Evidence map›Paper›PMID 28059522›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2017

Dual-Functional Lipid Coating for the Nanopillar-Based Capture of Circulating Tumor Cells with High Purity and Efficiency.

Hsin-Ya Lou, Wenting Zhao, Lindsey Hanson, Connie Zeng, Yi Cui, Bianxiao Cui

Open access · greenAbstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Natural Fish Trap-Like Nanocage for Label-Free Capture of Circulating Tumor Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  4. Review
  5. Review
  6. Article
  7. 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

6 authors at 1 institution in 1 country.

Hsin-Ya Lou
Wenting Zhao
Lindsey Hanson
Connie Zeng
Yi CuiStanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory , Menlo Park, California 94025, United States.
SLAC National Accelerator Laboratory · US

Funding

Engineering external forces for manipulating cargo transport in live neuronsDP2NS082125 · NINDS · STANFORD UNIVERSITY · PI CUI, BIANXIAO · 2012 to 2012
$2.4M
Imaging NGF signal transduction in live neuronsR00NS057906 · NINDS · STANFORD UNIVERSITY · PI CUI, BIANXIAO · 2008 to 2010
$852k
Imaging nerve growth factor signal transduction in live neuronsK99NS057906 · NINDS · STANFORD UNIVERSITY · PI CUI, BIANXIAO · 2007 to 2008
$117k
NINDS NIH HHS DP2 NS082125NINDS NIH HHS K99 NS057906NINDS NIH HHS R00 NS057906
6 · The paper itself

Abstract

Clinical studies of circulating tumor cells (CTC) have stringent demands for high capture purity and high capture efficiency. Nanostructured surfaces have been shown to significantly increase the capture efficiency yet suffer from low capture purity. Here we introduce a dual-functional lipid coating on nanostructured surfaces. The lipid coating serves both as an effective passivation layer that helps prevent nonspecific cell adhesion and as a functionalized layer for antibody-based specific cell capture. In addition, the fluidity of lipid bilayers enables antibody clustering that enhances the cell-surface interaction for efficient cell capture. As a result, the lipid-coating method helps promote both the capture efficiency and capture purity of nanostructure-based CTC capture.

Indexed as

Cell AdhesionCell SeparationHumansLipidsMCF-7 CellsNanotechnologyNeoplastic Cells, CirculatingLipids

Identifiers

PMID28059522
PMCPMC8491572
OpenAlexW2569363736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.