Antolović, V;
Chubb, JR;
(2024)
Single Cell Transcriptome Analysis During Development in Dictyostelium.
Dictyostelium discoideum. Methods in Molecular Biology
, 2814
pp. 223-245.
10.1007/978-1-0716-3894-1_16.
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Abstract
Dictyostelium represents a stripped-down model for understanding how cells make decisions during development. The complete life cycle takes around a day and the fully differentiated structure is composed of only two major cell types. With this apparent reduction in “complexity,” single cell transcriptomics has proven to be a valuable tool in defining the features of developmental transitions and cell fate separation events, even providing causal information on how mechanisms of gene expression can feed into cell decision-making. These scientific outputs have been strongly facilitated by the ease of non-disruptive single cell isolation—allowing access to more physiological measures of transcript levels. In addition, the limited number of cell states during development allows the use of more straightforward analysis tools for handling the ensuing large datasets, which provides enhanced confidence in inferences made from the data. In this chapter, we will outline the approaches we have used for handling Dictyostelium single cell transcriptomic data, illustrating how these approaches have contributed to our understanding of cell decision-making during development.
Type: | Article |
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Title: | Single Cell Transcriptome Analysis During Development in Dictyostelium |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-1-0716-3894-1_16 |
Publisher version: | https://doi.org/10.1007/978-1-0716-3894-1_16 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Big data, Bioinformatics, Development, RNA sequencing, Single cell transcriptomics, Stochastic gene expression, Transcription bursting, Dictyostelium, Single-Cell Analysis, Gene Expression Profiling, Transcriptome, Gene Expression Regulation, Developmental, Single-Cell Gene Expression Analysis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Lab for Molecular Cell Bio MRC-UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10209751 |
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