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Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes.
Jindal, Kunal; Adil, Mohd Tayyab; Yamaguchi, Naoto; Yang, Xue; Wang, Helen C; Kamimoto, Kenji; Rivera-Gonzalez, Guillermo C; Morris, Samantha A.
Afiliação
  • Jindal K; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA.
  • Adil MT; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Yamaguchi N; Center of Regenerative Medicine, Washington University School of Medicine, St. Louis, MO, USA.
  • Yang X; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA.
  • Wang HC; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Kamimoto K; Center of Regenerative Medicine, Washington University School of Medicine, St. Louis, MO, USA.
  • Rivera-Gonzalez GC; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA.
  • Morris SA; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Nat Biotechnol ; 2023 Sep 25.
Article em En | MEDLINE | ID: mdl-37749269
ABSTRACT
Complex gene regulatory mechanisms underlie differentiation and reprogramming. Contemporary single-cell lineage-tracing (scLT) methods use expressed, heritable DNA barcodes to combine cell lineage readout with single-cell transcriptomics. However, reliance on transcriptional profiling limits adaptation to other single-cell assays. With CellTag-multi, we present an approach that enables direct capture of heritable random barcodes expressed as polyadenylated transcripts, in both single-cell RNA sequencing and single-cell Assay for Transposase Accessible Chromatin using sequencing assays, allowing for independent clonal tracking of transcriptional and epigenomic cell states. We validate CellTag-multi to characterize progenitor cell lineage priming during mouse hematopoiesis. Additionally, in direct reprogramming of fibroblasts to endoderm progenitors, we identify core regulatory programs underlying on-target and off-target fates. Furthermore, we reveal the transcription factor Zfp281 as a regulator of reprogramming outcome, biasing cells toward an off-target mesenchymal fate. Our results establish CellTag-multi as a lineage-tracing method compatible with multiple single-cell modalities and demonstrate its utility in revealing fate-specifying gene regulatory changes across diverse paradigms of differentiation and reprogramming.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article