Abstract
Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of unsupervised clustering of the transcriptome. However, differences in experimental methods and computational analyses make it challenging to compare data across experiments. Here we present scmap (http://bioconductor.org/packages/scmap; web version at http://www.sanger.ac.uk/science/tools/scmap), a method for projecting cells from an scRNA-seq data set onto cell types or individual cells from other experiments.
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References
- 1.
Regev, A. et al. eLife 6, e27041 (2017).
- 2.
Altschul, S.F., Gish, W., Miller, W., Myers, E.W. & Lipman, D.J. J. Mol. Biol. 215, 403–410 (1990).
- 3.
Jégou, H., Douze, M. & Schmid, C. IEEE Trans. Pattern Anal. Mach. Intell. 33, 117–128 (2011).
- 4.
Andrews, T.S. & Hemberg, M. BioRxiv. Preprint at https://www.biorxiv.org/content/early/2017/05/25/065094 (2016).
- 5.
Brennecke, P. et al. Nat. Methods 10, 1093–1095 (2013).
- 6.
Cohen, J. Psychol. Bull. 70, 213–220 (1968).
- 7.
Picelli, S. et al. Nat. Protoc. 9, 171–181 (2014).
- 8.
Hashimshony, T. et al. Genome Biol. 17, 77 (2016).
- 9.
Klein, A.M. et al. Cell 161, 1187–1201 (2015).
- 10.
Wagner, A., Regev, A. & Yosef, N. Nat. Biotechnol. 34, 1145–1160 (2016).
- 11.
Trapnell, C. et al. Nat. Biotechnol. 32, 381–386 (2014).
- 12.
Jang, S. et al. elife 6, e20487 (2017).
- 13.
Treutlein, B. et al. Nature 534, 391–395 (2016).
- 14.
La Manno, G. et al. Cell 167, 566–580 (2016).
- 15.
Tung, P.-Y. Sci. Rep. 7, 39921 (2017).
- 16.
Camp, J.G. et al. Nature 546, 533–538 (2017).
- 17.
Crow, M., Paul, A., Ballouz, S., Huang, Z.J. & Gillis, J. Nat. Commun. 9, 884 (2018).
- 18.
Baron, M. et al. Cell Syst. 3, 346–360 (2016).
- 19.
Xin, Y. et al. Cell Metab. 24, 608–615 (2016).
- 20.
Segerstolpe, Å. et al. Cell Metab. 24, 593–607 (2016).
- 21.
McCarthy, D.J., Campbell, K.R., Lun, A.T.L. & Wills, Q.F. Bioinformatics 33, 1179–1186 (2017).
- 22.
Butler, A. & Satija, R. BioRxiv. Preprint at https://www.biorxiv.org/content/early/2017/07/18/164889 (2017).
- 23.
Haghverdi, L., Lun, A.T.L., Morgan, M.D. & Marioni, J.C. bioRxiv Preprint at https://www.biorxiv.org/content/early/2017/07/18/165118 (2017).
- 24.
Shekhar, K. et al. Cell 166, 1308–1323 (2016).
- 25.
Macosko, E.Z. et al. Cell 161, 1202–1214 (2015).
- 26.
Muraro, M.J. et al. Cell Syst. 3, 385–394 (2016).
- 27.
Deng, Q., Ramsköld, D., Reinius, B. & Sandberg, R. Science 343, 193–196 (2014).
- 28.
Yan, L. et al. Nat. Struct. Mol. Biol. 20, 1131–1139 (2013).
- 29.
Ben-Hur, A., Horn, D., Siegelmann, H.T. & Vapnik, V. J. Mach. Learn. Res. 2, 125–137 (2001).
- 30.
Breiman, L. Mach. Learn. 45, 5–32 (2001).
Acknowledgements
We thank T. Andrews, K.N. Natarajan, G. Parada, M. Schaub, M. Stubbington, V. Svensson, J. Westoby and F. Wünnermann for helpful discussions, feedback on the manuscript and testing of the cloud implementation of scmap. Amazon Web Services (AWS) Cloud provided credits for running the scmap server for 1 year. V.Y.K., A.Y. and M.H. were supported by core funding to the Wellcome Sanger Institute provided by the Wellcome Trust.
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Affiliations
Wellcome Sanger Institute, Hinxton, UK.
- Vladimir Yu Kiselev
- , Andrew Yiu
- & Martin Hemberg
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Contributions
M.H. conceived the study and supervised the research; V.Y.K., A.Y. and M.H. contributed to the computational framework; V.Y.K. and M.H. wrote the manuscript.
Competing interests
The authors declare no competing financial interests.
Corresponding author
Correspondence to Martin Hemberg.
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Supplementary Text and Figures
Supplementary Figures 1–4, Supplementary Tables 1–3 and Supplementary Notes 1–2
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Supplementary Software
scmap software
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