Evidence map›Paper›PMID 33688311›Full record

ArticleMicrofluidics and nanofluidics2015

A Microfluidic Method for the Selection of Undifferentiated Human Embryonic Stem Cells and

E Jabart, S Rangarajan, C Lieu, J Hack, I Conboy, L L Sohn

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microfluidics and nanofluidics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

E JabartDept. of Bioengineering, University of California, Berkeley 94720, USA.
S RangarajanDept. of Bioengineering, University of California, Berkeley 94720, USA.
C LieuSchool of Medicine, Creighton University, Omaha, NE 68178, USA.
J HackDept. of Mechanical Engineering, University of California, Berkeley 94720, USA.
I ConboyDept. of Bioengineering, University of California, Berkeley 94720, USA.
L L SohnDept. of Mechanical Engineering, University of California, Berkeley 94720, USA.
University of California, Berkeley · USCreighton University · US

Funding

Effects of the systemic environment on muscle agingR01AG027252 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONBOY, IRINA M · 2007 to 2012
$1.7M
NIA NIH HHS R01 AG027252
6 · The paper itself

Abstract

Conventional cell-sorting methods such as fluorescence-activated cell sorting (FACS) or magnetic-activated cell sorting (MACS) can suffer from certain shortcomings such as lengthy sample preparation time, cell modification through antibody labeling, and cell damage due to exposure to high shear forces or to attachment of superparamagnetic Microbeads. In light of these drawbacks, we have recently developed a label-free, microfluidic platform that can not only select cells with minimal sample preparation but also enable analysis of cells in situ. We demonstrate the utility of our platform by successfully isolating undifferentiated human embryonic stem cells (hESCs) from a heterogeneous population based on the undifferentiated stem-cell marker SSEA-4. Importantly, we show that, in contrast to MACS or FACS, cells isolated by our method have very high viability (~90%). Overall, our platform technology could likely be applied to other cell types beyond hESCs and to a variety of heterogeneous cell populations in order to select and analyze cells of interest.

Indexed as

cell sortingHuman embryonic stem cells (hESCs)in situ analysislabel-free

Identifiers

PMID33688311
PMCPMC7939131
OpenAlexW2064610485

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.