Evidence map›Paper›PMID 42171042›Full record

ArticleLab on a chip2026

A parametric study of mechanoporation through microfluidic design to modulate shear, compressive, and adhesion forces and loading rates.

Avi Gupta, Jacqueline Van Zyl, Collin Bushey, Peter Shankles, Hoseyn A Amiri, Guillem Pratx, Alexander Alexeev, Todd Sulchek

Abstract read
In one paragraph

Article in Lab on a chip, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Avi GuptaSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-8880-8589
Jacqueline Van ZylGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. todd.sulchek@me.gatech.edu.ORCID http://orcid.org/0009-0003-5905-7474
Collin BusheyWallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Peter ShanklesGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. todd.sulchek@me.gatech.edu.
Hoseyn A AmiriGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. todd.sulchek@me.gatech.edu.
Guillem PratxRadiation Oncology - Radiation Physics, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-0247-6470
Alexander AlexeevGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. todd.sulchek@me.gatech.edu.ORCID http://orcid.org/0000-0002-8285-0003
Todd SulchekGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. todd.sulchek@me.gatech.edu.ORCID http://orcid.org/0000-0002-3199-7670

Funding

New tools for tracking single cells in vivoR01EB030367 · NIBIB · STANFORD UNIVERSITY · PI PRATX, GUILLEM, SPRIET, MATHIEU · 2020 to 2024
$2.4M
Microfluidics to explore ultrafast cell deformations to deliver large cargo via convective transportR01GM144727 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI SULCHEK, TODD · 2022 to 2025
$1.2M
NIBIB NIH HHS R01 EB030367NIGMS NIH HHS R01 GM144727
6 · The paper itself

Abstract

Efficient and reproducible intracellular delivery is critical for manufacturing next generation cell therapies. Mechanoporation employs mechanical forces, including shear loading, adhesion, and compressive strain, to transiently permeabilize cell membranes and enable cargo transport. However, the influence of microsecond-scale unsteady forces and the origins of variability in delivery and viability remain insufficiently characterized. Here, we performed a parametric investigation of microfluidic mechanoporation using parallelized channel designs of varied widths to systematically modulate pre-compression shear loading and strain rates under constant volumetric flow. Narrow channels were found to promote a more uniform pre-constriction loading and compressive dynamics, leading to improved reproducibility of delivery outcomes. High-speed video analysis revealed greater cell focusing and computational fluid dynamics (CFD) confirmed higher pre-constriction shear loading rates and higher asymmetric biaxial forces prior to ridges, yielding a substantial improvement in delivery efficiency in both adherent B16F10 melanoma cells and suspended T-cells. Modulating cell-surface adhesion by adjusting surface chemistry showed that adhesive coatings slightly increase delivery efficiency at the expense of viability. Changing cell stiffness with pharmacological softening caused a decline in delivery efficiency. These trends indicate that mechanoporation outcomes are governed more strongly by the kinetics of loading dictated by fluid-driven acceleration and strain rate rather than by absolute strain or adhesion magnitude. Principal component and multivariate analyses identified two significant predictors of delivery and viability: strain rate and Basset-Boussinesq history (BBH) forces. Both predictors were consistently elevated in narrow multichannel architectures that showed higher delivery and lower viability. Together, these findings demonstrate that narrow channel designs establish a geometry-driven acceleration regime characterized by elevated strain rates and BBH forces that enhances delivery efficiency while imposing a viability tradeoff.

Indexed as

Microfluidic Analytical TechniquesAnimalsCell AdhesionCell Line, TumorCell SurvivalEquipment DesignHydrodynamicsMiceShear StrengthStress, Mechanical

Identifiers

PMID42171042
PMCPMC13208450

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.