Evidence map›Paper›PMID 37390819›Full record

ReviewMolecular cell2023

Base editor screens for in situ mutational scanning at scale.

Nicholas Z Lue, Brian B Liau

Abstract readReview
In one paragraph

Review in Molecular cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Synthetic Regulatory Genomics.Annual review of genomics and human genetics · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. A SLiM view of the human proteome.Nature structural & molecular biology · 2026
    Article
  10. Review
  11. A proteome-wide dependency map of protein interaction motifs.Nature structural & molecular biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Nicholas Z LueDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Brian B LiauDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Electronic address: liau@chemistry.harvard.edu.

Funding

Mapping Structure-Activity Relationships of Chemical Inhibitors via Genome-EditingDP2GM137494 · NIGMS · HARVARD UNIVERSITY · PI LIAU, BRIAN · 2019 to 2019
$2.5M
NIGMS NIH HHS DP2 GM137494
6 · The paper itself

Abstract

A fundamental challenge in biology is understanding the molecular details of protein function. How mutations alter protein activity, regulation, and response to drugs is of critical importance to human health. Recent years have seen the emergence of pooled base editor screens for in situ mutational scanning: the interrogation of protein sequence-function relationships by directly perturbing endogenous proteins in live cells. These studies have revealed the effects of disease-associated mutations, discovered novel drug resistance mechanisms, and generated biochemical insights into protein function. Here, we discuss how this "base editor scanning" approach has been applied to diverse biological questions, compare it with alternative techniques, and describe the emerging challenges that must be addressed to maximize its utility. Given its broad applicability toward profiling mutations across the proteome, base editor scanning promises to revolutionize the investigation of proteins in their native contexts.

Indexed as

CRISPR-Cas SystemsGene EditingAmino Acid SequenceHumansMutationProteomeProteomebase editingbase editor screenCRISPRdrug resistancefunctional genomicsgenome editingmutational scanningvariant classification

Identifiers

PMID37390819
PMCPMC10330937

What OpenQuestion holds

Textmetadata
LicenceTDM
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.