Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes

  • Kunal Jindal
  • , Mohd Tayyab Adil
  • , Naoto Yamaguchi
  • , Xue Yang
  • , Helen C. Wang
  • , Kenji Kamimoto
  • , Guillermo C. Rivera-Gonzalez
  • , Samantha A. Morris

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

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.

Original languageEnglish
Pages (from-to)946-959
Number of pages14
JournalNature Biotechnology
Volume42
Issue number6
DOIs
StatePublished - Jun 2024

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