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Ferrai, C.

Publications and source records attributed to Ferrai, C..

5 recordsLinked to original sources

The Interaction with Nanotopographical Environment regulates nuclear mechanoresponse in mESCs via Histone Demethylase KDM3A

Cell identity is traditionally viewed as a product of biochemical signalling, yet cells are exposed to defined physical landscapes, whose role in fate control remains unclear. In particular, how pluripotent stem cells integrate nanoscale extracellular cues into gene regulatory programs remains poorly understood. Here, we show that biomimetic substrate nanotopography acts as a potent regulator of naive pluripotency in mouse embryonic stem cells (mESCs). Using supersonic cluster beam deposition, we generate substrates with defined nanotopography that recapitulate native features of extracellular matrix. We demonstrate that nanotopography induces a mechanically relaxed cell state characterised by reduced adhesion, cellular and nuclear softening, and altered nuclear architecture. These mechanical changes are coupled with chromatin remodelling, including reduced H3K27me3 and H3K9me2, redistribution of H3K9me3, and increased H3K4me3. Transcriptomic analyses reveal suppression of adhesion- and cytoskeleton-associated programs together with the activation of a naive pluripotency transcriptional signature, including upregulation of Nanog. Mechanistically, we identify the H3K9 demethylase KDM3A as a mechanosensitive epigenetic regulator required for nanotopography-induced Nanog expression. Together, our findings uncover a novel mechanotransductive pathway directly linking extracellular nanotopography to chromatin state and pluripotency control.

molecular biology↗

Variant U1 snRNAs contribute to cell cycle and differentiation control of human iPS cells

Maintenance of stem cell identity as well as differentiation of stem cells into the various lineages requires intricate regulation of gene expression. Despite intensive research, our understanding of these regulatory networks remains incomplete. Here, we focus on the understudied paralogs of the U1 small nuclear RNA (snRNA) gene known as variant U1 (vU1) snRNAs. By generating isogenic knockout lines of human induced pluripotent stem cells for two different vU1s, we show that their loss profoundly changes both hiPSC gene expression and cell cycle profiles. These changes appear to manifest at the level of alternative splicing choices, including those at recursive splicing sites, and lead to the differential availability of stem cell regulators. Together, our results shed new light on the function of vU1 snRNAs and further our understanding of the programs controlling human pluripotency.

genomics↗

Specialised super-enhancer networks in stem cells and neurons

Super-enhancers (SEs) are clusters of enhancers with high transcriptional activity that play essential roles in defining cell identity through regulation of nearby genes. SEs preferentially form multiway chromatin interactions with other SEs and highly transcribed regions in embryonic stem cells. However, the properties of the interacting SEs and their specific contributions to complex regulatory interactions in differentiated cell types remain poorly understood. Here, we compare the structural and functional properties of SEs between embryonic stem cells (ESCs) and dopaminergic neurons (DNs) by combining Genome Architecture Mapping (GAM), chromatin accessibility, histone modification, and transcriptome data. Most SEs are cell-type specific and establish extensive pairwise and multiway chromatin interactions with other SEs and genes with cell-type specific expression. SE interactions span megabase genomic distances and frequently connect distant topologically associating domains. By applying network centrality analyses, we detected SEs with different hierarchical importance. Highest network centrality SEs contain binding motifs for cell-type specific transcription factors, and are candidate regulatory hubs. The functional heterogeneity of SEs is also highlighted by their organisation into modular sub-networks that differ in structure and spatial scale between ESCs and DNs, with more specific and strongly connected SE modules in post-mitotic neurons. Our results uncover both the high complexity and specificity of SE-based 3D regulatory networks and provide a resource for prioritizing SEs with potential roles in transcriptional regulation and disease.

genomics↗

Sonoepigenetics: Spatiotemporal Calcium Dynamics and cAMP Signaling Driven by High Frequency Nanomechanostimulation Regulates Transient Epigenetic Modifications and Early Osteogenic Commitment in Mesenchymal Stem Cells

Cells effectively balance and integrate numerous pathways to adapt to external signals in an attempt to regain homeostasis, although the complex nuclear mechanotransduction mechanism through which this occurs is not as yet fully understood. Contrary to prevalent thought that the relay of extracellular cues to the nucleus to effect its fate and function predominantly relies on direct transmission through the cytoskeletal structure, we demonstrate, through the use of high frequency (10 MHz) nanomechanostimulation, that induced fluctuations of the cells nuclear chromatin response are primarily influenced by the spatiotemporal dynamics associated with the bidirectional crosstalk between two key second messengers, namely calcium (Ca2+) and cyclic adenosine monophosphate (cAMP). We show that this conditioning is an adaptive response to the mechanostimuli and correlates with a mechanopriming effect. Notably, brief (10 mins) daily exposure to the mechanostimulation was sufficient to direct mesenchymal stem cells toward an osteogenic lineage in as little as three days--without the need for osteogenic factors.

cell biology↗

Transcriptional clusters follow a conserved condensation-dispersal sequence during stem cell differentiation

Spatiotemporal organization of transcription is essential for organism development. Most eukaryotic genes are transcribed by RNA polymerase II (Pol II). In stem cells, Pol II forms prominent clusters, which gradually disappear during differentiation, such that only smaller clusters remain. Here, we ask whether the formation and loss of large Pol II clusters is a stereotypical process explicable by changes in the Pol II transcriptional state during differentiation. We assess clusters by super-resolution microscopy in differentiating mouse embryonic stem cells, sperm precursor formation in fruit flies, and germ layer induction in zebrafish. In all cases, Pol II clusters first become larger and rounder, then unfold, and finally disperse into small clusters. These shape changes are accompanied by initial increase in recruited Pol II, subsequent transition into transcript elongation, and finally reduction of active enhancers. We reproduce these observations using a biophysical surface condensation model, where enhancers support Pol II cluster formation, and transcriptional activity unfolds clusters. Our work indicates that changes in enhancer marks and transcriptional activity during differentiation define a stereotyped trajectory through a generally applicable space of cluster shapes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=189 HEIGHT=200 SRC="FIGDIR/small/547621v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1fb769borg.highwire.dtl.DTLVardef@27f6a0org.highwire.dtl.DTLVardef@1b0ab7corg.highwire.dtl.DTLVardef@1ca932d_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗