Evidence map›Paper›PMID 36227470›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Multiscale Modeling of Protein-RNA Condensation in and Out of Equilibrium.

Rabia Laghmach, Isha Malhotra, Davit A Potoyan

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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. Article
  2. Review
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.

Rabia LaghmachDepartment of Chemistry, Iowa State University, Ames, IA, USA.
Isha MalhotraDepartment of Chemistry, Iowa State University, Ames, IA, USA.
Davit A PotoyanDepartment of Chemistry, Iowa State University, Ames, IA, USA. potoyan@iastate.edu.

Funding

Multi-scale computational investigation of functions and mechanisms of protein-RNA phase separation.R35GM138243 · NIGMS · IOWA STATE UNIVERSITY · PI Davit POTOYAN · 2020 to 2026
$2.4M
NIGMS NIH HHS R35 GM138243
6 · The paper itself

Abstract

A vast number of intracellular membraneless bodies also known as biomolecular condensates form through a liquid-liquid phase separation (LLPS) of biomolecules. To date, phase separation has been identified as the main driving force for a membraneless organelles such as nucleoli, Cajal bodies, stress granules, and chromatin compartments. Recently, the protein-RNA condensation is receiving increased attention, because it is closely related to the biological function of cells such as transcription, translation, and RNA metabolism. Despite the multidisciplinary efforts put forth to study the biophysical properties of protein-RNA condensates, there are many fundamental unanswered questions regarding the mechanism of formation and regulation of protein-RNA condensates in eukaryotic cells. Major challenges in studying protein-RNA condensation stem from (i) the molecular heterogeneity and conformational flexibility of RNA and protein chains and (ii) the nonequilibrium nature of transcription and cellular environment. Computer simulations, bioinformatics, and mathematical models are uniquely positioned for shedding light on the microscopic nature of protein-RNA phase separation. To this end, there is an urgent need for innovative models with the right spatiotemporal resolution for confronting the experimental observables in a comprehensive and physics-based manner. In this chapter, we will summarize the currently emerging research efforts, which employ atomistic and coarse-grained molecular models and field theoretical models to understand equilibrium and nonequilibrium aspects of protein-RNA condensation.

Indexed as

OrganellesRNACell NucleolusChromatinCoiled BodiesChromatinRNABiomolecular condensatesCoarse-grainingLiquid-liquid phase separationMolecular DynamicsPhase-Fieldprotein-RNA interactions

Identifiers

PMID36227470
PMCPMC11186142

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Registered trials

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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.