Biology subjects

Campbell, R.

Publications and source records attributed to Campbell, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Generation of Infectious Prions Amenable to Site-specific Click Chemistry

Prion diseases are a group of fatal neurodegenerative diseases that proceed through the templated conversion of the normal PrPC protein to a self-propagating and infectious form, termed PrPSc. This conversion process is central to disease progression. However, due to difficulties in producing functional PrPSc molecules that can be selectively modified with chemical probes, many aspects of PrPSc biology cannot be directly studied. To overcome this limitation, we substituted p-azido-L-phenylalanine (AzF), a small click chemistry-reactive amino acid, for tryptophan residue 99 of PrPC. W99AzF PrPC substrate can efficiently and faithfully propagate either infectious or non-infectious PrPSc conformers in vitro. Critically, W99AzF PrPSc amyloid fibrils remain amenable to click chemistry by various ligands after the prion conversion process. Through the combination of site-specific substitution, the modularity of click chemistry, and the functional diversity of click labels, a multitude of modified prions can now be produced to ask targeted questions about the biochemical and biological basis of prion infectivity. O_FIG O_LINKSMALLFIG WIDTH=191 HEIGHT=200 SRC="FIGDIR/small/717205v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@562b13org.highwire.dtl.DTLVardef@12620e2org.highwire.dtl.DTLVardef@38e775org.highwire.dtl.DTLVardef@1e3c0cc_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Nucleus accumbens neuron subtype translatome signatures in socially stress females

Major depressive disorder (MDD) disproportionately affects women, yet the molecular mechanisms underlying female vulnerability remain poorly understood. The nucleus accumbens (NAc), a reward circuitry hub, is central to stress- and depression-related pathology. While NAc medium spiny neuron (MSN) transcriptional adaptations have been characterized in stressed male rodents, much less is known about female adaptations. To address this, we exposed female D1-Cre-RiboTag and A2A-Cre-RiboTag mice to chronic witness defeat stress (CWDS) and classified them as high- or low-social interactors. Ribosome-associated mRNA was isolated from MSN subtypes and analyzed by RNA sequencing, differential gene expression analysis (DEG), and weighted gene co-expression network analysis (WGCNA). Cross-species consensus WGCNA with male mouse and human transcriptomic datasets was performed to identify conserved, sex-specific signatures. We detected 9 differentially expressed genes (DEGs) in D1-MSNs and 630 in A2A-MSNs (FDR < 0.05). In D1-MSNs, DEGs were primarily upregulated in low interactors and enriched for energy homeostasis and cell adhesion. A2A-MSN DEGs included upregulated structural genes and downregulated neurotransmission-related genes. WGCNA identified 9 significant D1- and 5 significant A2A-MSN modules, with the most impacted enriched for PI3K-Akt-mTOR signaling and regulated by Nf1. Consensus analysis revealed a stress-associated, sex- and subtype-specific module enriched for PI3K-Akt-mTOR signaling conserved across mice and humans. These findings reveal female-specific MSN transcriptional adaptations to chronic social stress and implicate PI3K-Akt-mTOR signaling as a convergent molecular pathway. By highlighting MSN subtype-specific vulnerabilities, this work suggests potential therapeutic targets for alleviating stress-induced pathology in women with MDD.

neuroscience↗

bioRxiv2025

eDNA sampling reveals no negative effects of beaver recolonisation on the catchment-scale distribution of migratory fish

O_LIReintroduction of keystone species is considered part of the solution to the current biodiversity crisis. The Eurasian beaver (Castor fiber) is one such species, shaping its habitat by felling trees, building dams and creating wetlands. However, while the potential benefits to aquatic biodiversity and ecological functioning have been studied on a local scale, the impacts of beavers on catchment-scale processes such as fish migration remain understudied. C_LIO_LISequencing of environmental DNA (eDNA metabarcoding) from water samples is a cost-effective method to study species distributions across large geographical scales. Here, eDNA samples (n=426) were collected from 142 sites across the UKs oldest and largest established wild beaver population, located on Tayside, East Scotland, and analysed using a vertebrate specific metabarcoding assay. We combined presence/absence data from eDNA results with other environmental and anthropogenic variables to model the effects of beaver presence on the distribution of three migratory fish species. C_LIO_LIUsing generalised linear models, we found no effects of the current beaver presence on the distribution of Atlantic salmon or lamprey, but a positive co-occurrence with European eel at the catchment scale. Model outputs also reinforced previous findings on the impact of barriers to migration and other abiotic and biotic factors on fish species, demonstrating the effectiveness of eDNA sampling in rivers for understanding species distributions at a catchment scale. C_LIO_LIThis case study provides novel insights into the co-distribution of beavers and migratory fish, and highlights how catchment-wide eDNA monitoring can be applied by environmental managers to aid decision-making and impact assessment more generally. C_LI

ecology↗

bioRxiv2024

Identification of potential sepsis therapeutic drugs using a zebrafish rapid screening approach

In the military, combat wound infections can progress rapidly to life-threatening sepsis. Discovery of effective small molecule drugs to prevent and/or treat sepsis is a priority. To identify potential sepsis drug candidates, we used an optimized larval zebrafish model of endotoxicity/sepsis (Philip et al., 2017) to screen commercial libraries of U.S. Food and Drug Administration (FDA)- approved drugs and other active pharmaceutical ingredients (API) known to affect pathways implicated in the initiation and progression of sepsis in humans (i.e., inflammation, mitochondrial dysfunction, coagulation, and apoptosis). We induced endotoxicity in 3- and 5-day post fertilization larval zebrafish (characterized by mortality and tail fin edema (vascular leakage)) by immersion exposure to Pseudomonas aeruginosa 60 g/mL lipopolysaccharide (LPS) for 24 hours, then screened for the rescue potential of 644 selected drugs simultaneously with LPS at 10 M. After LPS exposure, we used a neurobehavioral assay (light-dark test) to further evaluate rescue from endotoxicity and to determine possible off-target drug side effects. We identified 29 drugs with > 60% rescue of tail edema and mortality. Three drugs (Ketanserin, Tegaserod, and Brexpiprazole) produced 100% rescue and did not differ from the controls in the light-dark test, suggesting a lack of off-target neurobehavioral effects. Further testing of these three drugs at a nearly 100% lethal concentration of Klebsiella pneumoniae LPS (45 g/mL) showed 100% rescue from mortality and 88%-100% mitigation against tail edema. The success of the three identified drugs in a zebrafish endotoxicity/sepsis model warrants further evaluation in mammalian sepsis models.

pharmacology and toxicology↗

bioRxiv2024

Analyzing Biodiversity in Protected vs. Unprotected Tide Pools

This study assessed the efficacy of marine protected areas (MPAs) by comparing tide pool biodiversity in Half Moon Bay, California between a protected site (Fitzgerald Marine Reserve) and an unprotected site (Mavericks Beach). Samples were collected through random quadrat surveys. ImageJ and RStudio were used to analyze data through three methods utilizing the Simpsons Diversity Index along with three metrics. The unprotected Mavericks Beach displayed greater biodiversity through two metrics while the third did not find significant difference in biodiversity between sites. 30 unique species were present at each site with 43 species between both. These mixed findings prevent us from drawing definitive conclusions on the effectiveness of Half Moon Bays tide pool MPAs but suggest the MPA is less biodiverse. Potential explanations include the Intermediate Disturbance Hypothesis, lack of sample size, or that the MPA is not effective in maintaining biodiversity.

ecology↗

bioRxiv2024

GERMIN3 plays a role in plasmodesmatal gating to regulate meristem activation related to tuberisation, tuber dormancy release and stem branching in potato

O_LIGERMIN3 has previously been identified as a target of the tuberigen activation complex suggesting a function in potato tuberisation but its role is presently unknown. C_LIO_LITo understand the role of GERMIN3 we analysed morphological, agronomic and molecular phenotypes in transgenic lines. C_LIO_LIGERMIN3 over-expressing lines of Solanum tuberosum ssp. andigena exhibited increased tuber yields under permissive conditions and enhanced tuber numbers. Post-harvest tuber sprouting exhibited reduced apical dominance with increased numbers of sprouts. Apical dominance was reduced in aerial tissues of mature plants where stem growth from axillary buds was activated. Similar results were observed in the commercial cultivar Desiree. Over-expression of GERMIN3 had no impact on the expression of SP6A, a positive regulator of tuberisation or TFL1B, a negative regulator. The GERMIN3 protein localised to the endoplasmic reticulum and transient expression in N. benthamiana leaves resulted in plasmodesmatal gating allowing intercellular transport of GFP-tagged sporamin independent of GERMIN3 oxalate oxidase activity. C_LIO_LIGERMIN3 affects tuberisation and other developmental processes by facilitating meristem activation. This identifies GERMIN3 as a novel protein associated with control of plasmodesmatal transport and supports the importance of plasmodesmatal gating in the regulation of key potato developmental processes. C_LI

plant biology↗

bioRxiv2024

Combined thermodynamic and time-resolved structural analysis of interactions between AP2 and biomimetic plasma membranes provides insights into clathrin-mediated endocytosis

Clathrin mediated endocytosis (CME) is the main mechanism for swift and selective uptake of proteins into eukaryotic cells. CME is initiated by recruitment to the plasma membrane (PM) of the adaptor protein AP2, which recognizes the PM-associated lipid PtdIns(4,5)P2, as well as the protein cargo to be internalized. Nonetheless, many aspects of this process remain unclear due to their in vivo complexity. Here, a thermodynamic and time-resolved structural analysis of AP2 binding to different biomimetic PM was undertaken under physiological conditions using a combination of neutron reflectometry, interfacial tensiometry and rheology, and atomic force microscopy. The resultant in vitro data replicated previous in vivo observations, as well as yielded biophysical insights into normal and aborted CME. The presence of cargo may not be pivotal for the "activating" conformational change of AP2. However, the presence of cargo extends AP2s residence time on the membrane surface, due to slower on- and off-rates, thereby tentatively giving sufficient time for CME to proceed fully. Moreover, upon interaction with AP2, phospholipid lateral diffusion decreases markedly, inducing a gel phase attributed to creating a percolated network involving AP2 on the membrane, which could potentially serve as a mechanism for modulating subsequent clathrin binding.

biophysics↗

bioRxiv2024

Heterozygous Eif4nif1 Stop Gain Mice Replicate the Primary Ovarian Insufficiency Phenotype in Women

We created the c.1286C>G stop-gain mutation found in a family with primary ovarian insufficiency (POI) at age 30 years. The Eif4enif1 C57/Bl6 transgenic mouse model contained a floxed exon 10-19 cassette with a conditional knock-in cassette containing the c.1286C>G stop-gain mutation in exon 10. The hybrid offspring of CMV-Cre mice with Eif4enif1WT/flx mice were designated Eif4enif1WT/{Delta} for simplicity. A subset of female heterozygotes (Eif4enif1WT/{Delta}) had no litters. In those with litters, the final litter was earlier (5.4{+/-}2.6 vs. 10.5{+/-}0.7 months; p=0.02). Heterozygous breeding pair (Eif4enif1WT/{Delta} x Eif4enif1WT/{Delta}) litter size was 60% of WT litter size (3.9{+/-}2.0 vs. 6.5{+/-}3.0 pups/litter; p<0.001). The genotypes were 35% Eif4enif1WT/flx and 65% Eif4enif1WT/{Delta}, with no homozygotes. Homozygote embryos did not develop beyond the 4-8 cell stage. The number of follicles in ovaries from Eif4enif1WT/{Delta} mice was lower starting at the primordial (499{+/-}290 vs. 1445{+/-}381) and primary follicle stage (1069{+/-}346 vs. 1450{+/-}193) on day 10 (p<0.05). The preantral follicle number was lower starting on day 21 (213{+/-}86 vs. 522{+/-}227; p<0.01). Examination of ribosome protected mRNAs (RPR) demonstrated altered mRNA expression. The Eif4enif1 stop-gain mice replicate the POI phenotype in women. The unique mouse model provides a platform to study regulation of protein translation across oocyte and embryo development in mammals.

developmental biology↗

bioRxiv2023

Using a decision tree to predict COVID case numbers: a tutorial for beginners

This manuscript describes the development of a module that is part of a learning platform named "NIGMS Sandbox for Cloud-based Learning" https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module delivers learning materials on machine learning and decision tree concepts in an interactive format that uses appropriate cloud resources for data access and analyses. Machine learning (ML) is an important tool in biomedical research and can lead to improvements in diagnosis, treatment, and prevention of diseases. During the COVID pandemic ML was used for predictions at the patient and community levels. Given its ubiquity, it is important that future doctors, researchers and teachers get acquainted with ML and its contributions to research. Our goal is to make it easier for everyone to learn about machine learning. The learning module we present here is based on a small COVID dataset, videos, annotated code and the use of Google Colab or the Google Cloud Platform (GCP). The benefit of these platforms is that students do not have to set up a programming environment on their computer which saves time and is also an important democratization factor. The module focuses on learning the basics of decision trees by applying them to COVID data. It introduces basic terminology used in supervised machine learning and its relevance to research. Our experience with biology students at San Francisco State University suggests that the material increases interest in ML.

scientific communication and education↗

bioRxiv2023

A blue-shifted genetically encoded Ca2+ indicator with enhanced two-photon absorption

SignificanceGenetically encoded calcium ion (Ca2+) indicators (GECIs) are powerful tools for monitoring intracellular Ca2+ concentration changes in living cells and model organisms. In particular, GECIs have found particular utility for monitoring the transient increase of Ca2+ concentration that is associated with the neuronal action potential. However, the palette of highly optimized GECIs for imaging of neuronal activity remains relatively limited. Expanding the selection of available GECIs to include new colors and distinct photophysical properties could create new opportunities for in vitro and in vivo fluorescence imaging of neuronal activity. In particular, blue-shifted variants of GECIs are expected to have enhanced two-photon brightness, which would facilitate multiphoton microscopy. AimWe describe the development and applications of T-GECO1 - a high-performance blue-shifted GECI based on the Clavularia sp.-derived mTFP1. ApproachWe used protein engineering and extensive directed evolution to develop T-GECO1. We characterize the purified protein and assess its performance in vitro using one-photon excitation in cultured rat hippocampal neurons, in vivo using one-photon excitation fiber photometry in mice, and ex vivo using two-photon Ca2+ imaging in hippocampal slices. ResultsThe Ca2+-bound state of T-GECO1 has an excitation peak maximum of 468 nm, an emission peak maximum of 500 nm, an extinction coefficient of 49,300 M-1cm-1, a quantum yield of 0.83, and two-photon brightness approximately double that of EGFP. The Ca2+-dependent fluorescence increase is 15-fold and the apparent Kd for Ca2+ is 82 nM. With two-photon excitation conditions at 850 nm, T-GECO1 consistently enabled detection of action potentials with higher signal-to-noise (SNR) than a late generation GCaMP variant. ConclusionT-GECO1 is a high performance blue-shifted GECI that, under two-photon excitation conditions, provides advantages relative to late generation GCaMP variants.

neuroscience↗

bioRxiv2022

Application of Aligned-UMAP to longitudinal biomedical studies

Longitudinal multi-dimensional biological datasets are ubiquitous and highly abundant. These datasets are essential to understanding disease progression, identifying subtypes, and drug discovery. Discovering meaningful patterns or disease pathophysiologies in these datasets is challenging due to their high dimensionality, making it difficult to visualize hidden patterns. Several methods have been developed for dimensionality reduction, but they are limited to cross-sectional datasets. Recently proposed Aligned-UMAP, an extension of the UMAP algorithm, can visualize high-dimensional longitudinal datasets. In this work, we applied Aligned-UMAP on a broad spectrum of clinical, imaging, proteomics, and single-cell datasets. Aligned-UMAP reveals time-dependent hidden patterns when color-coded with the metadata. We found that the algorithm parameters also play a crucial role and must be tuned carefully to utilize the algorithms potential fully. Altogether, based on its ease of use and our evaluation of its performance on different modalities, we anticipate that Aligned-UMAP will be a valuable tool for the biomedical community. We also believe our benchmarking study becomes more important as more and more high-dimensional longitudinal data in biomedical research becomes available. Highlights- explored the utility of Aligned-UMAP in longitudinal biomedical datasets - offer insights on optimal uses for the technique - provide recommendations for best practices In BriefHigh-dimensional longitudinal data is prevalent yet understudied in biological literature. High-dimensional data analysis starts with projecting the data to low dimensions to visualize and understand the underlying data structure. Though few methods are available for visualizing high dimensional longitudinal data, they are not studied extensively in real-world biological datasets. A recently developed nonlinear dimensionality reduction technique, Aligned-UMAP, analyzes sequential data. Here, we give an overview of applications of Aligned-UMAP on various biomedical datasets. We further provide recommendations for best practices and offer insights on optimal uses for the technique.

bioinformatics↗

bioRxiv2022

Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts.

BackgroundThe clinical manifestations of Parkinsons disease (PD) are characterized by heterogeneity in age at onset, disease duration, rate of progression, and the constellation of motor versus non-motor features. There is an unmet need for the characterization of distinct disease subtypes as well as improved, individualized predictions of the disease course. The emergence of machine learning to detect hidden patterns in complex, multi-dimensional datasets provides unparalleled opportunities to address this critical need. Methods and FindingsWe used unsupervised and supervised machine learning methods on comprehensive, longitudinal clinical data from the Parkinsons Disease Progression Marker Initiative (PPMI) (n = 294 cases) to identify patient subtypes and to predict disease progression. The resulting models were validated in an independent, clinically well-characterized cohort from the Parkinsons Disease Biomarker Program (PDBP) (n = 263 cases). Our analysis distinguished three distinct disease subtypes with highly predictable progression rates, corresponding to slow, moderate, and fast disease progression. We achieved highly accurate projections of disease progression five years after initial diagnosis with an average area under the curve (AUC) of 0.92 (95% CI: 0.95 {+/-} 0.01 for the slower progressing group (PDvec1), 0.87 {+/-} 0.03 for moderate progressors, and 0.95 {+/-} 0.02 for the fast progressing group (PDvec3). We identified serum neurofilament light (Nfl) as a significant indicator of fast disease progression among other key biomarkers of interest. We replicated these findings in an independent validation cohort, released the analytical code, and developed models in an open science manner. ConclusionsOur data-driven study provides insights to deconstruct PD heterogeneity. This approach could have immediate implications for clinical trials by improving the detection of significant clinical outcomes that might have been masked by cohort heterogeneity. We anticipate that machine learning models will improve patient counseling, clinical trial design, allocation of healthcare resources, and ultimately individualized patient care.

bioinformatics↗

bioRxiv2022

Reproducibility of in-vivo electrophysiological measurements in mice

Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within the context of electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using a shared, open-source behavioral task and experimental apparatus. Experimenters in ten laboratories repeatedly targeted Neuropixels probes to the same location (spanning secondary visual areas, hippocampus, and thalamus) in mice making decisions; this generated a total of 121 experimental replicates, a unique dataset for evaluating reproducibility of electrophysiology experiments. Despite standardizing both behavioral and electrophysiological procedures, some experimental outcomes were highly variable. A closer analysis uncovered that variability in electrode targeting hindered reproducibility, as did the limited statistical power of some routinely used electrophysiological analyses, such as single-neuron tests of modulation by individual task parameters. Reproducibility was enhanced by histological and electrophysiological quality-control criteria. Our observations suggest that data from systems neuroscience is vulnerable to a lack of reproducibility, but that across-lab standardization, including metrics we propose, can serve to mitigate this.

neuroscience↗

bioRxiv2022

Single cell analysis of senescent epithelia reveals targetable mechanisms promoting fibrosis

Progressive fibrosis and maladaptive organ repair result in significant morbidity and millions of premature deaths annually. Senescent cells accumulate with ageing and after injury and are implicated in organ fibrosis, but the mechanisms by which senescence influences repair are poorly understood. Using two murine models of injury and repair we show that obstructive injury generates senescent epithelia which persist after resolution of the original injury, promote ongoing fibrosis and impede adaptive repair. Depletion of senescent cells with ABT263 reduces fibrosis in reversed ureteric obstruction and after renal ischaemia-reperfusion injury. We validate these findings in humans, showing that senescence and fibrosis persist after relieved renal obstruction. We next characterise senescent epithelia in murine renal injury using single cell RNA-Seq. We extend our classification to human kidney and liver disease and identify conserved pro-fibrotic proteins which we validate in vitro and in human disease. We demonstrate that one such molecule, Protein Disulfide Isomerase Family A Member 3 (PDIA3), is essential for TGF-beta mediated fibroblast activation. Inhibition of PDIA3 in vivo significantly reduces kidney fibrosis during ongoing renal injury and as such represents a new potential therapeutic pathway. Analysis of the signalling pathways of senescent epithelia connects senescence to organ fibrosis, permitting rational design of anti-fibrotic therapies.

cell biology↗

bioRxiv2022

High-fidelity dendritic sodium spike generation in human layer 2/3 neocortical pyramidal neurons

Dendritic computations have a central role in rodent neocortical circuit function, which are signaled into neuronal output by the initiation and propagation of regenerative dendritic spikes. However, it remains poorly explored whether these mechanisms are operational in the human neocortex. To directly examine the dendritic computational properties of the most numerous class of pyramidal neuron in the human and rat neocortex we made simultaneous electrical recordings from the soma and apical dendrites of layer 2/3 pyramidal neurons maintained in acute brain slices of analogous cortical areas under identical experimental conditions. In both species correlated dendritic excitatory input led to the initiation of sodium channel-mediated dendritic spikes with conserved biophysical properties. Dendritic sodium spikes in human and rat layer 2/3 pyramidal neurons could be generated across a similar wide input range, exhibited a similar frequency range of activation, and forward propagated with high fidelity to drive neuronal output to implement stereotyped computations. Our findings therefore reveal that the dendritic computational properties of human layer 2/3 pyramidal neurons are phylogenetically conserved.

neuroscience↗

bioRxiv2022

Evaluation of PRKACA as a Therapeutic Target for Fibrolamellar Carcinoma

Background & AimsFibrolamellar carcinoma (FLC) is a rare, difficult-to-treat liver cancer primarily affecting pediatric and adolescent patients, and for which precision medicine approaches have historically not been possible. The DNAJB1-PRKACA gene fusion was identified as a driver of FLC pathogenesis. We aimed to assess whether FLC tumors maintain dependency on this gene fusion and determine if PRKACA is a viable therapeutic target. MethodsFLC patient-derived xenograft (PDX) shRNA cell lines were implanted subcutaneously into female NOD-SCID mice and tumors were allowed to develop prior to randomization to doxycycline (to induce knockdown) or control groups. Tumor development was assessed every 2 days. To assess the effect of treatment with novel selective PRKACA small molecule kinase inhibitors, BLU0588 and BLU2864, FLC PDX tumor cells were implanted subcutaneously into NOD-SCID mice and tumors allowed to develop. Mice were randomized to treatment (BLU0588 and BLU2864, orally, once daily) or control groups and tumor size determined as above. ResultsKnockdown of DNAJB1-PRKACA reversed a FLC-specific gene signature and reduced PDX tumor growth in mice compared to the control group. Furthermore, FLC PDX tumor growth was significantly reduced with BLU0588 and BLU2864 treatment versus control (P = 0.003 and P = 0.0005, respectively). ConclusionsWe demonstrated, using an inducible knockdown and small molecule approaches, that FLC PDX tumors were dependent upon DNAJB1-PRKACA fusion activity. In addition, this study serves as a proof-of-concept that PRKACA is a viable therapeutic target for FLC and warrants further investigation.

cancer biology↗

bioRxiv2021

Distinct properties in ventral pallidum projection neuron subtypes

The ventral pallidum (VP) is central to reward seeking and withdrawal from drugs of abuse. A characteristic of the VP is the diversity of its projection targets. Yet, it remains unknown whether different VP projections also differ in other aspects, such as their transcriptome, physiology and relevance to drug reward. In this study we perform a multimodal dissection of four major projections of the VP - to the lateral hypothalamus (VP[->]LH), ventral tegmental area (VP[->]VTA), lateral habenula (VP[->]LHb) and mediodorsal thalamus (VP[->]MDT) - with physiological, anatomical, genetic and behavioral tools and show significant differences between projections in all aspects. Specifically, the VP[->]LH and VP[->]VTA projections show minimal overlap and stand out as having opposite properties - VP[->]LH neurons show higher excitability compared to VP[->]VTA neurons, different pattern of inputs and differentially expressed genes. Moreover, inhibition of VP[->]LH projections diminishes, while inhibition of VP[->]VTA enhances cocaine preference after cocaine withdrawal. This demonstrates that VP projections are heterogenous neuron populations with different roles in cocaine withdrawal.

neuroscience↗

bioRxiv2021

Activation of Npas1-neurons in the Ventral Pallidum Mediates Stress Susceptibility

AbstractAltered activity of the ventral pallidum (VP) underlies disrupted motivation in stress and drug exposure. The VP is a very heterogeneous structure comprised of many neuron types with distinct physiological properties and projections. Neuronal PAS 1-positive (Npas1+) VP neurons are thought to send projections to brain regions critical for motivational behavior. While Npas1+ neurons have been characterized in the globus pallidus external, there is limited information on these neurons in the VP. To address this limitation, we evaluated the projection targets of the VP Npas1+ neurons and performed RNA-seq on ribosome-associated mRNA from VP Npas1+ neurons to determine their molecular identity. Finally, we used a chemogenetic approach to manipulate VP Npas1+ neurons during social defeat stress (SDS) and behavioral tasks related to anxiety and motivation in Npas1-Cre mice. We employed a similar approach in females using the chronic witness defeat stress (CWDS). We identified VP Npas1+ projections to the nucleus accumbens, ventral tegmental area, medial and lateral habenula, lateral hypothalamus, thalamus, medial and lateral septum, and periaqueductal gray area. VP Npas1+ neurons displayed distinct transcriptomes representing distinct biological processes. Chemogenetic activation of VP Npas1+ neurons increased susceptibility to a subthreshold (S)SDS and anxiety-like behavior in the elevated plus maze and open field while the inhibition of VP Npas1+ neurons enhanced resilience to chronic (C)SDS and CWDS. Thus, the activity of VP Npas1+ neurons modulates susceptibility to social stressors and anxiety-like behavior. Our studies provide new information into VP Npas1+ neuron circuitry, molecular identity, and their role in stress response.

neuroscience↗