Dr.Gergana Nestorova Louisiana Tech University research lab
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  • About
  • LAB MEMBERS
  • Projects
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​​The Applied Genomics and Biotechnology Lab

 ​​​​​Exosense: a lab-on-a-chip platforms for solid-phase purification of exosomes​ 

PictureMicrofluidic device for co-culture of neuron and astrocytes with an integrated microneedle
Integration of neurotechnologies with lab-on-a-chip systems for real-time analysis of brain cells communication is a rapidly emerging sub-field of neuroscience. The Applied Genomics and Biotechnology Lab is developing a cell co-culture microfluidic platform with integrated microprobes for selective capture, purification and real-time analysis of astrocytes and neurons intracellular interactions.The goal of this project is to develop an integrated, simple, and selective micro-device for direct and antigen-specific purification of exosomes from biological samples with high spatial resolution. Detection and analysis of circulating exosomes in the central nervous system is an emerging method for more precise and non-invasive diagnosis and monitoring of neurological disorders. 

Exosomal microRNA expression as biomarkers for assessment of radiation-induced neurological injury

PictureExperimental workflow for identification of exosomal microRNAs biomarkers for radiation injury
The goal this project is to identify exosomal microRNA (miRNA) biomarkers for early detection of radiation-induced brain injury. Identification of non-invasive biomarkers that can provide accurate and unbiased assessment of the physiological response to radiation could facilitate the development of pharmaceuticals or
technologies to minimize the detrimental effects of ionizing radiation. Detection and analysis of miRNA cargo of circulating exosomes in the central nervous system is an emerging method for non-invasive diagnosis and monitoring of neurological disorders. The  study  investigates the effects of exosomes mediated genetic response in the glial cells of the nervous system in response to radiation. Radiation induced deferentially expressed exosomal microRNAs will be identified using small RNA sequencing analysis.

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