Biology subjects

Emanuel, A. J.

Publications and source records attributed to Emanuel, A. J..

9 recordsLinked to original sources

bioRxiv2026

Hyperexcitable primary somatosensory cortex in the MitoPark mouse model of Parkinson's disease

The majority of Parkinson's disease patients suffer from decreased tactile acuity or neuropathic pain, both of which contribute to low quality of life and likely exacerbate motor dysfunction. How Parkinson's disease pathology relates to altered somatosensation remains unclear. One potential contributor is the progressive degeneration of dopamine neurons. To assess the extent to which gradual dopamine neuron loss contributes to altered somatosensation, we recorded spontaneous and stimulus-evoked activity in the primary somatosensory cortex of the MitoPark mouse model of Parkinson's disease. MitoPark mice experience progressive dopamine neuron degeneration that is independent of -synuclein. We found that MitoPark layer V regular-spiking (largely pyramidal) neurons, but not fast-spiking (largely parvalbumin-expressing inhibitory) neurons, had elevated spontaneous firing rates relative to littermate controls at late stages of symptom progression. Regular-spiking neurons also became hyperresponsive to tactile stimuli -- more neurons were recruited by stimuli across a wide range of intensities, and these neurons responded with higher firing rates. Fast-spiking neurons, but not regular-spiking neurons, became desynchronized at late stages of symptom progression. These physiological changes coincided with pronounced degeneration of dopamine neurons and axons, which we measured with tyrosine hydroxylase immunostaining in the midbrain, striatum, and primary somatosensory cortex. Altogether, this characterization revealed cell-type-specific changes in the primary somatosensory cortex that are consistent with both decreased tactile acuity and hyperalgesia in Parkinson's disease patients. This suggests that the loss of dopamine neurons, potentially including those that innervate primary somatosensory cortex, contributes to somatosensory impairments associated with Parkinson's disease.

neuroscience↗

bioRxiv2026

Divergence of Melanopsin's Intrinsic Properties and Downstream Actions

Opsins are light-activated receptors. A basic question is how the molecular properties of an opsin shape its effects on the organism. In mammals, melanopsin regulates perception, cognition, physiology, and mood. Because these actions are vital, an international standard has been formulated to express light in terms of melanopsin stimulation. Short wavelengths are absorbed best by melanopsin and should drive its effects most strongly. We report that melanopsin's cellular and behavioral effects show little or even opposite wavelength sensitivity in some regimes. This divergence stems from melanopsin's persistent activity, which generates adaptation. Wavelengths absorbed strongly by melanopsin produce high persistent activity and adaptation, giving net desensitization, whereas wavelengths absorbed weakly can produce sensitization instead. We provide a quantitative model that captures these transformations. This work indicates how the downstream actions of a molecule may diverge starkly from its intrinsic properties.

neuroscience↗

bioRxiv2026

An optogenetics-compatible red fluorescent calcium indicator with negligible blue light photoactivation

Red genetically encoded calcium indicators (GECIs) are important tools for live cell and in vivo imaging. However, their application in optogenetic experiments has been limited by their complex photophysics, which can yield blue-light-induced artifacts. These photophysical drawbacks arise from the fluorescent protein (FP) used to construct the GECI. To address these limitations, we engineered novel red GECIs based on photostable red FPs, including mScarlet variants. After testing multiple design topologies and screening for calcium responses, we identified a lead variant, named ScaRCaMP-1.0. ScaRCaMP-1.0 exhibits moderate Ca2+ responses ({Delta}F/F0 = -13%) relative to other red GECIs, a tradeoff that appears to have enabled remarkable blue-light photostability at power densities exceeding 200 mW/mm2. We validated the performance of ScaRCaMP-1.0 in an optogenetic regime, and in vivo via fiber photometry. Finally, guided by structural predictions, we investigated the mechanism underlying ScaRCaMP responses. A pair of lysine residues on the surface of the FP appear to be important for controlling Ca2+ responses, and mutation of one residue (K132Y) notably increased the response size ({Delta}F/F0 = -22%) without compromising blue-light photostability. We call the improved variant ScaRCaMP-2.0. Taken together, these results establish ScaRCaMP as an optogenetics-compatible red GECI and demonstrate the potential of mScarlet-based fluorophores as a basis for generating photostable red biosensors.

neuroscience↗

bioRxiv2026

Synchrony within Aβ mechanoreceptor subtypes governs signal propagation to primary somatosensory cortex

Fast-conducting A{beta} slowly adapting type I low threshold mechanoreceptors (SAI-LTMRs) and A{beta} rapidly adapting type I (RAI-) LTMRs are critical for discriminative touch from glabrous skin. Recent studies used mouse genetic loss-of-function and optogenetic gain-of-function manipulations to determine that signals from these A{beta} LTMRs are integrated subcortically to build the cortical representation of touch. However, the precise influence of each subtype on downstream responses is unclear, in part because previous manipulations lacked the capacity to reproduce physiological firing patterns in individual A{beta} LTMR subtypes. Here, we took advantage of a fast variant of channelrhodopsin, CatCh, which enabled us to generate physiological spiking rates and patterns in either subtype while monitoring responses in mouse primary somatosensory cortex (S1). Doing so revealed that propagation of steady-state signals from sustained responses of A{beta} SAI-LTMRs to neural activity (spiking and local field potential) in S1 is dependent on synchronous activation of multiple A{beta} SAI-LTMRs. Asynchronous activation of the same A{beta} SAI-LTMRs rarely produced sustained responses in S1 measured at the level of single unit spiking as well as local field potentials. This suggests that the irregular firing patterns of A{beta} SAI-LTMRs during static indentations contribute to the preponderance of transient cortical responses. By contrast, both synchronous and asynchronous activation of multiple A{beta} RAI-LTMRs resulted in robust S1 responses. Overall, the temporal patterning and synchrony of activity within A{beta} LTMR subtypes govern how well their signals propagate through the ascending somatosensory system. Key PointsO_LICatCh, a sensitive and fast channelrhodopsin variant, enables pulsed-light generation of physiological spiking patterns in A{beta} low threshold mechanoreceptor (LTMR) subtypes. C_LIO_LIThe synchrony of multiple mechanoreceptors within a subtype controls the extent to which their signals influence activity in primary somatosensory cortex. C_LIO_LIA{beta} rapidly adapting type I (RAI-) LTMRs drive stronger cortical responses than A{beta} slowly adapting type I (SAI-) LTMRs, especially when considering asynchronous activation of A{beta} LTMRs within each subtype. C_LI

neuroscience↗

bioRxiv2025

Fast-conducting mechanonociceptors uniquely engage reflexive and affective pain circuitry to drive protective responses

Nociceptors detect damaging stimuli and evoke pain in healthy animals. We conducted an optogenetic activation screen to identify genetically defined nociceptor populations that elicit place aversion and nocifensive behaviors in response to stimulation. Smr2Cre- and Bmpr1bCre-labeled A{delta} high-threshold mechanoreceptors (HTMRs) emerged as two of the few nociceptor populations, and we focused on investigating their physiological, morphological, functional, and synaptic properties. These neurons densely innervate skin and other organs, are activated only by intense, potentially damaging stimuli, and are necessary for protective responses to sharp mechanical stimuli. Centrally, A{delta}-HTMRs projections span multiple spinal segments and terminate across spinal cord laminae, forming strong, monosynaptic connections onto anterolateral tract projection neurons, including antenna cells of the deep dorsal horn. A{delta}-HTMRs also engage a local spinal reflex circuit enabling a remarkably rapid limb withdrawal. Thus, A{delta}-HTMRs are myelinated nociceptors with unique properties that can be exploited for development of new analgesics.

neuroscience↗

bioRxiv2024

Spiking networks that efficiently process dynamic sensory features explain receptor information mixing in somatosensory cortex

How do biological neural systems efficiently encode, transform and propagate information between the sensory periphery and the sensory cortex about sensory features evolving at different time scales? Are these computations efficient in normative information processing terms? While previous work has suggested that biologically plausible models of of such neural information processing may be implemented efficiently within a single processing layer, how such computations extend across several processing layers is less clear. Here, we model propagation of multiple time-varying sensory features across a sensory pathway, by extending the theory of efficient coding with spikes to efficient encoding, transformation and transmission of sensory signals. These computations are optimally realized by a multilayer spiking network with feedforward networks of spiking neurons (receptor layer) and recurrent excitatory-inhibitory networks of generalized leaky integrate-and-fire neurons (recurrent layers). Our model efficiently realizes a broad class of feature transformations, including positive and negative interaction across features, through specific and biologically plausible structures of feedforward connectivity. We find that mixing of sensory features in the activity of single neurons is beneficial because it lowers the metabolic cost at the network level. We apply the model to the somatosensory pathway by constraining it with parameters measured empirically and include in its last node, analogous to the primary somatosensory cortex (S1), two types of inhibitory neurons: parvalbumin-positive neurons realizing lateral inhibition, and somatostatin-positive neurons realizing winner-take-all inhibition. By implementing a negative interaction across stimulus features, this model captures several intriguing empirical observations from the somatosensory system of the mouse, including a decrease of sustained responses from subcortical networks to S1, a non-linear effect of the knock-out of receptor neuron types on the activity in S1, and amplification of weak signals from sensory neurons across the pathway.

neuroscience↗

bioRxiv2024

MYC is sufficient to generate mid-life high-grade serous ovarian and uterine serous carcinomas in a p53-R270H mouse model

Genetically engineered mouse models (GEMM) have fundamentally changed how ovarian cancer etiology, early detection, and treatment is understood. However, previous GEMMs of high-grade serous ovarian cancer (HGSOC) have had to utilize genetics rarely or never found in human HGSOC to yield ovarian cancer within the lifespan of a mouse. MYC, an oncogene, is amongst the most amplified genes in HGSOC, but it has not previously been utilized to drive HGSOC GEMMs. We coupled Myc and dominant negative mutant p53-R270H with a fallopian tube epithelium-specific promoter Ovgp1 to generate a new GEMM of HGSOC. Female mice developed lethal cancer at an average of 15.1 months. Histopathological examination of mice revealed HGSOC characteristics including nuclear p53 and nuclear MYC in clusters of cells within the fallopian tube epithelium and ovarian surface epithelium. Unexpectedly, nuclear p53 and MYC clustered cell expression was also identified in the uterine luminal epithelium, possibly from intraepithelial metastasis from the fallopian tube epithelium (FTE). Extracted tumor cells exhibited strong loss of heterozygosity at the p53 locus, leaving the mutant allele. Copy number alterations in these cancer cells were prevalent, disrupting a large fraction of genes. Transcriptome profiles most closely matched human HGSOC and serous endometrial cancer. Taken together, these results demonstrate the Myc and Trp53-R270H transgene was able to recapitulate many phenotypic hallmarks of HGSOC through the utilization of strictly human-mimetic genetic hallmarks of HGSOC. This new mouse model enables further exploration of ovarian cancer pathogenesis, particularly in the 50% of HGSOC which lack homology directed repair mutations. Histological and transcriptomic findings are consistent with the hypothesis that uterine serous cancer may originate from the fallopian tube epithelium.

cancer biology↗

bioRxiv2023

Nerve injury disrupts temporal processing in the spinal cord dorsal horn through alterations in PV+ interneurons

How mechanical allodynia following nerve injury is encoded in patterns of neural activity in the spinal cord dorsal horn (DH) is not known. We addressed this using the spared nerve injury model of neuropathic pain and in vivo electrophysiological recordings. Surprisingly, despite dramatic behavioral over-reactivity to mechanical stimuli following nerve injury, an overall increase in sensitivity or reactivity of DH neurons was not observed. We did, however, observe a marked decrease in correlated neural firing patterns, including the synchrony of mechanical stimulus-evoked firing, across the DH. Alterations in DH temporal firing patterns were recapitulated by silencing DH parvalbumin+ (PV+) inhibitory interneurons, previously implicated in mechanical allodynia, as were allodynic pain-like behaviors in mice. These findings reveal decorrelated DH network activity, driven by alterations in PV+ interneurons, as a prominent feature of neuropathic pain, and suggest that restoration of proper temporal activity is a potential treatment for chronic neuropathic pain.

neuroscience↗

bioRxiv2021

Mechanoreceptor synapses in the brainstem shape the central representation of touch

Mammals use glabrous (hairless) skin of their hands and feet to navigate and manipulate their environment. Cortical maps of the body surface across species contain disproportionately large numbers of neurons dedicated to glabrous skin sensation, potentially reflecting a higher density of mechanoreceptors that innervate these skin regions. Here, we find that disproportionate representation of glabrous skin emerges over postnatal development at the first synapse between peripheral mechanoreceptors and their central targets in the brainstem. Mechanoreceptor synapses undergo developmental refinement that depends on proximity of their terminals to glabrous skin, such that those innervating glabrous skin make synaptic connections that expand their central representation. In mice that do not sense gentle touch, mechanoreceptors innervating glabrous skin still make more powerful synaptic connections in the brainstem. We propose that the skin region a mechanoreceptor innervates controls refinement of its central synapses over development to shape the representation of touch in the brain.

neuroscience↗