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bioRxiv2018

Identifying task-relevant spectral signatures of perceptual categorization in the human cortex

Human brain has developed mechanisms to efficiently decode sensory information according to perceptual categories of high prevalence in the environment, such as faces, symbols, objects. Neural activity produced within localized brain networks has been associated with the process that integrates both sensory bottom-up and cognitive top-down information processing. Yet, how specifically the different types and components of neural responses reflect the local networks selectivity for categorical information processing is still unknown. By mimicking the decoding of the sensory information with machine learning we can obtain accurate artificial decoding models. Having the artificial system functionally on par with the biological one we can analyze the mechanics of the artificial system to gain insights into the inner workings of its biological counterpart. In this work we train a Random Forest classification model to decode eight perceptual categories from visual stimuli given a broad spectrum of human intracranial signals (4 - 150 Hz) obtained during a visual perception task, and analyze which of the spectral features the algorithm deemed relevant to the perceptual decoding. We show that network selectivity for a single or multiple categories in sensory and non-sensory cortices is related to specific patterns of power increases and decreases in both low (4 - 50 Hz) and high (50 - 150 Hz) frequency bands. We demonstrate that the locations and patterns of activity that are identified by the algorithm not only coincide with the known spectro-spatial signatures, but extend our knowledge by uncovering additional spectral signatures describing neural mechanisms of visual category perception in human brain.\n\nSignificance statementPrevious works have shown where and when perceptual category information can be decoded from the human brain, our study adds to that line of research by allowing to identify spectrotemporal patterns that contribute to category decoding without the need to formulate a priori hypothesis on which spectral components and at which times are worth investigating. Application of this method to an extensive dataset of human intracerebral recordings delineates the locations that are predictive of several perceptual categories from the locations that are have narrow specialization, identifies spectral signatures characteristic of each of 8 perceptual categories and allows to observe global and category-specific patterns of neural activity pertinent to functional perceptual categorization.

neuroscience↗

bioRxiv2014

Metabolic free energy and deterministic-but-for-error biological codes: a ‘Data Rate Theorem’ aging model

The living state is cognitive at every scale and level of organization. Since it is possible to associate a broad class of cognitive processes with dual information sources, many pathologies can be addressed using statistical models based on the Shannon Coding, the Shannon-McMillan Source Coding, the Rate Distortion, and the Data Rate Theorems, as these impose powerful necessary condition constraints on information generation and exchange, and on system control. Deterministic-but-for-error biological codes do not directly invoke cognition, although they may be essential subcomponents within larger cognitive processes. A formal argument, however, places such codes within a similar framework, with metabolic free energy serving as a control signal stabilizing biochemical code-and-translator dynamics in the presence of noise. Demand beyond available energy supply then expresses itself in punctuated destabilization of the coding channel, affecting a spectrum of essential biological functions. Aging, normal or prematurely driven by psychosocial or environmental stressors, must eventually interfere with the routine operation of such mechanisms, triggering chronic diseases associated with senescence. Amyloid fibril formation, intrinsically disordered protein logic gates, and cell surface glycan/lectin kelp bed logic gates are reviewed from this perspective. The results, however, generalize beyond coding systems having easily recognizable symmetry modes.

Systems Biology↗

bioRxiv2016

Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks

Signaling pathways represent parts of the global biological network which connects them into a seamless whole through complex direct and indirect (hidden) crosstalk whose structure can change during development or in pathological conditions. We suggest a novel methodology, called Googlomics, for the structural analysis of directed biological networks using spectral analysis of their Google matrices, using parallels with quantum scattering theory, developed for nuclear and mesoscopic physics and quantum chaos. We introduce the reduced Google matrix method for the regulatory biological networks and demonstrate how its computation allows inferring hidden causal relations between the members of a signaling pathway or a functionally related group of genes. We investigate how the structure of hidden causal relations can be reprogrammed as the result of changes in the transcriptional network layer during cancerogenesis. The suggested Googlomics approach rigorously characterizes complex systemic changes in the wiring of large causal biological networks.

systems biology↗

bioRxiv2018

Depletion of microbiome-derived molecules in the host using Clostridium genetics

The gut microbiota produce hundreds of molecules that are present at high concentrations in circulation and whose levels vary widely among humans. In most cases, molecule production has not been linked to specific bacterial strains or metabolic pathways, and unraveling the contribution of each molecule to host biology remains difficult. A general system to toggle molecules in this pool on/off in the host would enable interrogation of the mechanisms by which they modulate host biology and disease processes. Such a system has been elusive due to limitations in the genetic manipulability of Clostridium and its relatives, the source of many molecules in this pool. Here, we describe a method for reliably constructing clean deletions in a model commensal Clostridium, C. sporogenes (Cs), including multiply mutated strains. We demonstrate the utility of this method by using it to toggle off the production of ten Cs-derived molecules that accumulate in host tissues. By comparing mice colonized by wild-type Cs versus a mutant deficient in the production of branched short-chain fatty acids, we discover a previously unknown IgA-modulatory activity of these abundant microbiome-derived molecules. Our method opens the door to interrogating and sculpting a highly concentrated pool of chemicals from the microbiome.

microbiology↗

bioRxiv2018

Strength in numbers: collaborative science for new experimental model systems

Our current understanding of biology is heavily based on the contributions from a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster development of ecologically and taxonomically diverse marine protist genetic models. This multifaceted, complex but important challenge required a highly collaborative community-based approach. Herein we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research.

microbiology↗

bioRxiv2026

Predictability failure in glucose-insulin system for ICU patients

Modern medicine implicitly assumes that physiological responses to intervention are predictably determined by administered treatments. However, physiological systems containing intrinsic delays between the detection of a stimulus and the biological response may violate this assumption. We investigate the human glucose-insulin system as described by the Ultradian model and mathematically demonstrate that clinically relevant forcing protocols-such as pulsatile insulin delivery and step-wise glucose infusion, both commonly used in intensive care units (ICUs)-can induce sustained temporal chaos that may hamper accurate prediction of the physiological response. If not accounted for, these chaotic dynamics could create difficulties in achieving optimal dosing and timing when administering glucose and insulin in clinical or home care settings. This phenomenon, termed delay-induced uncertainty (DIU), arises from the interaction between physiological delay, intrinsic shear near a limit cycle, and external forcing. Using the Ultradian glucose-insulin model, we compute top Lyapunov exponents to quantify predictability. Across a range of pulsatile and step-wise forcing regimes, including stochastic amplitudes drawn from Markov processes, we observe positive Lyapunov exponents, indicating sustained chaos. Our results suggest that delayed endocrine regulation may fundamentally limit the predictive value of the models used to develop glycemic management strategies, with implications for clinical protocols in the ICU.

systems biology↗

bioRxiv2017

Long-Term Memory In The Migration Movements Of Enucleated Amoeba proteus

How motile, free unicellular organisms maximize the rate at which they encounter resources and develop optimal search strategies remains largely unknown. In fact, cell foraging is a very complex activity in which unicellular organisms integrate a diversity of external cues and develop efficient systemic movements to localize nourishment. These foraging strategies are critical when cells face conditions of scarce resources or they dont possess information on where food is located. Here, in order to determine whether nuclear activity is directly involved in cell migration, we placed single, well-isolated, enucleated and non-enucleated starved Amoeba proteus on nutrient-free petri dishes, and we then analyzed their trajectories of movement using non-linear dynamic tools. We found that despite being enucleated, the systemic responses of the protoplasm exhibited typical biological behaviors, moving with apparent normality, creeping along the substrate, developing pseudopodia and gobbling up prey. Our quantitative studies show that both the non-enucleated and enucleated amoebas display a similar migration structure, characterized by super-diffusivity, non-trivial long-term correlations and move-step fluctuations with scale invariant properties. In conclusion, the nuclear activity does not seem to directly control the systemic cellular movements involved in locating sparse resources.

systems biology↗

bioRxiv2014

Mucosal effects of tenofovir 1% gel

BACKGROUNDTenofovir gel is being evaluated for vaginal and rectal pre-exposure prophylaxis against sexual HIV transmission. Because this is a new prevention strategy targeting large numbers of healthy people, we broadly assessed its effects on the mucosa.\n\nMETHODS AND FINDINGSIn MTN-007, a phase 1, randomized, double-blinded rectal microbicide trial, we used systems genomics/proteomics to determine the effect of tenofovir 1% gel, nonoxynol-9 2% gel, placebo gel or no treatment on rectal biopsies taken at baseline, after one application or after seven daily applications (15 subjects/arm). Experiments were repeated using primary vaginal epithelial cells from four healthy women. After seven days of administration, tenofovir 1% gel had broad-ranging biological effects on the rectal mucosa, which were much more pronounced than--but different from--those caused by the detergent nonoxynol-9. Tenofovir profoundly suppressed anti-inflammatory mediators such as interleukin 10; increased T cell densities; caused mitochondrial dysfunction, possibly by blocking PNPT1 expression; and altered regulatory pathways of cell differentiation and survival. Except for leukocyte-derived factors, all these effects were replicated in primary vaginal epithelial cells, which also proliferated significantly faster in tenofovir's presence.\n\nCONCLUSIONSTenofovir's suppression of anti-inflammatory activity could diminish its prophylactic efficacy over time. The breadth of mucosal changes, including mitochondrial dysfunction and epithelial proliferation, raises questions about its safety for long-term topical use. These findings suggest that a systems biology evaluation of mucosal effects may be beneficial before advancing to large-scale efficacy trials with topical HIV prevention agents that achieve high, long-lasting local drug concentrations.

Microbiology↗

bioRxiv2017

The hominoid-specific gene DSCR4 is involved in regulation of human leukocyte migration

DSCR4 (Down syndrome critical region 4) is an orphan retrotransposon-derived de-novo originated protein coding gene present only in hominoids (humans and great apes). Despite being located on the medically critical genomic region and abundance of evidences indicating its functionality, the role of this gene in human cells was utterly unknown. Due to absence of any prior knowledge regarding the function of DSCR4, for the first time here we used a gene-overexpression approach to discover biological importance and cellular roles of this gene. Our analysis strongly indicates DSCR4 to be mainly involved in regulation of the interconnected biological pathways related to cell migration, coagulation and immune system. We also showed that the predicted biological functions are consistent with tissue-specific expression of DSCR4 in migratory immune system leukocyte cells and neural crest cells that shape facial morphology of human embryo. Immune system and neural crest cells are also shown to be affected in Down syndrome patients who suffer from the same type of DSCR4 misregulation as in our study which further support our findings. Providing evidence for the critical roles of DSCR4 in human cells, our findings establish the basis for further investigations on the roles of DSCR4 in etiology of Down syndrome and unique characteristics of hominoids.

genetics↗

bioRxiv2017

Mapping the phenotypic repertoire of the cytoplasmic 2-Cys peroxiredoxin - thioredoxin system. 1. Understanding commonalities and differences among cell types.

The system (PTTRS) formed by typical 2-Cys peroxiredoxins (Prx), thioredoxin (Trx), Trx reductase (TrxR), and sulfiredoxin (Srx) is central in antioxidant protection and redox signaling in the cytoplasm of eukaryotic cells. Understanding how the PTTRS integrates these functions requires tracing phenotypes to molecular properties, which is non-trivial. Here we analyze this problem based on a model that captures the PTTRS conserved features. We have mapped the conditions that generate each distinct response to H2O2 supply rates ({nu}sup), and estimated the parameters for thirteen human cell types and for Saccharomyces cerevisiae. The resulting composition-to-phenotype map yielded the following experimentally testable predictions. The PTTRS permits many distinct responses including ultra-sensitivity and hysteresis. However, nearly all tumor cell lines showed a similar response characterized by limited Trx-S- depletion and a substantial but self-limited gradual accumulation of hyperoxidized Prx at high{nu} sup. This similarity ensues from strong correlations between the TrxR, Srx and Prx activities over cell lines, which contribute to maintain the Prx-SS reduction capacity in slight excess over the maximal steady state Prx-SS production. In turn, in erythrocytes, hepatocytes and HepG2 cells high{nu} sup depletes Trx-S- and oxidizes Prx mainly to Prx-SS. In all nucleated human cells the Prx-SS reduction capacity defined a threshold separating two different regimes. At sub-threshold{nu} sup cytoplasmic H2O2 is determined by Prx, nM-range and spatially localized, whereas at supra-threshold{nu} sup it is determined by much less active alternative sinks and M-range throughout the cytoplasm. The yeast shows a distinct response where the Prx Tsa1 accumulates in sulfenate form at high{nu} sup. This is mainly due to an exceptional stability of Tsa1s sulfenate.\n\nThe implications of these findings for thiol redox regulation and cell physiology are discussed. All estimates were thoroughly documented and provided, together with analytical approximations for system properties, as a resource for quantitative redox biology.\n\nAbbreviationsASK1, apoptosis signal-regulating kinase 1; Cat, catalase; GSH, glutathione; GPx1, glutathione peroxidase 1; Grx, glutaredoxin; KEAP1, Kelch-like ECH-associated protein 1; NRF2, nuclear factor erythroid 2-related factor 2; Prx, typical 2-Cys peroxiredoxin; PTTRS, peroxiredoxin / thioredoxin / thioredoxin reductase system; Srx, sulfiredoxin; Trx, thioredoxin; TrxR, thioredoxin reductase.

systems biology↗

bioRxiv2017

Synthetic negative feedback circuits using engineered small RNAs

Negative feedback is known to endow biological and man-made systems with robust performance in the face of uncertainties and disturbances. To date, synthetic biological feedback circuits have relied upon protein-based, transcriptional regulation to control circuit output. Small RNAs (sRNAs) are non-coding RNA molecules which can inhibit translation of target messenger RNAs (mRNAs). In this paper, we designed, modelled and built two synthetic negative feedback circuits that use rationally-designed sRNAs for the first time. The first circuit builds upon the well characterised tet-based autorepressor, incorporating an externally-inducible sRNA to tune the effective feedback strength. This allows more precise fine-tuning of the circuit output in contrast to the sigmoidal input-output response of the autorepressor alone. In the second circuit, the output is a transcription factor that induces expression of an sRNA which negatively regulates the translation of the mRNA encoding this output, creating direct, closed-loop, negative feedback. Analysis of the noise profiles of both circuits showed that the use of sRNAs did not result in large increases in noise. Stochastic and deterministic modelling of both circuits agreed well with experimental data. Finally, simulations using fitted parameters allowed dynamic attributes of each circuit such as response time and disturbance rejection to be investigated.

synthetic biology↗

bioRxiv2018

Evidence for a unique DNA-dependent RNA polymerase in cereal crops

Gene duplication is an important driver for the evolution of new genes and protein functions. Duplication of DNA-dependent RNA polymerase (Pol) II subunits within plants led to the emergence of RNA Pol IV and V complexes, each of which possess unique functions necessary for RNA-directed DNA Methylation. Comprehensive identification of Pol V subunit orthologs across the monocot radiation revealed a duplication of the largest two subunits within the grasses (Poaceae), including critical cereal crops. These paralogous Pol subunits display sequence conservation within catalytic domains, but their carboxy terminal domains differ in length and character of the Ago-binding platform, suggesting unique functional interactions. Phylogenetic analysis of the catalytic region indicates positive selection on one paralog following duplication, consistent with retention via neofunctionalization. Positive selection on residue pairs that are predicted to interact between subunits suggests that paralogous subunits have evolved specific assembly partners. Additional Pol subunits as well as Pol-interacting proteins also possess grass-specific paralogs, supporting the hypothesis that a novel Pol complex with distinct function has evolved in the grass family, Poaceae.\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC=\"FIGDIR/small/272708_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (32K):\norg.highwire.dtl.DTLVardef@13d3515org.highwire.dtl.DTLVardef@16831d5org.highwire.dtl.DTLVardef@19f99b8org.highwire.dtl.DTLVardef@1253e70_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG Significance statementThe grass family is critically important for humans, as this group contains cereal grains such as rice, wheat, and corn that form the bulk of the human diet. Here we provide evidence that grasses have evolved a unique polymerase complex of unknown function, suggesting a novel mechanism of gene regulation in the grass lineage. In addition to implications for the biology of grasses, this system offers an opportunity to understand how evolution shapes multi-subunit complexes through duplication of individual components.

plant biology↗

bioRxiv2018

The UBR-1 Ubiquitin Ligase Regulates Glutamate Metabolism to Generate Coordinated Motor Pattern in C. elegans

UBR1 is an E3 ubiquitin ligase best known for its ability to target protein degradation by the N-end rule. The physiological functions of UBR family proteins, however, remain not fully understood. We found that the functional loss of C. elegans UBR-1 leads to a specific motor deficit: when adult animals generate reversal movements, A-class motor neurons exhibit synchronized activation, preventing body bending. This motor deficit is rescued by removing GOT-1, a transaminase that converts aspartate to glutamate. Both UBR-1 and GOT-1 are expressed and critically required in premotor interneurons of the reversal motor circuit to regulate the motor pattern. ubr-1 and got-1 mutants exhibit elevated and decreased glutamate level, respectively. These results raise an intriguing possibility that UBR proteins regulate glutamate metabolism, which is critical for neuronal development and signaling.\n\nAuthor SummaryUbiquitin-mediated protein degradation is central to diverse biological processes. The selection of substrates for degradation is carried out by the E3 ubiquitin ligases, which target specific groups of proteins for ubiquitination. The human genome encodes hundreds of E3 ligases; many exhibit sequence conservation across animal species, including one such ligase called UBR1. Patients carrying mutations in UBR1 exhibit severe systemic defects, but the biology behinds UBR1s physiological function remains elusive. Here we found that the C. elegans UBR-1 regulates glutamate level. When UBR-1 is defective, C. elegans exhibits increased glutamate; this leads to synchronization of motor neuron activity, hence defective locomotion when animals reach adulthood. UBR1-mediated glutamate metabolism may contribute to the physiological defects of UBR1 mutations.

neuroscience↗

bioRxiv2018

A Phantom System Designed to Assess the Effects of Membrane Lipids on Water Proton Relaxation

PurposeQuantitative magnetic resonance imaging (qMRI) provides a method for the non-invasive study of brain structure and associated changes, expressed in physical units. qMRI parameters have been shown to reflect brain tissue composition such as myelin. Nevertheless, it remains a major challenge to identify and quantify the contributions of specific molecular components to the MRI signal. Here, we describe a phantom system that can be used to evaluate the contribution of human brain lipids to qMRI parameters.\n\nMethodsA thin layer evaporation-hydration technique was used to formulate liposomes that mimic the physiological bi-layered membrane lipid environment. We then applied quantitative clinical MRI techniques with adjusted bias corrections in order to test the ability of the phantom system to estimate multiple qMRI parameters such as proton density (PD), T1, T2, T2* and magnetization transfer (MT).\n\nResultsThe results indicated that phantoms composed of various lipids could provide a stable and reliable estimation of qMRI parameters. In addition, the calculated water fraction (WF) maps for the phantoms were found to accurately represent the true WF volumes.\n\nConclusionWe have successfully created a biologically relevant liposome phantom system whose lipid composition can be fully controlled. This system can be used to measure the contributions of lipids to qMRI parameters under conditions that are relevant to in-vivo human scans.

neuroscience↗

bioRxiv2018

Engineering Translational Resource Allocation Controllers: Mechanistic Models, Design Guidelines, and Potential Biological Implementations

The use of orthogonal ribosomes in combination with dynamic resource allocation controllers is a promising approach for relieving the negative effects of cellular resource limitations on the modularity of synthetic gene circuits. Here, we develop a detailed mechanistic model of gene expression and resource allocation, which when simplified to a tractable level of complexity, allows the rational design of translational resource allocation controllers. Analysis of this model reveals a fundamental design trade-off; that reducing coupling acts to decrease gene expression. Through a sensitivity analysis of the experimentally tuneable controller parameters, we identify how each controller design parameter affects the overall closed-loop behaviour of the system, leading to a detailed set of design guidelines for optimally managing this trade-off. Based on our designs, we evaluated a number of alternative potential experimental implementations of the proposed system using commonly available biological components. Finally, we show that the controller is capable of dynamically allocating ribosomes as needed to restore modularity in a number of more complex synthetic circuits, such as the repressilator, and activation cascades composed of multiple interacting modules.

synthetic biology↗

bioRxiv2017

A plasmid-based Escherichia coli gene expression system with cell-to-cell variation below the extrinsic noise limit

Experiments in synthetic biology and microbiology can benefit from protein expression systems with low cell-to-cell variability (noise) and expression levels precisely tunable across a useful dynamic range. Despite advances in understanding the molecular biology of microbial gene regulation, many experiments employ protein-expression systems exhibiting high noise and nearly all-or-none responses to induction. I present an expression system that incorporates elements known to reduce gene expression noise: negative autoregulation and bicistronic transcription. I show by stochastic simulation that while negative autoregulation can produce a more gradual response to induction, bicistronic expression of a repressor and gene of interest can be necessary to reduce noise below the extrinsic limit. I synthesized a plasmid-based system incorporating these principles and studied its properties in Escherichia coli cells, using flow cytometry and fluorescence microscopy to characterize induction dose-response, induction/repression kinetics and gene expression noise. By varying ribosome binding site strengths, expression levels from 55-- 10,740 molecules/cell were achieved with noise below the extrinsic limit. Individual strains are inducible across a dynamic range greater than 20-fold. Experimental comparison of different regulatory networks confirmed that bicistronic autoregulation reduces noise, and revealed unexpectedly high noise for a conventional expression system with a constitutively expressed transcriptional repressor. I suggest a hybrid, low-noise expression system to increase the dynamic range.

synthetic biology↗

bioRxiv2018

Tripal Developer Toolkit

Tripal is an open-source biological community database construction toolkit utilizing the content management system Drupal. Tripal is used to make biological, genetic and genomic data more discoverable, shareable, searchable, and standardized. As funding for community level genomics databases declines, Tripals open source codebase provides a means for sites to be built and maintained with a minimal investment in staff and new development. Tripal is ultimately as strong as the community of sites and developers that use it. We present a set of developer tools that will make building and maintaining Tripal 3 sites easier for new and returning users. These tools break down barriers to entry such as setting up developer and testing environments, acquiring and loading test datasets, working with controlled vocabulary terms, and writing new Drupal classes.

bioinformatics↗

bioRxiv2017

Genome-Enabled Insights Into The Ecophysiology Of The Comammox Bacterium Candidatus Nitrospira nitrosa

The recently discovered comammox bacteria have the potential to completely oxidize ammonia to nitrate. These microorganisms are part of the Nitrospira genus and are present in a variety of environments, including Biological Nutrient Removal (BNR) systems. However, the physiological traits within and between comammox- and nitrite oxidizing bacteria (NOB)-like Nitrospira species have not been analyzed in these ecosystems. In this study, we identified Nitrospira strains dominating the nitrifying community of a sequencing batch reactor (SBR) performing BNR under micro-aerobic conditions. We recovered metagenomes-derived draft genomes from two Nitrospira strains: (1) Nitrospira sp. UW-LDO-01, a comammox-like organism classified as Candidatus Nitrospira nitrosa, and (2) Nitrospira sp. UW-LDO-02, a nitrite oxidizing strain belonging to the Nitrospira defluvii species. A comparative genomic analysis of these strains with other Nitrospira-like genomes identified genomic differences in Ca. Nitrospira nitrosa mainly attributed to each strains niche adaptation. Traits associated with energy metabolism also differentiate comammox from NOB-like genomes. We also identified several transcriptionally regulated adaptive traits, including stress tolerance, biofilm formation and micro-aerobic metabolism, which might explain survival of Nitrospira under multiple environmental conditions. Overall, our analysis expanded our understanding of the genetic functional features of Ca. Nitrospira nitrosa, and identified genomic traits that further illuminate the phylogenetic diversity and metabolic plasticity of the Nitrospira genus.

microbiology↗