Evidence map›Paper›PMID 28074882›Full record

ArticleScientific reports2017

Immunomagnetic separation of tumor initiating cells by screening two surface markers.

Chen Sun, Yuan-Pang Hsieh, Sai Ma, Shuo Geng, Zhenning Cao, Liwu Li, Chang Lu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The role of TIGIT-CD226-PVR axis in mediating T cell exhaustion and apoptosis in NSCLC.Apoptosis : an international journal on programmed cell death · 2025
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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

7 authors.

Chen SunDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia 24061, USA.
Yuan-Pang HsiehDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA.
Sai MaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia 24061, USA.
Shuo GengDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Zhenning CaoDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia 24061, USA.
Liwu LiDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA.

Funding

Probing dynamics in protein-DNA interactions during disease development using sinR01EB017235 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2014 to 2017
$1.3M
Sensitive and integrated microfluidic ChIP assays for studying transcriptional reR21CA174577 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2013 to 2015
$697k
3D micro-addressable tissue models to understand spatiotemporal heterogeneity in transcriptional regulationR21EB019123 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI VERBRIDGE, SCOTT S · 2014 to 2015
$406k
NCI NIH HHS R21 CA174577NIBIB NIH HHS R01 EB017235NIBIB NIH HHS R21 EB019123
6 · The paper itself

Abstract

Isolating tumor initiating cells (TICs) often requires screening of multiple surface markers, sometimes with opposite preferences. This creates a challenge for using bead-based immunomagnetic separation (IMS) that typically enriches cells based on one abundant marker. Here, we propose a new strategy that allows isolation of CD44

Indexed as

Immunomagnetic SeparationAntigens, SurfaceBiomarkersCD24 AntigenCell Line, TumorCell SurvivalFlow CytometryHumansHyaluronan ReceptorsImmunophenotypingNeoplastic Stem CellsAntigens, SurfaceBiomarkersCD24 AntigenCD44 protein, humanHyaluronan Receptors

Identifiers

PMID28074882
PMCPMC5225414

What OpenQuestion holds

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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.