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A deep profiler's guide to cytometry

期刊

TRENDS IN IMMUNOLOGY
卷 33, 期 7, 页码 323-332

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.it.2012.02.010

关键词

fluorescence; inductively coupled plasma mass spectrometry; single cell analysis; immunophenotyping; data analysis

资金

  1. Intramural Research Program of the NIAID, NIH
  2. Collaboration for AIDS Vaccine Discovery (CAVD), from the Bill and Melinda Gates Foundation [OPP1032325]
  3. Damon Runyon Cancer Research Foundation Fellowship [DRG-2017-09]
  4. Rachford and Carlota A. Harris Endowed Professorship
  5. European Commission [HEALTH.2010.1.2-1]
  6. Bill and Melinda Gates Foundation [GF12141-137101]
  7. [U19 AI057229]
  8. [P01 CA034233]
  9. [HHSN272200700038C]
  10. [1R01CA130826]
  11. [CIRM DR1-01477]
  12. [RB2-01592]
  13. [NCI RFA CA 09-011]
  14. [NHLBI-HV-10-05(2)]

向作者/读者索取更多资源

In recent years, advances in technology have provided us with tools to quantify the expression of multiple genes in individual cells. The ability to measure simultaneously multiple genes in the same cell is necessary to resolve the great diversity of cell subsets, as well as to define their function in the host. Fluorescence-based flow cytometry is the benchmark for this; with it, we can quantify 18 proteins per cell, at >10 000 cells/s. Mass cytometry is a new technology that promises to extend these capabilities significantly. Immunophenotyping by mass spectrometry provides the ability to measure >36 proteins at a rate of 1000 cells/s. We review these cytometric technologies, capable of high-content, high-throughput single-cell assays.

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