Evidence map›Paper›PMID 36163549›Full record

ArticleNature biotechnology2023

A competitive precision CRISPR method to identify the fitness effects of transcription factor binding sites.

Päivi Pihlajamaa, Otto Kauko, Biswajyoti Sahu, Teemu Kivioja, Jussi Taipale

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 3 countries.

Päivi PihlajamaaApplied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-9725-6907
Otto KaukoApplied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Biswajyoti SahuApplied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-6576-5440
Teemu KiviojaApplied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-7732-2177
Jussi TaipaleApplied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland. ajt208@cam.ac.uk.ORCID http://orcid.org/0000-0003-4204-0951
University of Helsinki · FIÅbo Akademi University · FI

Funding

Cancer Research UK 28801Cancer Research UK RG99643Medical Research Council MR/V000500/1
6 · The paper itself

Abstract

Here we describe a competitive genome editing method that measures the effect of mutations on molecular functions, based on precision CRISPR editing using template libraries with either the original or altered sequence, and a sequence tag, enabling direct comparison between original and mutated cells. Using the example of the MYC oncogene, we identify important transcriptional targets and show that E-box mutations at MYC target gene promoters reduce cellular fitness.

Indexed as

Gene EditingTranscription FactorsBinding SitesClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsPromoter Regions, GeneticTranscription Factors

Identifiers

PMID36163549
PMCPMC9931575
OpenAlexW4297242417

What OpenQuestion holds

Textmetadata
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.