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David, F.

Publications and source records attributed to David, F..

At least 19 recordsLinked to original sources

Sharp and Fast Dynamic Extraction and Tracking of Emitted Cellular Transients

Genetically encoded fluorescent sensors have expanded our ability to image cellular activity and transmitter release. Yet, sparse and low-salience events remain difficult to resolve against complex and fluctuating fluorescence backgrounds. Here we introduce DETECT, Dynamic Extraction and Tracking of Emitted Cellular Transients, which combines adaptive background suppression, probabilistic classification and multi-object tracking to extract fluorescence events while preserving their identity. Across synthetic datasets, DETECT improved detection and segmentation accuracy and reduced computational cost relative to established event-based methods. We validated DETECT across confocal, two-photon and miniscope imaging, ex vivo and in vivo, using calcium indicators and monoamine sensors. Beyond its technical performance, DETECT extends event-based analysis to low-salience fluorescence signals while resolving events spanning broad ranges of amplitude, morphology and dynamics. By resolving spontaneous dopamine and noradrenaline signals as distinct, trackable release events, DETECT reveals the spatiotemporal organization of neuromodulatory activity and provides a broadly applicable approach to quantitative fluorescence analysis.

neuroscience↗

Thalamocortical coupling and cortical E-I balance generate diverse anesthetic α-spindles for interpretable EEG decoding

The neuronal circuits generating frequency (8-13Hz) oscillatory patterns during anesthesia are poorly understood, making their use difficult in predictive medicine. Here, we combine large-scale in vivo recordings of thalamocortical neuronal ensembles in anesthetized mice with a minimal neural mass model. We report non-rhythmic, weakly synchronized firing of thalamic and cortical neurons correlated with oscillatory patterns, indicating an emergent network rather than cellular dynamics. The associated imbalance between the firing of excitatory and inhibitory cortical neurons, together with an increase in firing fluctuations, favors larger amplitudes oscillations, whereas changes in thalamic neuron output control oscillation frequency. A neural mass model, comprising reciprocally connected excitatory and inhibitory cortical and thalamic neurons well reproduces the oscillation patterns observed in vivo at increasing anesthetic doses. These results provide a direct link between EEG oscillations during anesthesia and their underlying network/cellular dynamics which are well captured by a computational model that is clinically relevant for anesthetized brain state monitoring. HighlightsO_LI transient patterns during anesthesia emerge from thalamocortical and cortical excitatory-inhibitory (E-I) network dynamics. C_LIO_LI pattern frequency and amplitude reflect depth of anesthesia, dynamic thalamocortical equilibrium and E-I imbalance. C_LIO_LIEmergence of spindle-like patterns at multiple frequency defines newly characterized brain-state during anesthesia C_LIO_LIA mass-model reproduces the transient nature and spectral diversity of anesthetic-induced oscillations, linking neural circuit mechanisms to EEG output. C_LI

neuroscience↗

Reproducibility of Scientific Claims in Drosophila Immunity: A Retrospective Analysis of 400 Publications

Drosophila immunity has been the focus of intense study and has impacted other research fields including innate immunity and agriculturally or epidemiologically relevant investigations of insect pests and vectors. Unsurprisingly for such a large body of work, some published results were later found to be irreplicable. Although some results have been contradicted in the literature, many have no published follow-up, either due to a lack of research or low motivation to publish negative or contradictory results. We have addressed this by performing a reproducibility project that analyses the conceptual replicability of claims from articles published on Drosophila immunity before 2011. To assess replicability, we extracted claims from 400 articles on the Drosophila immune response to bacteria and fungi and performed preliminary verification by comparing these claims to other published literature in the field. Using alternative approaches, we also experimentally tested some unchallenged claims, with no published follow-up. The intent of this analysis was to centralize evidence on insights and findings to improve clarity for scientists that may base research programs on these data. Although the aim of the ReproSci project is to assess the replicability of claims made in articles published in the field of Drosophila immunity, it is in no way an assessment of the scientific value of the research. All our data are published on a publicly available website associated with this article (https://ReproSci.epfl.ch/) that encourages community participation. This article provides a short summary of claims that were found to have contradictory evidence, which may help the community to assess past findings on Drosophila immunity and improve clarity going forward. Statistical analysis of this reproducibility study and metascience insights obtained from this approach are discussed in a companion article.

genetics↗

A retrospective analysis of 400 publications reveals patterns of irreproducibility across an entire life sciences research field

The ReproSci project retrospectively analyzed the conceptual replicability of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a comprehensive assessment, 14 years later, of the replicability of nearly all publications across an entire scientific community in experimental life sciences. We found that 61% of claims were verified, while only 7% were directly challenged (not replicable), a replicability rate higher than previous assessments. Notably, 24% of claims had never been independently tested and remain unchallenged. We performed experimental validations of a selection of 45 unchallenged claim, that revealed that a significant fraction (38/45) of them is in fact non-replicable. We also found that high-impact journals and top-ranked institutions are more likely to publish challenged claims. In line with the reproducibility crisis narrative, the rates of both challenged and unchallenged claims increased over time, especially as the field gained popularity. We characterized the uneven distribution of irreplicability among first and last authors. Surprisingly, irreplicability rates were similar between PhD students and postdocs, and did not decrease with experience or publication count. However, group leaders, who had prior experience as first authors in another Drosophila immunity team, had lower irreplicability rates, underscoring the importance of early-career training. Finally, authors with a more exploratory, short-term engagement with the field exhibited slightly higher rates of challenged claims and a markedly higher proportion of unchallenged ones. While limited by its reliance on published literature, this systematic, field-wide retrospective study offers meaningful perspective into the ongoing discussion on reproducibility in experimental life sciences.

scientific communication and education↗

Carotenoid-based immune response in sea cucumbers relies on newly identified coelomocytes -- the carotenocytes

Sea cucumbers (Holothuroidea, Echinodermata) are marine deuterostomes possessing a complex innate immune system composed of a wide diversity of immune cells--coelomocytes, making them compelling models for exploring the evolution of immunity. This study investigates the functional specialisation of coelomocytes within the two main echinoderm body fluids, namely the perivisceral fluid (PF) from the perivisceral cavity and the hydrovascular fluid (HF) from the hydrovascular-- ambulacral system. Given their specific distribution restricted to the HF, hemocyte-like cells (HELs) are particularly investigated. In echinoderms, hemocytes have been described as reddish cells containing haemoglobin and thus presenting a function in oxygen transport. Using an integrative approach combining cell morphological analyses, pigment profiling and multi-omics technologies, we demonstrate, in the sea cucumber Holothuria forskali, that HELs harbour exceptionally high concentrations of carotenoids, primarily canthaxanthin and astaxanthin--potent antioxidant molecules responsible for their pigmentation. Transcriptomics and proteomics analyses reveal that HELs express candidate genes involved in the carotenoid metabolism pathway as well as catalase, an antioxidant enzyme. Additionally, spectral flow cytometry assays reveal that HELs do not produce reactive oxygen species in contrast to most coelomocyte types, reinforcing the hypothesis of their antioxidant function. HELs also contribute to the formation of large red bodies (i.e., coelomocyte aggregates) and increase in concentration following lipopolysaccharide injections, indicating an active role in immune defence. Given these results, we hypothesise that these cells act after the culmination of the immune response, forming an antioxidant shell around the cellular aggregates to mitigate oxidative stress from reactive oxygen species (ROS) produced within the aggregate while encapsulating pathogens, thus protecting the host tissues. The discovery of carotenoid-carrying coelomocytes constitutes the first report of pigmented coelomocytes in sea cucumbers (except respiratory pigments), challenging the long-standing assumption that these cells contain haemoglobin. Therefore, we propose renaming hemocytes into carotenocytes, at least in this species. However, we think that this newly described coelomocyte type has been wrongly identified as haemoglobin-containing cells in many previous studies and could be present in many other holothuroid species. Our findings thus establish a new paradigm in the study of coelomocytes in echinoderms as well as the function of the hydrovascular system, unique to this phylum.

evolutionary biology↗

Deep-learning models of the ascending proprioceptive pathway are subject to illusions

Proprioception is essential for perception and action. Like any other sense, proprioception is also subject to illusions. In this study, we model classic proprioceptive illusions in which tendon vibrations lead to biases in estimating the state of the body. We investigate these illusions with task-driven models that have been trained to infer the state of the body from distributed sensory muscle spindle inputs (primary and secondary afferents). Recent work has shown that such models exhibit representations similar to the neural code along the ascending proprioceptive pathway. Importantly, we did not train the models on illusion experiments and simulated muscle-tendon vibrations by considering their effect on primary afferents. Our results demonstrate that task-driven models are indeed susceptible to proprioceptive illusions, with the magnitude of the illusion depending on the vibration frequency. This work illustrates that primary afferents alone are sufficient to account for these classic illusions and provides a foundation for future theory-driven experiments.

neuroscience↗

Biosensor-Assisted Laboratory Evolution of Malonyl-CoA production in Saccharomyces cerevisiae

The production of bio-based chemicals and fuels through microbial engineering offers a promising and sustainable alternative to petroleum-based fuels and chemicals, with the potential for scalability. However, engineering microbes and continuously evolving them to enhance the production of industrially relevant products is a complex and challenging task, requiring precise selection of genetic traits to achieve desired outcomes. In this study, we report the development of a novel counter-selectable growth-sensitive malonyl-CoA platform strain by coupling the malonyl-CoA repressor FapR from Bacillus subtilis to essential gene promoters involved in glucose growth and the plasma membrane arginine permease. This platform strain was then coupled with a CRISPR-dCas9 guide-RNA (gRNA) library, which after multiple rounds of dilutions and library sequencing, resulted in the enrichment for gRNAs that increased fluxes towards malonyl-CoA. The enriched gRNAs were validated for their effects on growth enhancement, gene regulation, and the production of an industrially relevant malonyl-CoA product, namely 3-hydroxypropionic acid. This study highlights an innovative approach to microbial engineering and opens up avenues for further exploration in the field of laboratory continuous evolution.

bioengineering↗

Engineering Yeast to Improve Heterologous Abscisic Acid Production

Abscisic acid (ABA) is a high-value product with agricultural, medical and nutritional applications. We previously constructed an ABA cell factory by expressing the ABA metabolic pathway from Botrytis cinerea in the biotechnological workhorse Saccharomyces cerevisiae. In this study, we aimed to improve ABA production and explored various rational engineering targets mostly focusing on increasing the activity of two rate-limiting cytochrome P450 monooxygenases of the ABA pathway, BcABA1 and BcABA2. We evaluated the effects of overexpression and knock-down of cell membrane transporters, expression of heterologous cytochrome b5, overexpression of a rate-limiting heme biosynthesis gene and overexpression or knock-out of genes involved in ER membrane homeostasis. One of the genes involved in ER membrane homeostasis, PAH1, was identified as the most promising engineering target. Knock-out of PAH1 improved ABA titers, but also caused a sever growth defect. By replacing the PAH1 promoter with a weak minimal promoter, it was possible to mediate the growth defect while still improving ABA production. In this report we were able to improve the ABA cell factory and furthermore provide valuable insights for future studies aiming to engineer cytochrome P450 monooxygenases. One-sentence summaryIn this study we explored various strategies to improve heterologous abscisic acid production in Saccharomyces cerevisiae and identified fine-tuning of the PAH1 gene as a promising engineering strategy.

bioengineering↗

Sense and Screen-ability: Development of tuneable, biosensor-based screening platforms for abscisic acid

The activities of heterologous enzymes often limit the production titers, rates and yields of cell factories. With the help of biosensors, large random mutagenesis libraries can be screened for improved enzyme variants in a high-throughput manner, even if the enzyme-of-interest is poorly characterised. We previously constructed a Saccharomyces cerevisiae cell factory for the heterologous production of abscisic acid (ABA), a high-value product with a broad range of applications in medicine, agriculture and nutrition. In the current study, we developed high-throughput screening platform strains for two rate-limiting cytochrome P450 monooxygenases, BcABA1 and BcABA2, in the ABA biosynthetic pathway. The screening platforms are designed to minimize the occurrence of false positives during screening experiments. We thoroughly characterised two plant protein-based ABA biosensor candidates. Furthermore, we designed a simple genetic switch, based on the thiamine-repressible promoter pTHI4, to regulate the expression level of enzyme variants. We demonstrated that ABA production can be fine-tuned by varying thiamine concentration in the media. In-depth analysis of the platform strains revealed that screening conditions can be optimized by varying thiamine concentration and cultivation time, making it possible to utilize the full dynamic and operational range of the biosensor. In the future, the constructed strains can be used to screen for improved BcABA1 and BcABA2 variants.

bioengineering↗

Supervised generative design of regulatory DNA forgene expression control

In order to control gene expression, regulatory DNA variants are commonly designed using random synthetic approaches with mutagenesis and screening. This however limits the size of the designed DNA to span merely a part of a single regulatory region, whereas the whole gene regulatory structure including the coding and adjacent non-coding regions is involved in controlling gene expression. Here, we prototype a deep neural network strategy that models whole gene regulatory structures and generates de novo functional regulatory DNA with prespecified expression levels. By learning directly from natural genomic data, without the need for large synthetic DNA libraries, our ExpressionGAN can traverse the whole sequence-expression landscape to produce sequence variants with target mRNA levels as well as natural-like properties, including over 30% dissimilarity to any natural sequence. We experimentally demonstrate that this generative strategy is more efficient than a mutational one when using purely natural genomic data, as 57% of the newly-generated highly-expressed sequences surpass the expression levels of natural controls. We foresee this as a lucrative strategy to expand our knowledge of gene expression regulation as well as increase expression control in any desired organism for synthetic biology and metabolic engineering applications.

synthetic biology↗

Fly Cell Atlas: a single-cell transcriptomic atlas of the adult fruit fly

The ability to obtain single cell transcriptomes for stable cell types and dynamic cell states is ushering in a new era for biology. We created the Tabula Drosophilae, a single cell atlas of the adult fruit fly which includes 580k cells from 15 individually dissected sexed tissues as well as the entire head and body. Over 100 researchers from the fly community contributed annotations to >250 distinct cell types across all tissues. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types that are shared between tissues, such as blood and muscle cells, allowed the discovery of rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the entire Drosophila community and serves as a comprehensive reference to study genetic perturbations and disease models at single cell resolution.

genomics↗

Neocortical rhythm entrainment by parvalbumin-positive interneurons across cortical layers

Neocortical interneurons provide inhibition responsible for organizing neuronal activity into brain oscillations that subserve cognitive functions such as memory, attention or prediction. However, little is known about the interneuronal contribution to the entrainment of neocortical oscillations within and across different cortical layers. Here, using layer-specific optogenetic stimulations with micro-Light-Emitting Diode ({micro}LED) arrays, directed toward parvalbumin-expressing (PV) interneurons in non-anesthetized awake mice, we found that supragranular layer stimulations of PV neurons were most efficient at entraining supragranular local field potential (LFP) oscillations at gamma frequencies ({gamma}: 25 - 80 Hz), whereas infragranular layer stimulation of PV neurons better entrained the LFP at delta ({delta}: 2 - 5 Hz) and theta ({theta}: 6 - 10 Hz) frequencies. At the level of neuronal action potential activity, we observed that supragranular neurons better followed the imposed PV stimulation rhythm than their infragranular counterparts at most frequencies when the stimulation was delivered in their respective layer. Moreover, the neuronal entrainment evoked by local stimulation could propagate across layers, though with a lesser impact when the stimulation occurs in deep layers, suggesting an orientation-selective propagation. These results establish a layer-based framework for oscillation to entrain the primary somatosensory cortex in awake conditions.

neuroscience↗

Systemic administration of Ivabradine, an HCN channel inhibitor, blocks spontaneous absence seizures

ObjectiveHyperpolarization-activated cyclic nucleotide-gated (HCN) channels are known to be involved in the generation of absence seizures (ASs), and there is evidence that cortical and thalamic HCN channel dysfunctions may have a pro-absence role. Many HCN channel blockers are available, but their role in ASs has been investigated only by localized brain injection or in in vitro model systems due to their limited brain availability. Here, we investigated the effect on ASs of orally administered ivabradine (an HCN channel blocker approved for the treatment of heart failure in humans) following injection of the P-glycoprotein inhibitor elacridar, that is known to increase penetration into the brain of drug substrates for this efflux transporter. The action of ivabradine was also tested following in vivo microinjection in the cortical initiation network (CIN) of the somatosensory cortex and in the thalamic ventrobasal nucleus (VB) as well as on cortical and thalamocortical neurons in brain slices. MethodsWe used EEG recordings in freely moving Genetic Absence Epilepsy from Strasbourg Rats (GAERS) to assess the action of oral administration of ivabradine, with and without elacridar, on ASs. Ivabradine was also microinjected in the CIN and VB of GAERS in vivo and applied to Wistar CIN and GAERS VB slices while recording patch-clamped cortical layer 5/6 and thalamocortical neurons, respectively. ResultsOral administration of ivabradine markedly and dose-dependently reduced ASs. Ivabradine injection in CIN abolished ASs and elicited small-amplitude 4-7 Hz waves (without spikes), whereas in the VB it was less potent. Moreover, ivabradine applied to GAERS VB and Wistar CIN slices selectively decreased HCN-channel-dependent properties of cortical layer 5/6 pyramidal and thalamocortical neurons, respectively. SignificanceThese results provide the first demonstration of the anti-absence action of a systemically administered HCN channel blocker, indicating the potential of this class of drugs as a novel therapeutic avenue for ASs.

neuroscience↗

Long non-coding RNA Neat1 is a key translational regulator in hypoxia.

Internal ribosome entry sites (IRESs) drive translation initiation during stress. In response to hypoxia, (lymph)angiogenic factors responsible for tissue revascularization in ischemic diseases are induced by the IRES-dependent mechanism. Here we searched for IRES trans-acting factors (ITAFs) active in early hypoxia in mouse cardiomyocytes. Using knock-down and proteomics approaches, we show a link between a stressed-induced nuclear body, the paraspeckle, and IRES-dependent translation. Furthermore, smiFISH experiments demonstrate the recruitment of IRES-containing mRNA into paraspeckle during hypoxia. Our data reveal that the long non-coding RNA Neat1, an essential paraspeckle component, is a key translational regulator, active on IRESs of (lymph)angiogenic and cardioprotective factor mRNAs. In addition, paraspeckle proteins p54nrb and PSPC1 as well as nucleolin and Rps2, two p54nrb-interacting proteins identified by mass spectrometry, are ITAFs for IRES subgroups. Paraspeckle thus appears as a platform to recruit IRES-containing mRNAs and possibly host IRESome assembly. Polysome PCR array shows that Neat1 isoforms regulate IRES-dependent translation and, more widely, translation of mRNAs involved in stress response. HighlightsO_LIParaspeckle formation correlates with activation of translation via internal ribosome entry sites (IRES) in mouse hypoxic cardiomyocytes as well as in tumoral cells. C_LIO_LIThe long non-coding RNA Neat1, an essential paraspeckle component, is a key translational regulator of (lymph)angiogenic and cardioprotective factor expression in this process. C_LIO_LIIRES-containing mRNA is recruited into paraspeckles during hypoxia. C_LIO_LIParaspeckle proteins p54nrb and PSPC1 as well as two p54nrb-interacting proteins, nucleolin and RPS2, contribute to this process. C_LIO_LIParaspeckle appears as a platform for IRESome formation in the nucleus. C_LIO_LIThe Neat1 isoforms widely regulate the translation of mRNAs containing IRESs and of genes involved in the stress response. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/430272v2_ufig1.gif" ALT="Figure 1"> View larger version (98K): org.highwire.dtl.DTLVardef@1741648org.highwire.dtl.DTLVardef@62e741org.highwire.dtl.DTLVardef@13c86a8org.highwire.dtl.DTLVardef@acae63_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Does co-expression of Yarrowia lipolytica genes encoding Yas1p, Yas2p and Yas3p make a potential alkane-responsive biosensor in Saccharomyces cerevisiae?

Alkane-based biofuels are desirable to produce at a commercial scale as these have properties similar to our current petroleum-derived transportation fuels. Rationally engineering microorganisms to produce a desirable compound, such as alkanes, is, however, challenging. Metabolic engineers are therefore increasingly implementing evolutionary engineering approaches combined with high-throughput screening tools, including metabolite biosensors, to identify productive targets. Engineering Saccharomyces cerevisiae to produce alkanes can be facilitated by using an alkane-responsive biosensor, which can potentially be developed from the native alkane-sensing system in Yarrowia lipolytica, a well-known alkane-assimilating yeast. This putative alkane-sensing system is, at least, based on three different transcription factors (TFs) named Yas1p, Yas2p and Yas3p. Although this system is not fully elucidated in Y. lipolytica, we were interested in evaluating the possibility of translating this system into an alkane-responsive biosensor in S. cerevisiae. We evaluated the alkane-sensing system in S. cerevisiae by developing one sensor based on the native Y. lipolytica ALK1 promoter and one sensor based on the native S. cerevisiae CYC1 promoter. In both systems, we found that the TFs Yas1p, Yas2p and Yas3p do not seem to act in the same way as these have been reported to do in their native host. Additional analysis of the TFs suggests that more knowledge regarding their mechanism is needed before a potential alkane-responsive sensor based on the Y. lipolytica system can be established in S. cerevisiae.

synthetic biology↗

Why not record from every channel with a CMOS scanning probe?

It is an uninformative truism to state that the brain operates at multiple spatial and temporal scales, each with each own set of emergent phenomena. More worthy of attention is the point that our current understanding of it cannot clearly indicate which of these phenomenological scales are the significant contributors to the brains function and primary output (i.e. behaviour). Apart from the sheer complexity of the problem, a major contributing factor to this state of affairs is the lack of instrumentation that can simultaneously address these multiple scales without causing function altering damages to the underlying tissue. One important facet of this problem is that standard neural recording devices normally require one output connection per electrode. This limits the number of electrodes that can fit along the thin shafts of implantable probes generating a limiting balance between density and spread. Sharing a single output connection between multiple electrodes relaxes this constraint and permits designs of ultra-high density probes. Here we report the design and in-vivo validation of such a device, a complementary metal-oxide-semiconductor (CMOS) scanning probe with 1344 electrodes; the outcome of the European research project NeuroSeeker. We show that this design targets both local and global spatial scales by allowing the simultaneous recording of more than 1000 neurons spanning 7 functional regions with a single shaft. The neurons show similar recording longevity and signal to noise ratio to passive probes of comparable size and no adverse effects in awake or anesthetized animals. Addressing the data management of this device we also present novel visualization and monitoring methods. Using the probe with freely moving animals we show how accessing a number of cortical and subcortical brain regions offers a novel perspective on how the brain operates around salient behavioural events. Finally, we compare this probe with lower density, non CMOS designs (which have to adhere to the one electrode per output line rule). We show that an increase in density results in capturing neural firing patterns, undetectable by lower density devices, which correlate to self-similar structures inherent in complex naturalistic behaviour. To help design electrode configurations for future, even higher density, CMOS probes, recordings from many different brain regions were obtained with an ultra-dense passive probe.

neuroscience↗

Ehmt1 forebrain haploinsufficiency leads to impaired memory, sensory gating and information processing

Regulators of chromatin dynamics and transcription are increasingly implicated in the aetiology of neurodevelopmental disorders (NDDs). Haploinsufficiency of EHMT1, encoding a histone methyl-transferase, is associated with several NDDs, including Kleefstra syndrome, developmental delay and autism spectrum disorder. Using a mouse model of Ehmt1 haploinsufficiency (Ehmt1D6Cre/+), we examined a number of brain and behavioural endophenotypes of relevance to NDDs. Specifically, we show that Ehmt1D6Cre/+ mice have deficits in information processing, evidenced by abnormal sensory-motor gating, a complete absence of object recognition memory and a reduced magnitude of auditory evoked potentials in both paired-pulse inhibition and mismatch negativity (MMN). The electrophysiological experiments show that differences in magnitude response to auditory stimulus were associated with marked reductions in total and evoked beta- and gamma-band oscillatory activity, as well as significant reductions in phase synchronisation. The pattern of electrophysiological deficits in Ehmt1D6Cre/+ matches those seen in control mice following administration of the selective NMDA-R antagonist, ketamine. This, coupled with reduction of Grin1 mRNA expression in Ehmt1D6Cre/+ hippocampus, suggests that Ehmt1 haploinsufficiency may lead to disruption in NMDA-R. Taken together, these data indicate that reduced Ehmt1 dosage during forebrain development leads to abnormal circuitry formation, which in turn results in profound information processing deficits. Such information processing deficits are likely paramount to our understanding of the cognitive and neurological dysfunctions shared across the NDDs associated with EHMT1 haploinsufficiency.

neuroscience↗

Engineering Lipid Droplet Assembly Mechanisms for Improved Triacylglycerols Accumulation in S. cerevisiae

Production of triacylglycerols (TAGs) through microbial fermentation is an emerging alternative to plant and animal-derived sources. The yeast Saccharomyces cerevisiae is a preferred organism for industrial use but has natively a very poor capacity of TAG production and storage. Here, we engineered S. cerevisiae for accumulation of high TAG levels through the use of structural and physiological factors that influence assembly and biogenesis of lipid droplets. First, human and fungal perilipin genes were expressed, increasing TAG content by up to 36% when expressing the human perilipin gene PLIN3. Secondly, expression of the FIT2 homologue YFT2 resulted in a 26% increase in TAG content. Lastly, the genes ERD1 and PMR1 were deleted in order to induce an ER stress response and stimulate lipid droplet formation, increasing TAG content by 72% for {Delta}erd1, with an additive effect for both YFT2 and PLIN3 expression. These new approaches were implemented in previously engineered strains that carry high flux of fatty acid biosynthesis and conversion of acyl-CoA into TAG, resulting in improvements of up to 138% over those high-producing strains without any substantial growth effects or abnormal cell morphology. We find that these approaches are not only a major advancement in engineering S. cerevisiae for TAG production, but also highlight the importance of lipid droplet dynamics for high lipid accumulation in yeast.

bioengineering↗