Evidence map›Paper›PMID 36762644›Full record

ArticleeLife2023

Activity-based CRISPR scanning uncovers allostery in DNA methylation maintenance machinery.

Kevin Chun-Ho Ngan, Samuel M Hoenig, Hui Si Kwok, Nicholas Z Lue, Pallavi M Gosavi, David A Tanner, Emma M Garcia, Ceejay Lee, Brian B Liau

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 14 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

9 authors at 2 institutions in 1 country.

Kevin Chun-Ho NganDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0001-8067-3472
Samuel M HoenigDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.
Hui Si KwokDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-2858-8876
Nicholas Z LueDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-4236-9127
Pallavi M GosaviDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.
David A TannerDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.
Emma M GarciaDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0001-5111-1622
Ceejay LeeDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.
Brian B LiauDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-2985-462X
Broad Institute · USHarvard University · US

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

Allostery enables dynamic control of protein function. A paradigmatic example is the tightly orchestrated process of DNA methylation maintenance. Despite the fundamental importance of allosteric sites, their identification remains highly challenging. Here, we perform CRISPR scanning on the essential maintenance methylation machinery-DNMT1 and its partner UHRF1-with the activity-based inhibitor decitabine to uncover allosteric mechanisms regulating DNMT1. In contrast to non-covalent DNMT1 inhibition, activity-based selection implicates numerous regions outside the catalytic domain in DNMT1 function. Through computational analyses, we identify putative mutational hotspots in DNMT1 distal from the active site that encompass mutations spanning a multi-domain autoinhibitory interface and the uncharacterized BAH2 domain. We biochemically characterize these mutations as gain-of-function, exhibiting increased DNMT1 activity. Extrapolating our analysis to UHRF1, we discern putative gain-of-function mutations in multiple domains, including key residues across the autoinhibitory TTD-PBR interface. Collectively, our study highlights the utility of activity-based CRISPR scanning for nominating candidate allosteric sites, and more broadly, introduces new analytical tools that further refine the CRISPR scanning framework.

Indexed as

DNA (Cytosine-5-)-MethyltransferasesDNA MethylationCCAAT-Enhancer-Binding ProteinsClustered Regularly Interspaced Short Palindromic RepeatsDNA (Cytosine-5-)-Methyltransferase 1Ubiquitin-Protein LigasesCCAAT-Enhancer-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesUbiquitin-Protein Ligasesallosterybiochemistrybioinformaticschemical biologyCRISPR–Cas9 mutagenesisDNA methylationfunctional genomicsgeneticsgenomicsmammalian cells

Identifiers

PMID36762644
PMCPMC9946446
OpenAlexW4319825952

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.