Evidence map›Paper›PMID 32425084›Full record

ArticleSLAS discovery : advancing life sciences R & D2020

A Whole Genome-Wide Arrayed CRISPR Screen in Primary Organ Fibroblasts to Identify Regulators of Kidney Fibrosis.

Robert J Turner, Stefan Golz, Carina Wollnik, Nils Burkhardt, Ina Sternberger, Uwe Andag, Hauke Cornils

Open access · bronzeAbstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. A practical toolbox for modelling fibrosis in vitro.Nature biomedical engineering · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Frontiers in physiology · 2021
    Review
4 · The record

Corrections and comments

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

7 authors at 2 institutions in 1 country.

Robert J TurnerIn Vitro Biology, Evotec SE, Hamburg, Germany.
Stefan GolzLead Discovery, Bayer AG, Wuppertal, Germany.
Carina WollnikIn Vitro Biology, Evotec SE, Hamburg, Germany.
Nils BurkhardtLead Discovery, Bayer AG, Wuppertal, Germany.
Ina SternbergerIn Vitro Biology, Evotec SE, Hamburg, Germany.
Uwe AndagMetabolic Disease, Evotec International GmbH, Göttingen, Germany.
Hauke CornilsIn Vitro Biology, Evotec SE, Hamburg, Germany.
Evotec (Germany) · DEBayer (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney fibrosis presents a hallmark of chronic kidney disease. With ever-increasing patient numbers and limited treatment options available, novel strategies for therapeutic intervention in kidney disease are warranted. Fibrosis commonly results from a wound healing response to repeated or chronic tissue damage, irrespective of the underlying etiology, and can occur in virtually any solid organ or tissue. In order to identify targets relevant for kidney fibrosis, we aimed to employ CRISPR screening in primary human kidney fibroblasts. We demonstrate that CRISPR technology can be applied in primary kidney fibroblasts and can furthermore be used to conduct arrayed CRISPR screening using a high-content imaging readout in a whole genome-wide manner. Hits coming out of this screen were validated using orthogonal approaches and present starting points for validation of novel targets relevant to kidney disease.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsFibroblastsFibrosisGenome, HumanHigh-Throughput Nucleotide SequencingHumansKidneyKidney DiseasesMolecular Targeted Therapyarrayed CRISPR screenfibrosistarget identification

Identifiers

PMID32425084
PMCPMC7309357
OpenAlexW3028558784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.