Evidence map›Paper›PMID 42284545›Full record

ReviewACS synthetic biology2026

Nanofluidics for Pioneering Synthetic Biology of Bottom-Up Cell-Free Molecular Systems.

Shiming Wu, Qun Ma, Madoka Takai, Yan Xu

Abstract readReview
In one paragraph

Review in ACS synthetic biology, 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

4 authors.

Shiming WuDepartment of Chemical Engineering, Graduate School of Engineering, Osaka Metropolitan University, Sakai, Osaka 599-8570, Japan.ORCID 0009-0001-6608-9373
Qun MaDepartment of Chemical Engineering, Graduate School of Engineering, Osaka Metropolitan University, Sakai, Osaka 599-8570, Japan.
Madoka TakaiDepartment of Bioengineering, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0002-6238-6717
Yan XuDepartment of Chemical Engineering, Graduate School of Engineering, Osaka Metropolitan University, Sakai, Osaka 599-8570, Japan.ORCID 0000-0002-3728-6431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology via bottom-up assembly is transitioning from stochastic, extract-based cell-free systems toward reconstituted, molecularly defined cell-free molecular systems. Transitioning to molecularly defined systems provides a path to quantitative design; however, the active assembly of these molecular building blocks into ordered spatiotemporal architectures remains a formidable challenge in synthetic biology. In this perspective, we propose nanofluidics as a transformative platform to bridge this gap. By leveraging nanoconfinement effects and precision mass transport, nanofluidics facilitates the active assembly of molecular building blocks into functionally integrated spatiotemporal structures, thereby pioneering the synthetic biology of bottom-up cell-free molecular systems. Specifically, we discuss how nanofluidics enables precise control over fluid dynamics and single-molecule behavior within nanochannels and facilitates molecular active-assembly and tunable interactions of molecular components by engineering design of nanofluidic devices. Furthermore, we highlight key challenges and opportunities using nanofluidics to build next-generation cell-free molecular systems with single-molecule resolution. This perspective provides a strategic roadmap for the synthetic biology of bottom-up cell-free molecular systems.

Indexed as

MicrofluidicsNanotechnologySynthetic BiologyCell-Free SystemMicrofluidic Analytical Techniques

Identifiers

PMID42284545
PMCPMC13386641

What OpenQuestion holds

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Registered trials

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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.