Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.12.29.573619

Recruitment of Homodimeric Proneural Factors by Conserved CAT-CAT E-Boxes Drives Major Epigenetic Reconfiguration in Cortical Neurogenesis

Abstract

The proneural factors of the basic-helix-loop-helix (bHLH) family of transcription factors coordinate early processes of neurogenesis and neurodifferentiation. Among them, Neurog2 and Neurod2 subsequently act specifying neurons of the glutamatergic lineage. The disruption of proneural factors, their target genes, and the DNA motifs they bind, have been linked to various neuropsychiatric disorders. Proneural factors operate on the DNA forming homodimers or heterodimers with other bHLH factors and binding to specific motifs called E-boxes, which are hexanucleotides of the form CANNTG, composed of two CAN half sites on opposed strands. These E-box motifs are highly enriched in regulatory elements that become active during corticogenesis. Although neurogenesis and neurodifferentiation appear to rely heavily on the activity of E-boxes, our understanding of the specific dynamics of DNA binding and partner usage throughout neurogenesis and neurodifferentiation remains largely unknown. To shed light on this critical facet of neural development, we conducted a comprehensive analysis leveraging ChIP-seq data of NEUROG2 and NEUROD2, paired with time-matched single-cell RNA-seq and ATAC-seq assays and DNA methylation data, collected from the developing mouse brain. Our analyses revealed that distinct trajectories of chromatin accessibility are selectively linked to specific subsets of NEUROG2 and NEUROD2 binding sites and E-boxes. Notably, while E-boxes composed of CAT-CAG half sites or two CAG half sites are more commonly found within their binding sites, E-boxes consisting of two CAT half sites exhibit a striking enrichment in developmentally dynamic enhancers. These CAT-CAT E-boxes also manifest substantial DNA demethylation effects throughout the process of neurodifferentiation and display the highest levels of evolutionary constraint. Aided by a combination of a detailed DNA-footprinting and structural modeling approach, we propose a compelling model to explain the combinatorial action of bHLH factors across the various stages of neurogenesis. Finally, we hypothesize that NEUROD2 acts as a chromatin remodeler in cortical neurodifferentiation by binding CAT-CAT E-boxes as a homodimer, a mechanism that could be extended to other members of this bHLH class of transcription factors.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

de Martin, X., Oliva, B., Santpere, G.. 2023-12-29. Recruitment of Homodimeric Proneural Factors by Conserved CAT-CAT E-Boxes Drives Major Epigenetic Reconfiguration in Cortical Neurogenesis. https://doi.org/10.1101/2023.12.29.573619

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗