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The prospects of single-cell analysis in autoimmunity.

André SulenShahinul IslamAnette S B WolffBergithe Eikeland Oftedal
Published in: Scandinavian journal of immunology (2020)
In the last decade, there has been a tremendous development of technologies focused on analysing various molecular attributes in single cells, with an ever-increasing number of parameters becoming available at the DNA, RNA and protein levels. Much of this progress has involved cells in suspension, but also in situ analysis of tissues has taken great leaps. Paralleling the development in the laboratory, and because of increasing complexity, the analysis of single-cell data is also constantly being updated with new algorithms and analysis platforms. Our immune system shares this complexity, and immunologists have therefore been in the forefront of this technological development. These technologies clearly open new avenues for immunology research, maybe particularly within autoimmunity where the interaction between the faulty immune system and the thymus or the target organ is important. However, the technologies currently available can seem overwhelming and daunting. The aim of this review is to remedy this by giving a balanced overview of the prospects of using single-cell analysis in basal and clinical autoimmunity research, with an emphasis on endocrine autoimmunity.
Keyphrases
  • single cell
  • induced apoptosis
  • high throughput
  • machine learning
  • gene expression
  • cell cycle arrest
  • single molecule
  • cell death
  • signaling pathway
  • oxidative stress
  • electronic health record
  • cell free
  • nucleic acid