Evidence map›Paper›PMID 31701460›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

Generating Mutant Renal Cell Lines Using CRISPR Technologies.

Nuria Perretta-Tejedor, Grace Freke, Marian Seda, David A Long, Dagan Jenkins

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Nuria Perretta-TejedorDevelopmental Biology and Cancer, Great Ormond Street Institute of Child Health, University College London, London, UK.
Grace FrekeGenetics and Genomic Medicine Programmes, Great Ormond Street Institute of Child Health, University College London, London, UK.
Marian SedaGenetics and Genomic Medicine Programmes, Great Ormond Street Institute of Child Health, University College London, London, UK.
David A LongDevelopmental Biology and Cancer, Great Ormond Street Institute of Child Health, University College London, London, UK.
Dagan JenkinsGenetics and Genomic Medicine Programmes, Great Ormond Street Institute of Child Health, University College London, London, UK. d.jenkins@ucl.ac.uk.

Funding

Medical Research Council MR/L009978/1Medical Research Council MR/P018629/1Wellcome Trust 210585
6 · The paper itself

Abstract

Gene editing using the CRISPR/Cas9 system is an extremely efficient approach for generating mutations within the genomic DNA of immortalized cell lines. This procedure begins with a straightforward cloning step to generate a single plasmid encoding the Cas9 enzyme as well as a synthetic guide RNA (sgRNA) which is selected to target specific sites within the genome. This plasmid is transfected into cells either alone, in order to generate random insertion-deletion alleles ("indels") at the desired locus via the nonhomologous end-joining pathway, or in conjunction with a homology-directed repair template oligonucleotide to generate a specific point mutation. Here we describe a procedure to perform gene editing in IMCD3 and HEK293 cells and to subsequently isolate clonal cell lines carrying mutations of interest.

Indexed as

AllelesCell SeparationCloning, MolecularCRISPR-Associated Protein 9CRISPR-Cas SystemsFlow CytometryGene EditingHEK293 CellsHumansINDEL MutationRNA, Guide, CRISPR-Cas SystemsCRISPR-Associated Protein 9RNA, Guide, CRISPR-Cas SystemsFluorescence-activated cell sortingGene editingHEK293IMCD3pX330sgRNATransfection

Identifiers

PMID31701460
PMCPMC9703199

What OpenQuestion holds

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LicenceCC BY
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.