Evidence map›Paper›PMID 37091873›Full record

ReviewFrontiers in molecular biosciences2023

Considerations and caveats for analyzing chromatin compartments.

Achyuth Kalluchi, Hannah L Harris, Timothy E Reznicek, M Jordan Rowley

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Mechanistic drivers of chromatin organization into compartments.Current opinion in genetics & development · 2024
    Review
  12. Article
  13. 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

4 authors.

Achyuth KalluchiDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
Hannah L HarrisDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
Timothy E ReznicekDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
M Jordan RowleyDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Apar Kishor Ganti · 1985 to 2026
$55.0M
Fine-Scale Genome Folding Relative to Transcription and LocationR35GM147467 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Michael Jordan Rowley · 2022 to 2026
$2.0M
Principals of Chromatin OrganizationR00GM127671 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ROWLEY, MICHAEL JORDAN · 2019 to 2021
$747k
NCI NIH HHS P30 CA036727NIGMS NIH HHS R00 GM127671NIGMS NIH HHS R35 GM147467
6 · The paper itself

Abstract

Genomes are organized into nuclear compartments, separating active from inactive chromatin. Chromatin compartments are readily visible in a large number of species by experiments that map chromatin conformation genome-wide. When analyzing these maps, a common step is the identification of genomic intervals that interact within A (active) and B (inactive) compartments. It has also become increasingly common to identify and analyze subcompartments. We review different strategies to identify A/B and subcompartment intervals, including a discussion of various machine-learning approaches to predict these features. We then discuss the strengths and limitations of current strategies and examine how these aspects of analysis may have impacted our understanding of chromatin compartments.

Indexed as

chromatin organizationcompartmentseigenvectorHi-CMicro-Csubcompartment

Identifiers

PMID37091873
PMCPMC10113542

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.