Nadal Ribelles, Mariona, 1984-Solé, CarmeNadal Clanchet, Eulàlia dePosas Garriga, Francesc2024-04-222024-04-222024Nadal-Ribelles M, Solé C, de Nadal E, Posas F. The rise of single-cell transcriptomics in yeast. Yeast. 2024 Apr;41(4):158-70. DOI: 10.1002/yea.39340749-503Xhttp://hdl.handle.net/10230/59872The field of single-cell omics has transformed our understanding of biological processes and is constantly advancing both experimentally and computationally. One of the most significant developments is the ability to measure the transcriptome of individual cells by single-cell RNA-seq (scRNA-seq), which was pioneered in higher eukaryotes. While yeast has served as a powerful model organism in which to test and develop transcriptomic technologies, the implementation of scRNA-seq has been significantly delayed in this organism, mainly because of technical constraints associated with its intrinsic characteristics, namely the presence of a cell wall, a small cell size and little amounts of RNA. In this review, we examine the current technologies for scRNA-seq in yeast and highlight their strengths and weaknesses. Additionally, we explore opportunities for developing novel technologies and the potential outcomes of implementing single-cell transcriptomics and extension to other modalities. Undoubtedly, scRNA-seq will be invaluable for both basic and applied yeast research, providing unique insights into fundamental biological processes.application/pdfeng© 2024 The Authors. Yeast published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.The rise of single-cell transcriptomics in yeastinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/yea.3934MethodsSingle‐cell transcriptomicsTranscriptionYeastinfo:eu-repo/semantics/openAccess