Evidence map›Paper›PMID 32144739›Full record

ReviewBiophysical reviews2020

Nonspecific characteristics of macromolecules create specific effects in living cells.

Kanta Tsumoto, Hiroki Sakuta, Kingo Takiguchi, Kenichi Yoshikawa

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2020. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spatial-Temporal Genome Regulation in Stress-Response and Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Transcription Factors as Evolvable Biosensors.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
  8. Article
  9. 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.

Kanta TsumotoDivision of Chemistry for Materials, Graduate School of Engineering, Mie University, Tsu, 514-8507, Japan. tsumoto@chem.mie-u.ac.jp.
Hiroki SakutaGraduate School of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.
Kingo TakiguchiGraduate School of Science, Nagoya University, Nagoya, 464-8602, Japan.
Kenichi YoshikawaGraduate School of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.

Funding

Japan Society for the Promotion of Science 15H02121Ministry of Education, Culture, Sports, Science and Technology 18H04976
6 · The paper itself

Abstract

Recently, the important role of microphase separation in living cells has been attracting considerable interest in relation to cell organization and function. For example, many studies have focused on liquid-liquid phase separation (LLPS) as a very plausible mechanism for the presence of membraneless organelles. To confirm the role of phase separation in living cells, experimental studies on models and/or reconstructed systems are needed. In this short review, we discuss current paradigms of LLPS and provide some example "review data" to demonstrate particular points relating to the specific localization of biological macromolecules like DNAs and actin proteins with spontaneous domain formation in microdroplets emerging in an aqueous two-phase system (ATPS) (we use polyethylene glycol (PEG)/dextran (DEX)-a binary polymer solution). We also suggest that phase separation and transition may play basic roles in regulation of the biochemical reactivity of individual long genomic DNAs.

Indexed as

Aqueous two-phase systemDepletion effectDNA condensationMacromolecular crowdingMicrocompartmentalizationPhase transition

Identifiers

PMID32144739
PMCPMC7242541

What OpenQuestion holds

Textmetadata
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.