Measurement of mast cell surface molecules by high-throughput immunophenotyping using transcription (HIT)

D James Haddon1, Justin A Jarrell, Michael R Hughes

  • 1Division of Immunology and Rheumatology, Stanford University School of Medicine, CCSR Building, Room 2215A, Mail Code 5166, 269 Campus Drive, Stanford, CA, 94305, USA.

Insights

A new assay, High-Throughput Immunophenotyping using Transcription (HIT), analyzes numerous mast cell proteins simultaneously. This method effectively measures changes in protein levels during cell stimulation.

Area of Science:

  • Immunology
  • Proteomics
  • Cell Biology

Background:

  • Mast cells play crucial roles in allergic responses and immunity.
  • Characterizing mast cell surface antigens and intracellular molecules is vital for understanding their function.
  • Existing proteomic assays may have limitations in throughput and scope.

Purpose of the Study:

  • To introduce and validate a highly multiplexed proteomic assay, High-Throughput Immunophenotyping using Transcription (HIT).
  • To apply HIT for comprehensive analysis of human mast cell surface antigens and intracellular proteins at rest and upon stimulation.

Main Methods:

  • HIT assay involves conjugating barcoded oligonucleotides to Fab fragments of primary antibodies.
  • A cocktail of up to 48 barcoded antibodies is used to stain mast cells.
  • Barcodes are amplified via in vitro transcription, and transcripts are quantified using microarrays.

Main Results:

  • The HIT assay allows simultaneous analysis of up to 100 analytes, including surface antigens and intracellular phosphoproteins.
  • Quantified transcript levels correlate well with actual protein levels.
  • HIT successfully detected stimulation-dependent changes in mast cell protein expression.

Conclusions:

  • HIT is a powerful, broad-spectrum tool for characterizing mast cell surface antigens, signaling molecules, transcription factors, and cytokines.
  • This assay enables high-throughput analysis of complex cellular states.
  • HIT offers a valuable approach for immunological research and drug discovery.