ArticleCell genomics2023
Genomic characterization and therapeutic utilization of IL-13-responsive sequences in asthma.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
The trial behind it
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Post-genome-wide association study variant-to-function challenges in asthma research.The Journal of allergy and clinical immunology · 2026Review
- Airway epithelial heterogeneity and mucus plugging in asthmatic bronchioles.American journal of respiratory and critical care medicine · 2026Article
- Stack: In-Context Learning of Single-Cell Biology.bioRxiv : the preprint server for biology · 2026Article
- Mechanically induced dysregulation of calcium homeostasis: a molecular linchpin in asthmatic pathogenesis.European journal of medical research · 2025Review
- Reduced aldehyde dehydrogenase 2 in respiratory tract associates with dysregulated alcohol metabolism and respiratory reactions in aspirin-exacerbated respiratory disease.The Journal of allergy and clinical immunology · 2025Article
- Unmasking Pediatric Asthma: Epigenetic Fingerprints and Markers of Respiratory Infections.International journal of molecular sciences · 2025Review
- MTOR signaling regulates the development of airway mucous cell metaplasia associated with severe asthma.JCI insight · 2025Article
- Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025Review
- Mucins and Their Roles in Asthma.Immunological reviews · 2025Review
- Article
- Rhinovirus infection of airway epithelial cells uncovers the non-ciliated subset as a likely driver of genetic risk to childhood-onset asthma.Cell genomics · 2024Article
- Advances in computational and experimental approaches for deciphering transcriptional regulatory networks: Understanding the roles of cis-regulatory elements is essential, and recent research utilizing MPRAs, STARR-seq, CRISPR-Cas9, and machine learning has yielded valuable insights.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024Review
- Optimizing sequence design strategies for perturbation MPRAs: a computational evaluation framework.Nucleic acids research · 2024Article
- Alterations in gut microbiota and host transcriptome of patients with coronary artery disease.BMC microbiology · 2023Article
- Best practices for perturbation MPRA-a computational evaluation framework of sequence design strategies.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
Epithelial responses to the cytokine interleukin-13 (IL-13) cause airway obstruction in asthma. Here we utilized multiple genomic techniques to identify IL-13-responsive regulatory elements in bronchial epithelial cells and used these data to develop a CRISPR interference (CRISPRi)-based therapeutic approach to downregulate airway obstruction-inducing genes in a cell type- and IL-13-specific manner. Using single-cell RNA sequencing (scRNA-seq) and acetylated lysine 27 on histone 3 (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) in primary human bronchial epithelial cells, we identified IL-13-responsive genes and regulatory elements. These sequences were functionally validated and optimized via massively parallel reporter assays (MPRAs) for IL-13-inducible activity. The top secretory cell-selective sequence from the MPRA, a novel, distal enhancer of the sterile alpha motif pointed domain containing E-26 transformation-specific transcription factor (
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Registered trials
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.