Abstract
Transcriptional profiling is a powerful approach for studying mouse development, physiology and disease models. Here we describe a protocol for mouse thiouracil tagging (TU tagging), a transcriptome analysis technology that includes in vivo covalent labeling, purification and analysis of cell type–specific RNA. TU tagging enables the isolation of RNA from a given cell population of a complex tissue, avoiding transcriptional changes induced by cell isolation trauma, as well as the identification of actively transcribed RNAs and not preexisting transcripts. Therefore, in contrast to other cell-specific transcriptional profiling methods based on the purification of tagged ribosomes or nuclei, TU tagging provides a direct examination of transcriptional regulation. We describe how to (i) deliver 4-thiouracil to transgenic mice to thio-label cell lineage–specific transcripts, (ii) purify TU-tagged RNA and prepare libraries for Illumina sequencing and (iii) follow a straightforward bioinformatics workflow to identify cell type–enriched or differentially expressed genes. Tissue containing TU-tagged RNA can be obtained in 1 d, RNA-seq libraries can be generated within 2 d and, after sequencing, an initial bioinformatics analysis can be completed in 1 additional day.
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Acknowledgements
We thank the University of Oregon (UO) Genomics Core Facility for Illumina sequencing; V. Devasthali, U. Hostick and the UO Transgenic Mouse Facility for support generating the CA>GFPstop>HA-UPRT mice; P. Batzel for critical input on the bioinformatics workflow; and B. Simek for beta-testing the bioinformatics protocol. The use of the UO's applied computational instrument for scientific synthesis (ACISS) server was supported by a Major Research Instrumentation grant from the National Science Foundation (no. OCI-0960354). Funding was provided by The US National Institutes of Health (NIH) grant nos. NIH 5R00HL087598 (K.S.) and NIH 3R01DE013085 (Kaartinen, V.S.), and by the Howard Hughes Medical Institute (C.Q.D.).
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L.G., K.V.K., M.R.M., C.Q.D. and K.S. developed the protocol. L.G., K.V.K., C.Q.D. and K.S. prepared and wrote the manuscript.
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Supplementary information
Supplementary Table 1
Example counts table used in DESeq. The data is for a Type I experiment determining the Tie2:Cre-lineage transcriptome of P6 brains. Data is provided for two pairs of total and TU-tagged RNA samples. (TXT 415 kb)
Supplementary Table 2
Example of DESeq output showing the top 20 most Tie2:Cre-lineage enriched transcripts in P6 whole brain (expression level filtered). The nine enriched positive control endothelial transcripts (of thirteen used) are also shown. (PDF 59 kb)
Supplementary Table 3
Complete DESeq output from the example Type I experiment defining the P6 brain Tie2:Cre lineage transcriptome. (TXT 275 kb)
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Gay, L., Karfilis, K., Miller, M. et al. Applying thiouracil tagging to mouse transcriptome analysis. Nat Protoc 9, 410–420 (2014). https://doi.org/10.1038/nprot.2014.023
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DOI: https://doi.org/10.1038/nprot.2014.023
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