Evidence map›Paper›PMID 31020316›Full record

ReviewJournal of biochemistry2019

Harnessing biomolecular condensates in living cells.

Hideki Nakamura, Robert DeRose, Takanari Inoue

Abstract readReview
In one paragraph

Review in Journal of biochemistry, 2019. 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. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Hideki NakamuraDepartment of Cell Biology and Center for Cell Dynamics, Johns Hopkins University School of Medicine, 855 N. Wolfe Street, Baltimore, MD, USA.
Robert DeRoseDepartment of Cell Biology and Center for Cell Dynamics, Johns Hopkins University School of Medicine, 855 N. Wolfe Street, Baltimore, MD, USA.
Takanari InoueDepartment of Cell Biology and Center for Cell Dynamics, Johns Hopkins University School of Medicine, 855 N. Wolfe Street, Baltimore, MD, USA.

Funding

Feedback and Crosstalk in Eukaryotic ChemotaxisR01GM123130 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI INOUE, TAKANARI · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM123130
6 · The paper itself

Abstract

As part of the 'Central Dogma' of molecular biology, the function of proteins and nucleic acids within a cell is determined by their primary sequence. Recent work, however, has shown that within living cells the role of many proteins and RNA molecules can be influenced by the physical state in which the molecule is found. Within living cells, both protein and RNA molecules are observed to condense into non-membrane-bound yet distinct structures such as liquid droplets, hydrogels and insoluble aggregates. These unique intracellular organizations, collectively termed biomolecular condensates, have been found to be vital in both normal and pathological conditions. Here, we review the latest studies that have developed molecular tools attempting to recreate artificial biomolecular condensates in living cells. We will describe their design principles, implementation and unique characteristics, along with limitations. We will also introduce how these tools can be used to probe and perturb normal and pathological cell functions, which will then be complemented with discussions of remaining areas for technological advance under this exciting theme.

Indexed as

AnimalsCell SurvivalHumansProteinsRNAProteinsRNAbiomolecular condensateschemically-induced dimerizationhydrogelsliquid dropletsoptogenetics

Identifiers

PMID31020316
PMCPMC6821259

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.