Biology subjects

Kim, D. W.

Publications and source records attributed to Kim, D. W..

At least 19 recordsLinked to original sources

bioRxiv2026

In vivo optical clearing of the mouse brain

Light microscopy is one of the most powerful tools for understanding living systems, but the opacity of tissue prevents visualization of all but superficial layers. Several methods to clarify tissue have been developed, but most require fixed specimens. To address the challenge of improving resolution in functioning neuronal circuits, we developed a biocompatible clearing agent, iodixanol-ACSF, which is capable of increasing the transparency of living neuronal tissue. Brain-cleared mice were motile and unimpaired on a variety of behavioral tasks, and extracellular recordings showed that many cellular and circuit phenomena were well-preserved. In live iodixanol-ACSF cleared mouse brain tissue, both transmission and cellular-resolution fluorescence microscopy indicate improvements of 150-200% in penetration depth with one-third to one-half the laser intensity when compared to untreated tissue. Our results show that iodixanol-ACSF clearing will enable deeper imaging and extend our understanding of neuronal circuit function.

neuroscience↗

bioRxiv2026

STAT1 sets microglial neutral-lipid content independently of lipid-handling transcriptional programs

Inflammatory activation and lipid remodeling are linked features of microglial states, but how inflammatory transcription factors shape microglial lipid handling is unclear. Here we show that STAT1 sets neutral-lipid content in microglia through a route not predicted by lipid-handling transcription. Acute STAT1 depletion in primary microglia lowered neutral-lipid content while lipid-uptake and lipid-storage programs were induced, and interferon-{gamma} activation moved inflammatory transcription in the opposite direction yet lowered lipid content alike. Single-cell transcriptomic and chromatin profiling of Stat1- and Irf1-deficient mice showed that STAT1 and IRF1 organize overlapping inflammatory and lipid-handling programs, with genome-wide accessibility changes that did not predict transcriptional output at individual lipid-handling loci. Microglia co-expressing STAT1 and APOE recurred across Alzheimer's disease and multiple sclerosis datasets. Transcriptional program engagement is therefore separable from cellular lipid state, and lipid-handling gene expression cannot be read as a proxy for microglial lipid content.

neuroscience↗

bioRxiv2026

Population-specific transcriptional-state remodeling of cortical and hypothalamic neurons in Alzheimer's disease

Selective neuronal vulnerability shapes Alzheimer's disease, but it is commonly inferred from changes in the relative representation of neuronal populations rather than from molecular changes within those populations. We mapped both dimensions across disease progression in amyloid, tau, and combined amyloid-tau mouse models, extended the analysis to cortex and hypothalamus in an independent tau model, and tested the resulting framework in human Alzheimer's disease. Populations with similar reductions in representation showed markedly different degrees of molecular remodeling, while substantial state changes also occurred in populations whose representation remained close to wild type. Disease altered excitability, synaptic, and regulatory programs and reshaped the distribution of cellular states within matched neuronal identities. A particularly recurrent excitatory state linked CAMKK2-AMPK signaling with microtubule regulation. It expanded in glutamatergic populations early in the combined amyloid-tau model, but its direction was not fixed: the same state reversed with age in dentate granule-like neurons and was reduced in corticothalamic neurons of an independent tau model. Remodeling extended beyond cortex to hypothalamic Hdc-positive tuberomammillary neurons, which showed focused excitability-associated changes despite representation close to wild type. In human Alzheimer's disease, remodeling was strongest in several deep-layer and RORB-positive excitatory populations independently associated with vulnerability. The CAMKK2-AMPK-associated state was predominantly reduced rather than increased. An independently defined human depletion-associated neuronal identity instead overlapped other synaptic and calcium-signaling components of the same broader remodeling architecture. Neuronal involvement in Alzheimer's disease is therefore expressed as structured, population-specific remodeling of molecular state, extending across cortical and hypothalamic identities and only partly reflected in relative representation.

neuroscience↗

bioRxiv2026

Structure-guided design of a CD81-binding mini-protein that blocks hepatitis C virus entry

Despite the success of direct-acting antivirals, preventing hepatitis C virus (HCV) reinfection remains a critical global challenge. To address this, we leveraged deep learning-based de novo protein design to engineer mini-proteins targeting the large extracellular loop (LEL) of the HCV co-receptor CD81. These mini-proteins are predicted to precisely dock into CD81-LEL, occluding the critical binding interface required for the HCV E2 glycoprotein. Through biophysical screening, we identified mini-19, a lead candidate with sub-nanomolar affinity (KD = 0.5 nM) and high thermostability up to 95{degrees}C. Flow cytometry and super-resolution imaging confirmed that mini-19 specifically recognizes the native topology of CD81 on cells and extracellular vesicles. Functionally, mini-19 neutralized HCVcc infection (IC50 = 1.2 nM). Molecular dynamics simulations demonstrated that mini-19 acts as a structural clamp, restricting the fusogenic conformational plasticity of the receptor. By targeting a conserved host factor rather than the rapidly mutating viral envelope, mini-19 provides a high genetic barrier to resistance. Beyond offering a prophylactic strategy against HCV, our findings establish a stable biologic platform for targeting tetraspanin-enriched microdomains and modulating host-pathogen interactions.

bioengineering↗

bioRxiv2025

Pan-genome analyses of 226 finger millet-infecting Magnaporthe oryzae strains from eastern Africa reveal two lineages that differ in their genetic make-up, virulence and effector gene content with gene loss driven by homologous recombination between Pot2 elements

Blast disease, caused by the filamentous ascomycete Magnaporthe oryzae, is the main biotic constraint to finger millet production in eastern Africa. M. oryzae is a pathogen on many grass species, but the high host-specificity of blast isolates underscores the need to study pathogen diversity and virulence at the host level. Here, we fill a void on knowledge on finger millet-infecting strains of M. oryzae by sequencing 226 isolates pure-cultured from infected tissues, mainly peduncles and panicles, sampled from field-grown finger millet accessions across Ethiopia, Kenya, Tanzania and Uganda. Phylogenetic analysis showed that eastern African isolates are genetically distinct from Asian isolates, and differentiated into two groups potentially driven by climate variables. One group was dominated by isolates from Kenya and Uganda (KU group), and the other by isolates from Ethiopia and Tanzania (ET group). Analysis of the portfolio of 887 predicted effector genes showed that the KU group had significantly fewer effectors, concomitant with higher virulence levels on the two finger millet accessions tested. We demonstrate that homologous recombination between transposable elements, leading to genomic deletions, plays a key role in gene removal. Transcript profiling of fungal genes in compatible and incompatible interactions revealed upregulation in the incompatible interaction as a characteristic of an estimated 30% of effector genes, including seven of the eight homologs of known avirulence genes from rice-infecting M. oryzae identified in our study. Prioritization of these effectors for functional validation will pave the way for identifying cognate resistance genes and improving finger millet for resistance to blast disease.

plant biology↗

bioRxiv2025

Strain-specific differences in toxT expression and virulence gene activation in Vibrio cholerae

The transcriptional activator ToxT is a key regulator of Vibrio cholerae virulence, controlling the expression of cholera toxin (CT) and the toxin co-regulated pilus (TCP). Insights into the regulation and function of toxT have largely come from studies on the classical biotype strain O395, which exhibits robust toxT expression. However, toxT expression is not fully consistent across V. cholerae strains. Here, we show that toxT transcription and protein production differ significantly among strains, particularly in El Tor biotype, which exhibit allele-dependent regulatory constraints. Using qRT-PCR and Western blotting, we demonstrate that alternative toxT alleles confer distinct transcriptional activator functions across El Tor biotype strains. Notably, IB5230, a pandemic El Tor strain, exhibits enhanced toxT and virulence gene expression even at 37{degrees}C, suggesting a potential adaptation for increased pathogenicity. Our results suggest that toxT autoregulatory feedback plays a more critical role in virulence gene activation than previously recognized. This study underscores previously unrecognized complexity in toxT regulation, emphasizing the need to reassess virulence control mechanisms in epidemic and emerging V. cholerae strains. Understanding these strain-specific differences is essential for refining models of cholera pathogenesis. Author SummaryCholera is a severe diarrheal disease caused by the bacterium Vibrio cholerae, which continues to pose a major threat to global health. The ability of V. cholerae to cause disease depends on the expression of two key virulence factors--cholera toxin (CT) and the toxin-coregulated pilus(TCP)-- controlled by the transcriptional activator ToxT. While much of our understanding of ToxT regulation is based on classical biotype strains, most recent cholera outbreaks have been driven by El Tor biotype strains. In this study, we demonstrate that toxT expression and its ability to activate virulence genes vary markedly across V. cholerae strains, depending on both the specific toxT allele and the genetic background. Using isogenic strains engineered to express different toxT alleles, we show that some alleles are transcriptionally silent in certain El Tor strains while others are active, despite having similar functional capabilities when expressed. Notably, a hypervirulent strain linked to the Haitian cholera outbreak maintained high toxT expression even at human body temperature, hinting at possible adaptive mechanisms for enhanced pathogenicity. Our findings suggest that virulence regulation in V. cholerae may be more variable than previously recognized, highlighting strain- and allele-specific differences in toxT expression. Understanding these strain- and allele-specific differences in virulence gene regulation is crucial for improving models of cholera pathogenesis and could inform the development of more effective interventions and vaccines against this evolving pathogen.

microbiology↗

bioRxiv2025

Decoding Gene Networks Controlling Hypothalamic and Prethalamic Neuron Development.

Neuronal subtypes derived from the embryonic hypothalamus and prethalamus regulate many essential physiological processes, yet the gene regulatory networks controlling their development remain poorly understood. Using single-cell RNA- and ATAC-sequencing, we analyzed mouse hypothalamic and prethalamic development from embryonic day 11 to postnatal day 8, profiling 660,000 cells in total. This identified key transcriptional and chromatin dynamics driving regionalization, neurogenesis, and differentiation. This identified multiple distinct neural progenitor populations, as well as gene regulatory networks that control their spatial and temporal identities, and their terminal differentiation into major neuronal subtypes. Integrating these results with large-scale genome-wide association study data, we identified a central role for transcription factors controlling supramammillary hypothalamic development in a broad range of metabolic and cognitive traits. Recurring cross-repressive regulatory relationships were observed between transcription factors that induced prethalamic and tuberal hypothalamic identity on the one hand and mammillary and supramammillary hypothalamic identity on the other. In postnatal animals, Dlx1/2 was found to severely disrupt GABAergic neuron specification in both the hypothalamus and prethalamus, resulting in a loss of inhibition of thalamic neurons, hypersensitivity to cold, and behavioral hyperactivity. By identifying core gene regulatory networks controlling the specification and differentiation of major hypothalamic and prethalamic neuronal cell types, this study provides a roadmap for future efforts aimed at preventing and treating a broad range of homeostatic and cognitive disorders.

neuroscience↗

bioRxiv2025

Resolving forebrain developmental organisation by analysis of differential growth patterns

The forebrain is the most complex region of the vertebrate CNS, and its developmental organisation is controversial. We fate-mapped the embryonic chick forebrain using lipophilic dyes and Cre-recombination lineage tracing, and built a 4D model of brain growth. We reveal modular patterns of anisotropic growth, ascribed to progenitor regions through multiplex HCR. Morphogenesis is dominated by directional growth towards the eye, more isometric expansion of the prethalamus and dorsal telencephalon, and anterior movement of ventral cells into the hypothalamus. Fate conversion experiments in chick and comparative gene expression analysis in chick and mouse support placement of the hypothalamus ventral to structures extending from the telencephalon up to and including the zona limitans intrathalamica (ZLI), with the dorsoventral axis becoming distorted at the base of the ZLI. Our findings challenge the widely accepted prosomere model of forebrain organisation, and we propose an alternative tripartite hypothalamus model.

developmental biology↗

bioRxiv2024

The differential immunological impact of photon vs proton radiation therapy in high grade lymphopenia

Radiation therapy has long been a cornerstone of cancer treatment. More recently, immune checkpoint blockade has also been applied across a variety of cancers, often leading to remarkable response rates. However, photon-based radiotherapy - which accounts for the vast majority - is also known to frequently induce profound lymphopenia, which might limit the efficacy of immune system based combinations. Proton beam therapy is known to produce a less drastic lymphopenia, which raises the possibility of greater synergy with immunotherapy. In this study we aimed to explore the exact nature of the differential impact of the two radiation modalities upon the immune system. We used multiparametric flow cytometry and deep sequencing of rearranged TCRb loci to investigate a cohort of 20 patients with gastrointestinal tumors who received either therapy. Proton-treated patients remained relatively stable throughout treatment for most metrics considered, whereas those who received photons saw a profound depletion in naive T cells, increase in effector/memory populations, and loss of TCR diversity. The repertoires of photon-treated patients underwent oligoclonal expansion after their lymphocyte count nadirs, particularly of CD8+ Temra cells, driving this reduction in diversity. Across the entire cohort, this reduction in post-nadir diversity inversely correlated with the overall survival time of those patients who died. This raises the possibility that increased adoption of proton-based or other lymphocyte sparing radiotherapy regimes may lead to better survival in cancer patients.

immunology↗

bioRxiv2024

Transcriptomic Profiling of Thyroid Eye Disease Orbital Fat Demonstrates Differences in Adipogenicity and IGF-1R Pathway

Despite recent advances in the treatment of thyroid eye disease (TED), significant gaps remain in our understanding of the underlying molecular mechanisms, particularly concerning the insulin-like growth factor-1 receptor (IGF-1R) pathway. To dissect the pathophysiology of TED, we utilized single nucleus RNA-Seq to analyze orbital fat specimens from both TED patients and matched controls. The analysis demonstrated a marked increase in the proportion of fibroblasts transitioning to adipogenesis in the orbital fat of TED patients compared to controls. This was associated with diverse alterations in immune cell composition. Significant alterations in the IGF-1R signaling pathway were noted between TED specimens and controls, indicating a potential pathological mechanism driven by IGF-1R signaling abnormalities. Additionally, our data show that linsitinib, a small molecule inhibitor of IGF-1R, effectively reduces adipogenesis in TED orbital fibroblasts in vitro, suggesting its potential utility as a therapeutic agent. Our findings reveal that beyond immune dysfunction, abnormal IGF-1R signaling leading to enhanced adipogenesis is a crucial pathogenic mechanism in TED.

cell biology↗

bioRxiv2024

Decoding Arc Transcription: A Live-Cell Study of Stimulation Patterns and Transcriptional Output

Activity-regulated cytoskeleton-associated protein (Arc) plays a crucial role in synaptic plasticity, a process integral to learning and memory. Arc transcription is induced within a few minutes of stimulation, making it a useful marker for neuronal activity. However, the specifics of the neuronal activity that triggers Arc transcription remain unknown because it has not been possible to observe mRNA transcription in live cells in real time. Using a genetically encoded RNA indicator (GERI) mouse model that expresses endogenous Arc mRNA tagged with multiple GFPs, we investigated Arc transcriptional activity in response to various electrical stimulation patterns. In dissociated hippocampal neurons, we found that the pattern of stimulation significantly affects Arc transcription. Specifically, a 10 Hz burst stimulation induced the highest rate of Arc transcription. Concurrently, the amplitudes of nuclear calcium transients also reached their peak with 10 Hz stimulation, indicating a correlation between calcium concentration and transcription. However, our dual-color single-cell imaging revealed that there were no significant differences in calcium amplitudes between Arc-positive and Arc-negative neurons upon 10 Hz burst stimulation, suggesting the involvement of other factors in the induction of Arc transcription. Our live-cell RNA imaging provides a deeper insight into the complex regulation of transcription by activity patterns and calcium signaling pathways.

neuroscience↗

bioRxiv2024

An Amygdalar Oscillator Coordinates Cellular and Behavioral Rhythms

Circadian rhythms are generated by the master pacemaker suprachiasmatic nucleus (SCN), in concert with local clocks throughout the body. While many brain regions exhibit cycling clock gene expression, the identity of a discrete extra-SCN brain oscillator that produces rhythmic behavior has remained elusive. Here, we show that an extra-SCN oscillator in the lateral amygdala (LA) is defined by expression of the clock-output molecule mWAKE/ANKFN1. mWAKE is enriched in the anterior/dorsal LA (adLA), and strikingly, selective disruption of clock function or excitatory signaling in adLAmWAKE neurons abolishes Period2 (Per2) rhythms throughout the LA. mWAKE levels rise at night and promote rhythmic excitability of adLAmWAKE neurons by upregulating Ca2+-activated K+ channel activity specifically at night. adLAmWAKE neurons coordinate rhythmic sensory perception and anxiety in a clock-dependent and WAKE-dependent manner. Together, these data reveal the cellular identity of an extra-SCN brain oscillator and suggest a multi-level hierarchical system organizing molecular and behavioral rhythms.

neuroscience↗

bioRxiv2024

Beyond microtubules: The cellular environment at the endoplasmic reticulum attracts proteins to the nucleus, enabling nuclear transport

All proteins are translated in the cytoplasm, yet many, including transcription factors, play vital roles in the nucleus. While previous research has concentrated on molecular motors for the transport of these proteins to the nucleus, recent observations reveal perinuclear accumulation even in the absence of an energy source, hinting at alternative mechanisms. Here, we propose that structural properties of the cellular environment, specifically the endoplasmic reticulum (ER), can promote molecular transport to the perinucleus without requiring additional energy expenditure. Specifically, physical interaction between proteins and the ER impedes their diffusion and leads to their accumulation near the nucleus. This result explains why larger proteins, more frequently interacting with the ER membrane, tend to accumulate at the perinucleus. Interestingly, such diffusion in a heterogeneous environment follows Chapmans law rather than the popular Ficks law. Our findings suggest a novel protein transport mechanism arising solely from characteristics of the intracellular environment. HighlightsO_LIThe interaction of proteins with ER slows down their diffusion at the perinucleus. C_LIO_LIThis leads proteins to migrate toward the perinucleus without ATP consumption. C_LIO_LIFrequent ER interaction of larger proteins promotes perinuclear accumulation. C_LIO_LIDiffusion with the physical interaction can be described by Chapmans law. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=197 SRC="FIGDIR/small/575351v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@c9f052org.highwire.dtl.DTLVardef@1c0cc36org.highwire.dtl.DTLVardef@9f182forg.highwire.dtl.DTLVardef@ecc143_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

bioRxiv2023

The combination of topological data analysis and mathematical modeling improves sleep stage prediction from consumer-grade wearables

Wearable devices have become commonplace tools for tracking behavioral and physiological parameters in real-world settings. Nonetheless, the practical utility of these data for clinical and research applications, such as sleep analysis, is hindered by their noisy, large-scale, and multidimensional characteristics. Here, we develop a neural network algorithm that predicts sleep stages by tracking topological features (TFs) of wearable data and model-driven clock proxies reflecting the circadian propensity for sleep. To evaluate its accuracy, we apply it to motion and heart rate data from the Apple Watch worn by subjects undergoing polysomnography (PSG) and compare the predicted sleep stages with the corresponding ground truth PSG records. We find that TFs and clock proxies can improve the overall performance of wake/REM/NREM sleep classification, particularly in identifying REM and NREM sleep (AUROC/AUPRC improvements > 9% and REM/NREM accuracy improvement " 12%). We find that this improvement is mainly attributed to the heart rate TFs. To confirm this, we compare the heart rate TFs between two groups, expected to have different cardiovascular conditions: younger, healthy subjects from the Apple Watch cohort and elderly subjects from the Multi-ethnic Study of Atherosclerosis cohort. Indeed, TFs largely vary across REM and NREM sleep in younger individuals while the variations disappear in elderly individuals, explaining the enhanced improvements in REM or NREM sleep classification problems only in the younger individuals. This study demonstrates the benefits of combining topological data analysis and mathematical modeling to extract hidden inputs of neural networks from puzzling wearable data.

bioinformatics↗

bioRxiv2023

Calcium-permeable AMPA receptors govern PV neuron feature selectivity

The brain helps us survive by forming internal representations of the external world1,2. Excitatory cortical neurons are often precisely tuned to specific external stimuli3,4. However, inhibitory neurons, such as parvalbumin-positive (PV) interneurons, are generally less selective5. PV interneurons differ from excitatory cells in their neurotransmitter receptor subtypes, including AMPA receptors6,7. While excitatory neurons express calcium-impermeable AMPA receptors containing the GluA2 subunit, PV interneurons express receptors that lack the GluA2 subunit and are calcium-permeable (CP-AMPARs). Here we demonstrate a causal relationship between CP-AMPAR expression and the low feature selectivity of PV interneurons. We find a low expression stoichiometry of GluA2 mRNA relative to other subunits in PV interneurons which is conserved across ferrets, rodents, marmosets, and humans, causing abundant CP-AMPAR expression. Replacing CP-AMPARs in PV interneurons with calcium-impermeable AMPARs increased their orientation selectivity in the visual cortex. Sparse CP-AMPAR manipulations demonstrated that this increase was cell-autonomous and could occur well beyond development. Interestingly, excitatory-PV interneuron connectivity rates and unitary synaptic strength were unaltered by CP-AMPAR removal, suggesting that the selectivity of PV interneurons can be altered without drastically changing connectivity. In GluA2 knockout mice, where all AMPARs are calcium-permeable, excitatory neurons showed significantly reduced orientation selectivity, suggesting that CP-AMPARs are sufficient to drive lower selectivity regardless of cell type. Remarkably, hippocampal PV interneurons, which usually exhibit low spatial tuning, became more spatially selective after removing CP-AMPARs, indicating that CP-AMPARs suppress the feature selectivity of PV interneurons independent of modality. These results reveal a novel role of CP-AMPARs in maintaining a low-selectivity sensory representation in PV interneurons and suggest a conserved molecular mechanism that distinguishes the unique synaptic computations of inhibitory and excitatory neurons.

neuroscience↗

bioRxiv2022

Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping

The circadian ([~]24h) clock is based on a negative feedback loop centered around the PERIOD protein (PER), translated in the cytoplasm and then enters the nucleus to repress its own transcription at the right time of day. Such precise nucleus entry is mysterious because thousands of PER molecules transit through crowded cytoplasm and arrive at the perinucleus across several hours. To understand this, we developed a mathematical model describing the complex spatiotemporal dynamics of PER as a single random time delay. We find that the spatially coordinated bistable phosphoswitch of PER, which triggers the phosphorylation of accumulated PER at the perinucleus, leads to the synchronous and precise nuclear entry of PER. This leads to robust circadian rhythms even when PER arrival times are heterogenous and perturbed due to changes in cell crowdedness, cell size, and transcriptional activator levels. This shows how the circadian clock compensates for spatiotemporal noise. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=187 SRC="FIGDIR/small/513792v2_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@36522eorg.highwire.dtl.DTLVardef@4d64c9org.highwire.dtl.DTLVardef@113f670org.highwire.dtl.DTLVardef@1983acb_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIThe time window when PER protein arrives at the perinucleus is wide and keeps changing. C_LIO_LIA bistable phosphoswitch enables precise nuclear entry of PER protein. C_LIO_LIThis leads to robust circadian rhythms when cell congestion level and size change. C_LIO_LIThis describes how the circadian clock compensates for spatiotemporal noise. C_LI

systems biology↗

bioRxiv2022

Synthetic maize centromeres transmit chromosomes across generations

Centromeres are long, often repetitive regions of genomes that bind kinetochore proteins and ensure normal chromosome segregation. Engineering centromeres that function in vivo has proven to be difficult. Here we describe a LexA-CENH3 tethering approach that activates functional centromeres at maize synthetic repeat arrays containing LexO binding sites. The synthetic centromeres are sufficient to cause chromosome breakage and release of chromosome fragments that are passed through meiosis and into progeny. Several independent chromosomes were identified, each with newly created centromeres localized over the repeat arrays where they were directed. The new centromeres were self-sustaining and stably transmitted chromosomes to progeny in the absence of the LexA-CENH3 activator. Our results demonstrate the feasibility of using synthetic centromeres for karyotype engineering applications.

genetics↗

bioRxiv2022

A neuroepithelial wave of BMP signalling drives anteroposterior specification of the tuberal hypothalamus

The tuberal hypothalamus houses several major hypothalamic nuclei, dozens of transcriptionally distinct cell types, and clinically relevant cell populations implicated in obesity and related metabolic disorders. Building on recent advances in the field, here we draw upon transcriptional, signalling, and fate mapping analyses of chicken embryos and neuroepithelial explants to analyze tuberal hypothalamic development. We show that a wave of BMP signalling sweeps through early floor plate-like progenitors overlying prospective Rathkes pouch as they track anteriorly. The timing of BMP signalling correlates with cell fate, with anterior tuberal specification complete by Hamilton-Hamburger (HH) stage 10 but posterior tuberal progenitors requiring BMPs after this point. scRNA-Seq profiling of FGF10-expressing cells, a proxy for cells with active BMP signalling, through HH8-21 reveals transcriptional differences that may underlie their differing response to BMPs, and the switch from neuroepithelial progenitors to stem-like radial glial cells. This study provides an integrated account of the development of the tuberal hypothalamus.

developmental biology↗