Evidence map›Paper›PMID 35427480›Full record

ReviewTrends in biochemical sciences2022

Beyond the marks: reader-effectors as drivers of epigenetics and chromatin engineering.

Kierra A Franklin, Cara E Shields, Karmella A Haynes

Open access · greenAbstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Telomere-to-telomere genome ofHorticulture research · 2026
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  12. Reader-Effectors as Actuators of Epigenome Editing.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Review
  14. Review
  15. Article
  16. 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

3 authors at 1 institution in 1 country.

Kierra A FranklinWallace H. Coulter Department of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.
Cara E ShieldsWallace H. Coulter Department of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.
Karmella A HaynesWallace H. Coulter Department of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA. Electronic address: kahayne@emory.edu.
The Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Predictable control of gene regulation through epigenetic engineeringR21CA232244 · NCI · EMORY UNIVERSITY · PI HAYNES, KARMELLA ANN · 2019 to 2020
$376k
NCI NIH HHS R21 CA232244
6 · The paper itself

Abstract

Chromatin is a system of proteins and DNA that regulates chromosome organization and gene expression in eukaryotes. Essential features that support these processes include biochemical marks on histones and DNA, 'writer' enzymes that generate or remove these marks and proteins that translate the marks into transcriptional regulation: reader-effectors. Here, we review recent studies that reveal how reader-effectors drive chromatin-mediated processes. Advances in proteomics and epigenomics have accelerated the discovery of chromatin marks and their correlation with gene states, outpacing our understanding of the corresponding reader-effectors. Therefore, we summarize the current state of knowledge and open questions about how reader-effectors impact cellular function and human disease and discuss how synthetic biology can deepen our knowledge of reader-effector activity.

Indexed as

ChromatinEpigenomicsDNAEpigenesis, GeneticHistonesHumansChromatinDNAHistonescell developmental diseasechromatin modificationsepigenomeprotein engineeringsignal integrationtranscriptional regulation

Identifiers

PMID35427480
PMCPMC9074927
OpenAlexW4224046777

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.