441 research outputs found

    Prophet of regeneration: On two fascist readings of Knut Hamsun

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    Un voyage ethnographique au cƓur du phĂ©nomĂšne du biohacking : pour une redĂ©finition mĂ©diatique du vivant

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    Ce mĂ©moire de maĂźtrise est une Ă©tude d’un phĂ©nomĂšne Ă©mergent, le biohacking. Depuis 2008 et la crĂ©ation du groupe Boslab Ă  Boston, le biohacking se pratique dans diffĂ©rents groupes autour du monde. Les biohackers se rĂ©unissent autour d’un vivant que l’on ne dĂ©couvre plus mais que l’on fabrique. Ils hackent, bricolent le vivant et son code gĂ©nĂ©tique, comme l’on hackerait un programme informatique. À travers une ethnographie qui suit la crĂ©ation du groupe de biohacking de MontrĂ©al, mais aussi Ă  travers une ethnographie en passant dans diffĂ©rents groupes d’Europe et d’AmĂ©rique du Nord, je propose de comprendre le phĂ©nomĂšne du biohacking Ă  travers une Ă©tude mĂ©diatique du vivant. Ainsi, je propose de penser le vivant comme un medium, entendu comme un intermĂ©diaire, un moyen, mais surtout un milieu. Un milieu qui permet de placer la notion de relation au centre de la rĂ©flexion, plutĂŽt que sur l’objet en lui mĂȘme. Un milieu dans lequel des groupes se dĂ©veloppent, vivent et cohabitent Ă  l’intĂ©rieur d’une communautĂ© plus grande. Des groupes qui Ă©changent des matĂ©riaux, des connaissances et des pratiques, entres eux, mais aussi avec les grandes institutions. Cette recherche propose de repenser notre rapport au vivant pour comprendre un phĂ©nomĂšne Ă  la base d’une rĂ©volution scientifique et sociale.This thesis is a study of an emerging phenomenon, biohacking. Since 2008, and the creation of the Boslab in Boston, biohacking is practiced in different groups around the world. Biohackers meet around the idea that the living is no longer discovered but made. They hack, tinker the living and its genetic code, like one would hack a computer program. Through an ethnography that follows the creation of the biohacking group of Montreal, but also through an ethnography in different groups in Europe and North America, I propose to understand the phenomenon of biohacking through a media study of the living. I propose to think of the living as a medium, understood as an intermediary, a support, but above all an environment. A medium which places the notion of relation at the center of the reflection. An environment in which groups develop, live and cohabit in a larger community. These groups exchange materials, knowledge and practices, among themselves, but also with major institutions. This research proposes to rethink our relationship with the living to understand a phenomenon which could very well be the basis of a scientific and social revolution, biohacking

    A system biology approach highlights a hormonal enhancer effect on regulation of genes in a nitrate responsive "biomodule"

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    <p>Abstract</p> <p>Background</p> <p>Nitrate-induced reprogramming of the transcriptome has recently been shown to be highly context dependent. Herein, a systems biology approach was developed to identify the components and role of cross-talk between nitrate and hormone signals, likely to be involved in the conditional response of NO<sub>3</sub><sup>- </sup>signaling.</p> <p>Results</p> <p>Biclustering was used to identify a set of genes that are N-responsive across a range of Nitrogen (N)-treatment backgrounds (i.e. nitrogen treatments under different growth conditions) using a meta-dataset of 76 Affymetrix ATH1 chips from 5 different laboratories. Twenty-one biclusters were found to be N-responsive across subsets of this meta-dataset. <it>N-bicluster 9 </it>(126 genes) was selected for further analysis, as it was shown to be reproducibly responsive to NO<sub>3</sub><sup>- </sup>as a signal, across a wide-variety of background conditions and datasets. <it>N-bicluster 9 </it>genes were then used as "seed" to identify putative cross-talk mechanisms between nitrate and hormone signaling. For this, the 126 nitrate-regulated genes in <it>N-bicluster 9 </it>were biclustered over a meta-dataset of 278 ATH1 chips spanning a variety of hormone treatments. This analysis divided the bicluster 9 genes into two classes: i) genes controlled by NO<sub>3</sub><sup>- </sup>only <it>vs</it>. ii) genes controlled by <it>both </it>NO<sub>3</sub><sup>- </sup>and hormones. The genes in the latter group showed a NO<sub>3</sub><sup>- </sup>response that is significantly enhanced, compared to the former. <it>In silico </it>analysis identified two Cis-Regulatory Elements candidates (CRE) (E2F, HSE) potentially involved the interplay between NO<sub>3</sub><sup>- </sup>and hormonal signals.</p> <p>Conclusion</p> <p>This systems analysis enabled us to derive a hypothesis in which hormone signals are proposed to enhance the nitrate response, providing a potential mechanistic explanation for the link between nitrate signaling and the control of plant development.</p

    Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate

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    International audienceABSTRACT: BACKGROUND: Nitrate, acting as both a nitrogen source and a signaling molecule, controls many aspects of plant development. However, gene networks involved in plant adaptation to fluctuating nitrate environments have not yet been identified. RESULTS: Here we use time-series transcriptome data to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to nitrate provision. The experimental approach has been to monitor genome-wide responses to nitrate at 3, 6, 9, 12, 15 and 20 minutes, using Affymetrix ATH1 gene chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by a very fast gene expression modulation, involving genes and functions needed to prepare plants to use or reduce nitrate. A state-space model inferred from this microarray time-series data successfully predicts gene behavior in unlearnt conditions. CONCLUSIONS: The experiments and methods allow us to propose a temporal working model for nitrate-driven gene networks. This network model is tested both in silico and experimentally. For example, the over-expression of a predicted gene hub encoding a transcription factor induced early in the cascade indeed leads to the modification of the kinetic nitrate response of sentinel genes such as NIR, NIA2, and NRT1.1, and several other transcription factors. The potential nitrate /hormone connections implicated by this time-series data is also evaluated

    Modeling the global effect of the basic-leucine zipper transcription factor 1 (bZIP1) on nitrogen and light regulation in Arabidopsis

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    Background: Nitrogen and light are two major regulators of plant metabolism and development. While genes involved in the control of each of these signals have begun to be identified, regulators that integrate gene responses to nitrogen and light signals have yet to be determined. Here, we evaluate the role of bZIP1, a transcription factor involved in light and nitrogen sensing, by exposing wild-type (WT) and bZIP1 T-DNA null mutant plants to a combinatorial space of nitrogen (N) and light (L) treatment conditions and performing transcriptome analysis. We use ANOVA analysis combined with clustering and Boolean modeling, to evaluate the role of bZIP1 in mediating L and N signaling genome-wide. Results: This transcriptome analysis demonstrates that a mutation in the bZIP1 gene can alter the L and/or N-regulation of several gene clusters. More surprisingly, the bZIP1 mutation can also trigger N and/or L regulation of genes that are not normally controlled by these signals in WT plants. This analysis also reveals that bZIP1 can, to a large extent, invert gene regulation (e. g., several genes induced by N in WT plants are repressed by N in the bZIP1 mutant). Conclusion: These findings demonstrate that the bZIP1 mutation triggers a genome-wide de-regulation in response to L and/or N signals that range from i) a reduction of the L signal effect, to ii) unlocking gene regulation in response to L and N combinations. This systems biology approach demonstrates that bZIP1 tunes L and N signaling relationships genome-wide, and can suppress regulatory mechanisms hypothesized to be needed at different developmental stages and/or environmental conditions

    Integrated RNA-seq and sRNA-seq analysis identifies novel nitrate-responsive genes in Arabidopsis thaliana roots

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    Background:Nitrate and other nitrogen metabolites can act as signals that regulate global gene expression in plants. Adaptive changes in plant morphology and physiology triggered by changes in nitrate availability are partly explained by these changes in gene expression. Despite several genome-wide efforts to identify nitrate-regulated genes, no comprehensive study of the Arabidopsis root transcriptome under contrasting nitrate conditions has been carried out. Results:In this work, we employed the Illumina high throughput sequencing technology to perform an integrated analysis of the poly-A + enriched and the small RNA fractions of the Arabidopsis thaliana root transcriptome in response to nitrate treatments. Our sequencing strategy identified new nitrate-regulated genes including 40 genes not represented in the ATH1 Affymetrix GeneChip, a novel nitrate-responsive antisense transcript and a new nitrate responsive miRNA/TARGET module consisting of a novel microRNA, miR5640 and its target, AtPPC3. Conclusions:Sequencing of small RNAs and mRNAs uncovered new genes, and enabled us to develop new hypotheses for nitrate regulation and coordination of carbon and nitrogen metabolism

    Transient genome-wide interactions of the master transcription factor NLP7 initiate a rapid nitrogen-response cascade

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    Dynamic reprogramming of gene regulatory networks (GRNs) enables organisms to rapidly respond to environmental perturbation. However, the underlying transient interactions between transcription factors (TFs) and genome-wide targets typically elude biochemical detection. Here, we capture both stable and transient TF-target interactions genome-wide within minutes after controlled TF nuclear import using time-series chromatin immunoprecipitation (ChIP-seq) and/or DNA adenine methyltransferase identification (DamID-seq). The transient TF-target interactions captured uncover the early mode-of-action of NIN-LIKE PROTEIN 7 (NLP7), a master regulator of the nitrogen signaling pathway in plants. These transient NLP7 targets captured in root cells using temporal TF perturbation account for 50% of NLP7-regulated genes not detectably bound by NLP7 in planta. Rapid and transient NLP7 binding activates early nitrogen response TFs, which we validate to amplify the NLP7-initiated transcriptional cascade. Our approaches to capture transient TF-target interactions genome-wide can be applied to validate dynamic GRN models for any pathway or organism of interest. Conventional methods cannot reveal transient transcription factors (TFs) and targets interactions. Here, Alvarez et al. capture both stable and transient TF-target interactions by time-series ChIP-seq and/or DamID-seq in a cell-based TF perturbation system and show NLP7 as a master TF to initiate a rapid nitrogen-response cascade

    IdentiïŹcation of molecular integrators shows that nitrogen activelycontrolsthephosphatestarvationresponseinplants

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    Nitrogen (N) and phosphorus (P) are key macronutrients sustaining plant growth and crop yield and ensuring food security worldwide. Understanding how plants perceive and interpret the combinatorial nature of these signals thus has important agricultural implications within the context of (1) increased food demand, (2) limited P supply, and (3) environmental pollution due to N fertilizer usage. Here, we report the discovery of an active control of P starvation response (PSR) by a combination of local and long-distance N signaling pathways in plants. We show that, in Arabidopsis (Arabidopsis thaliana), the nitrate transceptor CHLORINA1/NITRATE TRANSPORTER1.1 (CHL1/NRT1.1) is a component of this signaling crosstalk. We also demonstrate that this crosstalk is dependent on the control of the accumulation and turnover by N of the transcription factor PHOSPHATE STARVATION RESPONSE1 (PHR1), a master regulator of P sensing and signaling. We further show an important role of PHOSPHATE2 (PHO2) as an integrator of the N availability into the PSR since the effect of N on PSR is strongly affected in pho2 mutants. We finally show that PHO2 and NRT1.1 influence each other’s transcript levels. These observations are summarized in a model representing a framework with several entry points where N signal influence PSR. Finally, we demonstrate that this phenomenon is conserved in rice (Oryza sativa) and wheat (Triticum aestivum), opening biotechnological perspectives in crop plants.This work was supported in the Honude group (Biochemistry & Plant Molecular Physiology) by Agence Nationale de la Recherche (IMANA ANR-14-CE19-0008 with a doctoral fellowship to A.S.), by the Centre National de la Recherche Scientifique (CNRS LIA-CoopNet to G.K.), and by the National Science Foundation (NSF IOS 1339362-NutriNet). Research in V.R.’s laboratory was funded by the Ministry of Economy and Competitiveness and AEI/FEDER/European (grants BIO2013-46539-R and BIO2016-80551-R)

    A map of cell type-specific auxin responses

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    In plants, changes in local auxin concentrations can trigger a range of developmental processes as distinct tissues respond differently to the same auxin stimulus. However, little is known about how auxin is interpreted by individual cell types. We performed a transcriptomic analysis of responses to auxin within four distinct tissues of the Arabidopsis thaliana root and demonstrate that different cell types show competence for discrete responses. The majority of auxin-responsive genes displayed a spatial bias in their induction or repression. The novel data set was used to examine how auxin influences tissue-specific transcriptional regulation of cell-identity markers. Additionally, the data were used in combination with spatial expression maps of the root to plot a transcriptomic auxin-response gradient across the apical and basal meristem. The readout revealed a strong correlation for thousands of genes between the relative response to auxin and expression along the longitudinal axis of the root. This data set and comparative analysis provide a transcriptome-level spatial breakdown of the response to auxin within an organ where this hormone mediates many aspects of development
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