Evidence map›Paper›PMID 25648195›Full record

ArticleLab on a chip2015

A cell-based sensor of fluid shear stress for microfluidics.

Sarvesh Varma, Joel Voldman

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2015. 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
2.5field-weighted citation impact, top 11% 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, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Novel, low-cost bioreactor forFrontiers in bioengineering and biotechnology · 2025
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  5. Review
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  8. Toward three-dimensionalNeural regeneration research · 2021
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Sarvesh VarmaDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, USA. voldman@mit.edu.
Joel Voldman
Massachusetts Institute of Technology · US

Funding

Cell-based sensors for measuring impact of microsystems on cell physiologyR01GM090194 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI VOLDMAN, JOEL · 2010 to 2013
$1.4M
NIGMS NIH HHS GM090194NIGMS NIH HHS R01 GM090194
6 · The paper itself

Abstract

Microsystems designed for cell-based studies or applications inherently require fluid handling. Flows within such systems inevitably generate fluid shear stress (FSS) that may adversely affect cell health. Simple assays of cell viability, morphology or growth are typically reported to indicate any gross disturbances to cell physiology. However, no straightforward metric exists to specifically evaluate physiological implications of FSS within microfluidic devices, or among competing microfluidic technologies. This paper presents the first genetically encoded cell sensors that fluoresce in a quantitative fashion upon FSS pathway activation. We picked a widely used cell line (NIH3T3s) and created a transcriptional cell-sensor where fluorescence turns on when transcription of a relevant FSS-induced protein is initiated. Specifically, we chose Early Growth Factor-1 (a mechanosensitive protein) upregulation as the node for FSS detection. We verified our sensor pathway specificity and functionality by noting induced fluorescence in response to chemical induction of the FSS pathway, seen both through microscopy and flow cytometry. Importantly, we found our cell sensors to be inducible by a range of FSS intensities and durations, with a limit of detection of 2 dynes cm(-2) when applied for 30 minutes. Additionally, our cell-sensors proved their versatility by showing induction sensitivity when made to flow through an inertial microfluidic device environment with typical flow conditions. We anticipate these cell sensors to have wide application in the microsystems community, allowing the device designer to engineer systems with acceptable FSS, and enabling the end-user to evaluate the impact of FSS upon their assay of interest.

Indexed as

Lab-On-A-Chip DevicesShear StrengthStress, MechanicalAnimalsBiosensing TechniquesEarly Growth Response Protein 1FlavonoidsMiceNIH 3T3 CellsTetradecanoylphorbol AcetateUp-Regulation2-(2-amino-3-methoxyphenyl)-4H-1-benzopyran-4-oneEarly Growth Response Protein 1EGR1 protein, humanFlavonoidsTetradecanoylphorbol Acetate

Identifiers

PMID25648195
PMCPMC4443851
OpenAlexW2119877750

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.