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VarID2 quantifies gene expression noise dynamics and unveils functional heterogeneity of ageing hematopoietic stem cells

Please always quote using this URN: urn:nbn:de:bvb:20-opus-358042
  • Variability of gene expression due to stochasticity of transcription or variation of extrinsic signals, termed biological noise, is a potential driving force of cellular differentiation. Utilizing single-cell RNA-sequencing, we develop VarID2 for the quantification of biological noise at single-cell resolution. VarID2 reveals enhanced nuclear versus cytoplasmic noise, and distinct regulatory modes stratified by correlation between noise, expression, and chromatin accessibility. Noise levels are minimal in murine hematopoietic stem cells (HSCs)Variability of gene expression due to stochasticity of transcription or variation of extrinsic signals, termed biological noise, is a potential driving force of cellular differentiation. Utilizing single-cell RNA-sequencing, we develop VarID2 for the quantification of biological noise at single-cell resolution. VarID2 reveals enhanced nuclear versus cytoplasmic noise, and distinct regulatory modes stratified by correlation between noise, expression, and chromatin accessibility. Noise levels are minimal in murine hematopoietic stem cells (HSCs) and increase during differentiation and ageing. Differential noise identifies myeloid-biased Dlk1+ long-term HSCs in aged mice with enhanced quiescence and self-renewal capacity. VarID2 reveals noise dynamics invisible to conventional single-cell transcriptome analysis.show moreshow less

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Metadaten
Author: Reyna Edith Rosales-Alvarez, Jasmin Rettkowski, Josip Stefan Herman, Gabrijela Dumbović, Nina Cabezas-Wallscheid, Dominic Grün
URN:urn:nbn:de:bvb:20-opus-358042
Document Type:Journal article
Faculties:Medizinische Fakultät / Institut für Systemimmunologie
Language:English
Parent Title (English):Genome Biology
Year of Completion:2023
Volume:24
Article Number:148
Source:Genome Biology (2023) 24:148. https://doi.org/10.1186/s13059-023-02974-1
DOI:https://doi.org/10.1186/s13059-023-02974-1
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:ageing; cell sate variability; gene expression noise; hematopoietic stem cells; machine learning; mathematical modeling; single-cell RNA sequencing; stem cell differentiation
Release Date:2024/05/28
EU-Project number / Contract (GA) number:818846
EU-Project number / Contract (GA) number:759206
OpenAIRE:OpenAIRE
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International