Evidence map›Paper›PMID 32852886›Full record

ArticleEMBO reports2020

Loss of TMEM106B and PGRN leads to severe lysosomal abnormalities and neurodegeneration in mice.

Tuancheng Feng, Shuyi Mai, Jenn Marie Roscoe, Rory R Sheng, Mohammed Ullah, Junke Zhang, Isabel Iscol Katz, Haiyuan Yu, Wenjun Xiong, Fenghua Hu

Open access · hybridAbstract read
In one paragraph

Article in EMBO reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
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  7. Article
  8. Article
  9. Analyses of plasma multi-omic data across ancestries identify novel pathways implicated in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Review
  12. Molecular Visualization of Neuronal TDP43 PathologybioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Challenges of modelling TDP-43 pathology in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  19. Article
  20. Review

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

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

10 authors at 2 institutions in 2 countries.

Tuancheng FengDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Shuyi MaiDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Jenn Marie RoscoeDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Rory R ShengDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Mohammed UllahDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Junke ZhangDepartment of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Isabel Iscol KatzDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Haiyuan YuDepartment of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Wenjun XiongDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Fenghua HuDepartment of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-6447-9992
Cornell University · USCity University of Hong Kong · HK

Funding

Lysosomal Function of Progranulin and NeurodegenerationR01NS095954 · NINDS · CORNELL UNIVERSITY · PI Fenghua Hu · 2017 to 2026
$4.9M
Function of TMEM106B in NeurodegenerationR01NS088448 · NINDS · CORNELL UNIVERSITY · PI HU, FENGHUA · 2014 to 2025
$4.2M
NINDS NIH HHS R01 NS088448NINDS NIH HHS R01 NS095954The Bluefield project to Cure FTD
6 · The paper itself

Abstract

Haploinsufficiency of progranulin (PGRN) is a leading cause of frontotemporal lobar degeneration (FTLD). Loss of PGRN leads to lysosome dysfunction during aging. TMEM106B, a gene encoding a lysosomal membrane protein, is the main risk factor for FTLD with PGRN haploinsufficiency. But how TMEM106B affects FTLD disease progression remains to be determined. Here, we report that TMEM106B deficiency in mice leads to accumulation of lysosome vacuoles at the distal end of the axon initial segment in motor neurons and the development of FTLD-related pathology during aging. Ablation of both PGRN and TMEM106B in mice results in severe neuronal loss and glial activation in the spinal cord, retina, and brain. Enlarged lysosomes are frequently found in both microglia and astrocytes. Loss of both PGRN and TMEM106B results in an increased accumulation of lysosomal vacuoles in the axon initial segment of motor neurons and enhances the manifestation of FTLD phenotypes with a much earlier onset. These results provide novel insights into the role of TMEM106B in the lysosome, in brain aging, and in FTLD pathogenesis.

Indexed as

Frontotemporal DementiaFrontotemporal Lobar DegenerationAnimalsIntercellular Signaling Peptides and ProteinsLysosomesMembrane ProteinsMiceNerve Tissue ProteinsProgranulinsGrn protein, mouseIntercellular Signaling Peptides and ProteinsMembrane ProteinsNerve Tissue ProteinsProgranulinsTmem106b protein, mousefrontotemporal lobar degenerationlysosomeneurodegenerationprogranulinTMEM106B

Identifiers

PMID32852886
PMCPMC7534636
OpenAlexW3048097679

What OpenQuestion holds

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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.