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2832 Janelia Publications
Showing 1-10 of 2832 resultsNPAS4 is an activity-dependent transcription factor that, in CA1 of the hippocampus, regulates inhibitory synapses made onto the active pyramidal neuron. In principle, NPAS4 thereby allows the past activity of a neuron to influence how it encodes information, although this has not yet been demonstrated. Here, we generated a sparse, CA1-specific knockout (KO) of NPAS4 in the mouse hippocampus and used optogenetic tagging to identify KO neurons in vivo. Recordings from intermingled wild-type (WT) and KO neurons in awake behaving animals revealed that NPAS4 deletion degrades spatial representations and temporal precision of spiking: KO neurons exhibited larger place fields with reduced in-field firing and increased out-of-field firing, less stable place fields, reduced coupling to local field potential theta oscillations, and diminished phase precession. These findings demonstrate that NPAS4 plays a crucial role in refining the spatial and temporal properties of CA1 pyramidal neuron spikes, which themselves are thought to be fundamental building blocks of more complex processes such as learning and memory.
Male same-sex sexual behavior (SSB) is widespread among animal species, but its proximate (mechanistic) and ultimate (evolutionary) explanations remain unclear. A prevailing view is that SSB reflects impaired sex recognition, especially in insects. By unbiased behavioral screening, we identified a Drosophila species, D. santomea, in which males seldom attack and spontaneously court males vigorously, in addition to females. Behavioral, chemical, and optogenetic neuronal manipulations indicate that D. santomea males can distinguish conspecific sex and retain functional aggression circuitry. Instead, male SSB reflects three evolved pheromonal changes affecting two separate signaling systems, resulting in both reduced pheromone production and behavioral valence reversal. One of these occurs unexpectedly in females and may have evolved to prevent hybridization with an interfertile, geographically overlapping sibling species. Remarkably, male SSB and similar pheromonal changes also selectively co-occur in D. persimilis, a geographically and phylogenetically distant species and member of another sympatric sibling pair, implying evolutionary convergence in the two young taxa. The results identify a pheromonal mechanism for rapid social evolution in Drosophila and suggest a plausible evolutionary origin for male SSB as arising in concert with female adaptations that ensure reproductive isolation during speciation.
A study establishes a correlative light and electron microscopy workflow that reveals how individual lipid species distribute across nanoscale membrane domains, uncovering sphingomyelin sorting within the early endosome.
Endocytosis actively remodels the neuronal surface proteome to drive diverse cellular processes, yet its global extent and effects on neural circuit development have defied comprehensive interrogation. Here, we introduce endocytome profiling: a systematic, cell-type-specific approach for mapping cell-surface protein (CSP) dynamics in situ. Quantitative proteomic analysis of developing Drosophila olfactory receptor neuron (ORN) axons generated an endocytic atlas comprising over 1,000 proteins and revealed the extent to which the cell-surface proteome is remodeled to meet developmental demands. Targeted interrogation of a junctional CSP showed that its endosome-to-surface ratio is precisely balanced to enable developmental axon pruning while preserving mature axon integrity. Multi-omic integration uncovered widespread transcellular signaling and identified a growth factor secreted by neighboring neurons to direct ORN axon targeting via endocytic regulation of its receptor. Endocytome profiling provides unprecedented access to cell-surface proteome dynamics and offers a platform to dissect proteome-scale remodeling across diverse cell types and contexts.
How intrinsically disordered regions (IDRs) influence chromatin binding and nuclear organization of transcription factors (TFs) remains unclear. We employed proximity-assisted photoactivation (PAPA), a single-molecule protein-protein interaction sensor, to investigate how IDRs might influence TF interactions with each other and with chromatin in live cells. We found that the Sp1 DNA binding domain (DBD) interacted poorly with chromatin and did not colocalize with Sp1. Weak interaction of the isolated IDR with full-length Sp1 was enhanced by fusion to various unrelated DBDs. Live imaging of polytene chromosomes confirmed that an IDR could confer sharp locus specificity on an otherwise nonspecific DBD. These findings suggest that TF specificity emerges on chromatin when ensembles of diverse, unstructured interactions are scaffolded by transient DNA contacts.
Purine nucleotides are essential for mammalian development1,2. Purine monophosphates support cell signaling and proliferation and are synthesized by cells through either de novo synthesis or a salvage pathway3. We previously identified a midgestational metabolic transition in mice (gestational days gd10.5–11.5) characterized by changes in purine metabolism4. Midgestation is a period of rapid growth for placenta and embryo, yet it remains unclear how the placental tissues expand without directly competing with the embryo for biosynthetic resources. Here, we show that this midgestational metabolic transition is associated with a marked reduction in embryonic expression of purine salvage enzymes, which constrains embryonic metabolism and leads to different strategies for purine synthesis between the placenta and embryo. Midgestation embryos are unable to engage the purine salvage pathway even when de novo purine synthesis is blocked either in vivo or in ex utero embryo culture, whereas placental tissue and trophoblasts retain the capacity to use either pathway. Disruption of de novo purine synthesis in mice causes reduced embryonic growth, impaired axial elongation, and abnormal brain and placental development, which are only partially rescued by supplementation with purine salvage precursors. In human placenta, trophoblast stem cells readily switch between the de novo and salvage pathways based on nutrient availability, and syncytiotrophoblasts (STB) preferentially rely on the salvage pathway. We identified guanosine monophosphate (GMP) as a metabolic checkpoint regulating STB differentiation, with insufficient GMP levels causing degradation of the small GTPase Rheb and failure of mTOR activation. Supplementation of purine salvage substrates restored GMP synthesis and STB differentiation in humans, but not mice. Further, in vivo measurements in humans revealed that maternal circulating hypoxanthine decreases during pregnancy and is further reduced in women with clinically small placentas, highlighting the role of hypoxanthine in supporting placental growth. These results uncover compartmentalized purine salvage between the embryo and placenta as a mechanism that limits competition for biosynthetic resources and enables coordinated growth during mammalian development.
After finding food, a foraging animal must decide whether to continue feeding or to explore the environment for potentially better options. One strategy to negotiate this tradeoff is to perform local searches around the food while repeatedly returning to feed. We studied this behavior in flies and used genetic tools to uncover the underlying behavioral strategies. Over time, flies gradually expand their search, shifting from primarily exploiting food sources to exploring the environment, a change likely driven by increased satiety. We found that flies' search patterns preserve these dynamics even as the overall range of the search is modulated by starvation. In contrast, search induced by optogenetic activation of sugar-sensing neurons does not show these dynamics. We asked what navigational strategies underlie local search. Using a generative model, we found that a change in locomotor pattern after food consumption could account for repeated returns to the food, but not the relatively direct return trajectories that flies make even from far away. Such trajectories likely rely on alternative strategies, such as path integration or sensory taxis. We tested this by individually silencing their likely neural components, the compass system, olfaction, and hygrosensation. The only substantial effect was from perturbing hygrosensation, which reduced the number of long exploratory trips with subsequent return to the food. Our study illustrates that local search comprises multiple behavioral features that evolve over time based on both internal and external factors, providing a path toward uncovering the underlying neural mechanisms.
Electron Microscopy (EM) is widely used in many scientific fields, particularly in life sciences, offering high-resolution information on the ultrastructure of biological organisms. Accurate characterization of EM image quality is important for assessing the EM tool performance, in addition to sample preparation protocol, imaging conditions, etc.This paper provides an overview of tools we developed as plugins for the popular image processing package Fiji (ImageJ) (1). These tools include signal-to-noise ratio analysis, contrast evaluation, and resolution analysis, as well as the capability to import images acquired on custom FIB-SEM instruments (2). We have also made these tools available in Python, with both versions available on GitHub.
Motion is an essential component of any living system. It is rich with information, but it is often challenging to quantitatively extract biologically informative results from the motion apparent in microscopy images. This challenge is exacerbated by the wide variety in biological movement, which often takes the form of difficult-to-segment amorphous structures undergoing complex motion. An image processing technique known as optical flow can capture motion at each pixel in an image, thus bypassing the need for object segmentation or a priori definition of motion types. This makes it a powerful tool for quantitative assessment of biological systems from the protein to organism scale. However, despite its flexibility and strengths for analyzing fluorescence microscopy images, its adoption in the bioimaging community has been limited by the availability of easy-to-use tools and guidance in results interpretation. Here we describe an optical flow tool, OpticalFlow3D, that can be run in Python or MATLAB and is compatible with three-dimensional microscopy images. Using biological examples across length scales, we illustrate how OpticalFlow3D can enable new biological insight.
On evolutionary timescales, brain circuits adapt to support survival in each species’ ecological niche. While some anatomical aspects of neural circuitry are conserved across species with distant evolutionary origins, each species also exhibits specific circuit adaptations that enable its behavioral repertoire. It remains unclear whether homologous brain regions leverage analogous neural computations as different species perform common behaviors such as reaching and manipulating objects. Here, we directly assessed conservation of neural computations using intracortical recordings from mouse, monkey, and human motor cortex—a homologous region across many mammals—during motor behaviors crucial for survival. We hypothesized that, despite their phylogenetic distance, rodents and primates produce movements through conserved neural computations implemented by motor cortical population dynamics. Remarkably, we found that movement-related neural dynamics were highly conserved across species, while variations in behavioral output were uniquely captured in neural trajectory geometries. Strikingly, neural dynamics during movement across species were more conserved than those across brain regions in the same human and between motor preparation and execution in the same monkeys. Lastly, through manipulation of neural network models trained to perform reaching movements, we reinforce that conservation of neural dynamics across species likely stems from shared circuit constraints. We thus assert that evolution maintains neural computations across phylogeny even as behavioral repertoires expand.
