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CHATTERJEE, S.

Publications and source records attributed to CHATTERJEE, S..

2 recordsLinked to original sources

Design and fabrication of flexible biodegradable microelectrode array for recording electrocorticography signals

Conventional flexible implantable microelectrode arrays, used for real-time brain activity monitoring, incur minimal tissue damage due to their flexibility; however, these require retrieval surgery, causing trauma to subjects. Implants, fabricated using biodegradable materials, dissolve gradually in body fluid, eliminating the necessity for retrieval surgery. This work reports designing and developing a 10-channel flexible biodegradable microelectrode array to acquire electrocorticography signals from rats brains. The array was fabricated using tungsten, a transient metal, and PLLA:PCL (80:20), a biodegradable composite polymer. The subdural implantation of the array on the somatosensory cortex of rats (n=3) facilitated electrical biopotentials acquisition using OpenBCI Cyton Boards. The baseline activities, the induced epileptic discharges after peripheral electrical stimulation, and the recovered baseline activities after antiepileptic drug administration were recorded from sedated rats. The chronic baselines and evoked activities were also acquired from awake rats. The gradual decline of chronic baselines was evident, suggesting a possible dissolution of electrodes. Furthermore, the time-frequency analyses demonstrate the differences between baselines and induced epileptic activities. The signals recorded from microelectrode arrays demonstrate their potential to monitor brain activities in a chronic study. Histology of the harvested vital organs from the euthanized rats confirmed minimal tissue damage due to implantation.

bioengineering↗

Targeting metabolic fluxes reverts metastatic transitions in ovarian cancer

Spheroids formation during epithelial ovarian cancer progression correlates with peritoneal organ colonization, disease recurrence, and poor prognosis. Although cancer progression has been demonstrated to be associated with and driven by metabolic changes within transformed cells, possible associations between metabolic dynamics and metastatic morphological transitions remain unexplored. To address this problem, we performed quantitative proteomics to identify protein signatures associated with three distinct morphologies (2D monolayers and two geometrically individual three-dimensional spheroidal states) of the high-grade serous ovarian cancer line OVCAR-3. Integrating the protein states onto genome-scale metabolic models allowed us to construct context-specific metabolic models for each morphological stage of the OVCAR-3 cell line and systematically evaluate their metabolic functionalities. We obtained disease-driving metabolic reaction modules using these models and elucidated gene knockout strategies to reduce metabolic alterations associated with disease progression. We explored the DrugBank database to mine pharmacological agents and evaluated the effect of drugs in impairing cancer progression. Finally, we experimentally validated our predictions by confirming the ability of one of our predicted drugs: the neuraminidase inhibitor oseltamivir, to disrupt the metastatic spheroidal morphologies without any cytotoxic effect on untransformed stromal mesothelial monolayers.

systems biology↗