10 selected publications:

• Revealing dynamics of gene expression variability in cell state space.
  Grün D.
  Nat Methods. 2019 Nov 18. [Epub ahead of print]
• Mapping microglia states in the human brain through the integration of high-dimensional techniques.
  Sankowski R, Böttcher C, Masuda T, Geirsdottir L, Sagar, Sindram E, Seredenina T, Muhs A, Scheiwe C, Shah MJ, Heiland DH, Schnell O, Grün D#, Priller J#, Prinz M# (2019).
  Nat Neurosci. 22(12):2098-2110. #shared corresponding authors
• A human liver cell atlas reveals heterogeneity and epithelial progenitors.
  Aizarani N, Saviano A, Sagar, Mailly L, Durand S, Herman JS, Pessaux P, Baumert TF, Grün D (2019).
  Nature. 572(7768):199-204
• Revealing routes of cellular differentiation by single-cell RNA-seq.
  Grün D (2018)
  Curr Opin Sys Biol. 11: 9-17
• FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data.
  Herman JS, Sagar, Grün D (2018).
  Nature methods, 15(5): 379-386
• High-Throughput Single-Cell RNA Sequencing and Data Analysis.
  Sagar, Herman JS, Pospisilik JA, Grün D (2018)
  Methods Mol Biol. 1766: 257-283
• De novo prediction of stem cell identity using single-cell transcriptome data.
  Grün D#, Muraro MJ, Boisset JC, Wiebrands K, Lyubimova A, Dharmadhikari G, van den Born M, van Es J, Jansen E, Clevers H, de Koning Eelco JP, van Oudenaarden A# (2016).
  Cell Stem Cell 19(2): 266-277. #shared corresponding authors
• Design and analysis of single cell sequencing experiments.
  Grün D and van Oudenaarden A. (2015)
  Cell 163(4): 799-810
• Single-cell mRNA sequencing reveals rare intestinal cell types.
  Grün D*, Lyubimova A, Kester L, Wiebrands K, Basak O, Sasaki N, Clevers H, van Oudenaarden A. (2015)
  Nature 525: 251-255. *shared first authors
• Validation of noise models for single-cell transcriptomics enables genome-wide quantification of stochastic gene expression.
  Grün D*, Kester L*, van Oudenaarden A. (2014)
  Nature Methods 11(6): 637-40. *shared first authors