Evidence map›Paper›PMID 42841207›Full record

ReviewBiochemical Society transactions2026

How do low-complexity domain interactions control transcription?

Jiamin Guo, Qinyu Han, Kyogo Nagashima, Shasha Chong

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiamin GuoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, U.S.A.ORCID 0000-0002-8441-1266
Qinyu HanDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, U.S.A.ORCID 0000-0003-3464-8967
Kyogo NagashimaDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, U.S.A.
Shasha ChongDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, U.S.A.ORCID 0000-0002-5372-311X

Funding

The Alex's Lemonade Stand Foundation Innovation Grant 1260879
6 · The paper itself

Abstract

A substantial portion of the proteome consists of intrinsically disordered regions (IDRs) that do not fold into well-defined structures. IDRs often comprise low-complexity domains (LCDs), whose repetitive, compositionally biased sequences drive multivalent interactions that can lead to liquid-liquid phase separation, forming biomolecular assemblies. These LCD-mediated assemblies play an important role in transcriptional control, and productive output depends not on their mere presence but on how strongly and selectively LCDs interact. The present review integrates the optimal-interaction, or 'Goldilocks,' principle with RNA polymerase II phosphorylation and RNA-mediated feedback into a unified mechanistic framework spanning the transcription cycle. We connect dysregulation of LCD-mediated multivalent interactions to pathological transcription in cancer, neurodegeneration, and developmental disorders, whether through oncogenic LCD fusions, disease-associated post-translational modifications, or mutations altering phase-separation propensity. We further summarize experimental approaches for studying LCD function, discuss current methodological limitations, and highlight directions for future research.

Indexed as

Intrinsically Disordered ProteinsTranscription, GeneticAnimalsHumansPhase SeparationPhosphorylationProtein DomainsProtein Processing, Post-TranslationalRNA Polymerase IIIntrinsically Disordered ProteinsRNA Polymerase IIintrinsically disordered regionsLow-complexity domainsphase separationtranscriptional regulation

Identifiers

PMID42841207
PMCPMC13642991

What Socratic 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 Socratic graph.