Research Supervisor Connect

Establishing an RNA Sequencing and Bioinformatics Framework for Analysing Gene Expression in Organ-on-a-Chip Models

Summary

Supervisor

Dr Lining (Arnold) Ju.

Research location

Biomedical Engineering

Synopsis

The use of human organ-on-a-chip systems in biomedical and clinical research has surged due to the increasing need for models that accurately represent human diseases. Traditional preclinical models often fail to predict human physiological responses, underscoring the significance of organ-on-a-chip technology. In our laboratory, we leverage organ-on-a-chip models in tandem with 'vascular mechanobiology' to investigate the mechanobiological changes associated with cardiovascular diseases. However, our understanding of how genetic materials influence these mechanobiological alterations in organ-on-a-chip models remains limited. To address this pressing need, we are establishing a comprehensive framework for RNA isolation, RNA sequencing and bioinformatic analysis from organ-on-a-chip models. We conjoin the realms of microfluidic system, Genetics and programming/Bioinformatics to identify unique gene targets. This innovative approach holds the potential to lay the groundwork for the identification of novel biomarkers for cardiovascular disease detection, as well as the creation of innovative therapeutic strategies such as drug screening and personalised medicine. These strategies would be based on gene expression profiles sourced from organ-on-a-chip models, providing a promising outlook for future healthcare scenarios in cardiovascular diseases.

Additional information

Offering:

A PhD scholarship for 3.5 years at the RTP stipend rate (currently $40,109 in 2024). International applicants will have their tuition fees covered. 

Successful candidates must:

  • Have a Bachelors degree (1st class honours or equivalent) or a Masters degree
  • Have proficiency in basic molecular biology techniques, which includes but are not limited to, micro-volume pipetting and centrifugation.
  • Have familiarity with Unix-based scripts and R programming language would be advantageous
  • Have a strong interest in microfluidic system, organ-on-a-chip models, Genetics, and programming.

How to Apply:

To apply, please email arnold.ju@sydney.edu.au the following:

  • CV
  • transcripts

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 3458

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