Evidence map›Paper›PMID 34582787›Full record

ArticleCell2021

Revisiting astrocyte to neuron conversion with lineage tracing in vivo.

Lei-Lei Wang, Carolina Serrano, Xiaoling Zhong, Shuaipeng Ma, Yuhua Zou, Chun-Li Zhang

Open access · greenAbstract read
In one paragraph

Article in Cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 1 pooled it
20.1field-weighted citation impact, top 1% 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

179 citing papers in PubMed, 1 synthesis or guideline pooled it, 318 citations in OpenAlex.

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119 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lei-Lei WangDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: leilei.wang@utsouthwestern.edu.
Carolina SerranoDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Xiaoling ZhongDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Shuaipeng MaDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Yuhua ZouDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Chun-Li ZhangDepartment of Molecular Biology and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: chun-li.zhang@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

Reprogramming reactive glial cells into functional new neurons after SCIR01NS111776 · NINDS · INDIANA UNIVERSITY INDIANAPOLIS · PI WU, WEI, ZHANG, CHUN-LI · 2020 to 2024
$2.4M
Induced Adult Neurogenesis for Parkinson's DiseaseR01NS092616 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, CHUN-LI · 2016 to 2020
$2.4M
In Vivo Reprogramming of NG2 Glia for NeurogenesisR01NS117065 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, CHUN-LI · 2020 to 2024
$2.1M
Chemical Reprogramming of Traumatic Brain InjuryR01NS099073 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, CHUN-LI · 2017 to 2021
$1.8M
In Vivo Reprogramming of Glial Fate for Spinal Cord RepairR01NS088095 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, CHUN-LI · 2014 to 2018
$1.7M
NINDS NIH HHS R01 NS088095NINDS NIH HHS R01 NS092616NINDS NIH HHS R01 NS099073NINDS NIH HHS R01 NS111776NINDS NIH HHS R01 NS117065
6 · The paper itself

Abstract

In vivo cell fate conversions have emerged as potential regeneration-based therapeutics for injury and disease. Recent studies reported that ectopic expression or knockdown of certain factors can convert resident astrocytes into functional neurons with high efficiency, region specificity, and precise connectivity. However, using stringent lineage tracing in the mouse brain, we show that the presumed astrocyte-converted neurons are actually endogenous neurons. AAV-mediated co-expression of NEUROD1 and a reporter specifically and efficiently induces reporter-labeled neurons. However, these neurons cannot be traced retrospectively to quiescent or reactive astrocytes using lineage-mapping strategies. Instead, through a retrograde labeling approach, our results reveal that endogenous neurons are the source for these viral-reporter-labeled neurons. Similarly, despite efficient knockdown of PTBP1 in vivo, genetically traced resident astrocytes were not converted into neurons. Together, our results highlight the requirement of lineage-tracing strategies, which should be broadly applied to studies of cell fate conversions in vivo.

Indexed as

Cell DifferentiationCell LineageAnimalsAstrocytesBasic Helix-Loop-Helix ProteinsBrainBrain InjuriesCell Line, TumorCellular ReprogrammingDependovirusDown-RegulationGene Expression RegulationGenes, ReporterGlial Fibrillary Acidic ProteinHeterogeneous-Nuclear RibonucleoproteinsHomeodomain ProteinsBasic Helix-Loop-Helix ProteinsCre recombinaseDistal-less homeobox proteinsGlial Fibrillary Acidic ProteinHeterogeneous-Nuclear RibonucleoproteinsHomeodomain ProteinsIntegrasesNeurod1 protein, mousePolypyrimidine Tract-Binding ProteinPtbp1 protein, mouseTranscription FactorsAAVastrocyte-to-neuron conversionCRISPR-CasRxDLX2in vivo reprogramminglineage tracingNEUROD1PAX6PTBP1shRNA

Identifiers

PMID34582787
PMCPMC8526404
OpenAlexW3203538421

What OpenQuestion holds

Textmetadata
LicenceTDM
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.