Evidence map›Paper›PMID 36805690›Full record

ArticleScientific reports2023

Higher throughput workflow with sensitive, reliable and automatic quantification of myelination in vitro suitable for drug screening.

Sybille Seiler, Ciril Marius Wälti, Vanessa de Barros, Shahar Barbash, Lynette C Foo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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 2 institutions in 2 countries.

Sybille SeilerpRED, Neuroscience, Discovery and Translational Area (NRD), F. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland. sybille.seiler@roche.com.
Ciril Marius WältipRED, Neuroscience, Discovery and Translational Area (NRD), F. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland.
Vanessa de BarrospRED, Neuroscience, Discovery and Translational Area (NRD), F. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland.
Shahar BarbashQuantified Biology, Cornell Tech, New York, NY, 10044, USA.
Lynette C FoopRED, Neuroscience, Discovery and Translational Area (NRD), F. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland. lynette.foo@roche.com.ORCID 0000-0001-6351-8374
Roche (Switzerland) · CHCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is the most common demyelinating autoimmune disease of the central nervous system (CNS). Immune-mediated myelin and axonal damage that is accompanied by chronic axonal loss causing destruction of the myelin sheaths are hallmarks of MS. While great strides have been made in understanding the molecular underpinnings of re-/myelination, currently no remyelination therapy is available for MS. As myelination is a complex process that is not fully understood, we sought to develop a systematic, reliable, automated and quantitative higher throughput screening method. We aimed to quantitate myelin sheaths in vitro with high sensitivity at the single cell level suitable for testing small compound libraries. To this end, we miniaturised in vitro retinal ganglion cell-oligodendrocyte precursor cell (RGC-OPC) co-cultures into a multi-well plate format. This allowed us to maintain the reciprocal interaction of live axons and oligodendrocytes (OLs) to ensure compact myelin formation. To quantify our co-cultures, we developed a novel computer vision algorithm to precisely measure myelination. We demonstrated efficacy of our system with known pro-differentiating compounds BQ3020 and XAV939 which exhibited robust, efficient, and dose dependent effects on myelination. Through this combination of experimental and technical advances, we have developed a method allowing systematic and reliable testing of remyelinating compound efficacy.

Indexed as

Multiple SclerosisMyelin SheathAlgorithmsAxonsDrug Evaluation, PreclinicalHumansWorkflow

Identifiers

PMID36805690
PMCPMC9938858
OpenAlexW4321331756

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.