Evidence map›Paper›PMID 42449439›Full record

ArticleGenome biology2026

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

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

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia RühleComputational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0002-1479-3633
Robert Frömel *Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0002-0438-8677
Aina Bernal Martinez *Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0002-6754-5668
Chelsea Szu-TuComputational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0001-9990-4883
Joseph BownessComputational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0001-5018-7211
Lars VeltenComputational Biology and Health Genomics, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain. lars.velten@crg.eu.ORCID https://orcid.org/0000-0002-1233-5874

Funding

Agencia Estatal de Investigación PID2019-108082GA-I00Agencia Estatal de Investigación PRE2021-097675European Research Council 101041399
6 · The paper itself

Abstract

backgroundCell 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.

resultsHere, 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.

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

Indexed as

Enhancer Elements, GeneticLentivirusSingle-Cell AnalysisCell DifferentiationGenes, ReporterHumansNucleotide MotifsTranscription FactorsTranscription FactorsEnhancersGene regulationHematopoiesisMassively parallel reporter assaysSingle-cell genomics

Identifiers

PMID42449439
PMCPMC13647567

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.