bioRxiv
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#1Juan C. Opazo (UACh: Austral University of Chile)H-Index: 34
#2Kattina Zavala (UACh: Austral University of Chile)H-Index: 5
Last. Federico G. Hoffmann (MSU: Mississippi State University)H-Index: 34
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Abstract null Studying the evolutionary history of gene families is a challenging and exciting task with a wide range of implications. In addition to exploring fundamental questions about the origin and evolution of genes, disentangling their evolution is also critical to those who do functional/structural work, as the correct interpretation of their results needs to be done in a robust evolutionary context. The sirtuin gene family is a group of genes that are involved in a variety of biological...
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#1Julie Demars (UFTMP: Federal University of Toulouse Midi-Pyrénées)H-Index: 10
#2Yann Labrune (UFTMP: Federal University of Toulouse Midi-Pyrénées)H-Index: 2
Last. Juliette Riquet (UFTMP: Federal University of Toulouse Midi-Pyrénées)H-Index: 20
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Deciphering the molecular architecture of coat coloration for a better understanding of the biological mechanisms underlying pigmentation still remains a challenge. We took advantage of a rabbit French experimental population in which both a pattern and a gradient of coloration from white to brown segregated within the himalayan phenotype. The whole experimental design was genotyped using the high density Affymetrix(R) AxiomOrcun SNP Array and phenotyped into 6 different groups ordered from the ...
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#1Cyrille Mascart (Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis)H-Index: 2
#2Gilles Scarella (Laboratoire Jean-Alexandre Dieudonné)H-Index: 1
Last. Alexandre Muzy (Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis)H-Index: 14
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We present here a new algorithm based on a random model for simulating efficiently large brain neuronal networks. Model parameters (mean firing rate, number of neurons, synaptic connection probability and postsynaptic duration) are easy to calibrate further on real data experiments. Based on time asynchrony assumption, both computational and memory complexities are proved to be theoretically linear with the number of neurons. These results are experimentally validated by sequential simulations o...
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#1Alexis Villars (Sorbonne)H-Index: 1
#2Alexis Matamoro-Vidal (University of Paris)H-Index: 5
Last. Romain Levayer (University of Paris)H-Index: 13
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Epithelial cell death is essential for tissue homeostasis, robustness and morphogenesis. The expulsion of epithelial cells following caspase activation requires well-orchestrated remodeling steps leading to cell elimination without impairing tissue sealing. While numerous studies have provided insight about the process of cell extrusion, we still know very little about the relationship between caspase activation and the remodeling steps of cell extrusion. Moreover, most studies of cell extrusion...
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#1Inès Daguet (UCBL: Claude Bernard University Lyon 1)H-Index: 1
#2Veronique Raverot (Hospices Civils de Lyon)
Last. Claude Gronfier (UCBL: Claude Bernard University Lyon 1)H-Index: 36
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Pain intensity has been reported to fluctuate during the day in some experimental and clinical conditions, but the mechanisms underlying these fluctuations are unknown. Although the circadian timing system is known to regulate a wide range of physiological functions, its implication in pain regulation is unknown. We show here, using highly controlled laboratory constant routine conditions, that pain sensitivity is rhythmic over the 24-hours and strongly controlled by the endogenous circadian tim...
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#1Fotuhi Siahpirani (UW: University of Wisconsin–Madison)H-Index: 1
#2Chasman (UW: University of Wisconsin–Madison)H-Index: 1
Last. RoyH-Index: 1
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Changes in transcriptional regulatory networks can significantly alter cell fate. To gain insight into transcriptional dynamics, several studies have profiled transcriptomes and epigenomes at different stages of a developmental process. However, integrating these data across multiple cell types to infer cell type specific regulatory networks is a major challenge because of the small sample size for each time point. We present a novel approach, Dynamic Regulatory Module Networks (DRMNs), to model...
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#1Sara J. HussainH-Index: 6
#2Mary K Vollmer (National Institute of Neurological Disorders and Stroke)H-Index: 1
Last. Leonardo G. Cohen (National Institute of Neurological Disorders and Stroke)H-Index: 128
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Abstract null Successful initiation of a voluntary movement requires transmission of descending motor commands from the primary motor cortex (M1) to the spinal cord and effector muscles. M1 activity alternates between brief excitatory and inhibitory brain states in the form of oscillatory phases that correlate with single neuron spiking rates and population-level neuronal activity. The influence of these brief brain states on fundamental motor behaviors, like movement initiation, is not known. H...
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#1Sara J. Hussain (The University of Texas at Austin)H-Index: 6
#2Romain QuentinH-Index: 9
OBJECTIVE: Brain state-dependent transcranial magnetic stimulation (TMS) requires real-time identification of cortical excitability states. Here, we aimed to identify individualized, subject-specific motor cortex (M1) excitability states from whole-scalp electroencephalography (EEG) signals. METHODS: We analyzed a pre-existing dataset that delivered 600 single TMS pulses to the right M1 during EEG and electromyography (EMG) recordings. Subject-specific multivariate pattern classification was use...
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#1Arthur Imbert (ENSMP: Mines ParisTech)H-Index: 4
#2Wei Ouyang (KTH: Royal Institute of Technology)H-Index: 8
Last. Florian Mueller (Institut Pasteur)H-Index: 27
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Regulation of RNA abundance and localization is a key step in gene expression control. Single-molecule RNA fluorescence in-situ hybridization (smFISH) is a widely used single-cell-single-molecule imaging technique enabling a quantitative understanding of gene expression and its regulatory mechanisms. Recent progress in experimental techniques provides larger data-sets, requiring adequate tools for data analysis and exploration. Here, we present FISH-quant v2, a highly modular analysis tool acces...
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#1Tristan Lazard (ENSMP: Mines ParisTech)
#2Guillaume Bataillon (INSERM: Inserm)H-Index: 9
Last. Anne Vincent Salomon (INSERM: Inserm)H-Index: 10
view all 10 authors...
Homologous Recombination DNA-repair deficiency (HRD) is a well-recognized marker of platinum-salt and PARP inhibitor chemotherapies in ovarian and breast cancers (BC). Causing high genomic instability, HRD is currently determined by BRCA1/2 sequencing or by genomic signatures, but its morphological manifestation is not well understood. Deep Learning (DL) is a powerful machine learning technique that has been recently shown to be capable of predicting genomic signatures from stained tissue slides...
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