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- Creators: Ira A. Fulton Schools of Engineering
- Resource Type: Text
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval
Fruit fly embryogenesis is one of the best understood animal development systems, and the spatiotemporal gene expression dynamics in this process are captured by digital images. Analysis of these high-throughput images will provide novel insights into the functions, interactions, and networks of animal genes governing development. To facilitate comparative analysis, web-based interfaces have been developed to conduct image retrieval based on body part keywords and images. Currently, the keyword annotation of spatiotemporal gene expression patterns is conducted manually. However, this manual practice does not scale with the continuously expanding collection of images. In addition, existing image retrieval systems based on the expression patterns may be made more accurate using keywords.
Results
In this article, we adapt advanced data mining and computer vision techniques to address the key challenges in annotating and retrieving fruit fly gene expression pattern images. To boost the performance of image annotation and retrieval, we propose representations integrating spatial information and sparse features, overcoming the limitations of prior schemes.
Conclusions
We perform systematic experimental studies to evaluate the proposed schemes in comparison with current methods. Experimental results indicate that the integration of spatial information and sparse features lead to consistent performance improvement in image annotation, while for the task of retrieval, sparse features alone yields better results.
Use of psychostimulants, such as cocaine, is associated with an increased risk of human immunodeficiency virus (HIV) infection. Dopaminergic signaling within the nucleus accumbens (NAc) is critically implicated in both disease states, mediating the addictive and reinforcing effects of cocaine and perpetuating HIV replication throughout the central nervous system (CNS). Cocaine and HIV induce neurobehavioral deficits separately; however, little is known regarding how they interact to dysregulate neuroimmune function or how this impacts relapse vulnerability. We have previously shown that inhibition of dopamine D3 receptor (D3R) signaling using MC-25-41, a novel and highly selective D3R partial agonist, attenuates cocaine-seeking behavior. Here, we sought to characterize changes in neuroimmune function in a rat model of combined HIV and cocaine use disorders across abstinence and examined the therapeutic efficacy of MC-25-41 in the presence of this comorbidity. Male rats were systemically treated with the HIV protein gp120 after establishing a history of cocaine self-administration and then, following 21 days of abstinence, were administered a systemic injection of MC-25-41 (10 mg/kg) prior to cue reactivity testing. Glial fibrillary acidic protein (GFAP) and ionized calcium-binding adapter molecule 1 (Iba1) immunoreactivity were analyzed after 5 or 21 days of cocaine abstinence as an index of glial cell levels. We demonstrate that inhibition of D3R signaling significantly attenuates cue-induced cocaine seeking among control rats but not gp120-exposed rats. Moreover, we show that NAc core GFAP and Iba1 expression is impaired by 5 days of abstinence, which persists into protracted abstinence and cue reactivity testing. However, we also demonstrate that neither gp120 nor D3R inhibition significantly altered NAc core GFAP or Iba1 expression. Altogether, these results reveal significant changes in glial cell function across cocaine abstinence and unique behavioral interactions with gp120 may inhibit the effectiveness of medication regimens, which highlights the need to consider these comorbidities when treating HIV infection.