Evidence map›Paper›PMID 31983266›Full record

ArticleSLAS technology2020

Pairing Microwell Arrays with an Affordable, Semiautomated Single-Cell Aspirator for the Interrogation of Circulating Tumor Cell Heterogeneity.

Jacob J Tokar, Charlotte N Stahlfeld, Jamie M Sperger, David J Niles, David J Beebe, Joshua M Lang, Jay W Warrick

Open access · bronzeAbstract read
In one paragraph

Article in SLAS technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Jacob J TokarDepartment of Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, USA.ORCID 0000-0002-5752-7685
Charlotte N StahlfeldUW Carbone Cancer Center, University of Wisconsin, Madison, Madison, WI, USA.ORCID 0000-0002-6433-3117
Jamie M SpergerDepartment of Medicine, University of Wisconsin, Madison, Madison, WI, USA.
David J NilesDepartment of Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, USA.
David J BeebeDepartment of Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, USA.
Joshua M LangUW Carbone Cancer Center, University of Wisconsin, Madison, Madison, WI, USA.
Jay W WarrickDepartment of Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
VERSA: An Integrated, Multi-Endpoint Platform for Circulating Tumor Cell AnalysisR01CA181648 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BERRY, SCOTT M, LANG, JOSHUA MICHAEL · 2014 to 2018
$1.6M
Microchannel cell-based assays to enable cancer researchR33CA137673 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J · 2009 to 2011
$1.4M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA181648NCI NIH HHS R33 CA137673
6 · The paper itself

Abstract

Comprehensive analysis of tumor heterogeneity requires robust methods for the isolation and analysis of single cells from patient samples. An ideal approach would be fully compatible with downstream analytic methods, such as advanced genomic testing. These endpoints necessitate the use of live cells at high purity. A multitude of microfluidic circulating tumor cell (CTC) enrichment technologies exist, but many of those perform bulk sample enrichment and are not, on their own, capable of single-cell interrogation. To address this, we developed an affordable semiautomated single-cell aspirator (SASCA) to further enrich rare-cell populations from a specialized microwell array, per their phenotypic markers. Immobilization of cells within microwells, integrated with a real-time image processing software, facilitates the detection and precise isolation of targeted cells that have been optimally seeded into the microwells. Here, we demonstrate the platform capabilities through the aspiration of target cells from an impure background population, where we obtain purity levels of 90%-100% and demonstrate the enrichment of the target population with high-quality RNA extraction. A range of low cell numbers were aspirated using SASCA before undergoing whole transcriptome and genome analysis, exhibiting the ability to obtain endpoints from low-template inputs. Lastly, CTCs from patients with castration-resistant prostate cancer were isolated with this platform and the utility of this method was confirmed for rare-cell isolation. SASCA satisfies a need for an affordable option to isolate single cells or highly purified subpopulations of cells to probe complex mechanisms driving disease progression and resistance in patients with cancer.

Indexed as

AutomationCell CountCell Line, TumorHumansMaleMicrofluidicsNeoplastic Cells, CirculatingProbabilityProstatic Neoplasms, Castration-ResistantSingle-Cell Analysisautomationcirculating tumor cellsmicrowell arraysingle celltranscriptomics

Identifiers

PMID31983266
PMCPMC8879417
OpenAlexW3002603879

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.