Evidence map›Paper›PMID 28930450›Full record

ArticleAnalytical chemistry2017

Continuous Sorting of Cells Based on Differential P Selectin Glycoprotein Ligand Expression Using Molecular Adhesion.

Bushra Tasadduq, Brynn McFarland, Muhymin Islam, Alexander Alexeev, A Fatih Sarioglu, Todd Sulchek

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2017. 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
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  5. Hydrodynamic shear-based purification of cancer cells with enhanced tumorigenic potential.Integrative biology : quantitative biosciences from nano to macro · 2020
    Article
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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 2 countries.

Bushra TasadduqThe School of Electrical and Computer Engineering, Georgia Institute of Technology Atlanta, Georgia 30332, United States.ORCID 0000-0001-7656-8020
Brynn McFarlandDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
Muhymin IslamWoodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
Alexander AlexeevWoodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
A Fatih SariogluThe School of Electrical and Computer Engineering, Georgia Institute of Technology Atlanta, Georgia 30332, United States.
Todd SulchekWoodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.ORCID 0000-0003-4196-6293
Georgia Institute of Technology · US

Funding

Microfluidic Monitoring of Single Cell Elasticity, Viscoelasticity, and PlasticityR21EB020977 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI ALEXEEV, ALEXANDER, LAM, WILBUR A · 2015 to 2016
$405k
NIBIB NIH HHS R21 EB020977
6 · The paper itself

Abstract

Cell surface molecular adhesions govern many important physiological processes and are used to identify cells for analysis and purifications. But most effective cell adhesion separation technologies use labels or long-term attachments in their application. While label-free separation microsystems typically separate cells by size, stiffness, and shape, they often do not provide sufficient specificity to cell type that can be obtained from molecular expression. We demonstrate a label-free microfluidic approach capable of high throughput separation of cells based upon surface molecule adhesion. Cells are flowed through a microchannel designed with angled ridges at the top of the channel and coated with adhesive ligands specific to target cell receptors. The ridges slightly compress passing cells such that adhesive contact can be made with sufficient surface area without unduly affecting cell trajectories because of cell stiffness. Thus, sorting is sensitive to cell adhesion but not to stiffness or cell size. The enforced interactions between the cells and the ridges ensure that a high flow rate can be used without lift forces quenching adhesion. As a proof of principle of the method, we separate both Jurkat and HL60 cell lines based on their differential expression of PSGL-1 ligand by using a ridged channel coated with P selectin. We demonstrate 26-fold and 3.8-fold enrichment of PSGL-1 positive and 4.4-fold and 3.2-fold enrichment of PSGL-1 negative Jurkat and HL60 cells, respectively. Increasing the number of outlets to five allows for greater resolution in PSGL-1 selection resulting in fractionation of a single cell type into subpopulations of cells with high, moderate, and low PSGL-1 expression. The cells can flow at a rate of up to 0.2 m/s, which corresponds to 0.045 million cells per minute at the designed geometry, which is over 2 orders of magnitude higher than previous adhesive-based sorting approaches. Because of the short interaction time of the cells with the adhesive surfaces, the sorting method does not further activate the cells due to molecular binding. Such an approach may find use in label-free selection of cells for a highly expressed molecular phenotype.

Indexed as

Gene Expression RegulationCell AdhesionCell SeparationHL-60 CellsHumansJurkat CellsLab-On-A-Chip DevicesLigandsP-SelectinTime FactorsLigandsP-Selectin

Identifiers

PMID28930450
PMCPMC6996645
OpenAlexW2756282164

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.