Evidence map›Paper›PMID 25533343›Full record

ArticleCell reports2014

Conversion of fibroblasts to neural cells by p53 depletion.

Di Zhou, Zhen Zhang, Li-Ming He, Juan Du, Fan Zhang, Chong-Kui Sun, Yu Zhou, Xiao-Wei Wang, Ge Lin, Ke-Ming Song and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Whole-Genome Sequencing of Common Salivary Gland Carcinomas: Subtype-Restricted and Shared Genetic Alterations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Reprogramming glioblastoma multiforme cells into neurons by protein kinase inhibitors.Journal of experimental & clinical cancer research : CR · 2018
    Article
  10. Review
  11. Article
  12. 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

12 authors at 3 institutions in 2 countries.

Di ZhouCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Zhen ZhangSynaptic Transmission Section, NINDS/NIH, Bethesda, MD 20892, USA.
Li-Ming HeSynaptic Transmission Section, NINDS/NIH, Bethesda, MD 20892, USA.
Juan DuCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Fan ZhangCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Chong-Kui SunCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Yu ZhouCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Xiao-Wei WangCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA.
Ge LinInstitute of Reproductive and Stem Cell Engineering, Central South University, Changsha 410078, China.
Ke-Ming SongResearch Biotechnology Business Unit, Sigma-Aldrich Corporation, St. Louis, MO 63103, USA.
Ling-Gang WuSynaptic Transmission Section, NINDS/NIH, Bethesda, MD 20892, USA. Electronic address: wul@ninds.nih.gov.
Qin YangCancer Biology Division, Washington University School of Medicine, Saint Louis, MO 63108, USA. Electronic address: qyang@wustl.edu.
Washington University in St. Louis · USSynaptic Research (United States) · USCentral South University · CN

Funding

Synaptic Vesicle ExocytosisZIANS003009 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI WU, LING GANG · 2009 to 2025
$31.2M
Synaptic Vesicle Exocytosis and EndocytosisZ01NS003009 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI WU, LING GANG · 2004 to 2008
$4.9M
Synaptic inhibition by volatile ansetheticsR01GM065358 · NIGMS · WASHINGTON UNIVERSITY · PI WU, LING-GANG · 2002 to 2003
$450k
Sustained transmitter release during repetitive firingR01DC005200 · NIDCD · WASHINGTON UNIVERSITY · PI WU, LING-GANG · 2001 to 2002
$374k
Intramural NIH HHS Z01 NS003009Intramural NIH HHS Z99 NS999999NIDCD NIH HHS R01 DC005200NIGMS NIH HHS R01 GM065358
6 · The paper itself

Abstract

Conversion from fibroblasts to neurons has recently been successfully induced. However, the underlying mechanisms are poorly understood. Here, we find that depletion of p53 alone converts fibroblasts into all three major neural lineages. The induced neuronal cells express multiple neuron-specific proteins and generate action potentials and transmitter-receptor-mediated currents. Surprisingly, depletion does not affect the well-known tumorigenic p53 target, p21. Instead, knockdown of p53 upregulates neurogenic transcription factors, which in turn boosts fibroblast-neuron conversion. p53 binds the promoter of the neurogenic transcription factor Neurod2 and regulates its expression during fibroblast-neuron conversion. Furthermore, our method provides a high efficiency of conversion in late-passage fibroblasts. Genome-wide transcriptional analysis shows that the p53-deficiency-induced neurons exhibit an expression profile different from parental fibroblasts and similar to control-induced neurons. The results may help to understand and improve neural conversion mechanisms to develop robust neuron-replacement therapy strategies.

Indexed as

NeurogenesisAnimalsBasic Helix-Loop-Helix ProteinsCell LineFibroblastsHumansMiceNeural Stem CellsNeuronsNeuropeptidesTumor Suppressor Protein p53Basic Helix-Loop-Helix ProteinsNEUROD2 protein, humanNeuropeptidesTumor Suppressor Protein p53

Identifiers

PMID25533343
PMCPMC5270413
OpenAlexW2121443022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.