Systems Biology and Data Science
Systems biology and data science involves the collection and processing of high-quality data from vast biological samples, using automated, robust, high-throughput and efficient procedures. The Systems Biology and Data Science core facility utilizes state-of-the-art technologies and data analytics to make the most of your samples.
- Define desired outcome
- Define experimental and analytical processes
- Experimental work
- Data analysis
- Review summary and determine conclusion
The consultation will discuss the scientific boundaries of your project, the desired outcomes and detail special considerations.
Based on the consultation we will submit a proposed plan for the sample collection, data collation and analysis as per your requirements. This will entail overall analysis goals and will provide an approximate timeline for conclusion.
Through consultation and analysis we will move forward towards generating summary reports, allowing for necessary adjustments to the project strategy. We value your collaboration to ensure project phases are aligned and will have meeting availability as phases progress.
Project data and results will be available throughout the process and we will provide a final summary in our outcome meeting.
Your outcome meeting may include:
- A summary of analysis in your preferred format
- Relevant data and results in an organised format with a guide to increase ease of access to pertinent information
- Consultation and collaboration with your project team to review results and chart your future progress
The Systems Biology and Data Science Shared Research Facility compared Nanostring immune gene expression of nasal lavage and whole blood samples in allergy sufferers and healthy individuals
2. Inflammatory responses to a pathogenic West Nile virus strain. ( Huang B, West N, Vider J, Zhang P, Griffiths RE, Wolvetang E, Burtonclay P, Warrilow D.BMC Infect Dis. 2019 Oct 29;19(1):912. doi: 10.1186/s12879-019-4471-8.PMID: 31664929 Free PMC article.)
3. Modulation of Monocyte-Driven Myositis in Alphavirus Infection Reveals a Role for CX3CR1+ Macrophages in Tissue Repair (Zaid A, Tharmarajah K, Mostafavi H, Freitas JR, Sheng KC, Foo SS, Chen W, Vider J, Liu X, West NP, Herrero LJ, Taylor A, Mackay LK, Getts DR, King NJC, Mahalingam S.mBio. 2020 Mar 3;11(2):e03353-19. doi: 10.1128/mBio.03353-19)
4. Key viral immune genes and pathways identify elite athletes with URS. (Colbey C, Drew MK, Cox AJ, Vider J, Pyne DB, Vlahonich N, Hughes D, Waddington G, Appaneal R, Burke LM, Lundy B, Toomey M, Watts D, Lovell G, Praet S, Halson SL, Welvaert M, Zhang P, Cripps AW, West NP.Exerc Immunol Rev. 2020;26:56-78.)
1. Comparison of skin biopsy sample processing and storage methods on high dimensional immune gene expression using the Nanostring nCounter system. (Vider J, Croaker A, Cox AJ, Raymond E, Rogers R, Adamson S, Doyle M, O'Brien B, Cripps AW, West NP.Diagn Pathol. 2020 May 15;15(1):57. doi: 10.1186/s13000-020-00974-4.)
1. A correlation-based network for biomarker discovery in obesity with metabolic syndrome. (Chen PY, Cripps AW, West NP, Cox AJ, Zhang P.BMC Bioinformatics. 2019 Dec 10;20(Suppl 6):477. doi: 10.1186/s12859-019-3064-2.)
The NanoString nCounter digital analysis system is highly multiplexed to enable rapid, precise, and cost-effective research. NanoString technology uses unique color-coded molecular barcodes that can hybridize directly to nucleic acid molecules, making it ideal for a range of discovery and translational research applications. The NanoString portfolio of application-specific solutions currently includes kits for gene expression, protein (including phosoproteins), copy number variation and miRNA analysis.
Our technology: BD Calibur Millipore Guava BD LSRII Fortessa BD AriaFusion - cell sorter; single cell sorting capability In Glycomics: Beckman coulter Cyan cytometer MoFlo cell sorter; single cell sorting capability Mass cytometry: Accelerate your immune cell phenotyping using mass cytometry. The MHIQ Systems Biology and Data Science Core collaborates with the Ramaciotti Centre of Systems Biology at Sydney University. Using inductively coupled plasma time-of-flight mass spectrometry (ICP-MS). Mass cytometry is revolutionizing the ability to analyse single cells in unprecedented depth and breadth with minimal sample sizes. More than 40 markers can be analysed simultaneously on a single cell. This allows the capture of a tremendous amount of data with a relative low number of cells.