Evidence map›Paper›PMID 32929202›Full record

ArticleNature cell biology2020

Nucleated transcriptional condensates amplify gene expression.

Ming-Tzo Wei, Yi-Che Chang, Shunsuke F Shimobayashi, Yongdae Shin, Amy R Strom, Clifford P Brangwynne

Abstract read
PubMed Publisher
In one paragraph

Article in Nature cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed
15.4field-weighted citation impact, top 1% 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

199 citing papers in PubMed, 329 citations in OpenAlex.

  1. Review
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  9. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Combinatorial decision-making driven by multicomponent surface condensates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

139 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Ming-Tzo WeiDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Yi-Che ChangDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Shunsuke F ShimobayashiDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Yongdae ShinDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Amy R StromDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Clifford P BrangwynneDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA. cbrangwy@princeton.edu.ORCID http://orcid.org/0000-0002-1350-9960
Princeton University · USHoward Hughes Medical Institute · USSeoul National University · KR

Funding

Optogenetic Droplets: Using Light to Control Nucleoplasmic Phase SeparationU01DA040601 · NIDA · PRINCETON UNIVERSITY · PI BRANGWYNNE, CLIFFORD P · 2015 to 2019
$1.4M
Howard Hughes Medical InstituteNIDA NIH HHS U01 DA040601
6 · The paper itself

Abstract

Membraneless organelles or condensates form through liquid-liquid phase separation

Indexed as

Gene Expression RegulationAnimalsCell NucleolusCytoplasmHumansIntrinsically Disordered ProteinsMiceOrganellesPhase TransitionRNA Polymerase IITATA-Binding Protein Associated FactorsIntrinsically Disordered ProteinsRNA Polymerase IITAF15 protein, humanTATA-Binding Protein Associated Factors

Identifiers

PMID32929202
OpenAlexW3085471727

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.