Evidence map›Paper›PMID 31596609›Full record

ArticleAmerican journal of respiratory cell and molecular biology2020

Efficient RNP-directed Human Gene Targeting Reveals SPDEF Is Required for IL-13-induced Mucostasis.

Kyung Duk Koh, Sana Siddiqui, Dan Cheng, Luke R Bonser, Dingyuan I Sun, Lorna T Zlock, Walter E Finkbeiner, Prescott G Woodruff, David J Erle

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Efficient CRISPR-Cas RNP-based gene targeting of human AT2 cells.American journal of respiratory cell and molecular biology · 2026
    Article
  4. Functional Variant Discovery Identifies a Novel Genetic Link between SPRY2, Wood Smoke, and Asthma.American journal of respiratory cell and molecular biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Asthma Pathogenesis: Phenotypes, Therapies, and Gaps: Summary of the Aspen Lung Conference 2023.American journal of respiratory cell and molecular biology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Biomimetics (Basel, Switzerland) · 2022
    Article
  15. Article
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  17. Article
  18. Review
  19. Article
  20. Reuse of Cell Culture Inserts forAmerican journal of respiratory cell and molecular biology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 3 countries.

Kyung Duk KohLung Biology Center.ORCID 0000-0003-3326-8217
Sana SiddiquiDivision of Pulmonary, Critical Care, Sleep, and Allergy, and.
Dan ChengLung Biology Center.
Luke R BonserLung Biology Center.
Dingyuan I SunDepartment of Pathology, University of California San Francisco, San Francisco, California; and.
Lorna T ZlockDepartment of Pathology, University of California San Francisco, San Francisco, California; and.
Walter E FinkbeinerDepartment of Pathology, University of California San Francisco, San Francisco, California; and.
Prescott G WoodruffCardiovascular Research Institute.
David J ErleLung Biology Center.ORCID 0000-0002-2171-0648
Cardiovascular Institute Hospital · JPUniversity of California, San Francisco · US

Funding

Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRESCOTT G WOODRUFF · 2008 to 2026
$41.1M
Role of miRNAs in Th2-Driven inflammation in AsthmaP01HL107202 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LOCKSLEY, RICHARD M · 2012 to 2023
$23.3M
SynthesisP30DK072517 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VERKMAN, ALAN S · 2005 to 2022
$18.1M
Airway epithelial cell gene regulation: new mechanisms and therapeutic strategiesR35HL145235 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J · 2019 to 2025
$6.8M
Airway Epithelial Reprogramming in AsthmaR01HL138424 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J · 2017 to 2018
$1.3M
Mentoring Research in Precision Medicine for Lung DiseaseK24HL137013 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRESCOTT G WOODRUFF · 2017 to 2026
$1.2M
NHLBI NIH HHS K24 HL137013NHLBI NIH HHS P01 HL107202NHLBI NIH HHS R01 HL138424NHLBI NIH HHS R35 HL145235NIAID NIH HHS U19 AI077439NIDDK NIH HHS P30 DK072517
6 · The paper itself

Abstract

Primary human bronchial epithelial cell (HBEC) cultures are a useful model for studies of lung health and major airway diseases. However, mechanistic studies have been limited by our ability to selectively disrupt specific genes in these cells. Here we optimize methods for gene targeting in HBECs by direct delivery of single guide RNA (sgRNA) and rCas9 (recombinant Cas9) complexes by electroporation, without a requirement for plasmids, viruses, or antibiotic selection. Variations in the method of delivery, sgRNA and rCas9 concentrations, and sgRNA sequences all had effects on targeting efficiency, allowing for predictable control of the extent of gene targeting and for near-complete disruption of gene expression. To demonstrate the value of this system, we targeted

Indexed as

BronchiCells, CulturedCRISPR-Cas SystemsDown-RegulationEpithelial CellsGene Expression RegulationGene TargetingGoblet CellsHumansInterleukin-13MetaplasiaMucin 5ACMucociliary ClearancePrimary Cell CultureProto-Oncogene Proteins c-etsRibonucleoproteinsIL13 protein, humanInterleukin-13MUC5AC protein, humanMucin 5ACProto-Oncogene Proteins c-etsRibonucleoproteinsRNA, Guide, CRISPR-Cas SystemsSPDEF protein, humanCRISPRgoblethuman bronchial epithelial cellsMUC5ACSPDEF

Identifiers

PMID31596609
PMCPMC7055692
OpenAlexW2979330616

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.