Dr Sarah Teichmann, FMedSci | Head of Cellular Genetics and Senior Group Leader

Teichmann, Sarah

Sarah Teichmann is interested in global principles of protein interactions and gene expression . In particular, her research now focuses on genomics and immunity. From 2016, Sarah is the Head of Cellular Genetics at the Wellcome Trust Sanger Institute.

Sarah did her PhD at the MRC Laboratory of Molecular Biology, Cambridge, UK and was a Beit Memorial Fellow at University College London. She started a group at the MRC Laboratory of Molecular Biology in 2001. In 2013, she moved to the Wellcome Genome Campus in Hinxton, Cambridge, where her group was joint between the EMBL-European Bioinformatics Institute and the WT Sanger Institute. Sarah is an EMBO member and fellow of the Academy of Medical Sciences, and her work has been recognized by a number of prizes, including the Lister Prize, Biochemical Society Colworth Medal, Royal Society Crick Lecture and EMBO Gold Medal.

Publications

  • T cell fate and clonality inference from single-cell transcriptomes.

    Stubbington MJT, Lönnberg T, Proserpio V, Clare S, Speak AO et al.

    Nature methods 2016;13;4;329-332

  • Principles of assembly reveal a periodic table of protein complexes.

    Ahnert SE, Marsh JA, Hernández H, Robinson CV and Teichmann SA

    Science (New York, N.Y.) 2015;350;6266;aaa2245

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

    Kolodziejczyk AA, Kim JK, Tsang JC, Ilicic T, Henriksson J et al.

    Cell stem cell 2015;17;4;471-85

  • Circulating and Tissue-resident CD4+ T Cells With Reactivity to Intestinal Microbiota Are Abundant in Healthy Individuals and Function is Altered During Inflammation.

    Hegazy AN, West NR, Stubbington MJT, Wendt E, Suijker KIM et al.

    Gastroenterology 2017

  • Single cell transcriptomics of pluripotent stem cells: reprogramming and differentiation.

    Natarajan KN, Teichmann SA and Kolodziejczyk AA

    Current opinion in genetics & development 2017;46;66-76

  • Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression.

    Kar G, Kim JK, Kolodziejczyk AA, Natarajan KN, Torlai Triglia E et al.

    Nature communications 2017;8;1;36

  • Computational approaches for interpreting scRNA-seq data.

    Rostom R, Svensson V, Teichmann SA and Kar G

    FEBS letters 2017

  • Wounding induces dedifferentiation of epidermal Gata6(+) cells and acquisition of stem cell properties.

    Donati G, Rognoni E, Hiratsuka T, Liakath-Ali K, Hoste E et al.

    Nature cell biology 2017

  • Aging increases cell-to-cell transcriptional variability upon immune stimulation.

    Martinez-Jimenez CP, Eling N, Chen HC, Vallejos CA, Kolodziejczyk AA et al.

    Science (New York, N.Y.) 2017;355;6332;1433-1436

  • Are cells from a snowman realistic? Cryopreserved tissues as a source for single-cell RNA-sequencing experiments.

    Vieira Braga FA, Teichmann SA and Stubbington MJ

    Genome biology 2017;18;1;54

  • Power analysis of single-cell RNA-sequencing experiments.

    Svensson V, Natarajan KN, Ly LH, Miragaia RJ, Labalette C et al.

    Nature methods 2017

  • Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria.

    Lönnberg T, Svensson V, James KR, Fernandez-Ruiz D, Sebina I et al.

    Science immunology 2017;2;9

  • Intrinsic transcriptional heterogeneity in B cells controls early class switching to IgE.

    Wu YL, Stubbington MJ, Daly M, Teichmann SA and Rada C

    The Journal of experimental medicine 2017;214;1;183-196

  • Regulation, evolution and consequences of cotranslational protein complex assembly.

    Natan E, Wells JN, Teichmann SA and Marsh JA

    Current opinion in structural biology 2016;42;90-97

  • Single-cell analysis at the threshold.

    Chen X, Love JC, Navin NE, Pachter L, Stubbington MJ et al.

    Nature biotechnology 2016;34;11;1111-1118

  • Single-cell RNA-seq identifies a PD-1(hi) ILC progenitor and defines its development pathway.

    Yu Y, Tsang JC, Wang C, Clare S, Wang J et al.

    Nature 2016;539;7627;102-106

  • MERVL/Zscan4 Network Activation Results in Transient Genome-wide DNA Demethylation of mESCs.

    Eckersley-Maslin MA, Svensson V, Krueger C, Stubbs TM, Giehr P et al.

    Cell reports 2016;17;1;179-92

  • Data on publications, structural analyses, and queries used to build and utilize the AlloRep database.

    Sousa FL, Parente DJ, Hessman JA, Chazelle A, Teichmann SA and Swint-Kruse L

    Data in brief 2016;8;948-57

  • Genetics and immunity in the era of single cell genomics.

    Vieira Braga FA, Teichmann SA and Chen X

    Human molecular genetics 2016

  • T cell fate and clonality inference from single-cell transcriptomes.

    Stubbington MJT, Lönnberg T, Proserpio V, Clare S, Speak AO et al.

    Nature methods 2016;13;4;329-332

  • Voices of biotech.

    Amit I, Baker D, Barker R, Berger B, Bertozzi C et al.

    Nature biotechnology 2016;34;3;270-5

  • AlloRep: A Repository of Sequence, Structural and Mutagenesis Data for the LacI/GalR Transcription Regulators.

    Sousa FL, Parente DJ, Shis DL, Hessman JA, Chazelle A et al.

    Journal of molecular biology 2016;428;4;671-8

  • Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells.

    Macaulay IC, Svensson V, Labalette C, Ferreira L, Hamey F et al.

    Cell reports 2016;14;4;966-77

  • Principles of assembly reveal a periodic table of protein complexes.

    Ahnert SE, Marsh JA, Hernández H, Robinson CV and Teichmann SA

    Science (New York, N.Y.) 2015;350;6266;aaa2245

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

    Kolodziejczyk AA, Kim JK, Tsang JC, Ilicic T, Henriksson J et al.

    Cell stem cell 2015;17;4;471-85

  • 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 et al.

    Genome biology 2015;16;178

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

    Scialdone A, Natarajan KN, Saraiva LR, Proserpio V, Teichmann SA et al.

    Methods (San Diego, Calif.) 2015;85;54-61

  • Structural and evolutionary versatility in protein complexes with uneven stoichiometry.

    Marsh JA, Rees HA, Ahnert SE and Teichmann SA

    Nature communications 2015;6;6394

  • Computational and analytical challenges in single-cell transcriptomics.

    Stegle O, Teichmann SA and Marioni JC

    Nature reviews. Genetics 2015;16;3;133-45

  • 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 et al.

    Nature biotechnology 2015;33;2;155-60

  • Structure, dynamics, assembly, and evolution of protein complexes.

    Marsh JA and Teichmann SA

    Annual review of biochemistry 2015;84;551-75

  • 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 et al.

    Cell reports 2014;7;4;1130-42

  • Parallel dynamics and evolution: Protein conformational fluctuations and assembly reflect evolutionary changes in sequence and structure.

    Marsh JA and Teichmann SA

    BioEssays : news and reviews in molecular, cellular and developmental biology 2014;36;2;209-18

Teichmann, Sarah