Evidence map›Paper›PMID 35105487›Full record

ReviewTrends in cell biology2022

Next-generation engineered microsystems for cell biology: a systems-level roadmap.

Subramanian Sundaram, Christopher S Chen

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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

2 authors.

Subramanian SundaramBiological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA.
Christopher S ChenBiological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA. Electronic address: chencs@bu.edu.

Funding

Multi-tissue platform for modeling systemic pathologiesUH3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2019 to 2021
$4.0M
Multi-tissue platform for modeling systemic pathologiesUG3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2017 to 2019
$2.8M
NIBIB NIH HHS UG3 EB025765NIBIB NIH HHS UH3 EB025765Wellcome Trust
6 · The paper itself

Abstract

Engineered microsystems for in vitro studies of cultured cells are evolving from simple 2D platforms to 3D architectures and organoid cultures. Despite advances in reproducing ever more sophisticated biology in these systems, there remain foundational challenges in re-creating key aspects of tissue composition, architecture, and mechanics that are critical to recapitulating in vivo processes. Against the backdrop of current progress in 3D fabrication methods, we evaluate the key requirements for the next generation of cellular platforms. We postulate that these future platforms - apart from building tissue-like structures - will need to have the ability to readily sense and autonomously modulate tissue responses over time, as occurs in natural microenvironments. Such interactive robotic platforms that report and guide cellular events will enable us to probe a previously inaccessible class of questions in cell biology.

Indexed as

OrganoidsTissue EngineeringCells, CulturedHumans3D fabricationengineered microsystemssensors and actuatorstissue engineeringtissue microenvironment

Identifiers

PMID35105487
PMCPMC9106832

What OpenQuestion holds

Textmetadata
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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.