Evidence map›Paper›PMID 26616557›Full record

ArticleSoft matter2016

Enzymatically triggered rupture of polymersomes.

Woo-Sik Jang, Seung Chul Park, Ellen H Reed, Kevin P Dooley, Samuel F Wheeler, Daeyeon Lee, Daniel A Hammer

Abstract read
In one paragraph

Article in Soft matter, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Stimuli-responsive liposomes for drug delivery.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2017
    Review
  5. Article
  6. 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

7 authors.

Woo-Sik JangDepartment of Chemical and Biomolecular Engineering, The University of Pennsylvania, Philadelphia PA, USA. hammer@seas.upenn.edu daeyeon@seas.upenn.edu.
Seung Chul ParkDepartment of Chemical and Biomolecular Engineering, The University of Pennsylvania, Philadelphia PA, USA. hammer@seas.upenn.edu daeyeon@seas.upenn.edu.
Ellen H ReedDepartment of Chemical and Biomolecular Engineering, The University of Pennsylvania, Philadelphia PA, USA. hammer@seas.upenn.edu daeyeon@seas.upenn.edu.
Kevin P DooleyDepartment of Chemical Engineering, Rowan University, Glassboro NJ, USA.
Samuel F WheelerHarriton High School, Rosemont PA, USA.
Daeyeon LeeDepartment of Chemical and Biomolecular Engineering, The University of Pennsylvania, Philadelphia PA, USA. hammer@seas.upenn.edu daeyeon@seas.upenn.edu.
Daniel A HammerDepartment of Chemical and Biomolecular Engineering, The University of Pennsylvania, Philadelphia PA, USA. hammer@seas.upenn.edu daeyeon@seas.upenn.edu and Department of Bioengineering, The University of Pennsylvania, Philadelphia PA, USA.

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008275 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WAND, A. JOSHUA · 1988 to 2018
$6.0M
NIGMS NIH HHS T32 GM008275
6 · The paper itself

Abstract

Polymersomes are robust vesicles made from amphiphilic block co-polymers. Large populations of uniform giant polymersomes with defined, entrapped species can be made by templating of double-emulsions using microfluidics. In the present study, a series of two enzymatic reactions, one inside and the other outside of the polymersome, were designed to induce rupture of polymersomes. We measured how the kinetics of rupture were affected by altering enzyme concentration. These results suggest that protocells with entrapped enzymes can be engineered to secrete contents on cue.

Indexed as

EmulsionsGlucose OxidaseLiposomesMicrofluidicsPolyethylenesEmulsionsGlucose OxidaseLiposomesPolyethylenes

Identifiers

PMID26616557
PMCPMC5148629

What OpenQuestion holds

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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.