Evidence map›Paper›PMID 38626581›Full record

ReviewCurrent opinion in genetics & development2024

Mechanistic drivers of chromatin organization into compartments.

Hannah L Harris, M Jordan Rowley

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 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

2 authors at 1 institution in 1 country.

Hannah L HarrisDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Emile St, Omaha 68198, NE, USA.
M Jordan RowleyDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Emile St, Omaha 68198, NE, USA. Electronic address: jordan.rowley@unmc.edu.
University of Nebraska Medical Center · US

Funding

Fine-Scale Genome Folding Relative to Transcription and LocationR35GM147467 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Michael Jordan Rowley · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147467
6 · The paper itself

Abstract

The human genome is not just a simple string of DNA, it is a complex and dynamic entity intricately folded within the cell's nucleus. This three-dimensional organization of chromatin, the combination of DNA and proteins in the nucleus, is crucial for many biological processes and has been prominently studied for its intricate relationship to gene expression. Indeed, the transcriptional machinery does not operate in isolation but interacts intimately with the folded chromatin structure. Techniques for chromatin conformation capture, including genome-wide sequencing approaches, have revealed key organizational features of chromatin, such as the formation of loops by CCCTC-binding factor (CTCF) and the division of loci into chromatin compartments. While much of the recent research and reviews have focused on CTCF loops, we discuss several new revelations that have emerged concerning chromatin compartments, with a particular focus on what is known about mechanistic drivers of compartmentalization. These insights challenge the traditional views of chromatin organization and reveal the complexity behind the formation and maintenance of chromatin compartments.

Indexed as

CCCTC-Binding FactorChromatinAnimalsCell NucleusChromatin Assembly and DisassemblyDNAGenome, HumanHumansCCCTC-Binding FactorChromatinCTCF protein, humanDNA

Identifiers

PMID38626581
PMCPMC11898215
OpenAlexW4394834518

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.