St Vincent's Institute Technologies Platform
- St Vincent's Institute of Medical Research
- Metabolomics • Proteomics • Single Cell • Transcriptomics
Overview
- Cancer
- Type 1 diabetes
- Type 2 diabetes and obesity
- Heart disease
- Bone diseases, including osteoporosis
- Alzheimer's disease
Our in-house tools include:
- Flow Cytometry (analysers + sorters)
- 3 × LC-MS for intact protein, proteomics & metabolomics analysis
- 10x Genomics Chromium controller
Capabilities
Proteomics
Protein Identification Qualitative & quantitative proteome analysis Molecular weight analysis of purified protein samples
Metabolomics
Untargeted metabolomics Nucleotides & Co-enzyme A (CoA) derivatives analysis
Transcriptomics
Construction of long-read (PacBio) Short-read (Illumina) and single cell RNA sequencing libraries by several labs, especially the Genomics & Immunology laboratory
Single-cell omics
10x Genomics Chromium controller
Compounds
Quanlitative analysis by high-resolution mass spectrometry Drug purity check C18 fractionation on semi-preparative HPLC
Bioinformatics and Data Analysis
Bioinformatics capabilities located in within the following research groups: 1. Bioinformatics & Cellular Genomics, 2. Genomics & Immunology, and 3. Cancer & RNA Biology.
Equipment
10x Genomics Chromium controller
Numerous qPCR instruments, including ABI Quantstudio, Lightcycler, etc
Thermo Ultimate 3000 LC coupled with Orbitrap Fusion Lumos Agilent 1260 HPLC coupled with Sciex 5600 QTOF: untargeted metabolomics Shimadzu LC-30AD UHPLC with Sciex 5500 QTRAP: nucleotides and CoA derivatives analysis Compound Discoverer Software
Thermo Ultimate 3000 nanoLC coupled with Orbitrap Fusion Lumos (with EasyIC and ETD): discovery preoteomics & quantitative proteomics Agilent 1260 HPLC coupled with Sciex 5600 QTOF: discovery proteomics and molecular weight analysis of recombinant protein Software: Proteome Discoverer offers multiple integrated tools for statistical and biological interpretation to quickly turn data into insights. Maxquant is a quantitative proteomics software package designed for analyzing large mass-spectrometric data sets. Skyline provides state of the art modeling, analytics, and visualization software to produce highly accurate and visually stunning 2D and 3D products.
Access Information
External researchers can book and pay for the use of the facility equipment by first contacting the facility manager.
Contacts
Dingyi Yu
Mass Spec Facility Manager
dyu@svi.edu.au
Anthony DiCarluccio
Cytometry Manager (including 10x)
adicarluccio@svi.edu.au