Teichmann SA - Search Results

1

Accounting for technical noise in single-cell RNA-seq experiments.

Brennecke P, Anders S, Kim JK, Kołodziejczyk AA, Zhang X, Proserpio V, Baying B, Benes V, Teichmann SA, Marioni JC, Heisler MG. Brennecke P, et al. Among authors: teichmann sa. Nat Methods. 2013 Nov;10(11):1093-5. doi: 10.1038/nmeth.2645. Epub 2013 Sep 22. Nat Methods. 2013. PMID: 24056876

2

Evolution of protein structures and interactions from the perspective of residue contact networks.

Zhang X, Perica T, Teichmann SA. Zhang X, et al. Among authors: teichmann sa. Curr Opin Struct Biol. 2013 Dec;23(6):954-63. doi: 10.1016/j.sbi.2013.07.004. Epub 2013 Jul 25. Curr Opin Struct Biol. 2013. PMID: 23890840 Review.

3

Single-cell RNA sequencing reveals T helper cells synthesizing steroids de novo to contribute to immune homeostasis.

Mahata B, Zhang X, Kolodziejczyk AA, Proserpio V, Haim-Vilmovsky L, Taylor AE, Hebenstreit D, Dingler FA, Moignard V, Göttgens B, Arlt W, McKenzie AN, Teichmann SA. Mahata B, et al. Among authors: teichmann sa. Cell Rep. 2014 May 22;7(4):1130-42. doi: 10.1016/j.celrep.2014.04.011. Epub 2014 May 10. Cell Rep. 2014. PMID: 24813893 Free PMC article.

4

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, Teichmann SA, Marioni JC, Stegle O. Buettner F, et al. Among authors: teichmann sa. Nat Biotechnol. 2015 Feb;33(2):155-60. doi: 10.1038/nbt.3102. Epub 2015 Jan 19. Nat Biotechnol. 2015. PMID: 25599176

5

Computational and analytical challenges in single-cell transcriptomics.

Stegle O, Teichmann SA, Marioni JC. Stegle O, et al. Among authors: teichmann sa. Nat Rev Genet. 2015 Mar;16(3):133-45. doi: 10.1038/nrg3833. Epub 2015 Jan 28. Nat Rev Genet. 2015. PMID: 25628217 Review.

6

The technology and biology of single-cell RNA sequencing.

Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA. Kolodziejczyk AA, et al. Among authors: teichmann sa. Mol Cell. 2015 May 21;58(4):610-20. doi: 10.1016/j.molcel.2015.04.005. Mol Cell. 2015. PMID: 26000846 Free article. Review.

7

Computational assignment of cell-cycle stage from single-cell transcriptome data.

Scialdone A, Natarajan KN, Saraiva LR, Proserpio V, Teichmann SA, Stegle O, Marioni JC, Buettner F. Scialdone A, et al. Among authors: teichmann sa. Methods. 2015 Sep 1;85:54-61. doi: 10.1016/j.ymeth.2015.06.021. Epub 2015 Jul 2. Methods. 2015. PMID: 26142758 Free article.

8

Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells.

Tsang JC, Yu Y, Burke S, Buettner F, Wang C, Kolodziejczyk AA, Teichmann SA, Lu L, Liu P. Tsang JC, et al. Among authors: teichmann sa. Genome Biol. 2015 Sep 21;16:178. doi: 10.1186/s13059-015-0739-5. Genome Biol. 2015. PMID: 26387834 Free PMC article.

9

Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation.

Kolodziejczyk AA, Kim JK, Tsang JC, Ilicic T, Henriksson J, Natarajan KN, Tuck AC, Gao X, Bühler M, Liu P, Marioni JC, Teichmann SA. Kolodziejczyk AA, et al. Among authors: teichmann sa. Cell Stem Cell. 2015 Oct 1;17(4):471-85. doi: 10.1016/j.stem.2015.09.011. Cell Stem Cell. 2015. PMID: 26431182 Free PMC article.

10

Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.

Kim JK, Kolodziejczyk AA, Ilicic T, Teichmann SA, Marioni JC. Kim JK, et al. Among authors: teichmann sa. Nat Commun. 2015 Oct 22;6:8687. doi: 10.1038/ncomms9687. Nat Commun. 2015. PMID: 26489834 Free PMC article.

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