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Smallwood, S.

Publications and source records attributed to Smallwood, S..

11 recordsLinked to original sources

Optogenetic perturbations reveal temporal integration of Wnt signaling during pattern formation

The Wnt signaling pathway is a conserved regulator of tissue patterning and regeneration, yet how cells interpret dynamic Wnt inputs to generate robust developmental outcomes remains poorly understood. Here, we establish the first optogenetically activatable Hydra line, enabling precise temporal control of canonical Wnt signaling in vivo. Optogenetic stimulation induced dose-dependent patterning phenotypes whose rate of progression scaled with stimulation intensity. Transcriptomic analysis revealed that distinct combinations of signal intensity and duration converged onto shared transcriptional trajectories and could be described by an effective exposure metric that represents the cumulative signaling input. Functionally, Wnt activation rescued head regeneration under conditions that normally prevent organizer formation, and equivalent regenerative outcomes could be achieved through either strong, short-lived stimulation or weaker, prolonged activation. Together, our results indicate that Hydra tissues decode Wnt signaling through temporal integration of cumulative pathway activity, progressively accumulating transcriptional responses until patterning thresholds are reached. These findings establish a quantitative framework for understanding how dynamic morphogen signaling is translated into stable developmental decisions during regeneration.

developmental biology↗

Modular control of CpG islands by chromatin-opening transcription factors specifies transcription start sites

CpG islands (CGIs) constitute the dominant class of promoters in vertebrate genomes, yet the mechanisms underlying their transcription initiation remain unclear. Using deep learning and acute perturbation of twelve transcription factors (TFs), we show that chromatin-opening TFs are the primary determinants of initiation site selection, thereby governing promoter output. The dominant TF defines a nucleosome-free region and specifies where transcription begins by binding closest to the transcription start site. Loss of this TF redirects transcription initiation to an adjacent secondary TF position, partially buffering gene expression. Promoter variant analyses validate that this modular control of initiation is encoded in cis and programmable. This principle extends to initiation at enhancers and TATA-box promoters, where chromatin-opening TFs unmask the TATA box for focused initiation. These findings point to a common sequence grammar for transcription across promoters and enhancers, supporting a minimalist and evolvable architecture of cis-regulatory regions.

molecular biology↗

A scheduler for rhythmic gene expression

Genetic oscillators drive precisely timed gene expression, crucial for development and physiology. Using the C. elegans molting clock as a model, we investigate how oscillators can schedule the orderly expression of thousands of genes. Single cell RNA sequencing reveals a broad peak phase dispersion in individual issues, mirrored by rhythmic changes in chromatin accessibility at thousands of regulatory elements identified by time-resolved ATAC-seq. We develop a linear model to predict chromatin dynamics based on the binding of >200 transcription factors. This identifies nine key regulators acting additively to determine the peak phase and amplitude of each regulatory element. Strikingly, these factors can also generate constitutive, non-rhythmic activity through destructive interference. Validating its power, the model accurately predicts the impact of GRH-1/Grainyhead perturbation on both chromatin and transcript dynamics. This work provides a conceptual framework for understanding how combinatorial, non-cooperative transcription factor binding schedules complex gene expression patterns in development and other dynamic biological processes.

systems biology↗

The genetic architecture of the human bZIP family

Generative biology holds the promise to transform our ability to design and understand living systems by creating novel proteins, pathways, and organisms with tailored functions that address challenges in medicine, sustainability, and technology. However, training generative models requires large quantities of data that captures the genetic architecture of protein function in all its complexity, but these are currently scarce. Here, we systematically mutagenized all 54 human basic-leucine zipper (bZIP) domains and quantified their interactions with each other using bindingPCA, a quantitative deep mutational scanning assay. This resulted in [~]2 million interaction measurements, capturing the effect of all single amino acid substitutions at each of the 35 interfacial positions. We found that mutation effects are largely additive in the vicinity of each wild-type bZIPs, but diverge across the family, indicating strong context dependency. A global additive thermodynamic model provided moderate prediction of mutation effects, while individual models per bZIP achieved higher performance, supporting a model of local simplicity and global complexity. Our results therefore suggest that the genetic architecture of protein function is more complex than previously anticipated, which could hinder predictability. However, a convolutional neural network trained on this dataset could accurately predict binding scores from sequence alone. Furthermore, the model enabled the design of synthetic bZIPs with high target specificity, demonstrating practical applicability for bioengineering purposes. Our study shows that capturing family-wide diversity is essential to reveal context dependencies and train accurate quantitative models of protein-protein interactions.

biophysics↗

Progressive cell fate specification in morphallactic regeneration

Through regeneration various species replace lost parts of their body. This is achieved either by growth of new structures at the amputation side (epimorphosis), as is the case of axolotl limb regeneration, or through remodeling of the remaining tissue (morphallaxis), as happens in Hydra. Whereas work on epimorphic regeneration support a gradual proximal to distal establishment of cell identities, morphallactic regeneration is believed to rely on initial establishment of boundary conditions that organize the re-adjustment of the pattern. Performing single cell RNA sequencing during regeneration in Hydra, we revealed the sequence of cells transdifferentiation into the missing identities. We provide evidence that morphallaxis proceeds with progressive specification of cell fates, unifying its mechanism with the one found for epimorphosis.

developmental biology↗

Live-cell imaging and physical modeling reveal control of chromosome folding dynamics by cohesin and CTCF

Physical proximity between genomic sequences in mammalian chromosomes controls key biological processes such as transcriptional regulation and DNA repair. Yet it is currently unknown if chromosomal contacts are rare and stable or instead frequent and dynamic, and how they depend on the loop extrusion activity of cohesin or barriers such as CTCF. By imaging chromosomal locations at high spatial and temporal resolution over several hours in living cells, we show that sequences within topological associating domains (TADs) frequently come into physical proximity during the course of a cell cycle and remain close to each other only for a few minutes. Such contacts become nonetheless substantially longer and more frequent in the presence of convergent CTCF sites, resulting in a suppression of variability in chromosome folding in single cells across time. Supported by physical models of chromosome dynamics, our data additionally suggests that individual CTCF-anchored loops last around 10 minutes. The estimates of chromosomal contact dynamics in our study provide a novel quantitative framework to link chromosome structure to function and show that cohesin and CTCF stabilize otherwise highly dynamic chromosome structures to facilitate selected subsets of chromosomal interactions.

molecular biology↗

Nonlinear control of transcription through enhancer-promoter interactions

Chromosome structure in mammals is thought to regulate transcription by modulating the three-dimensional interactions between enhancers and promoters, notably through CTCF-mediated interactions and topologically associating domains (TADs)1-4. However, how chromosome interactions are actually translated into transcriptional outputs remains unclear. To address this question we use a novel assay to position an enhancer at a large number of densely spaced chromosomal locations relative to a fixed promoter, and measure promoter output and interactions within a genomic region with minimal regulatory and structural complexity. Quantitative analysis of hundreds of cell lines reveal that the transcriptional effect of an enhancer depends on its contact probabilities with the promoter through a non-linear relationship. Mathematical modeling and validation against experimental data further provide evidence that nonlinearity arises from transient enhancer-promoter interactions being memorized into longer-lived promoter states in individual cells, thus uncoupling the temporal dynamics of interactions from those of transcription. This uncovers a potential mechanism for how enhancers control transcription across large genomic distances despite rarely meeting their target promoters, and for how TAD boundaries can block distal enhancers. We finally show that enhancer strength additionally determines not only absolute transcription levels, but also the sensitivity of a promoter to CTCF-mediated functional insulation. Our unbiased, systematic and quantitative measurements establish general principles for the context-dependent role of chromosome structure in long-range transcriptional regulation.

molecular biology↗

Wnt3 expression as a readout of tissue stretching during Hydra regeneration

Mechanical forces shape cell fate decisions during development and regeneration in many systems. Epithelial lumen volume changes, for example, generate mechanical forces that can be perceived by the surrounding tissue and integrated into cell fate decisions. Similar behavior occurs in regenerating Hydra tissue spheroids, where periodic osmotically driven inflation and deflation cycles generate mechanical stimuli in the form of tissue stretching. Using this model, we investigate how such mechanical input guides the de novo formation of differentiated body parts. We show that the expression of the organizer-defining factor Wnt3 functions as a quantitative readout of cellular stretching and, when supplied externally, enables successful regeneration without mechanical stimulation. This finding represents a previously undescribed cellular mechanism for converting mechanical stimuli to a biochemical signaling readout and guiding cell fate transitions. It also elucidates the role of mechanical oscillations in Hydra regeneration, which long remained unclear. The presence the Wnt/mechanics interplay in Hydra and its relatives underscores the ancient evolutionary history of this crosstalk, possibly extending back to the first metazoans. Since Wnt signaling crosstalks with cellular mechanics in various developmental and disease contexts, it can also represent a conserved feature of this signaling pathway.

developmental biology↗

REPRESSION BY HDAC3 AND DAX1 MEDIATES LINEAGE RESTRICTION OF EMBRYONIC STEM CELLS

Mouse embryonic stem cells (mESCs) give rise to embryonic but not extraembryonic endoderm fates. Here, we identify the mechanism of this lineage barrier and report that the histone deacetylase Hdac3 and the corepressor Dax1 cooperatively restrict transdifferentiation of mESCs by silencing an enhancer of the extraembryonic endoderm-specifying transcription factor (TF) Gata6. This restriction is opposed by the pluripotency TFs Nr5a2 and Esrrb, which promote cell type conversion. Perturbation of the barrier extends mESC potency, and allows formation of 3D spheroids that mimic the spatial segregation of embryonic epiblast and extraembryonic endoderm in early embryos. Overall, this study shows that transcriptional repressors stabilize pluripotency by biasing the equilibrium between embryonic and extraembryonic lineages that is hardwired into the mESC TF network.

developmental biology↗

Single cell multi-omics profiling reveals a hierarchical epigenetic landscape during mammalian germ layer specification

Formation of the three primary germ layers during gastrulation is an essential step in the establishment of the vertebrate body plan. Recent studies employing single cell RNA-sequencing have identified major transcriptional changes associated with germ layer specification. Global epigenetic reprogramming accompanies these changes, but the role of the epigenome in regulating early cell fate choice remains unresolved, and the coordination between different epigenetic layers is unclear. Here we describe the first single cell triple-omics map of chromatin accessibility, DNA methylation and RNA expression during the exit from pluripotency and the onset of gastrulation in mouse embryos. We find dynamic dependencies between the different molecular layers, with evidence for distinct modes of epigenetic regulation. The initial exit from pluripotency coincides with the establishment of a global repressive epigenetic landscape, followed by the emergence of local lineage-specific epigenetic patterns during gastrulation. Notably, cells committed to mesoderm and endoderm undergo widespread coordinated epigenetic rearrangements, driven by loss of methylation in enhancer marks and a concomitant increase of chromatin accessibility. In striking contrast, the epigenetic landscape of ectodermal cells is already established in the early epiblast. Hence, regulatory elements associated with each germ layer are either epigenetically primed or epigenetically remodelled prior to overt cell fate decisions during gastrulation, providing the molecular logic for a hierarchical emergence of the primary germ layers.\n\nHighlightsO_LIFirst map of mouse gastrulation using comprehensive single cell triple-omic analysis.\nC_LIO_LIExit from pluripotency is associated with a global repressive epigenetic landscape, driven by a sharp gain of DNA methylation and a gradual decrease of chromatin accessibility.\nC_LIO_LIDNA methylation and chromatin accessibility changes in enhancers, but not in promoters, are associated with germ layer formation.\nC_LIO_LIMesoderm and endoderm enhancers become open and demethylated upon lineage commitment.\nC_LIO_LIEctoderm enhancers are primed in the early epiblast and protected from the global repressive dynamics, supporting a default model of ectoderm commitment in vivo.\nC_LI

developmental biology↗

Modeling of DNA methylation in cis reveals principles of chromatin folding in vivo in the absence of crosslinking and ligation

Mammalian chromosomes are folded into an intricate hierarchy of structural domains, within which topologically associating domains (TADs) and CTCF-associated loops partition the physical interactions between regulatory sequences. Current understanding of chromosome folding largely relies on chromosome conformation capture (3C)-based experiments, where chromosomal interactions are detected as ligation products after crosslinking of chromatin. To measure chromosome structure in vivo, quantitatively and without relying on crosslinking and ligation, we have implemented a new method named damC. DamC combines DNA-methylation based detection of chromosomal interactions with next-generation sequencing and a biophysical model of methylation kinetics. DamC performed in mouse embryonic stem cells provides the first in vivo validation of the existence of TADs and CTCF loops, confirms 3C-based measurements of the scaling of contact probabilities within TADs, and provides evidence that mammalian chromatin in vivo is essentially rigid below 5 kilobases. Combining damC with transposon-mediated genomic engineering shows that new loops can be formed between ectopically introduced and endogenous CTCF sites, which alters the partitioning of physical interactions within TADs. This establishes damC as a crosslinking-and ligation-free framework to measure and modify chromosome interactions combined with a solid theoretical background for rigorous data interpretation. This orthogonal approach to 3C validates the existence of key structural features of mammalian chromosomes and provides novel insights into how chromosome structure within TADs can be manipulated.

genomics↗