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Pineau, L.

Publications and source records attributed to Pineau, L..

4 recordsLinked to original sources

CytoBatchNorm: an R package with graphical interface for batch effects correction of cytometry data

Innovation in cytometry propelled it to an almost "omic" dimension technique during the last decade. The application fields concomitantly enlarged, resulting in generation of high-dimensional high-content data sets which have to be adequately designed, handled and analyzed. Experimental solutions and detailed data processing pipelines were developed to reduce both the staining conditions variability between samples and the number of tubes to handle. However, an unavoidable variability appears between samples, barcodes, series and instruments (in multicenter studies) contributing to "batch effects" that must be properly controlled. Computer aid to this aim is necessary, and several methods have been published so far, but configuring and carrying out batch normalization remains unintuitive for scientists with "pure" academic backgrounds in biology. To address this challenge, we developed an R package called CytoBatchNorm that offers an intuitive and user-friendly graphical interface. Although the processing is based on the script by Schuyler et al., the graphical interface revolutionizes its use. CytoBatchNorm enables users to define a specific correction for each marker in a single run. It provides a graph that guides you through quickly setting the correction for each marker. It allows corrections to be previewed and inter-marker effects to be checked as the settings are made. CytoBatchNorm will help the cytometry community to adequately scale data between batches, reliably reducing batch effects and improving subsequent dimension reduction and clustering. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=129 SRC="FIGDIR/small/596492v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@600a1eorg.highwire.dtl.DTLVardef@13860cborg.highwire.dtl.DTLVardef@5ad915org.highwire.dtl.DTLVardef@6218dc_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Pathogenic MTOR somatic variant causing focal cortical dysplasia drives hyperexcitability via overactivation of neuronal GluN2C NMDA receptors

ObjectiveGenetic variations in proteins of the mechanistic target of rapamycin (mTOR) pathway cause a spectrum of neurodevelopmental disorders often associated with brain malformations and with intractable epilepsy. The mTORopathies are characterized by hyperactive mTOR pathway and comprise tuberous sclerosis complex (TSC) and focal cortical dysplasia (FCD) type II. How hyperactive mTOR translates into abnormal neuronal activity and hypersynchronous network remains to be better understood. Previously, the role of upregulated GluN2C-containing glutamate- gated NMDA receptors (NMDARs) has been demonstrated for germline defects in the TSC genes. Here, we questioned whether this mechanism would expand to other mTORopathies in the different context of a somatic genetic variation of the MTOR protein recurrently found in FCD type II. MethodsWe used a rat model of FCD created by in utero electroporation of neural progenitors of dorsal telencephalon with expression vectors encoding either the wild-type or the pathogenic MTOR variant (p.S2215F). In this mosaic configuration, patch-clamp whole-cell recordings of the electroporated, spiny stellate neurons and extracellular recordings of the electroporated areas were performed in neocortical slices. Selective inhibitors were used to target mTOR activity and GluN2C- mediated currents. ResultsNeurons expressing the mutant protein displayed an excessive activation of GluN2C NMDAR-mediated spontaneous excitatory post-synaptic currents. GluN2C-dependent increase in spontaneous spiking activity was detected in the area of electroporated neurons in the mutant condition and was restricted to a critical time-window between postnatal days P9 and P20. SignificanceSomatic MTOR pathogenic variant recurrently found in FCD type II resulted in overactivation of GluN2C-mediated NMDARs in neocortices of rat pups. The related and time- restricted hyperexcitability was sensitive to subunit GluN2C-specific blockade. Our study suggests that GluN2C-related pathomechanisms might be shared in common by mTOR pathway-related cortical dysplasia. Key pointsO_LIExcessive activation of GluN2C NMDAR-mediated currents in spiny stellate neurons expressing FCD-causing MTOR somatic variation C_LIO_LIGluN2C-dependent increase in spontaneous spiking activity in rat somatosensory cortex containing mutant MTOR-expressing neurons C_LIO_LIGluN2C-dependent excessive network activity is time-restricted to a critical period between P9 and P20 C_LI

neuroscience↗

A time- and space-resolved nuclear receptor atlas in mouse liver

The unique functional versatility of the liver is paramount for organismal homeostasis. Both liver development and adult functions are controlled by tightly regulated transcription factor networks, within which nuclear receptors regulate essential functions of parenchymal and non-parenchymal cells. Acting as transcription factors sensitive to extracellular cues such as steroidal hormones, lipid metabolites, xenobiotics... and modulated by intracellular signaling pathways, nuclear receptors orchestrate many aspects of hepatic physiology. While liver functional zonation and adaptability to fluctuating conditions are known to rely on a sophisticated cellular architecture, a comprehensive knowledge of nuclear receptor functions in the different liver cell types is still lacking. As a first step toward the accurate mapping of nuclear receptor functions in mouse liver, we characterized their levels of expression in whole liver as a function of time and diet, and explored nuclear receptor isoform expression in hepatocytes, cholangiocytes, Kupffer cells, hepatic stellate cells and liver sinusoidal cells. In addition, we leveraged liver single cell RNAseq studies to provide here an up-to-date compendium of nuclear receptor expression in mouse liver in space and time.

molecular biology↗

The HDAC inhibitor trichostatin A impairs pancreatic β-cell function through an epigenome-wide reprogramming

ObjectiveThe pancreatic islets of Langerhans contain distinct cell subtypes including insulin-producing {beta} cells. Although their cell-specific gene expression pattern defines their identity, the underlying molecular network driving this transcriptional specificity is not fully understood. Among the numerous transcriptional regulators, histone deacetylases (HDAC) enzymes are potent chromatin modifiers which directly regulate gene expression through deacetylation of lysine residues within specific histone proteins. The precise molecular mechanisms underlying HDAC effects on cellular plasticity and {beta}-cell identity are currently unknown. MethodsThe pharmacological inhibition of HDAC activity by trichostatin A (TSA) was studied in the mouse Min6 and human EndocBH1 cell lines, as well as primary mouse sorted {beta} cells and human pancreatic islets. The molecular and functional effects of treating these complementary {beta}-cell models with TSA was explored at the epigenomic and transcriptomic level through next-generation sequencing of chromatin immunoprecipitation (ChIP) assays (ChIP-seq) and RNA sequencing (RNA-seq) experiments, respectively. ResultsWe showed that TSA alters insulin secretion associated with {beta}-cell specific transcriptome programming in both mouse and human {beta}-cell lines, as well as on human pancreatic islets. We also demonstrated that this alternative {beta}-cell transcriptional program in response to HDAC inhibition is related to an epigenome-wide remodeling at both promoters and enhancers. ConclusionsTaken together, our data indicate that full HDAC activity is required to safeguard the epigenome, to protect against loss of {beta}-cell identity with unsuitable expression of genes associated with alternative cell fates.

genomics↗