Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2019 May;31(5):933-934.
doi: 10.1105/tpc.19.00247. Epub 2019 Apr 12.

The Future is Now: Gene Expression Dynamics at Single Cell Resolution

Rachel Shahan  1
Affiliations
Editorial

The Future is Now: Gene Expression Dynamics at Single Cell Resolution

Rachel Shahan. Plant Cell. 2019 May.
No abstract available

PubMed Disclaimer

Figures

None
Ordering Cells in Pseudotime Recapitulates Developmental Trajectories. Root hair cells profiled by scRNA-seq are ordered from youngest (stage 1; light colors) to oldest (13; dark colors). The youngest cells “anchor” the trajectory and indicate the beginning of developmental time. Unlike animals, Arabidopsis cells do not migrate and developmental stage corresponds with spatial location in the root. (Adapted from Jean-Baptiste, et al. [2019], Figure 4).
See this image and copyright information in PMC

Comment on

References

    1. Denyer T., Ma X., Klesen S., Scacchi E., Nieselt K., Timmermans M.C.P. (2019). Spatiotemporal developmental trajectories in the Arabidopsis root revealed using high-throughput single-cell RNA sequencing. Dev. Cell 48: 840–852.e5. - PubMed
    1. Jean-Baptiste K., McFaline-Figueroa J., Alexandre C.M., Dorrity M.W., Saunders L., Bubb K.L., Trapnell C., Fields S, Queitsch C., Cuperus J.T (2019). Dynamics of gene expression in single root cells of A. thaliana. Plant Cell 31: 993–1011. - PMC - PubMed
    1. Ryu K.H., Huang L., Kang H.M., Schiefelbein J. (2019). Single-cell RNA sequencing resolves molecular relationships among individual plant cells. Plant Physiol. 179: 1444–1456. - PMC - PubMed
    1. Shulse C.N., Cole B.J., Turco G.M., Zhu Y., Brady S.M., Dickel D.E. (2018). High-throughput single-cell transcriptome profiling of plant cell types. bioRxiv. - PMC - PubMed

LinkOut - more resources