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Computational biology

How to catch rare cell types

Nature volume 525, pages 197–198 (2015)Cite this article

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The development of an algorithm called RaceID enables the identification of rare cell types by single-cell RNA sequencing, even when they are part of a complex mixture of similar cells. See Letter p.251

How many cell types are there in the human body? Thanks to progress in single-cell sequencing technologies, scientists are now addressing this question in a systematic and non-biased way. On page 251 of this issue, Grün et al.1 take this research forward another step, describing an algorithm called RaceID that can identify rare cell types in a complex mixture of cells.

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Figure 1: Race to identify rare cells.

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References

  1. Grün, D. et al. Nature 525, 251–255 (2015).

    Article  ADS  Google Scholar 

  2. Tang F., Lao, K. & Surani, M. A. Nature Methods 8, S6–S11 (2011).

    Article  CAS  Google Scholar 

  3. Eberwine, J., Sul, J. Y., Bartfai, T. & Kim, J. Nature Methods 11, 25–27 (2014).

    Article  CAS  Google Scholar 

  4. Treutlein, B. et al. Nature 509, 371–375 (2014).

    Article  ADS  CAS  Google Scholar 

  5. Klein, A. M. et al. Cell 161, 1187–1201 (2015).

    Article  CAS  Google Scholar 

  6. Macosko, E. Z. et al. Cell 161, 1202–1214 (2015).

    Article  CAS  Google Scholar 

  7. Stegle, O., Teichmann, S. A. & Marioni, J. C. Nature Rev. Genet. 16, 133–145 (2015).

    Article  CAS  Google Scholar 

  8. Clevers, H. Cell 154, 274–284 (2013).

    Article  CAS  Google Scholar 

  9. May, C. L. & Kaestner K. H. Mol. Cell. Endocrinol. 323, 70–75 (2010).

    Article  CAS  Google Scholar 

  10. Jaitin, D. A. et al. Science 343, 776–779 (2014).

    Article  ADS  CAS  Google Scholar 

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Authors and Affiliations

  1. Lu Wen and Fuchou Tang are at the Biodynamic Optical Imaging Center, School of Life Sciences, Peking University, Beijing 100871, China.,

    Lu Wen & Fuchou Tang

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  1. Lu Wen
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  2. Fuchou Tang
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Correspondence to Lu Wen or Fuchou Tang.

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Wen, L., Tang, F. How to catch rare cell types. Nature 525, 197–198 (2015). https://doi.org/10.1038/nature15204

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