Developmental effects of Apnea of Prematurity

This project studies the underlying molecular and cellular mechanisms of apnea of prematurity at play during cerebellar development, using intermittent hypoxia in a mouse model.
Data Science
Software Engineering
Began Around

August 1, 2019


This work aims at shedding light on the mechanisms underlying cerebellar hypoxic injury. To this end, a transcriptomic study (by RT-qPCR) of genes involved in oxydative stress, cell differentiation, and migration was performed. We analyzed the expression of these genes in different developmental stages (P4, P8, P12, P21 and adults), and in different cell types, using laser capture microdissection to separate cerebellar layers. This project provides cues to better understand the cellular and molecular aspects of AoP-induced cerebellar injury.

Image illustrating the project

1 My role in this project

1) Developed tools to assist the project’s researchers in exploring their data. Among those tools, I coded and hosted a modular Shiny dashboard to assist in the data exploration process.

2) Handled the RT-qPCR & IHC data processing and analysis, as well as documenting & open-sourcing the resulting code.

3) Participated in writing the journal article summarizing the results of this project.

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