Evidence map›Paper›PMID 41509486›Full record

ArticlebioRxiv : the preprint server for biology2025

Hydrogel array patterning using 3D-printed microfluidic inserts to control cell-cell and cell-ECM interactions.

Matthew D Poskus, Mohammadmahdi Eskandarisani, Ioannis K Zervantonakis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

3 authors.

Matthew D PoskusDepartment of Bioengineering, University of Pittsburgh.ORCID 0000-0003-3633-0987
Mohammadmahdi EskandarisaniDepartment of Bioengineering, University of Pittsburgh.ORCID 0009-0008-0130-6593
Ioannis K ZervantonakisDepartment of Bioengineering, University of Pittsburgh.ORCID 0000-0003-2386-9553

Funding

Cellular Approaches to Tissue Engineering/RegenerationT32EB001026 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W, MONGA, SATDARSHAN SINGH · 2003 to 2024
$5.5M
Macrophage-Fibroblast Communication in Cell Migration and Extracellular Matrix RemodelingR35GM150815 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ioannis Zervantonakis · 2023 to 2026
$1.6M
NIBIB NIH HHS T32 EB001026NIGMS NIH HHS R35 GM150815
6 · The paper itself

Abstract

By shaping biochemical gradients and extracellular matrix cues within the local microenvironment, cellular spatial organization plays a critical role in regulating tissue development, homeostasis, and disease progression. Microfluidic platforms are highly suitable for the study of these cell-cell and cell-matrix interactions as they precisely control cell arrangement and gradients compared to conventional experimental systems. Cells are often embedded within hydrogels to improve physiological relevance by enabling matrix-mediated signaling. However, many designs restrict the number and arrangement of hydrogels or generate gradients in only one dimension, limiting their ability to recapitulate complex tissue architectures. To address this need, we introduce a 3D printed microfluidic insert compatible with microplates that allows patterning of up to ten unique hydrogel arrays in two dimensions and generation of parallel or orthogonal concentration gradients. We first develop a physics-based computational model of hydrogel filling to define design parameters that ensure robust hydrogel patterning. We then establish perpendicular concentration gradients on timescales relevant to biological experiments. Furthermore, we demonstrate high cell viability in our 3D-printed devices and control of fibroblast migration across multiple patterned hydrogels. Finally, we monitor the recruitment of primary human monocyte towards cell-free and fibroblast-seeded 3D collagen matrices. Our microfluidic insert platform is compatible with high-throughput automation workflows and allows for interrogation of spatially variant signals that regulate cell migration and cell-cell signaling in physiologically-relevant 3D microenvironments.

Identifiers

PMID41509486
PMCPMC12776129

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.