Single Cell Facility
The MRC WIMM Single Cell Facility is an ultra-clean environment for the processing and amplification of single cells and small biological samples for sequencing, and other molecular analysis.
Detailed information on SOPs, protocols and pricing can be found in our intranet.
The Facility provides equipment, training, expertise and space to enable researchers to conduct their own genomic analysis at the single cell level without risk of contamination. We also offer a range of single cell assays and services for clients, including RNAseq and robotics.
Why single cell?
The tacit assumption that every cell in your sample behaves exactly the same way is a dangerous gamble; taking averages of pooled cells can mask the dramatic variations in gene expression among cells. Recognizing cellular variations in what appear to be homogenous populations has become crucial to advancing stem cell research, understanding cancer cells, identifying immune responses, studying the effectiveness of biological therapies, and discovering the mechanisms of neurodegenerative diseases.
Working closely with the MRC WIMM's Flow Cytometry and Sequencing Facilities, as well as the MRC WIMM Centre for Computational Biology, we can offer complete end to end genomic processing of single cell samples. For researches that want to do their own processing, we offer training and expertise in most single cell techniques, as well as the specialised equipment and lab-space required. We are part of the wider Oxford Single Cell Consortium.
How the facility works
The facility is managed day to day by the Facility Manager, under the scientific direction of Professor Adam Mead. New users are trained in use of the clean room by the facility manager and are then granted card access. The space and equipment can be booked via Agendo. Billing is based on group usage of the facility determined by Agendo bookings per quarter.
Unraveling intratumoral heterogeneity through high-sensitivity single-cell mutational analysis and parallel RNA sequencing.
Rodriguez-Meira A. et al, (2019), Molecular Cell, In Press.
Expression of the plasma cell transcriptional regulator Blimp-1 by dark zone germinal center B cells during periods of proliferation.
Radtke D. et al, (2019), Front Immunol, doi: 10.3389/fimmu.2018.03106
Structural remodeling of the human colonic mesenchyme in inflammatory bowel disease
Kinchen J. et al, (2018), Cell, 175(2):372-386.e17 doi:10.1016/j.cell.2018.08.067
Germinal center B cells replace their antigen receptors in dark zones and fail light zone entry when immunoglobulin gene mutations are damaging
Stewart I. et al, (2018), Immunity, 49(3):477-489.e7. doi: 10.1016/j.immuni.2018.08.025.
Invasive salmonella exploits divergent immune evasion strategies in infected and bystander dendritic cell subsets
Aulicino A. et al, (2018), Nat Commun, 9(1):4883. doi: 10.1038/s41467-018-07329-0.
Does osteogenic potential of clonal human bone marrow mesenchymal stem/stromal cells correlate with their vascular supportive ability?
Merryweather-Clarke A. et al, (2018), Stem Cell Res Ther, Dec 19;9(1):351. doi: 10.1186/s13287-018-1095-7.
From pioneer to repressor: Bimodal foxd3 activity dynamically remodels neural crest regulatory landscape in vivo
Lukoseviciute M. et al, (2018), Dev cell, 47(5):608-628.e6. doi: 10.1016/j.devcel.2018.11.009.
Ezh2 and Runx1 Mutations Collaborate to Initiate Lympho-Myeloid Leukemia in Early Thymic Progenitors
Booth C., Barkas N. et al (2018), Cancer Cell, 33(2):274-291.e8. doi: 10.1016/j.ccell.2018.01.006.
Hepcidin is regulated by promoter-associated histone acetylation and HDAC3
Pasricha et al, (2017), Nat Commun, 8, 403
Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia
Giustacchini A. et al, (2017), Nat Med, 6, 692
Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte-erythoid differentiation pathways
Psaila P. et al, (2016), Genome Biol, DOI 10.1186/s13059-016-0939-7
Distinct myeloid progenitor-differentiation pathways identified through single-cell RNA sequencing
Drissen R. et al, (2016), Nat Immunol, 17, 666