Evidence map›Paper›PMID 30292704›Full record

ArticleCell systems2018

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis.

Lisa K Kutsche, Deisy M Gysi, Joerg Fallmann, Kerstin Lenk, Rebecca Petri, Anka Swiersy, Simon D Klapper, Karolina Pircs, Shahryar Khattak, Peter F Stadler and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 61 citations in OpenAlex.

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  12. Noncoding RNAs improve the predictive power of network medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 2 countries.

Lisa K KutscheTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
Deisy M GysiDepartment of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany; Faculty of Mathematics and Computer Science, Swarm Intelligence and Complex Systems Group, University of Leipzig, Leipzig 04109, Germany; Faculty for Biology, Chemistry and Pharmacy, Freie Universität Berlin, Institute for Biology, Berlin 14195, Germany.
Joerg FallmannDepartment of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany.
Kerstin LenkTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
Rebecca PetriDepartment of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden.
Anka SwiersyTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
Simon D KlapperTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
Karolina PircsDepartment of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden.
Shahryar KhattakTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
Peter F StadlerDepartment of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany; Max Planck Institute for Mathematics in the Sciences, Leipzig 04103, Germany; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.
Johan JakobssonDepartment of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden.
Katja NowickFaculty for Biology, Chemistry and Pharmacy, Freie Universität Berlin, Institute for Biology, Berlin 14195, Germany.
Volker BusskampTechnische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany. Electronic address: volker.busskamp@tu-dresden.de.
TU Dresden · DELeipzig University · DEFreie Universität Berlin · DESanta Fe Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 has been assigned as a key player of neuronal differentiation via its complex but little understood regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human induced pluripotent stem cells. Upon neuronal induction, miR-124-deleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. Using RNA-induced-silencing-complex precipitation, we identified 98 high-confidence miR-124 targets, of which some directly led to decreased viability. By performing advanced transcription-factor-network analysis, we identified indirect miR-124 effects on apoptosis, neuronal subtype differentiation, and the regulation of previously uncharacterized zinc finger transcription factors. Our data emphasize the need for combined experimental- and system-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain.

Indexed as

Gene Regulatory NetworksCells, CulturedHEK293 CellsHumansMicroRNAsNeurogenesisTranscription FactorsMicroRNAsMIRN124 microRNA, humanTranscription FactorsAGO2-RIP-seqgene regulatory network analysismiR-124 targetomemiRNA dynamicsmiRNA regulationmiRNA-transcription factor networksneuronal differentiation from human stem cellsneuronal miRNAssystems biologyZNF787

Identifiers

PMID30292704
PMCPMC6205824
OpenAlexW2895519165

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.