Evidence map›Paper›PMID 34641840›Full record

ArticleBMC biotechnology2021

Effects of early geometric confinement on the transcriptomic profile of human cerebral organoids.

Dilara Sen, Alexis Voulgaropoulos, Albert J Keung

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. 3D Hydrogel Encapsulation Regulates Nephrogenesis in Kidney Organoids.Advanced materials (Deerfield Beach, Fla.) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Harnessing mechanobiology for kidney organoid research.Frontiers in cell and developmental biology · 2023
    Review
  11. Organoid Cultures In Silico: Tools or Toys?Bioengineering (Basel, Switzerland) · 2022
    Review
  12. Review
  13. Collective behaviours in organoids.Current opinion in cell biology · 2021
    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

3 authors at 1 institution in 1 country.

Dilara Sen *Department of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA.ORCID 0000-0001-5037-3014
Alexis Voulgaropoulos *Department of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA.
Albert J KeungDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA. ajkeung@ncsu.edu.ORCID 0000-0001-8958-1232
North Carolina State University · US

Funding

The Epigenome in Substance Abuse Disorders: Engineering New Tools to Dissect Function from FormDP1DA044359 · NIDA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KEUNG, ALBERT · 2017 to 2021
$2.7M
NIDA NIH HHS DP1 DA044359
6 · The paper itself

Abstract

backgroundHuman cerebral organoids (hCO) are attractive systems due to their ability to model important brain regions and transcriptomics of early in vivo brain development. To date, they have been used to understand the effects of genetics and soluble factors on neurodevelopment. Interestingly, one of the main advantages of hCOs are that they provide three dimensionality that better mimics the in vivo environment; yet, despite this central feature it remains unclear how spatial and mechanical properties regulate hCO and neurodevelopment. While biophysical factors such as shape and mechanical forces are known to play crucial roles in stem cell differentiation, embryogenesis and neurodevelopment, much of this work investigated two dimensional systems or relied on correlative observations of native developing tissues in three dimensions. Using hCOs to establish links between spatial factors and neurodevelopment will require the use of new approaches and could reveal fundamental principles of brain organogenesis as well as improve hCOs as an experimental model.

resultsHere, we investigated the effects of early geometric confinements on transcriptomic changes during hCO differentiation. Using a custom and tunable agarose microwell platform we generated embryoid bodies (EB) of diverse shapes mimicking several structures from embryogenesis and neurodevelopment and then further differentiated those EBs to whole brain hCOs. Our results showed that the microwells did not have negative gross impacts on the ability of the hCOs to differentiate towards neural fates, and there were clear shape dependent effects on neural lineage specification. In particular we observed that non-spherical shapes showed signs of altered neurodevelopmental kinetics and favored the development of medial ganglionic eminence-associated brain regions and cell types over cortical regions. Transcriptomic analysis suggests these mechanotransducive effects may be mediated by integrin and Wnt signaling.

conclusionsThe findings presented here suggest a role for spatial factors in brain region specification during hCO development. Understanding these spatial patterning factors will not only improve understanding of in vivo development and differentiation, but also provide important handles with which to advance and improve control over human model systems for in vitro applications.

Indexed as

OrganoidsTranscriptomeBrainCell DifferentiationGene Expression ProfilingHumansAgarose microwellsHuman cerebral organoidsMechanobiologyMicrofabricationNeurodevelopmentRNAseq

Identifiers

PMID34641840
PMCPMC8507123
OpenAlexW3205030085

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.