Evidence map›Paper›PMID 40081990›Full record

ReviewAnnual review of chemical and biomolecular engineering2025

Engineering Protein-Polyelectrolyte Interactions for Cellular Applications.

Rachel S Fisher, Jane Liao, So Yeon Ahn, Nisha Modi, Aaron K Kidane, Allie C Obermeyer

Abstract readReview
In one paragraph

Review in Annual review of chemical and biomolecular engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Rachel S FisherChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.
Jane LiaoChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.
So Yeon AhnChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.
Nisha ModiChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.
Aaron K KidaneChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.
Allie C ObermeyerChemical Engineering, Columbia University, New York, NY, USA; email: aco2134@columbia.edu.

Funding

Development of functional synthetic biomolecular condensates.R35GM138378 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI OBERMEYER, ALLIE C · 2020 to 2024
$2.3M
NIGMS NIH HHS R35 GM138378
6 · The paper itself

Abstract

Protein-polyelectrolyte interactions are fundamental interactions in biology that occur at every length scale, from protein-DNA complexes to phase-separated organelles. They drive processes ranging from gene transcription and DNA synthesis to viral assembly. Protein engineering is a powerful way to modulate these interactions, both to probe endogenous function and to engineer novel interactions between species. In this review, we consider the various noncovalent interactions that govern the formation and behavior of these complexes, and we discuss how protein modifications such as changes to structure, charge, and charge patterning affect them. We highlight recent examples where engineering changes to protein-polyelectrolyte interactions have helped elucidate biological function, and we then focus on recent efforts toward de novo material design of synthetic biomolecular condensates and functional nanoassemblies.

Indexed as

PolyelectrolytesProtein EngineeringProteinsMicellesNanostructuresProtein Interaction Domains and MotifsMicellesPolyelectrolytesProteinsbiomolecular condensatescomplex coacervationpolyelectrolytepolyelectrolyte complex micellesprotein engineering

Identifiers

PMID40081990
PMCPMC13613541

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.