Evidence map›Paper›PMID 18703013›Full record

ArticleBiochimica et biophysica acta2008

Characterizing the chemical complexity of patterned biomimetic membranes.

Kanika Vats, Minjoung Kyoung, Erin D Sheets

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2008. 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.

Kanika VatsDepartment of Chemistry, The Pennsylvania State University, University Park, PA 16802, USA.
Minjoung Kyoung
Erin D Sheets

Funding

Nanostructural Dynamics of Biomembranes in Immunoreceptor SignalingR21AG030949 · NIA · UNIVERSITY OF MINNESOTA · PI SHEETS, ERIN D · 2007 to 2008
$207k
NIA NIH HHS AG030949NIA NIH HHS R21 AG030949
6 · The paper itself

Abstract

Biomembranes are complex, heterogeneous, dynamic systems playing essential roles in numerous processes such as cell signaling and membrane trafficking. Model membranes provide simpler platforms for studying biomembrane dynamics under well-controlled environments. Here we present a modified polymer lift-off approach to introduce chemical complexity into biomimetic membranes by constructing domains of one lipid composition (here, didodecylphosphatidylcholine) that are surrounded by a different lipid composition (e.g., dipentadecylphosphatidylcholine), which we refer to as patterned backfilled samples. Fluorescence microscopy and correlation spectroscopy were used to characterize this patterning approach. We observe two types of domain populations: one with diffuse boundaries and a minor fraction with sharp edges. Lipids within the diffuse domains in patterned backfilled samples undergo anomalous diffusion, which results from nonideally mixed clusters of gel phase lipid within the fluid domains. No lateral diffusion was observed within the minor population of domains with well-defined borders. These results suggest that, while membrane patterning by a variety of approaches is useful for biophysical and biosensor applications, a thorough and systematic characterization of the resulting biomimetic membrane, and its unpatterned counterpart, is essential.

Indexed as

Membranes, ArtificialBoron CompoundsDiffusionFluorescenceLipidsMicroscopy, Atomic ForcePhosphatidylcholinesPolymersUnilamellar Liposomes4,4-difluoro-4-bora-3a,4a-diaza-s-indaceneBoron CompoundsLipidsMembranes, ArtificialPhosphatidylcholinesPolymersUnilamellar Liposomes

Identifiers

PMID18703013
PMCPMC2596871

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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.