Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis

Jin et al use dynamic molecular network analysis to characterise the phosphoproteome in mouse models of neurodegenerative disease. Analyzing four models of frontotemporal lobar degeneration and four models of Alzheimer’s disease, they observe conserved signaling networks and confirm a therapeutic ef...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Meihua Jin, Xiaocen Jin, Hidenori Homma, Kyota Fujita, Hikari Tanaka, Shigeo Murayama, Hiroyasu Akatsu, Kazuhiko Tagawa, Hitoshi Okazawa
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/d5e02764078f40b4a23cb0a281d050c6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d5e02764078f40b4a23cb0a281d050c6
record_format	dspace
spelling	oai:doaj.org-article:d5e02764078f40b4a23cb0a281d050c62021-12-02T15:07:46ZPrediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis10.1038/s42003-021-02475-62399-3642https://doaj.org/article/d5e02764078f40b4a23cb0a281d050c62021-08-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02475-6https://doaj.org/toc/2399-3642Jin et al use dynamic molecular network analysis to characterise the phosphoproteome in mouse models of neurodegenerative disease. Analyzing four models of frontotemporal lobar degeneration and four models of Alzheimer’s disease, they observe conserved signaling networks and confirm a therapeutic effect of human anti-HMGB1, demonstrating the utility of the approach.Meihua JinXiaocen JinHidenori HommaKyota FujitaHikari TanakaShigeo MurayamaHiroyasu AkatsuKazuhiko TagawaHitoshi OkazawaNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Meihua Jin Xiaocen Jin Hidenori Homma Kyota Fujita Hikari Tanaka Shigeo Murayama Hiroyasu Akatsu Kazuhiko Tagawa Hitoshi Okazawa Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
description	Jin et al use dynamic molecular network analysis to characterise the phosphoproteome in mouse models of neurodegenerative disease. Analyzing four models of frontotemporal lobar degeneration and four models of Alzheimer’s disease, they observe conserved signaling networks and confirm a therapeutic effect of human anti-HMGB1, demonstrating the utility of the approach.
format	article
author	Meihua Jin Xiaocen Jin Hidenori Homma Kyota Fujita Hikari Tanaka Shigeo Murayama Hiroyasu Akatsu Kazuhiko Tagawa Hitoshi Okazawa
author_facet	Meihua Jin Xiaocen Jin Hidenori Homma Kyota Fujita Hikari Tanaka Shigeo Murayama Hiroyasu Akatsu Kazuhiko Tagawa Hitoshi Okazawa
author_sort	Meihua Jin
title	Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
title_short	Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
title_full	Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
title_fullStr	Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
title_full_unstemmed	Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
title_sort	prediction and verification of the ad-ftld common pathomechanism based on dynamic molecular network analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d5e02764078f40b4a23cb0a281d050c6
work_keys_str_mv	AT meihuajin predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT xiaocenjin predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT hidenorihomma predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT kyotafujita predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT hikaritanaka predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT shigeomurayama predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT hiroyasuakatsu predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT kazuhikotagawa predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis AT hitoshiokazawa predictionandverificationoftheadftldcommonpathomechanismbasedondynamicmolecularnetworkanalysis
_version_	1718388419097264128

Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis

Ejemplares similares