Evidence map›Paper›PMID 36371462›Full record

ArticleCommunications biology2022

High throughput 3D gel-based neural organotypic model for cellular assays using fluorescence biosensors.

Srikanya Kundu, Molly E Boutin, Caroline E Strong, Ty Voss, Marc Ferrer

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. A bioprinted model of pregnant human uterine myometrium.Frontiers in bioengineering and biotechnology · 2025
    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

5 authors at 1 institution in 1 country.

Srikanya Kundu3D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA.ORCID 0000-0002-5489-7058
Molly E Boutin3D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA.
Caroline E Strong3D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA.
Ty Voss3D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA.
Marc Ferrer3D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA. marc.ferrer@nih.gov.ORCID 0000-0003-4569-9137
National Center for Advancing Translational Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) organotypic models that capture native-like physiological features of tissues are being pursued as clinically predictive assays for therapeutics development. A range of these models are being developed to mimic brain morphology, physiology, and pathology of neurological diseases. Biofabrication of 3D gel-based cellular systems is emerging as a versatile technology to produce spatially and cell-type tailored, physiologically complex and native-like tissue models. Here we produce 3D fibrin gel-based functional neural co-culture models with human-iPSC differentiated dopaminergic or glutamatergic neurons and astrocytes. We further introduce genetically encoded fluorescence biosensors and optogenetics activation for real time functional measurements of intracellular calcium and levels of dopamine and glutamate neurotransmitters, in a high-throughput compatible plate format. We use pharmacological perturbations to demonstrate that the drug responses of 3D gel-based neural models are like those expected from in-vivo data, and in some cases, in contrast to those observed in the equivalent 2D neural models.

Indexed as

Biosensing TechniquesInduced Pluripotent Stem CellsCell DifferentiationCoculture TechniquesHumansNeurons

Identifiers

PMID36371462
PMCPMC9653447
OpenAlexW4309046910

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.