-diffusion software packages. We characterize changes to kinetics that emerge from explicit versus implicit lipids as well as surface adsorption models, showing excellent agreement between our method and the full explicit lipid model. Compared to models of surface adsorption, which couple together binding affinity and lipid concentration, our implicit lipid model decouples them to provide more flexibility for controlling surface binding properties and lipid inhomogeneity, and thus reproducing binding kinetics and equilibria. Crucially, we demonstrate our methods application to membranes of arbitrary curvature and topology, modeled via a subdivision limit surface, again showing excellent agreement with explicit lipid simulations. Unlike adsorption models, our method retains the ability to bind lipids after proteins are localized to the surface (through e.g. a protein-protein interaction), which can greatly increase stability of multi-protein complexes on the surface. Our method will enable efficient cell-scale simulations involving proteins localizing to realistic membrane models, which is a critical step for predictive modeling and quantification of in vitro and in vivo dynamics.

biophysics↗

bioRxiv2018

Genetic And Epigenetic Fine Mapping Of Complex Trait Associated Loci In The Human Liver

Deciphering the impact of genetic variation on gene regulation is fundamental to understanding common, complex human diseases. Although histone modifications are important markers of gene regulatory regions of the genome, any specific histone modification has not been assayed in more than a few individuals in the human liver. As a result, the impacts of genetic variation that direct histone modification states in the liver are poorly understood. Here, we generate the most comprehensive genome-wide dataset of two epigenetic marks, H3K4me3 and H3K27ac, and annotate thousands of putative regulatory elements in the human liver. We integrate these findings with genome-wide gene expression data collected from the same human liver tissues and high-resolution promoter-focused chromatin interaction maps collected from human liver-derived HepG2 cells. We demonstrate widespread functional consequences of natural genetic variation on putative regulatory element activity and gene expression levels. Leveraging these extensive datasets, we fine-map a total of 77 GWAS loci that have been associated with at least one complex phenotype. Our results contribute to the repertoire of genes and regulatory mechanisms governing complex disease development and further the basic understanding of genetic and epigenetic regulation of gene expression in the human liver tissue.

genetics↗

bioRxiv2018

Genome-scale Capture C promoter interaction analysis implicates novel effector genes at GWAS loci for bone mineral density

ASBTRACTOsteoporosis is a devastating disease with an essential genetic component. Genome wide association studies (GWAS) have discovered genetic variants robustly associated with bone mineral density (BMD), however they only report genomic signals and not necessarily the precise localization of culprit effector genes. Therefore, we sought to carry out physical and direct variant to gene mapping in a relevant primary human cell type. We developed SPATIaL-seq (genome-Scale, Promoter-focused Analysis of chromaTIn Looping), a massively parallel, high resolution Capture-C based method to simultaneously characterize the genome-wide interactions of all human promoters. By intersecting our SPATIaL-seq and ATAC-seq data from human mesenchymal progenitor cell -derived osteoblasts, we observed consistent contacts between candidate causal variants and putative target gene promoters in open chromatin for ~30% of the 110 BMD loci investigated. Knockdown of two novel implicated genes, ING3 at CPED1-WNT16 and EPDR1 at STARD3NL, had pronounced inhibitory effects on osteoblastogenesis. Our approach therefore aids target discovery in osteoporosis and can be applied to other common genetic diseases.

genomics↗

bioRxiv2017

Stoichiometric balance of protein copy numbers is measurable and functionally significant in a protein-protein interaction network for yeast endocytosis

Stoichiometric balance, or dosage balance, implies that proteins that are subunits of obligate complexes (e.g. the ribosome) should have copy numbers expressed to match their stoichiometry in that complex. Establishing balance (or imbalance) is an important tool for inferring subunit function and assembly bottlenecks. We show here that these correlations in protein copy numbers can extend beyond complex subunits to larger protein-protein interactions networks (PPIN) involving a range of reversible binding interactions. We develop a simple method for quantifying balance in any interface-resolved PPINs based on network structure and experimentally observed protein copy numbers. By analyzing such a network for the clathrin-mediated endocytosis (CME) system in yeast, we found that the real protein copy numbers were significantly more balanced in relation to their binding partners compared to randomly sampled sets of yeast copy numbers. The observed balance is not perfect, highlighting both under and overexpressed proteins. We evaluate the potential cost and benefits of imbalance using two criteria. First, a potential cost to imbalance is that leftover proteins without remaining functional partners are free to misinteract. We systematically quantify how this misinteraction cost is most dangerous for strong-binding protein interactions and for network topologies observed in biological PPINs. Second, a more direct consequence of imbalance is that the formation of specific functional complexes depends on relative copy numbers. We therefore construct simple kinetic models of two sub-networks in the CME network to assess multi-protein assembly of the ARP2/3 complex and a minimal, nine-protein clathrin-coated vesicle forming module. We find that the observed, imperfectly balanced copy numbers are less effective than balanced copy numbers in producing fast and complete multi-protein assemblies. However, we speculate that strategic imbalance in the vesicle forming module allows cells to tune where endocytosis occurs, providing sensitive control over cargo uptake via clathrin-coated vesicles.

biophysics↗

bioRxiv2017

Cytosolic proteins can exploit membrane localization to trigger functional assembly

Cell division, endocytosis, and viral budding would not function without the localization and assembly of protein complexes on membranes. What is poorly appreciated, however, is that by localizing to membranes, proteins search in a reduced space that effectively drives up concentration. Here we derive an accurate and practical analytical theory to quantify the significance of this dimensionality reduction in regulating protein assembly on membranes. We define a simple metric, an effective equilibrium constant, that allows for quantitative comparison of protein-protein interactions with and without membrane present. To test the importance of membrane localization for driving protein assembly, we collected the protein-protein and protein-lipid affinities, protein and lipid concentrations, and volume-to-surface-area ratios for 46 interactions between 37 membrane-targeting proteins in human and yeast cells. We find that many of the protein-protein interactions between pairs of proteins involved in clathrin-mediated endocytosis in human and yeast cells can experience enormous increases in effective protein-protein affinity (10-1000 fold) due to membrane localization. Localization of binding partners thus triggers robust protein complexation, suggesting that it can play an important role in controlling the timing of endocytic protein coat formation. Our analysis shows that several other proteins involved in membrane remodeling at various organelles have similar potential to exploit localization. The theory highlights the master role of phosphoinositide lipid concentration, the volume-to-surface-area ratio, and the ratio of 3D to 2D equilibrium constants in triggering (or preventing) constitutive assembly on membranes. Our simple model provides a novel quantitative framework for interpreting or designing in vitro experiments of protein complexation influenced by membrane binding.

biophysics↗

bioRxiv2017

Functional Characterization of the Morpheus Gene Family

DATA ACCESSThe cDNA sequences reported in this paper have been deposited in the GenBank database (accession numbers): KF175165-KF175225 and BACs accession numbers that are used in this study: AC148621, AC190226, AC097327, AC097332, AC190226, AC097333, AC145401, AC187943, AC166855, AC166597, AC167295, AC235773, AC202644, and AC234805.\n\nABSTRACTThe burst of segmental duplications during human and great ape evolution focuses on a set of \"core\" duplicons encoding great-ape-specific gene families. Characterization of these gene families is complicated by their high copy number, incomplete sequence, and polymorphic nature. We investigate the structure, transcriptional diversity, and protein localization of the nuclear pore complex-interacting protein (NPIP) or Morpheus gene family. The corresponding core, LCRA, encodes one of the most rapidly evolving genes in the human genome; LCRA has expanded to ~20 copies from a single ancestral locus in Old World monkey and is associated with most of the recurrent chromosome 16 microdeletions implicated in autism and mental retardation. Phylogenetic analysis and cDNA sequencing suggest two distinct subfamilies or subtypes, NPIPA and NPIPB. The latter expanded recently within the great apes due to a series of structural changes within the canonical gene structure. Among Old World monkey, we observe a testis-specific pattern of expression that contrasts with the ubiquitous pattern observed among human tissues. This change in the expression profile coincides with the structural events that reshaped the structure and organization of the gene family. Most of the expressed human copies are capable of producing an open reading frame. Immunofluorescence analyses of the morpheus genes showed a primary localization to both the nucleus and its periphery. We show that morpheus genes may be upregulated upon pI:C treatment and find evidence of human autoantibodies produced against the NPIPB protein, raising the possibility that morpheus genes may be related to immune- or autoimmune-related function.

evolutionary biology↗