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Background <p>Cell state-specific gene expression programs emerge from the interplay between cis-regulatory elements (CREs), such as enhancers, and transcription factors (TFs). Massively parallel reporter assays (MPRAs) have enabled large-scale dissection of CRE function, but bulk approaches cannot resolve cell state specificity on continuous trajectories of cellular differentiation, and existing single-cell MPRAs are not readily applicable to primary cell differentiation models.</p> Results <p>Here, we develop a single-cell lentiviral Massively Parallel Reporter Assay (sc-lentiMPRA) that overcomes these limitations and enables parallel quantification of enhancer activity and cellular transcriptome. Applying sc-lentiMPRA in blood stem differentiation, we profile the activity and specificity of ~ 160 fully synthetic enhancers with controlled motif composition and affinities across ~ 190,000 single cells. Focusing on Trp53 and Cebpa, we show that enhancers with high and low affinity motifs differ qualitatively and quantitatively in their responses to TF expression gradients. For Trp53, low-affinity motifs exhibit near-linear correlation with TF expression, whereas high-affinity motifs show reduced sensitivity to TF levels. In contrast, Cebpa-associated enhancers display non-linear behaviors.</p> Conclusions <p>Together, sc-lentiMPRA establishes a powerful framework for systematically relating enhancer architecture and TF expression to regulatory output at single-cell resolution during cellular differentiation.</p>

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Lentiviral single-cell MPRA of synthetic enhancers reveals motif affinity-based encoding of cell state specificity

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月14日

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  • Julia Rühle,
  • Robert Frömel,
  • Aina Bernal Martinez,
  • Chelsea Szu-Tu,
  • Joseph Bowness,
  • Lars Velten

摘要

Background

Cell state-specific gene expression programs emerge from the interplay between cis-regulatory elements (CREs), such as enhancers, and transcription factors (TFs). Massively parallel reporter assays (MPRAs) have enabled large-scale dissection of CRE function, but bulk approaches cannot resolve cell state specificity on continuous trajectories of cellular differentiation, and existing single-cell MPRAs are not readily applicable to primary cell differentiation models.

Results

Here, we develop a single-cell lentiviral Massively Parallel Reporter Assay (sc-lentiMPRA) that overcomes these limitations and enables parallel quantification of enhancer activity and cellular transcriptome. Applying sc-lentiMPRA in blood stem differentiation, we profile the activity and specificity of ~ 160 fully synthetic enhancers with controlled motif composition and affinities across ~ 190,000 single cells. Focusing on Trp53 and Cebpa, we show that enhancers with high and low affinity motifs differ qualitatively and quantitatively in their responses to TF expression gradients. For Trp53, low-affinity motifs exhibit near-linear correlation with TF expression, whereas high-affinity motifs show reduced sensitivity to TF levels. In contrast, Cebpa-associated enhancers display non-linear behaviors.

Conclusions

Together, sc-lentiMPRA establishes a powerful framework for systematically relating enhancer architecture and TF expression to regulatory output at single-cell resolution during cellular differentiation.