Evidence map›Paper›PMID 37763886›Full record

ArticleMicromachines2023

High-Frequency Dielectrophoresis Reveals That Distinct Bio-Electric Signatures of Colorectal Cancer Cells Depend on Ploidy and Nuclear Volume.

Josie L Duncan, Mathew Bloomfield, Nathan Swami, Daniela Cimini, Rafael V Davalos

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Josie L DuncanDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-4743-1540
Mathew BloomfieldDepartment of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-1782-081X
Nathan SwamiDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22908, USA.ORCID 0000-0002-0492-1160
Daniela CiminiDepartment of Biological Sciences and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-4082-4894
Rafael V DavalosDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-1503-9509
Virginia Tech · USUniversity of Virginia · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

Combining modeling and experiments to study the evolution of cells with altered ploidyR01GM140042 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CIMINI, DANIELA, SCHMELZ, EVA M. · 2021 to 2024
$1.4M
Understanding how variations in nuclear size after whole genome doubling affect tumorigenesisF31CA271763 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BLOOMFIELD, MATHEW · 2023 to 2024
$85k
NCI NIH HHS F31 CA271763NIGMS NIH HHS R01 GM140042
6 · The paper itself

Abstract

Aneuploidy, or an incorrect chromosome number, is ubiquitous among cancers. Whole-genome duplication, resulting in tetraploidy, often occurs during the evolution of aneuploid tumors. Cancers that evolve through a tetraploid intermediate tend to be highly aneuploid and are associated with poor patient prognosis. The identification and enrichment of tetraploid cells from mixed populations is necessary to understand the role these cells play in cancer progression. Dielectrophoresis (DEP), a label-free electrokinetic technique, can distinguish cells based on their intracellular properties when stimulated above 10 MHz, but DEP has not been shown to distinguish tetraploid and/or aneuploid cancer cells from mixed tumor cell populations. Here, we used high-frequency DEP to distinguish cell subpopulations that differ in ploidy and nuclear size under flow conditions. We used impedance analysis to quantify the level of voltage decay at high frequencies and its impact on the DEP force acting on the cell. High-frequency DEP distinguished diploid cells from tetraploid clones due to their size and intracellular composition at frequencies above 40 MHz. Our findings demonstrate that high-frequency DEP can be a useful tool for identifying and distinguishing subpopulations with nuclear differences to determine their roles in disease progression.

Indexed as

aneuploidyelectrokineticsmicrofluidics

Identifiers

PMID37763886
PMCPMC10535145
OpenAlexW4386380206

What OpenQuestion holds

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LicenceCC BY
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.