Evidence map›Paper›PMID 27411950›Full record

ArticleNanoscale2016

Directing lineage specification of human mesenchymal stem cells by decoupling electrical stimulation and physical patterning on unmodified graphene.

Daniel A Balikov, Brian Fang, Young Wook Chun, Spencer W Crowder, Dhiraj Prasai, Jung Bok Lee, Kiril I Bolotin, Hak-Joon Sung

Abstract read
In one paragraph

Article in Nanoscale, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  3. Article
  4. Article
  5. Electrostrategies in orthopaedic research.Biomaterials translational · 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

8 authors.

Daniel A BalikovDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu.
Brian FangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu and Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA. kirill.bolotin@vanderbilt.edu.
Young Wook ChunDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu and Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Spencer W CrowderDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu.
Dhiraj PrasaiDepartment of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA. kirill.bolotin@vanderbilt.edu.
Jung Bok LeeDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu.
Kiril I BolotinDepartment of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA. kirill.bolotin@vanderbilt.edu.
Hak-Joon SungDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. hak-joon.sung@vanderbilt.edu and Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA and Severance Biomedical Science Institute, College of Medicine, Yonsei University, Seoul, Republic of Korea.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Thermosensitive injectable polymer-based stem cell therapy for limb ischemiaR21EB019509 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SUNG, HAK-JOON, YOUNG, PAMPEE P · 2015 to 2016
$433k
NIBIB NIH HHS R21 EB019509NIGMS NIH HHS T32 GM007347
6 · The paper itself

Abstract

The organization and composition of the extracellular matrix (ECM) have been shown to impact the propagation of electrical signals in multiple tissue types. To date, many studies with electroactive biomaterial substrates have relied upon passive electrical stimulation of the ionic media to affect cell behavior. However, development of cell culture systems in which stimulation can be directly applied to the material - thereby isolating the signal to the cell-material interface and cell-cell contracts - would provide a more physiologically-relevant paradigm for investigating how electrical cues modulate lineage-specific stem cell differentiation. In the present study, we have employed unmodified, directly-stimulated, (un)patterned graphene as a cell culture substrate to investigate how extrinsic electrical cycling influences the differentiation of naïve human mesenchymal stem cells (hMSCs) without the bias of exogenous biochemicals. We first demonstrated that cyclic stimulation does not deteriorate the cell culture media or result in cytotoxic pH, which are critical experiments for correct interpretation of changes in cell behavior. We then measured how the expression of osteogenic and neurogenic lineage-specific markers were altered simply by exposure to electrical stimulation and/or physical patterns. Expression of the early osteogenic transcription factor RUNX2 was increased by electrical stimulation on all graphene substrates, but the mature marker osteopontin was only modulated when stimulation was combined with physical patterns. In contrast, the expression of the neurogenic markers MAP2 and β3-tubulin were enhanced in all electrical stimulation conditions, and were less responsive to the presence of patterns. These data indicate that specific combinations of non-biological inputs - material type, electrical stimulation, physical patterns - can regulate hMSC lineage specification. This study represents a substantial step in understanding how the interplay of electrophysical stimuli regulate stem cell behavior and helps to clarify the potential for graphene substrates in tissue engineering applications.

Identifiers

PMID27411950
PMCPMC4959833

What OpenQuestion holds

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Registered trials

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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.