Literature DB >> 32139547

Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies.

Nico Battich1, Joep Beumer2, Buys de Barbanson2, Lenno Krenning2, Chloé S Baron2, Marvin E Tanenbaum2, Hans Clevers2, Alexander van Oudenaarden1.   

Abstract

The regulation of messenger RNA levels in mammalian cells can be achieved by the modulation of synthesis and degradation rates. Metabolic RNA-labeling experiments in bulk have quantified these rates using relatively homogeneous cell populations. However, to determine these rates during complex dynamical processes, for instance during cellular differentiation, single-cell resolution is required. Therefore, we developed a method that simultaneously quantifies metabolically labeled and preexisting unlabeled transcripts in thousands of individual cells. We determined synthesis and degradation rates during the cell cycle and during differentiation of intestinal stem cells, revealing major regulatory strategies. These strategies have distinct consequences for controlling the dynamic range and precision of gene expression. These findings advance our understanding of how individual cells in heterogeneous populations shape their gene expression dynamics.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2020        PMID: 32139547     DOI: 10.1126/science.aax3072

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  22 in total

1.  Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance.

Authors:  Ruben Perez-Carrasco; Casper Beentjes; Ramon Grima
Journal:  J R Soc Interface       Date:  2020-07-08       Impact factor: 4.118

Review 2.  Tools and Concepts for Interrogating and Defining Cellular Identity.

Authors:  Kara L McKinley; David Castillo-Azofeifa; Ophir D Klein
Journal:  Cell Stem Cell       Date:  2020-05-07       Impact factor: 24.633

3.  Dynamics of transcriptional and post-transcriptional regulation.

Authors:  Mattia Furlan; Stefano de Pretis; Mattia Pelizzola
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

4.  CellRank for directed single-cell fate mapping.

Authors:  Marius Lange; Volker Bergen; Michal Klein; Manu Setty; Bernhard Reuter; Mostafa Bakhti; Heiko Lickert; Meshal Ansari; Janine Schniering; Herbert B Schiller; Dana Pe'er; Fabian J Theis
Journal:  Nat Methods       Date:  2022-01-13       Impact factor: 28.547

5.  BRIE2: computational identification of splicing phenotypes from single-cell transcriptomic experiments.

Authors:  Yuanhua Huang; Guido Sanguinetti
Journal:  Genome Biol       Date:  2021-08-27       Impact factor: 13.583

6.  Bioorthogonal chemistry-based RNA labeling technologies: evolution and current state.

Authors:  Jerrin Thomas George; Seergazhi G Srivatsan
Journal:  Chem Commun (Camb)       Date:  2020-10-07       Impact factor: 6.222

7.  Time-resolved single-cell sequencing identifies multiple waves of mRNA decay during the mitosis-to-G1 phase transition.

Authors:  Lenno Krenning; Stijn Sonneveld; Marvin Tanenbaum
Journal:  Elife       Date:  2022-02-01       Impact factor: 8.140

Review 8.  RNA velocity-current challenges and future perspectives.

Authors:  Volker Bergen; Ruslan A Soldatov; Peter V Kharchenko; Fabian J Theis
Journal:  Mol Syst Biol       Date:  2021-08       Impact factor: 11.429

9.  Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq.

Authors:  Qi Qiu; Peng Hu; Xiaojie Qiu; Kiya W Govek; Pablo G Cámara; Hao Wu
Journal:  Nat Methods       Date:  2020-08-31       Impact factor: 28.547

10.  Spatio-temporal mRNA tracking in the early zebrafish embryo.

Authors:  Karoline Holler; Anika Neuschulz; Philipp Drewe-Boß; Janita Mintcheva; Bastiaan Spanjaard; Roberto Arsiè; Uwe Ohler; Markus Landthaler; Jan Philipp Junker
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

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