Evidence map›Paper›PMID 33445654›Full record

ArticleCells2021

Single-Cell Profiling of Coding and Noncoding Genes in Human Dopamine Neuron Differentiation.

Fredrik Nilsson, Petter Storm, Edoardo Sozzi, David Hidalgo Gil, Marcella Birtele, Yogita Sharma, Malin Parmar, Alessandro Fiorenzano

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  6. Article
  7. TARGET-seq: Linking single-cell transcriptomics of human dopaminergic neurons with their target specificity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  9. Article
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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

8 authors at 1 institution in 1 country.

Fredrik NilssonDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
Petter StormDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
Edoardo SozziDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
David Hidalgo GilDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
Marcella BirteleDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
Yogita SharmaDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.
Malin ParmarDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.ORCID 0000-0001-5002-4199
Alessandro FiorenzanoDevelopmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Centre, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden.ORCID 0000-0003-2478-5941
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dopaminergic (DA) neurons derived from human pluripotent stem cells (hPSCs) represent a renewable and available source of cells useful for understanding development, developing disease models, and stem-cell therapies for Parkinson's disease (PD). To assess the utility of stem cell cultures as an in vitro model system of human DA neurogenesis, we performed high-throughput transcriptional profiling of ~20,000 ventral midbrain (VM)-patterned stem cells at different stages of maturation using droplet-based single-cell RNA sequencing (scRNAseq). Using this dataset, we defined the cellular composition of human VM cultures at different timepoints and found high purity DA progenitor formation at an early stage of differentiation. DA neurons sharing similar molecular identities to those found in authentic DA neurons derived from human fetal VM were the major cell type after two months in culture. We also developed a bioinformatic pipeline that provided a comprehensive long noncoding RNA landscape based on temporal and cell-type specificity, which may contribute to unraveling the intricate regulatory network of coding and noncoding genes in DA neuron differentiation. Our findings serve as a valuable resource to elucidate the molecular steps of development, maturation, and function of human DA neurons, and to identify novel candidate coding and noncoding genes driving specification of progenitors into functionally mature DA neurons.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisCell DifferentiationDopaminergic NeuronsFibroblast Growth Factor 8Gene Expression RegulationGenomicsHumansMesencephalonOpen Reading FramesPluripotent Stem CellsRNA, Long NoncodingRNA-SeqFibroblast Growth Factor 8RNA, Long Noncodingdopamine neuron differentiationhuman pluripotent stem cellssingle-cell RNA sequencing

Identifiers

PMID33445654
PMCPMC7827700
OpenAlexW3118525033

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.