Evidence map›Paper›PMID 40808793›Full record

ArticleAdvanced functional materials2025

Rapid and Controllable Multilayer Cell Sheet Assembly via Biodegradable Nanochannel Membranes.

Letao Yang, Christopher Rathnam, Yannan Hou, Misaal Patel, Li Cai, KiBum Lee

Abstract read
In one paragraph

Article in Advanced functional materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Nanozyme-based therapies for inflammatory immune disorders: opportunities and challenges.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  4. Review
  5. 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.

Letao YangFrontier Science Center for Stem Cell Research, School of Life Science and Technology, Tongji University, Shanghai, 200095, China, School of Life Science and Technologies, Tongji University, Shanghai, 200065, China.
Christopher RathnamDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Yannan HouDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Misaal PatelDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Li CaiDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
KiBum LeeDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

Funding

Targeting Cell-Type Specific Disease Phenotypes to Promote CNS RepairRM1NS133003 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI NAGI G AYAD, Jae K Lee · 2023 to 2026
$4.8M
Rutgers Optimizes Innovation (ROI) ProgramU01HL150852 · NHLBI · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI LIBUTTI, STEVEN K., PANETTIERI, REYNOLD ALEXANDER · 2019 to 2022
$4.4M
Machine learning-enabled Comparative Transcriptomic Profiling to Validate NanoScript-induced Inner Ear Hair CellsR01DC016612 · NIDCD · RUTGERS, THE STATE UNIV OF N.J. · PI KWAN, KELVIN Y., LEE, KIBUM · 2018 to 2022
$2.8M
Injectable Hybrid SMART Spheroids to Enhance Stem Cell Therapy for CNS InjuriesR01NS130836 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI Kibum Lee · 2023 to 2026
$1.3M
Investigating mitochondrial dysfunction in neurodegeneration using A Nanoparticle-based Synthetic Mitochondrial DNA (mtDNA) Transcription RegulatorR21NS132556 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM · 2023 to 2024
$390k
Nanoparticle-based synthetic transcription factor to induce stem cell myogenesisR21AR071101 · NIAMS · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM · 2017 to 2018
$371k
NHLBI NIH HHS U01 HL150852NIAMS NIH HHS R21 AR071101NIDCD NIH HHS R01 DC016612NINDS NIH HHS R01 NS130836NINDS NIH HHS R21 NS132556NINDS NIH HHS RM1 NS133003
6 · The paper itself

Abstract

The ability to precisely arrange and control the assembly of diverse cell types into intricate three-dimensional (3D) structures remains a critical challenge in tissue engineering. Herein, we describe a versatile and programmable 3D cell sheet assembly technology by developing biodegradable nanochannel (BNC) membrane to fulfill this unmet need. This membrane, hierarchically assembled from two-dimensional nanomaterial aggregates, exhibits both exceptional fluid permeability and rapid biodegradation under physiological conditions. The unique properties of the BNC membrane enable precise spatial and temporal control over cell assembly, facilitating the creation of complex 3D cellular architectures. The BNC membrane was integrated with a programmable negative-pressure-based cell assembly strategy to form single and multi-cellular 3D sheets in a highly controllable manner. To demonstrate the feasibility and translatability of this technology in the field of tissue engineering, we devised approaches to screen stem cell-derived therapeutics with "core-shell" macrophage-fibroblast multi-cellular patterns and treat murine diabetic skin wounds via scaffold-free 3D adipose-derived mesenchymal stem cell (ADMSC) sheets. In summary, our results demonstrate that the BNC membrane-based 3D cell sheet assembly approach significantly advances current tissue engineering capabilities, offering substantial potential for both regenerative medicine applications and the development of physiologically relevant disease models.

Indexed as

Biodegradable Nanochannel MembraneCell AssemblyCell Sheet EngineeringMulticellular ConstructsStem Cell TherapyTissue EngineeringWound Healing

Identifiers

PMID40808793
PMCPMC12341666

What OpenQuestion holds

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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.