Evidence map›Paper›PMID 35465164›Full record

ReviewComputational and structural biotechnology journal2022

The use of base editing technology to characterize single nucleotide variants.

Sophia McDaniel, Alexis Komor, Alon Goren

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. 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
0.6field-weighted citation impact, top 37% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. BEtarget: A versatile web-based tool to design guide RNAs for base editing in plants.Computational and structural biotechnology journal · 2022
    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

3 authors at 1 institution in 1 country.

Sophia McDanielDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
Alexis KomorDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, United States.
Alon GorenDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
University of California San Diego · US

Funding

Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
Supplement to R35 "Development and Application of New Genome Editing Tools for the Functional Investigation of Genetic Variants of Uncertain Significance"R35GM138317 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Alexis C. Komor · 2020 to 2026
$2.8M
NHGRI NIH HHS RM1 HG011558NIGMS NIH HHS R35 GM138317
6 · The paper itself

Abstract

Single nucleotide variants (SNVs) represent the most common type of polymorphism in the human genome. However, in many cases the phenotypic impacts of such variants are not well understood. Intriguingly, while some SNVs cause debilitating diseases, other variants in the same gene may have no, or limited, impact. The mechanisms underlying these complex patterns are difficult to study at scale. Additionally, current data and research is mainly focused on European populations, and the mechanisms underlying genetic traits in other populations are poorly studied. Novel technologies may be able to mitigate this disparity and improve the applicability of personalized healthcare to underserved populations. In this review we discuss base editing technologies and their potential to accelerate progress in this field, particularly in combination with single-cell RNA sequencing. We further explore how base editing screens can help link SNVs to distinct disease phenotypes. We then highlight several studies that take advantage of single-cell RNA sequencing and CRISPR screens to emphasize the current limitations and future potential of this technique. Lastly, we consider the use of such approaches to potentially accelerate the study of genetic mechanisms in non-European populations.

Indexed as

Base editingCRISPRScreensSingle-cell RNA sequencingSingle nucleotide variants

Identifiers

PMID35465164
PMCPMC9010703
OpenAlexW4220761742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.