Evidence map›Paper›PMID 35877103›Full record

ArticleCellular reprogramming2022

Chemical Replacement of Noggin with Dorsomorphin Homolog 1 for Cost-Effective Direct Neuronal Conversion.

Lena Böhnke, Lucia Zhou-Yang, Silvia Pelucchi, Flora Kogler, Daniela Frantal, Florian Schön, Stina Lagerström, Oliver Borgogno, Jennifer Baltazar, Joseph R Herdy and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cellular reprogramming, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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

13 authors at 4 institutions in 3 countries.

Lena BöhnkeNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.ORCID 0000-0002-8614-6603
Lucia Zhou-YangNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Silvia PelucchiNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Flora KoglerNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Daniela FrantalNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Florian SchönNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Stina LagerströmNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Oliver BorgognoNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Jennifer BaltazarNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Joseph R HerdyNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Sarah Kittel-SchneiderCenter of Mental Health, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, Würzburg, Bavaria, Germany.
Michaela DefrancescoDivision of Psychiatry I, Department of Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Tyrol, Austria.
Jerome MertensNeural Aging Laboratory, Institute of Molecular Biology, CMBI, University of Innsbruck, Innsbruck, Tyrol, Austria.
Universität Innsbruck · ATSalk Institute for Biological Studies · USInnsbruck Medical University · ATUniversitätsklinikum Würzburg · DE

Funding

Austrian Science Fund FWF I 5057
6 · The paper itself

Abstract

The direct conversion of adult human skin fibroblasts (FBs) into induced neurons (iNs) represents a useful technology to generate donor-specific adult-like human neurons. Disease modeling studies rely on the consistently efficient conversion of relatively large cohorts of FBs. Despite the identification of several small molecular enhancers, high-yield protocols still demand addition of recombinant Noggin. To identify a replacement to circumvent the technical and economic challenges associated with Noggin, we assessed dynamic gene expression trajectories of transforming growth factor-β signaling during FB-to-iN conversion. We identified ALK2 (ACVR1) of the bone morphogenic protein branch to possess the highest initial transcript abundance in FBs and the steepest decline during successful neuronal conversion. We thus assessed the efficacy of dorsomorphin homolog 1 (DMH1), a highly selective ALK2-inhibitor, for its potential to replace Noggin. Conversion media containing DMH1 (+DMH1) indeed enhanced conversion efficiencies over basic SMAD inhibition (tSMADi), yielding similar βIII-tubulin (TUBB3) purities as conversion media containing Noggin (+Noggin). Furthermore, +DMH1 induced high yields of iNs with clear neuronal morphologies that are positive for the mature neuronal marker NeuN. Validation of +DMH1 for iN conversion of FBs from 15 adult human donors further demonstrates that Noggin-free conversion consistently yields iN cultures that display high βIII-tubulin numbers with synaptic structures and basic spontaneous neuronal activity at a third of the cost.

Indexed as

NeuronsPyrazolesPyrimidinesTubulinCarrier ProteinsHumansNoggin ProteinTransforming Growth FactorsCarrier ProteinsdorsomorphinNoggin ProteinPyrazolesPyrimidinesTransforming Growth FactorsTubulinculture mediadirect conversionDMH1induced neuronsNoggin

Identifiers

PMID35877103
PMCPMC9587801
OpenAlexW4287448028

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.