↓ Skip to main content

Dielectrophoretic Capture and Genetic Analysis of Single Neuroblastoma Tumor Cells

Overview of attention for article published in Frontiers in oncology, July 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dielectrophoretic Capture and Genetic Analysis of Single Neuroblastoma Tumor Cells
Published in
Frontiers in oncology, July 2014
DOI 10.3389/fonc.2014.00201
Pubmed ID
Authors

Erica L. Carpenter, JulieAnn Rader, Jacob Ruden, Eric F. Rappaport, Kristen N. Hunter, Paul L. Hallberg, Kate Krytska, Peter J. O’Dwyer, Yael P. Mosse

Abstract

Our understanding of the diversity of cells that escape the primary tumor and seed micrometastases remains rudimentary, and approaches for studying circulating and disseminated tumor cells have been limited by low throughput and sensitivity, reliance on single parameter sorting, and a focus on enumeration rather than phenotypic and genetic characterization. Here, we utilize a highly sensitive microfluidic and dielectrophoretic approach for the isolation and genetic analysis of individual tumor cells. We employed fluorescence labeling to isolate 208 single cells from spiking experiments conducted with 11 cell lines, including 8 neuroblastoma cell lines, and achieved a capture sensitivity of 1 tumor cell per 10(6) white blood cells (WBCs). Sample fixation or freezing had no detectable effect on cell capture. Point mutations were accurately detected in the whole genome amplification product of captured single tumor cells but not in negative control WBCs. We applied this approach to capture 144 single tumor cells from 10 bone marrow samples of patients suffering from neuroblastoma. In this pediatric malignancy, high-risk patients often exhibit wide-spread hematogenous metastasis, but access to primary tumor can be difficult or impossible. Here, we used flow-based sorting to pre-enrich samples with tumor involvement below 0.02%. For all patients for whom a mutation in the Anaplastic Lymphoma Kinase gene had already been detected in their primary tumor, the same mutation was detected in single cells from their marrow. These findings demonstrate a novel, non-invasive, and adaptable method for the capture and genetic analysis of single tumor cells from cancer patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Student > Bachelor 10 17%
Researcher 9 15%
Other 4 7%
Student > Master 4 7%
Other 6 10%
Unknown 10 17%
Readers by discipline Count As %
Medicine and Dentistry 10 17%
Engineering 10 17%
Biochemistry, Genetics and Molecular Biology 9 15%
Agricultural and Biological Sciences 8 13%
Physics and Astronomy 2 3%
Other 9 15%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Frontiers in oncology
#11,313
of 22,416 outputs
Outputs of similar age
#174,784
of 239,357 outputs
Outputs of similar age from Frontiers in oncology
#51
of 92 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.