Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations-Reference-Cited by-同舟云学术

Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations

Published:2019-02-04 Issue:4 Volume:4 Page:683-692
ISSN:2058-5276
Container-title:Nature Microbiology
language:en
Short-container-title:Nat Microbiol

Author:

Nadal-Ribelles Mariona^ORCID,Islam Saiful,Wei Wu^ORCID,Latorre Pablo^ORCID,Nguyen Michelle,de Nadal Eulàlia^ORCID,Posas Francesc,Steinmetz Lars M.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Microbiology (medical),Genetics,Applied Microbiology and Biotechnology,Immunology,Microbiology

Link

http://www.nature.com/articles/s41564-018-0346-9.pdf

Reference39 articles.

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2. Tang, F. et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat. Methods 6, 377–382 (2009).

3. Miura, F. et al. Absolute quantification of the budding yeast transcriptome by means of competitive PCR between genomic and complementary DNAs. BMC Genomics 9, 574 (2008).

4. Gasch, A. P. et al. Single-cell RNA sequencing reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress. PLoS Biol. 15, e2004050 (2017).

5. Saint, M., Bertaux, F., Tang, W., Sun, X.-M. & Game, L. Single-cell phenotyping and RNA sequencing reveal novel patterns of gene expression heterogeneity and regulation during growth and stress adaptation in a unicellular eukaryote. Preprint at bioRxiv https://doi.org/10.1101/306795 (2018).

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