Evidence map›Paper›PMID 39071308›Full record

ArticlebioRxiv : the preprint server for biology2024

Controlled and orthogonal partitioning of large particles into biomolecular condensates.

Fleurie M Kelley, Anas Ani, Emily G Pinlac, Bridget Linders, Bruna Favetta, Mayur Barai, Yuchen Ma, Arjun Singh, Gregory L Dignon, Yuwei Gu and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

11 authors.

Fleurie M KelleyDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Anas AniDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Emily G PinlacDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Bridget LindersDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Bruna FavettaDepartment of Biomedical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.ORCID 0000-0002-3613-1665
Mayur BaraiDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Yuchen MaDepartment of Chemistry and Chemical Biology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Arjun SinghDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Gregory L DignonDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.ORCID 0000-0001-8016-8652
Yuwei GuDepartment of Chemistry and Chemical Biology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.
Benjamin S SchusterDepartment of Chemical and Biochemical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ 08854.ORCID 0000-0002-6468-8081

Funding

Rutgers Biotechnology Training ProgramT32GM135141 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANN M. STOCK, Martin L Yarmush · 2020 to 2026
$3.5M
Sequence determinants of membraneless organelle rheology -- Research supplement to promote diversityR35GM142903 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Benjamin S Schuster · 2021 to 2026
$2.6M
Physical laws to control and regulate composition of multi-component biomolecular condensatesR35GM150589 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Gregory Dignon · 2023 to 2026
$1.4M
NIGMS NIH HHS R35 GM142903NIGMS NIH HHS R35 GM150589NIGMS NIH HHS T32 GM135141
6 · The paper itself

Abstract

Biomolecular condensates arising from liquid-liquid phase separation contribute to diverse cellular processes, such as gene expression. Partitioning of client molecules into condensates is critical to regulating the composition and function of condensates. Previous studies suggest that client size limits partitioning, with dextrans >5 nm excluded from condensates. Here, we asked whether larger particles, such as macromolecular complexes, can partition into condensates based on particle-condensate interactions. We sought to discover the biophysical principles that govern particle inclusion in or exclusion from condensates using polymer nanoparticles with tailored surface chemistries as models of macromolecular complexes. Particles coated with polyethylene glycol (PEG) did not partition into condensates. We next leveraged the PEGylated particles as an inert platform to which we conjugated specific adhesive moieties. Particles functionalized with biotin partitioned into condensates containing streptavidin, driven by high-affinity biotin-streptavidin binding. Oligonucleotide-decorated particles exhibited varying degrees of partitioning into condensates, depending on condensate composition. Partitioning of oligonucleotide-coated particles was tuned by altering salt concentration, oligonucleotide length, and oligonucleotide surface density. Remarkably, beads with distinct surface chemistries partitioned orthogonally into immiscible condensates. Based on our experiments, we conclude that arbitrarily large particles can controllably partition into biomolecular condensates given sufficiently strong condensate-particle interactions, a conclusion also supported by our coarse-grained molecular dynamics simulations and theory. These findings may provide insights into how various cellular processes are achieved based on partitioning of large clients into biomolecular condensates, as well as offer design principles for the development of drug delivery systems that selectively target disease-related biomolecular condensates.

Indexed as

biological sciencesbiophysics and computational biologyinterfacesintrinsically disordered proteinsliquid-liquid phase separationmolecular simulationsnanoparticles

Identifiers

PMID39071308
PMCPMC11275771

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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.