Evidence map›Paper›PMID 25191327›Full record

ReviewFrontiers in plant science2014

Decoding the role of chromatin architecture in development: coming closer to the end of the tunnel.

Chongyuan Luo, Juan Dong, Yi Zhang, Eric Lam

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Chongyuan LuoDepartment of Plant Biology and Pathology, Rutgers the State University of New Jersey New Brunswick, NJ, USA.
Juan DongDepartment of Plant Biology and Pathology, Rutgers the State University of New Jersey New Brunswick, NJ, USA ; The Waksman Institute of Microbiology, Rutgers the State University of New Jersey Piscataway, NJ, USA.
Yi ZhangDepartment of Plant Biology and Pathology, Rutgers the State University of New Jersey New Brunswick, NJ, USA.
Eric LamDepartment of Plant Biology and Pathology, Rutgers the State University of New Jersey New Brunswick, NJ, USA.

Funding

Cell polarity and asymmetric division in plantsR01GM109080 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI DONG, JUAN · 2014 to 2018
$1.5M
NIGMS NIH HHS R01 GM109080
6 · The paper itself

Abstract

Form and function in biology are intimately related aspects that are often difficult to untangle. While the structural aspects of chromatin organization were apparent from early cytological observations long before the molecular details of chromatin functions were deciphered, the extent to which genome architecture may impact its output remains unclear. A major roadblock to resolve this issue is the divergent scales, both temporal and spatial, of the experimental approaches for examining these facets of chromatin biology. Recent advances in high-throughput sequencing and informatics to model and monitor genome-wide chromatin contact sites provide the much-needed platform to close this gap. This mini-review will focus on discussing recent efforts applying new technologies to elucidate the roles of genome architecture in coordinating global gene expression output. Our discussion will emphasize the potential roles of differential genome 3-D structure as a driver for cell fate specification of multicellular organisms. An integrated approach that combines multiple new methodologies may finally have the necessary temporal and spatial resolution to provide clarity on the roles of chromatin architecture during development.

Indexed as

cell fate specificationchromatinchromatin beaconschromatin conformation captureINTACT method

Identifiers

PMID25191327
PMCPMC4140164

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.