Biology subjects

Cremisi, F.

Publications and source records attributed to Cremisi, F..

6 recordsLinked to original sources

bioRxiv2026

1,3-1,6 β-glucans reduce aging hallmarks in multiple organs and rapidly induce mitochondrial biogenesis and autophagy via direct effect on the killifish brain and human neurons

The short-lived annual fish Nothobranchius furzeri (Nfu) is a powerful vertebrate model for aging research due to its rapid lifespan and accelerated development of age-associated phenotypes, including gliosis and lipofuscin accumulation. Here, we investigated the effects of dietary 1,3-1,6 {beta}-glucans (BGs), natural polysaccharides derived from Saccharomyces cerevisiae, on aging-related processes across multiple tissues, with particular focus on the brain. Chronic treatment with BG-fortified food reduced several hallmarks of aging in multiple organs. Mechanistically, BG treatment modulated pathways associated with autophagy, lysosomal function, protein oxidation, and inflammation. Both acute and chronic BG administration increased autophagic activity in the aging brain, although lipofuscin accumulation was not affected. To assess whether BGs act directly on neural tissue, we established an ex-vivo Nfu brain culture system that recapitulates the age-dependent decline in autophagy observed in vivo. In this model, acute BG treatment restored impaired autophagy and promoted mitochondrial and lysosomal biogenesis in aged brains. Proteomic analyses revealed increased mitochondrial respiration and modulation of V-ATPase components involved in autophagosome acidification. Depletion of microglia reduced but not eliminated this effect, suggesting direct action of BGs on neurons. To verify the validity of these findings in humans, we performed BG treatment in human iPSC-derived neurons under conditions of impaired autophagy and found an increase in survival. Together, these findings identify {beta}-glucans as modulators of autophagy, mitochondrial function, and inflammation, highlighting their potential to promote healthy aging.

neuroscience↗

bioRxiv2025

METTL9 sustains vertebrate neural development primarily via non-catalytic functions

METTL9 is an enzyme catalysing N1-methylation of histidine residues (1MH) within eukaryotic proteins. Given its high expression in vertebrate nervous system and its potential association with neurodevelopmental delay, we dissected Mettl9 role during neural development. We generated three distinct mouse embryonic stem cell lines: a complete Mettl9 knock-out (KO), an inducible METTL9 Degron and a line endogenously expressing a catalytically inactive protein, and assessed their ability to undergo neural differentiation. In parallel, we down-regulated mettl9 in Xenopus laevis embryos and characterised their neural development. Our multi-omics data indicate that METTL9 exerts a conserved role in sustaining vertebrate neurogenesis. This is largely independent of its catalytic activity and occurs through modulation of the secretory pathway. METTL9 interacts with key regulators of cellular transport, endocytosis and Golgi integrity; moreover, in Mettl9KO cells Golgi becomes fragmented. Overall, we discovered the first developmental function of Mettl9 and linked it to a 1MH-independent pathway, namely, the maintenance of the secretory system, which is essential throughout neural development.

developmental biology↗

bioRxiv2025

A proper Excitatory/Inhibitory ratio is required to develop synchronized network activity in mouse cortical cultures

Excitatory/inhibitory (E/I) balance is thought to play a key role in cortical activity development. However, the modeling of cortical networks with different E/I ratios is not feasible in vivo. To address this point, we modeled an in vitro cortical network deployed of the inhibitory neurons normally migrating from the ventral telencephalon. Moreover, we implemented striatal cultures and co-cultures with mixed proportions of cortical and striatal neurons. The resulting cultures contained various proportions of inhibitory Parvalbumin (PV)+ neurons, ranging from 7% to 73%. Interestingly, these pure and mixed cortical/striatal cultures exhibited four distinct patterns of spontaneous activity and functional connectivity. Our findings highlighted a critical role for the inhibitory component in developing correlated network activity. Unexpectedly, cortical networks with 7% of PV+ neurons were not able to generate appreciable network burst activity due to the development of a strong network inhibition, despite their lowest E/I ratio. Our observations support the notion that an optimal ratio of PV+ neurons during cortical development is essential for the establishment of local inhibitory networks capable of generating and spreading correlated activity. HighlightsO_LIIn vitro neurogenesis models the development of mouse cortical network devoid of inhibitory neurons C_LIO_LICortical network with low inhibitory neuron ratio develops poor synchronized network activity C_LIO_LIGABA inhibition unmask intrinsic network ability to generate highly synchronized activity C_LIO_LINetwork response to single node stimulus depends on optimal inhibitory neuron ratio C_LIO_LIA proper excitatory/inhibitory ratio is necessary for the development of network burst activity C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=181 HEIGHT=200 SRC="FIGDIR/small/640720v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@3ee4org.highwire.dtl.DTLVardef@210461org.highwire.dtl.DTLVardef@1a693eforg.highwire.dtl.DTLVardef@13a6e4e_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2020

An Eutherian-Specific microRNA Controls the Translation of Satb2 in a Model of Cortical Differentiation

Cerebral cortical development is controlled by key transcription factors that specify the neuronal identities in the different cortical layers. These transcription factors are crucial for the identity of the different neurons, but the mechanisms controlling their expression in distinct cells are only partially known. Here we investigate the expression and stability of the mRNAs of Tbr1, Bcl11b, Fezf2, Satb2 and Cux1 in single developing mouse cortical cells. We focus on Satb2 and find that its mRNA expression occurs much earlier than its protein synthesis and in a set of cells broader than expected, suggesting an initially tight control of its translation, which is subsequently de-repressed at late developmental stages. Mechanistically, Satb2 3UTR modulates protein translation of GFP reporters during mouse corticogenesis. By in vitro pull-down of Satb2 3UTR-associated miRNAs, we select putative miRNAs responsible for SATB2 inhibition, focusing on those strongly expressed in early progenitor cells and reduced in late cells. miR-541, an Eutherian-specific miRNA, and miR-92a/b are the best candidates and their inactivation triggers robust and premature SATB2 translation in both mouse and human cortical cells. Our findings indicate that RNA interference plays a major role in the timing of cortical cell identity and may be part of the toolkit involved in specifying supra-granular projection neurons.

developmental biology↗

bioRxiv2020

COTAN: Co-expression Table Analysis for scRNA-seq data

Estimating co-expression of cell identity factors in single-cell transcriptomes is crucial to decode new mechanisms of cell state transition. Due to the intrinsic low efficiency of single-cell mRNA profiling, novel computational approaches are required to accurately infer gene co-expression in a cell population. We introduce COTAN, a statistical and computational method to analyze the co-expression of gene pairs at single cell level, providing the foundation for single-cell gene interactome analysis.

bioinformatics↗

bioRxiv2016

Assessment of Antibody Library Diversity through Next Generation Sequencing and Technical Error Compensation.

Antibody libraries are important resources to derive antibodies to be used for a wide range of applications, from structural and functional studies to intracellular protein interference studies to developing new diagnostics and therapeutics. Whatever the goal, the key parameter for an antibody library is its diversity, i.e. the number of distinct elements in the collection, which directly reflects the probability of finding in the library an antibody against a given antigen, of sufficiently high affinity. Quantitative evaluation of antibody library diversity and quality has been for a long time inadequately addressed, due to the high similarity and length of the sequences of the library. Diversity was usually inferred by the transformation efficiency and tested either by fingerprinting and/or sequencing of a few hundred random library elements. Inferring diversity from such a small sample is, however, very rudimental and gives limited information about the real complexity, because complexity does not scale linearly with sample size. Next-generation sequencing (NGS) has opened new ways to tackle the antibody library diversity quality assessment. However, much remains to be done to fully exploit the potential of NGS for the quantitative analysis of antibody repertoires and to overcome current limitations. To obtain a more reliable antibody library complexity estimate here we show a new, PCR-free, NGS approach to sequence antibody libraries on Illumina platform, coupled to a new bioinformatic analysis and software (Diversity Estimator of Antibody Library, DEAL) that allows to reliably estimate the diversity, taking in consideration the sequencing error.

bioinformatics↗