Your browser doesn't support javascript.
loading
Single Cell Transcriptome Analysis During Development in Dictyostelium.
Antolovic, Vlatka; Chubb, Jonathan R.
Afiliação
  • Antolovic V; UCL Laboratory for Molecular Cell Biology, University College London, London, UK. v.antolovic@ucl.ac.uk.
  • Chubb JR; UCL Laboratory for Molecular Cell Biology, University College London, London, UK.
Methods Mol Biol ; 2814: 223-245, 2024.
Article em En | MEDLINE | ID: mdl-38954209
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Dictyostelium / Análise de Célula Única / Transcriptoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Dictyostelium / Análise de Célula Única / Transcriptoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article