Evidence map›Paper›PMID 32821815›Full record

ArticleScience advances2020

High-throughput 3D screening for differentiation of hPSC-derived cell therapy candidates.

Riya Muckom, Xiaoping Bao, Eric Tran, Evelyn Chen, Abirami Murugappan, Jonathan S Dordick, Douglas S Clark, David V Schaffer

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Riya MuckomDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0001-6290-7714
Xiaoping BaoDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-0955-6868
Eric TranDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.
Evelyn ChenDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-1102-6997
Abirami MurugappanDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.
Jonathan S DordickDepartment of Chemical and Biomolecular Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
Douglas S ClarkDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-1516-035X
David V SchafferDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0002-9625-0121
University of California, Berkeley · USRensselaer Polytechnic Institute · US

Funding

High-Throughput Platform for Identifying Stem Cell ToxicityR01ES020903 · NIEHS · RENSSELAER POLYTECHNIC INSTITUTE · PI DORDICK, JONATHAN S., SCHAFFER, DAVID V · 2012 to 2015
$2.0M
Automated High-Throughput, High-Content Confocal/Wide-Field Microscope SystemS10OD021828 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI WEST, MARY · 2017 to 2017
$1.0M
NIEHS NIH HHS R01 ES020903NIH HHS S10 OD021828
6 · The paper itself

Abstract

The emergence of several cell therapy candidates in the clinic is an encouraging sign for human diseases/disorders that currently have no effective treatment; however, scalable production of these cell therapies has become a bottleneck. To overcome this barrier, three-dimensional (3D) cell culture strategies have been considered for enhanced cell production. Here, we demonstrate a high-throughput 3D culture platform used to systematically screen 1200 culture conditions with varying doses, durations, dynamics, and combinations of signaling cues to derive oligodendrocyte progenitor cells and midbrain dopaminergic neurons from human pluripotent stem cells (hPSCs). Statistical models of the robust dataset reveal previously unidentified patterns about cell competence to Wnt, retinoic acid, and sonic hedgehog signals, and their interactions, which may offer insights into the combinatorial roles these signals play in human central nervous system development. These insights can be harnessed to optimize production of hPSC-derived cell replacement therapies for a range of neurological indications.

Indexed as

Hedgehog ProteinsPluripotent Stem CellsCell- and Tissue-Based TherapyCell Culture TechniquesCell DifferentiationHedgehog Proteins

Identifiers

PMID32821815
PMCPMC7413735
OpenAlexW3047701204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.