Hormones coordinate developmental, physiological, and behavioral processes within and between all living organisms. They orchestrate and shape organogenesis from early in development, regulate the acquisition, assimilation, and utilization of nutrients to support growth and metabolism, control gamete production and sexual behavior, mediate organismal responses to environmental change, and allow for communication of information between organisms. Genes that code for hormones; the enzymes that synthesize, metabolize, and transport hormones; and hormone receptors are important targets for natural selection, and variation in their expression and function is a major driving force for the evolution of morphology and life history. Hormones coordinate physiology and behavior of populations of organisms, and thus play key roles in determining the structure of populations, communities, and ecosystems. The field of endocrinology is concerned with the study of hormones and their actions. This field is rooted in the comparative study of hormones in diverse species, which has provided the foundation for the modern fields of evolutionary, environmental, and biomedical endocrinology. Comparative endocrinologists work at the cutting edge of the life sciences. They identify new hormones, hormone receptors and mechanisms of hormone action applicable to diverse species, including humans; study the impact of habitat destruction, pollution, and climatic change on populations of organisms; establish novel model systems for studying hormones and their functions; and develop new genetic strains and husbandry practices for efficient production of animal protein. While the model system approach has dominated biomedical research in recent years, and has provided extraordinary insight into many basic cellular and molecular processes, this approach is limited to investigating a small minority of organisms. Animals exhibit tremendous diversity in form and function, life-history strategies, and responses to the environment. A major challenge for life scientists in the 21st century is to understand how a changing environment impacts all life on earth. A full understanding of the capabilities of organisms to respond to environmental variation, and the resilience of organisms challenged by environmental changes and extremes, is necessary for understanding the impact of pollution and climatic change on the viability of populations. Comparative endocrinologists have a key role to play in these efforts.

Molecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.

Serial-section electron microscopy such as FIB-SEM (focused ion beam scanning electron microscopy) has become an important tool for neuroscientists to trace the trajectories and global architecture of neural circuits in the brain, as well as to visualize the 3D ultrastructure of cellular organelles in neurons. In this study, we examined 3D features of mitochondria in electron microscope images generated from serial sections of four regions of mouse brains: nucleus accumbens (NA), hippocampal CA1, somatosensory cortex and dorsal cochlear nucleus (DCN). We compared mitochondria in the presynaptic terminals to those in the postsynaptic/dendritic compartments, and we focused on the shape and size of mitochondria. A common feature of mitochondria among the four brain regions is that presynaptic mitochondria generally are small and short, and most of them do not extend beyond presynaptic terminals. In contrast, the majority of postsynaptic/dendritic mitochondria are large and many of them spread through significant portions of the dendrites. Comparing among the brain areas, the cerebral cortex and DCN have even larger postsynaptic/dendritic mitochondria than the NA and CA1. Our analysis reveals that mitochondria in neurons are differentially sized and arranged according to their subcellular locations, suggesting a spatial organizing principle of mitochondria at the synapse.

The hemoglobinopathies, such as β-thalassemia and sickle cell anemia (SCA), are characterized by mutations of the β-globin gene resulting in either decreased or functionally abnormal hemoglobin (Hb) production. As bone marrow transplant is the only curative option for these patients, there is a strong need for new therapeutic approaches. Both β-thalassemia and SCA represent ideal targets for gene therapy since introduction of a normal β-globin gene can ameliorate the phenotype, as we and others have shown previously. Overcoming the developmental silencing of the fetal γ-globin gene represents an additional approach for the treatment of hemoglobinopathies. Here, we directly compare a recently established approach to activate the γ-globin gene using forced chromatin looping with pharmacologic approaches to raise γ-globin expression.

The β-type globin genes are activated through dynamic interactions with a distal upstream enhancer, the locus control region (LCR). The LCR physically contacts the developmental stage appropriate globin gene via chromatin looping, a process partially dependent on the protein Ldb1. Previously, we have shown that tethering Ldb1 to the murine β-globin promoter with a custom designed zinc finger protein (ZF-Ldb1) can induce loop formation and β-globin transcription in an erythroid cell line (Deng et al., 2012). Further work showed that forced chromatin looping can be exploited to potently reactivate fetal globin gene expression in adult human erythroid cells (Deng et al., 2014). Here we compared the efficacy and toxicity of ZF-Ldb1 to pharmacologic compounds that induce HbF in cultured hematopoietic stem progenitor cell-derived erythroid cultures from normal and SCA donors.

ZF-Ldb1 increased HbF synthesis in SCA erythroid cells (N=8) up to 86% and, concurrently, reduced sickle Hb (HbS) below 15%, consistent with previous studies of erythroid cells from normal probands. Preliminary results obtained from treating SCA specimens (N=3) show that the induction of HbF in cells treated with ZF-Ldb1 is twice as high (+35.55% ± 8.34%, at a dose of ~ one ZF-Ldb1 transgene copy per cell) as that observed using pomalidomide (+16.50% ± 14.57%, 20μM) and decitabine (+15.60% ± 12.36%, 0.5μM). Tranylcypromine and hydroxyurea showed the lowest HbF increase (+9.67% ± 3.26% and +5.06 ± 2.82%, 1.5μM and 150μM respectively).

Importantly, decitabine and pomalidomide treatment lowered cell viability to 39% and 26%, respectively, while ZF-Ldb1 expressing cells retained normal viability similar to control populations.

In related experiments, we are comparing the expression of a battery of genes known to regulate HbF levels (BCL11A, SOX6, KLF1 and C-Myb) in normal and SCA derived erythroid cells treated with ZF-Ldb1 or HbF inducers and compared to controls. Preliminary analyses indicate altered expression of KLF1 in SCA versus normal cells, consistent with a superior response of SCA cells to HbF induction.

In conclusion, lentiviral-mediated ZF-Ldb1 gene transfer appears superior to pharmacologic compounds in terms of efficacy and cell viability further supporting suitability for the reactivation of HbF in SCA erythroid cells.

BACKGROUND: Recording of physiological parameters in behaving mice has seen an immense increase over recent years driven by, for example, increased miniaturization of recording devices. One parameter particularly important for odorant-driven behaviors is the breathing frequency, since the latter dictates the rate of odorant delivery to the nasal cavity and the olfactory receptor neurons located therein. NEW METHOD: Typically, breathing patterns are monitored by either measuring the breathing-induced temperature or pressure changes in the nasal cavity. Both require the implantation of a nasal cannula and tethering of the mouse to either a cable or tubing. To avoid these limitations we used an implanted pressure sensor which reads the thoracic pressure and transmits the data telemetrically, thus making it suitable for experiments which require a freely moving animal. RESULTS: Mice performed a Go/NoGo odorant-driven behavioral task with the implanted pressure sensor, which proved to work reliably to allow recording of breathing signals over several weeks from a given animal. COMPARISON TO EXISTING METHOD(S): We simultaneously recorded the thoracic and nasal pressure changes and found that measuring the thoracic pressure change yielded similar results compared to measurements of nasal pressure changes. CONCLUSION: Telemetrically recorded breathing signals are a feasible method to monitor odorant-guided behavioral changes in breathing rates. Its advantages are most significant when recording from a freely moving animal over several weeks. The advantages and disadvantages of different methods to record breathing patterns are discussed.

Understanding the circuit mechanisms behind motion detection is a long-standing question in visual neuroscience. In , recent synapse-level connectomes in the optic lobe, particularly in ON-pathway (T4) receptive-field circuits, in concert with physiological studies, suggest an increasingly intricate motion model compared with the ubiquitous Hassenstein-Reichardt model, while our knowledge of OFF-pathway (T5) has been incomplete. Here we present a conclusive and comprehensive connectome that for the first time integrates detailed connectivity information for inputs to both T4 and T5 pathways in a single EM dataset covering the entire optic lobe. With novel reconstruction methods using automated synapse prediction suited to such a large connectome, we successfully corroborate previous findings in the T4 pathway and comprehensively identify inputs and receptive fields for T5. While the two pathways are likely evolutionarily linked and indeed exhibit many similarities, we uncover interesting differences and interactions that may underlie their distinct functional properties.

Since their inception, computational models have become increasingly complex and useful counterparts to laboratory experiments within the field of neuroscience. Today several software programs exist to solve the underlying mathematical system of equations, but such programs typically solve these equations in all parts of a cell (or network of cells) simultaneously, regardless of whether or not all of the cell is active. This approach can be inefficient if only part of the cell is active and many simulations must be performed. We have previously developed a numerical method that provides a framework for spatial adaptivity by making the computations local to individual branches rather than entire cells (Rempe and Chopp, SIAM Journal on Scientific Computing, 28: 2139-2161, 2006). Once the computation is reduced to the level of branches instead of cells, spatial adaptivity is straightforward: the active regions of the cell are detected and computational effort is focused there, while saving computations in other regions of the cell that are at or near rest. Here we apply the adaptive method to four realistic neuronal simulation scenarios and demonstrate its improved efficiency over non-adaptive methods. We find that the computational cost of the method scales with the amount of activity present in the simulation, rather than the physical size of the system being simulated. For certain problems spatial adaptivity reduces the computation time by up to 80%.

The renal proximal tubule plays a critical role in water and solute reabsorption. Recently we generated a high resolution 3D, quantifiable volume microscopic identification of the ultrastructure of kidney Proximal Tubule (PT) cells using enhanced Focused Ion Beam Scanning Electron Microscopy (eFIB-SEM) and machine learning-based segmentation approaches. This analysis revealed that, in a volume of 70x60x177 µm3 of mouse kidney tissue, the mean volume of PT cells is 1980.25 µm3 ± 491.28 μm3. In an analysis of 25 PT cells, mitochondria (MITO) and endoplasmic reticulum (ER) accounted for an average of 26.4% and 6.3% of cell volume, respectively. Importantly, 91% of the total ER volume appeared to be comprised of a single contiguous ER structure as determined by tracing the ER surface. Using semi-thin sections (0.5 µm) of mouse kidney and antibodies directed against ER proteins we assessed the functional compartmentalization of the ER in PT cells by immunofluorescence microscopy. We find that ER proteins that participate in maintaining ER structure and lipid exchange, such as CLIMP-63 and VAP-A, localize to regions of the ER that are in close apposition to the basolateral plasma membrane (BL PM) of the PT cell. This distribution is confirmed by co-staining with an antibody directed against the Na, K-ATPase, a marker of the BL PM. In contrast, regions of the ER that are involved in calcium ion storage, as detected by staining for the SERCA calcium ATPase, are distributed broadly through the cytoplasm in the area of the cell that is rich in MITO. Staining for mitofilin, a MITO outer membrane protein, confirmed the abundance and distribution of the MITO in all of the PT cells. PDI, a protein that regulates proper folding and maturation of newly synthesized proteins in the lumen of the ER, resides primarily in portions of the ER that surround the nucleus and extend into the apical regions of the cell. PDI is mostly absent from the BL portions of the PT cells. Interestingly, calreticulin, which participates both in ER calcium storage and newly synthesized protein folding and quality control processes, is heavily concentrated in the subapical region of the cell. Using the machine learning algorithm to segment the lumen of the seemingly continuous ER structure demonstrates that, within the limit of resolution of this technique, continuity of ER lumens is limited to discrete patches. The defined distributions of these ER markers demonstrates that the extensive ER network in proximal tubule cells is divided into subdomains with distinct functional capacities and properties. NIH-RC2 DK120534. RDP and EML conributed equally. OAW and MJC contributed equally. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Inside the cell, proteins essential for signaling, morphogenesis, and migration navigate complex pathways, typically via vesicular trafficking or microtubule-driven mechanisms 1-3. However, the process by which soluble cytoskeletal monomers maneuver through the cytoplasm’s ever-changing environment to reach their destinations without using these pathways remains unknown. 4-6 Here, we show that actin cytoskeletal treadmilling leads to the formation of a semi-permeable actin-myosin barrier, creating a specialized compartment separated from the rest of the cell body that directs proteins toward the cell edge by advection, diffusion facilitated by fluid flow. Contraction at this barrier generates a molecularly non-specific fluid flow that transports actin, actin-binding proteins, adhesion proteins, and even inert proteins forward. The local curvature of the barrier specifically targets these proteins toward protruding edges of the leading edge, sites of new filament growth, effectively coordinating protein distribution with cellular dynamics. Outside this compartment, diffusion remains the primary mode of protein transport, contrasting sharply with the directed advection within. This discovery reveals a novel protein transport mechanism that redefines the front of the cell as a pseudo-organelle, actively orchestrating protein mobilization for cellular front activities such as protrusion and adhesion. By elucidating a new model of protein dynamics at the cellular front, this work contributes a critical piece to the puzzle of how cells adapt their internal structures for targeted and rapid response to extracellular cues. The findings challenge the current understanding of intracellular transport, suggesting that cells possess highly specialized and previously unrecognized organizational strategies for managing protein distribution efficiently, providing a new framework for understanding the cellular architecture’s role in rapid response and adaptation to environmental changes.

Although information storage in the central nervous system is thought to be primarily mediated by various forms of synaptic plasticity, other mechanisms, such as modifications in membrane excitability, are available. Local dendritic spikes are nonlinear voltage events that are initiated within dendritic branches by spatially clustered and temporally synchronous synaptic input. That local spikes selectively respond only to appropriately correlated input allows them to function as input feature detectors and potentially as powerful information storage mechanisms. However, it is currently unknown whether any effective form of local dendritic spike plasticity exists. Here we show that the coupling between local dendritic spikes and the soma of rat hippocampal CA1 pyramidal neurons can be modified in a branch-specific manner through an N-methyl-d-aspartate receptor (NMDAR)-dependent regulation of dendritic Kv4.2 potassium channels. These data suggest that compartmentalized changes in branch excitability could store multiple complex features of synaptic input, such as their spatio-temporal correlation. We propose that this ’branch strength potentiation’ represents a previously unknown form of information storage that is distinct from that produced by changes in synaptic efficacy both at the mechanistic level and in the type of information stored.