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Dive into the research topics where Stephen A. Allsop is active.

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Featured researches published by Stephen A. Allsop.


Frontiers in Behavioral Neuroscience | 2014

Optogenetic insights on the relationship between anxiety-related behaviors and social deficits

Stephen A. Allsop; Caitlin M. Vander Weele; Romy Wichmann; Kay M. Tye

*Correspondence: Kay M. Tye, Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building Room 46-6263, Cambridge, MA 02139, USA e-mail: [email protected] Many psychiatric illnesses are characterized by deficits in the social domain. For example, there is a high rate of co-morbidity between autism spectrum disorders and anxiety disorders. However, the common neural circuit mechanisms by which social deficits and other psychiatric disease states, such as anxiety, are co-expressed remains unclear. Here, we review optogenetic investigations of neural circuits in animal models of anxiety-related behaviors and social behaviors and discuss the important role of the amygdala in mediating aspects of these behaviors. In particular, we focus on recent evidence that projections from the basolateral amygdala (BLA) to the ventral hippocampus (vHPC) modulate anxiety-related behaviors and also alter social interaction. Understanding how this circuit influences both social behavior and anxiety may provide a mechanistic explanation for the pathogenesis of social anxiety disorder, as well as the prevalence of patients co-diagnosed with autism spectrum disorders and anxiety disorders. Furthermore, elucidating how circuits that modulate social behavior also mediate other complex emotional states will lead to a better understanding of the underlying mechanisms by which social deficits are expressed in psychiatric disease.Many psychiatric illnesses are characterized by deficits in the social domain. For example, there is a high rate of co-morbidity between autism spectrum disorders and anxiety disorders. However, the common neural circuit mechanisms by which social deficits and other psychiatric disease states, such as anxiety, are co-expressed remains unclear. Here, we review optogenetic investigations of neural circuits in animal models of anxiety-related behaviors and social behaviors and discuss the important role of the amygdala in mediating aspects of these behaviors. In particular, we focus on recent evidence that projections from the basolateral amygdala (BLA) to the ventral hippocampus (vHPC) modulate anxiety-related behaviors and also alter social interaction. Understanding how this circuit influences both social behavior and anxiety may provide a mechanistic explanation for the pathogenesis of social anxiety disorder, as well as the prevalence of patients co-diagnosed with autism spectrum disorders and anxiety disorders. Furthermore, elucidating how circuits that modulate social behavior also mediate other complex emotional states will lead to a better understanding of the underlying mechanisms by which social deficits are expressed in psychiatric disease.


Nature Reviews Urology | 2011

The DABBEC Phenotyping System: towards a mechanistic understanding of CP/CPPS

Stephen A. Allsop; Derek J. Erstad; Karolina Brook; Salman Bhai; Jeffrey M. Cohen; Jordan D. Dimitrakoff

There is an urgent need to elucidate the mechanistic basis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), as the current methods of symptom-based diagnosis and treatment have failed. Here, we propose a phenotyping system that bridges the gap between the symptom-based diagnosis and treatment of the present and the mechanistic approach of the future. Our phenotyping system uses the Chronic Prostatitis Collaborative Research Network (CPCRN)-recommended algorithm in combination with the NIH Chronic Prostatitis Symptom Index (NIH-CPSI) as a basis for diagnosis, while incorporating novel domains for quantitative assessment and stratification of CP/CPPS patients. We believe this novel system will serve to help advance our understanding of the roles of the patients genome and proteome in the etiology of CP/CPPS. We predict that, as we begin to understand the mechanistic basis of CP/CPPS pathology and progression, we will develop specific treatments that will aim to cure the disease, rather than merely quell the symptoms.


Clinical Cancer Research | 2015

Biologic Activity of Autologous, Granulocyte–Macrophage Colony-Stimulating Factor Secreting Alveolar Soft-Part Sarcoma and Clear Cell Sarcoma Vaccines

John M. Goldberg; David E. Fisher; George D. Demetri; Donna Neuberg; Stephen A. Allsop; Catia Fonseca; Yukoh Nakazaki; David Nemer; Chandrajit P. Raut; Suzanne George; Jeffrey A. Morgan; Andrew J. Wagner; Gordon J. Freeman; Jerome Ritz; Cecilia Lezcano; Martin C. Mihm; Christine Canning; F. Stephen Hodi; Glenn Dranoff

Purpose: Alveolar soft-part sarcoma (ASPS) and clear cell sarcoma (CCS) are rare mesenchymal malignancies driven by chromosomal translocations that activate members of the microphthalmia transcription factor (MITF) family. However, in contrast to malignant melanoma, little is known about their immunogenicity. To learn more about the host response to ASPS and CCS, we conducted a phase I clinical trial of vaccination with irradiated, autologous sarcoma cells engineered by adenoviral-mediated gene transfer to secrete granulocyte–macrophage colony-stimulating factor (GM-CSF). Experimental Design: Metastatic tumors from ASPS and CCS patients were resected, processed to single-cell suspensions, transduced with a replication-defective adenoviral vector encoding GM-CSF, and irradiated. Immunizations were administered subcutaneously and intradermally weekly three times and then every other week. Results: Vaccines were successfully manufactured for 11 of the 12 enrolled patients. Eleven subjects received from three to 13 immunizations. Toxicities were restricted to grade 1–2 skin reactions at inoculation sites. Vaccination elicited local dendritic cell infiltrates and stimulated T cell–mediated delayed-type hypersensitivity reactions to irradiated, autologous tumor cells. Antibody responses to tissue-type plasminogen activator (tTPA) and angiopoietins-1/2 were detected. Tumor biopsies showed programmed death-1 (PD-1)–positive CD8+ T cells in association with PD ligand-1 (PD-L1)–expressing sarcoma cells. No tumor regressions were observed. Conclusions: Vaccination with irradiated, GM-CSF–secreting autologous sarcoma cell vaccines is feasible, safe, and biologically active. Concurrent targeting of angiogenic cytokines and antagonism of the PD-1–negative regulatory pathway might intensify immune-mediated tumor destruction. Clin Cancer Res; 21(14); 3178–86. ©2015 AACR.


Cell | 2018

Corticoamygdala Transfer of Socially Derived Information Gates Observational Learning

Stephen A. Allsop; Romy Wichmann; Fergil Mills; Anthony Noel Burgos-Robles; Chia-Jung Chang; Ada C. Felix-Ortiz; Alienor Vienne; Anna Beyeler; Ehsan M. Izadmehr; Gordon Glober; Meghan I. Cum; Johanna Stergiadou; Kavitha K. Anandalingam; Kathryn M. Farris; Praneeth Namburi; Christopher A. Leppla; Javier C. Weddington; Edward H. Nieh; Anne C. Smith; Demba Ba; Emery N. Brown; Kay M. Tye

Observational learning is a powerful survival tool allowing individuals to learn about threat-predictive stimuli without directly experiencing the pairing of the predictive cue and punishment. This ability has been linked to the anterior cingulate cortex (ACC) and the basolateral amygdala (BLA). To investigate how information is encoded and transmitted through this circuit, we performed electrophysiological recordings in mice observing a demonstrator mouse undergo associative fear conditioning and found that BLA-projecting ACC (ACC→BLA) neurons preferentially encode socially derived aversive cue information. Inhibition of ACC→BLA alters real-time amygdala representation of the aversive cue during observational conditioning. Selective inhibition of the ACC→BLA projection impaired acquisition, but not expression, of observational fear conditioning. We show that information derived from observation about the aversive value of the cue is transmitted from the ACC to the BLA and that this routing of information is critically instructive for observational fear conditioning. VIDEO ABSTRACT.


American Journal of Physiology-renal Physiology | 2012

Ca 2+/calmodulin-dependent protein kinase II is associated with pelvic pain of neurogenic cystitis

Wenbin Yang; Charles N. Rudick; Eneda Hoxha; Stephen A. Allsop; Jordan D. Dimitrakoff; David J. Klumpp

Interstitial cystitis/painful bladder syndrome is a chronic bladder inflammatory disease of unknown etiology that is often regarded as a neurogenic cystitis. Interstitial cystitis is associated with urothelial lesions, voiding dysfunction, and pain in the pelvic/perineal area. In this study, we used a murine neurogenic cystitis model to identify genes participating in the development of pelvic pain. Neurogenic cystitis was induced by the injection of Barthas strain of pseudorabies virus (PRV) into the abductor caudalis dorsalis (tail base) muscle of female C57BL/6J mice. Mice infected with PRV developed progressive pelvic pain. The sacral spinal cord was harvested on postinfection days (PID) 2 and 4, and gene expression was analyzed by microarrays and confirmed by quantitative RT-PCR. On PID 2, the overall expression profile was similar to that of uninfected sacral spinal cord; by PID 4, there were substantial differences in expression of multiple functional classes of genes, especially inflammation. Analysis of pain-signaling pathways at the dorsal horn suggested that Ca(2+)/calmodulin-dependent protein kinase II (CaMKII) contributes to neurogenic cystitis pelvic pain. Consistent with this, CaMKIIδ expression exhibited a mast cell-dependent increase in the sacral spinal cord at the mRNA level, and phospho-CaMKII immunoreactivity in the dorsal horn was increased on postinfection day (PID) 4 during PRV infection. Finally, intrathecal injection of the CaMKII inhibitor KN-93 attenuated the PRV pain response. These data suggest that CaMKII plays a functional role in pelvic pain due to neurogenic cystitis.


Trends in Neurosciences | 2017

Endocannabinoid Signaling in the Control of Social Behavior

Don Wei; Stephen A. Allsop; Kay M. Tye; Daniele Piomelli

Many mammalian species, including humans, exhibit social behavior and form complex social groups. Mechanistic studies in animal models have revealed important roles for the endocannabinoid signaling system, comprising G protein-coupled cannabinoid receptors and their endogenous lipid-derived agonists, in the control of neural processes that underpin social anxiety and social reward, two key aspects of social behavior. An emergent insight from these studies is that endocannabinoid signaling in specific circuits of the brain is context dependent and selectively recruited. These insights open new vistas on the neural basis of social behavior and social impairment.


Neural Computation | 2018

Estimating a Separably Markov Random Field from Binary Observations

Yingzhuo Zhang; Noa Malem-Shinitski; Stephen A. Allsop; Kay M. Tye; Demba Ba

A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key limitation of current methods to analyze neural spiking data is the need to collapse neural activity over time or trials, which may cause the loss of information pertinent to understanding the function of a neuron or circuit. We introduce a new method that can determine not only the trial-to-trial dynamics that accompany the learning of a contingency by a neuron, but also the latency of this learning with respect to the onset of a conditioned stimulus. The backbone of the method is a separable two-dimensional (2D) random field (RF) model of neural spike rasters, in which the joint conditional intensity function of a neuron over time and trials depends on two latent Markovian state sequences that evolve separately but in parallel. Classical tools to estimate state-space models cannot be applied readily to our 2D separable RF model. We develop efficient statistical and computational tools to estimate the parameters of the separable 2D RF model. We apply these to data collected from neurons in the prefrontal cortex in an experiment designed to characterize the neural underpinnings of the associative learning of fear in mice. Overall, the separable 2D RF model provides a detailed, interpretable characterization of the dynamics of neural spiking that accompany the learning of a contingency.


PLOS ONE | 2013

Novel PI3Kγ Mutation in a 44-Year-Old Man with Chronic Infections and Chronic Pelvic Pain

Emeric Bojarski; Adam C. Strauss; Adam P. Fagin; Theo S. Plantinga; Alexander Hoischen; Joris A. Veltman; Stephen A. Allsop; Victor J. Anciano Granadillo; Arsani William; Mihai G. Netea; Jordan D. Dimitrakoff

A 44-year-old man is presented here with 14 years of chronic purulent sinusitis, a chronic fungal rash of the scrotum, and chronic pelvic pain. Treatment with antifungal therapy resulted in symptom improvement, however he was unable to establish an effective long-term treatment regimen, resulting in debilitating symptoms. He had undergone extensive work-up without identifying a clear underlying etiology, although Candida species were cultured from the prostatic fluid. 100 genes involved in the cellular immune response were sequenced and a missense mutation was identified in the Ras-binding domain of PI3Kγ. PI3Kγ is a crucial signaling element in leukotaxis and other leukocyte functions. We hypothesize that his mutation led to his chronic infections and pelvic pain.


Cell | 2015

Decoding Neural Circuits that Control Compulsive Sucrose Seeking

Edward H. Nieh; Gillian A. Matthews; Stephen A. Allsop; Kara N. Presbrey; Christopher A. Leppla; Romy Wichmann; Rachael L. Neve; Craig P. Wildes; Kay M. Tye


Current Urology Reports | 2011

The role of phenotyping in chronic prostatitis/chronic pelvic pain syndrome.

Brandon A. Mahal; Jeffrey M. Cohen; Stephen A. Allsop; John B. Moore; Salman Bhai; Gino Inverso; Jordan D. Dimitrakoff

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Demba Ba

Massachusetts Institute of Technology

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Anne C. Smith

University of California

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