Evidence map›Paper›PMID 32687243›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2021

Mass-Added Density Modulation for Sorting Cells Based on Differential Surface Protein Levels.

Sylvia A Sarnik, Bryan A Sutermaster, Eric M Darling

Open access · greenAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2021. 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
0.2field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Single-Cell Microgels for Diagnostics and Therapeutics.Advanced functional materials · 2021
    Article
  2. 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

3 authors at 1 institution in 1 country.

Sylvia A SarnikCenter for Biomedical Engineering, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-0466-5806
Bryan A SutermasterCenter for Biomedical Engineering, Brown University, Providence, Rhode Island, USA.
Eric M DarlingCenter for Biomedical Engineering, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-3932-8623
Brown University · US

Funding

High-yield, lineage-specific enrichment of living mesenchymal stem cellsR01AR063642 · NIAMS · BROWN UNIVERSITY · PI DARLING, ERIC M · 2013 to 2018
$1.8M
NIAMS NIH HHS R01 AR063642
6 · The paper itself

Abstract

Cell sorting is a powerful tool in basic research and therapeutic enrichment. However, common cell sorting methods, such as fluorescence-activated cell sorting (FACS) and magnetic-activated cell sorting (MACS) have significant limitations, such as generally low cell yields or restriction to binary separation, respectively. To address these limitations, we developed a two-step cell sorting method called mass-added density centrifugation (MADC) to enable nonbinary separation of large cell numbers based on surface protein levels. In the first MADC step (mass-adding), antibody-directed massive microparticles bind target surface proteins to modulate single-cell density proportionally to target protein level. Second, microparticle-laden cells are subjected to discontinuous density gradient centrifugation, whereby they separate into discrete density bands which can be isolated for downstream use. MADC will prove especially advantageous for obtaining sufficient cell numbers for protein analyses from large source populations, and it is a fast process that can facilitate live cell enrichment for therapies that require tens of millions of cells. Here, we demonstrate MADC's utility for both live and fixed cell sorts of multiple cell types based on abundance of an example target protein, CD44. CD44 quantity in separated cell groups was assayed with western blots and correlated with modulated cell density. This novel sorting method enables rapid, nonbinary isolation of large quantities of cells based on surface protein levels and should prove useful in both basic science and therapeutic applications. © 2020 International Society for Advancement of Cytometry.

Indexed as

MagneticsMembrane ProteinsCell CountCell SeparationFlow CytometryMembrane Proteinsbiomarkercell separationdensity centrifugationdensity gradientenrichmenthigh-throughput

Identifiers

PMID32687243
PMCPMC7855113
OpenAlexW3044562537

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.