Annual Scientific Report 2015

Future plans
The Teichmann group will move to the Wellcome Trust
Sanger Institute in 2016, where we will continue to
explore structural bioinformatics of protein complex
assembly and expand their work in genomics of
gene expression. By integrating scRNA-seq data,
epigenetic profiling, CRISPR/Cas9 screening and
high-throughput high-content imaging data, we seek
to gain a comprehensive overview of cellular circuitry
and decision-making in switching from one cell type
to another. We will pursue methods development in
single-cell bioinformatics approaches, as there are
many open questions that require new statistical and
computational techniques. Together with the Marioni
and Stegle groups at EMBL-EBI, we are keen to find new
ways to dissect technical from biological cell-to-cell
variation in gene expression, predict regulatory
relationships, gene expression modules and cell states
from the new flood of single cell RNA-sequencing data.
Sarah Teichmann
PhD 2000, University of Cambridge and MRC
Laboratory of Molecular Biology. Trinity College
Junior Research Fellow, 1999-2005. Beit Memorial
Fellow for Biomedical Research, University College
London, 2000-2001. MRC Laboratory of Molecular
Biology, 2001-12. Fellow and Director of Studies,
Trinity College, since 2005. Department of Physics/
Cavendish Laboratory, University of Cambridge,
2013-2016.
At EMBL-EBI and Sanger Institute, 2013-2016.
Selected publications
Ahnert SE, et al. (2015) Principles of assembly reveal a
periodic table of protein complexes. Science 350:aaa2245
Kolodziejczyk AA, K et al. (2015) Single cell
RNA-sequencing of pluripotent states unlocksmodular
transcriptional variation. Cell Stem Cell 17:471-485
Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC,
Teichmann SA (2015) The technology and biology of
single-cell RNA sequencing. Mol. Cell 58:610-620
Stubbington MJ, Lönnberg T, et al. (2016) T-cell fate and
clonality inference from single-cell transcriptomes. Nat.
Methods 13:329-332
Ilicic T, et al. (2016) Classification of low-quality cells
from single-cell RNA-seq data. Genome Biol. 17:29
The Periodic Table of Protein Complexes, published in Science, offers a new
way of looking at the enormous variety of structures that proteins can build
in nature, which ones might be discovered next, and predicting how entirely
novel structures could be engineered. Created by an interdisciplinary team
of researchers, the Table provides a valuable tool for research into evolution
and protein engineering.
2015 EMBL-EBI Annual Scientific Report 146