Research Support Centre
Technology Platforms

Immunomonitoring by Singapore Immunology Network (SIgN)

The state-of-the-art Immunomonitoring (IM) platform hosted within the Singapore Immunology Network (SIgN) boasts an integrated suite of capabilities including:
  1. Flow Cytometry
  2. Multiplex Analysis of Proteins (MAP)
  3. Computational Immunology
With applications in immune profiling, biomarker discovery, target identification, vaccine assessment, patient treatment stratification and clinical trial monitoring, the SIgN IM platform has more than 130 successful partnerships and over 1,164 scientific publications since 2007 (as of 2019).


Key Services


(1) Flow Cytometry

Largest flow cytometry platform in South East Asia
  • ISO 9001:2015 certified
  • ASCP board-certified staff
  • Up to 14 analyzers & 8 sorters
  • Analysis of up to 28 colours




Flow Cytometry Analyzers and Sorters includes:

  • LSRII™ 5 Laser Flow Analyzer
  • Accuri™ C6 SORP Flow Analyzer
  • FACSCelesta™ 3 Laser Flow Analyzer
  • MACSQuant® Flow Analyzer
  • FACSAria™ II 5-Laser Flow Sorter
  • FACSMelody™ Flow Sorter
  • MoFlo™ XDP Flow Sorter
  • FACSymphony™ Flow Analyzer


(2) Multiplex Analysis of Proteins

High throughput, simultaneous analysis of up to 65 analytes (cytokines, chemokines, growth factors)
  • Multiple targets measurement by Luminex FLEXMAP 3D® analyzer
  • Ultra-sensitive measurements at fg/ml concentration
  • Up to 14 analyzers & 8 sorters
  • Metabolic profiling - Seahorse XF Analyzer




Multiplex Analysis of Proteins Analyzer includes:

Multiplex Analyzers

  • Multiplex Analyzer - Luminex® xMAP
  • Seahorse XF Multiplex Analyzer
  • CTL ImmunoSpot Analyzer

Singleplex Analyzers

  • Simoa® HD-1 Analyzer


(3) Computational Immunology

Experienced data integration of heterogeneous and diverse biological data

  • Interactive
  • Multi-modal
  • Reproducible




Bioinformatics Scope includes:

1. High-Performance Computing for Next Generation Sequencing (NGS) analysis

Data analysis of Next Generation Sequencing (NGS) data using in-house developed workflows utilizing best-of-breed computational methods. Quality control steps will be used to assess the data prior to analysis. Analysis of data to transform raw data into meaningful biological results.

2. Multi-modal analysis of biological data

Analysis of data from multiple heterogeneous sources to identify patterns and associations in the data.

3. Analysis for Single-cell RNAseq (scRNA-seq), Multiplex Immunohistochemistry & Mass/Flow Cytometry Data Analysis



10x Genomics Chromium instrument is also available to provide:

  • 10x Genomics gene expression profiling
  • 10x Genomics immune profiling (human/mouse)