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

Zitieren Sie bitte immer diese 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.zeige mehrzeige weniger

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Autor(en): Reyna Edith Rosales-Alvarez, Jasmin Rettkowski, Josip Stefan Herman, Gabrijela Dumbović, Nina Cabezas-Wallscheid, Dominic Grün
URN:urn:nbn:de:bvb:20-opus-358042
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Institut für Systemimmunologie
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Genome Biology
Erscheinungsjahr:2023
Band / Jahrgang:24
Aufsatznummer:148
Originalveröffentlichung / Quelle:Genome Biology (2023) 24:148. https://doi.org/10.1186/s13059-023-02974-1
DOI:https://doi.org/10.1186/s13059-023-02974-1
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):ageing; cell sate variability; gene expression noise; hematopoietic stem cells; machine learning; mathematical modeling; single-cell RNA sequencing; stem cell differentiation
Datum der Freischaltung:28.05.2024
EU-Projektnummer / Contract (GA) number:818846
EU-Projektnummer / Contract (GA) number:759206
OpenAIRE:OpenAIRE
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International