Evidence map›Paper›PMID 41807359›Full record

ReviewMicrosystems & nanoengineering2026

Strategies to control cellular spatial organization in microphysiological systems.

Hung Dong Truong, Zhixing Ge, Elgene Chng, Y-Van Tran, Yusheng Zhang, Chwee Teck Lim

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Hung Dong Truong *Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore. hung.truongbme@gmail.com.
Zhixing Ge *Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore.
Elgene ChngDepartment of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore.
Y-Van TranDepartment of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore.
Yusheng ZhangCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, Sichuan, China.
Chwee Teck LimDepartment of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore. ctlim@nus.edu.sg.

Funding

National University of Singapore (NUS) A-8001301-00-00
6 · The paper itself

Abstract

Spatial organization is fundamental to tissue physiology, as it governs how cells migrate, grow, differentiate, and interact within their native environments. In living tissues, cells are positioned within finely tuned microarchitectures defined by chemical gradients, boundaries, and mechanical cues - features that are essential for proper tissue function and homeostasis. Microphysiological systems (MPSs) aim to replicate key aspects of human tissue in vitro, yet without appropriate spatial control, they often fail to reproduce certain aspects of tissue-level organization and function. In this review, we categorize spatial patterning strategies into two main approaches: direct methods, which involve the physical placement of cells or compartments using techniques such as 3D bioprinting, microfluidic compartmentalization, and physical trapping; and indirect methods, which rely on cellular responses to engineered environmental cues, including extracellular matrix (ECM) composition, mechanical gradients, and soluble factor distributions. While direct methods offer precision and reproducibility, indirect strategies more closely reflect natural developmental and self-organizing processes. We discuss how these approaches are applied across diverse biological structures, from cellular interfaces and barrier tissues to dynamic host-microbe systems. Enhancing spatial fidelity in MPSs is essential for recapitulating tissue complexity, and will be key to advancing disease modeling, developmental biology, and drug screening applications.

Identifiers

PMID41807359
PMCPMC12976367

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.