Evidence map›Paper›PMID 23179093›Full record

ArticleLab on a chip2013

Ultra-localized single cell electroporation using silicon nanowires.

Nima Jokilaakso, Eric Salm, Aaron Chen, Larry Millet, Carlos Duarte Guevara, Brian Dorvel, Bobby Reddy, Amelie Eriksson Karlstrom, Yu Chen, Hongmiao Ji and 3 more

Abstract read
In one paragraph

Article in Lab on a chip, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 59 citations in OpenAlex.

  1. Microfluidic Electroporation: Recent Advances and Applications.Advances in experimental medicine and biology · 2026
    Review
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  18. Ultralocalized thermal reactions in subnanoliter droplets-in-air.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

13 authors at 4 institutions in 3 countries.

Nima JokilaaksoDivision of Molecular Biotechnology, Royal Institute of Technology (KTH), Stockholm, Sweden.
Eric Salm
Aaron Chen
Larry Millet
Carlos Duarte Guevara
Brian Dorvel
Bobby Reddy
Amelie Eriksson Karlstrom
Yu Chen
Hongmiao Ji
Yu Chen
Ratnasingham Sooryakumar
Rashid Bashir
University of Illinois Urbana-Champaign · USAgency for Science, Technology and Research · SGKTH Royal Institute of Technology · SEThe Ohio State University · US

Funding

Integrated Biochip Sensors for Detection of CancerR01CA120003 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID · 2008 to 2012
$2.6M
NCI NIH HHS R01 CA120003NCI NIH HHS R01-CA20003
6 · The paper itself

Abstract

Analysis of cell-to-cell variation can further the understanding of intracellular processes and the role of individual cell function within a larger cell population. The ability to precisely lyse single cells can be used to release cellular components to resolve cellular heterogeneity that might be obscured when whole populations are examined. We report a method to position and lyse individual cells on silicon nanowire and nanoribbon biological field effect transistors. In this study, HT-29 cancer cells were positioned on top of transistors by manipulating magnetic beads using external magnetic fields. Ultra-rapid cell lysis was subsequently performed by applying 600-900 mV(pp) at 10 MHz for as little as 2 ms across the transistor channel and the bulk substrate. We show that the fringing electric field at the device surface disrupts the cell membrane, leading to lysis from irreversible electroporation. This methodology allows rapid and simple single cell lysis and analysis with potential applications in medical diagnostics, proteome analysis and developmental biology studies.

Indexed as

NanowiresSiliconElectroporationEquipment DesignHT29 CellsHumansLab-On-A-Chip DevicesNanotechnologyNanotubes, CarbonTransistors, ElectronicNanotubes, CarbonSilicon

Identifiers

PMID23179093
PMCPMC3535553
OpenAlexW2063718976

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.