A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
About this item
Full title
Author / Creator
Cooper-Knock, Johnathan , Green, Claire , Altschuler, Gabriel , Wei, Wenbin , Bury, Joanna J , Heath, Paul R , Wyles, Matthew , Gelsthorpe, Catherine , Highley, J Robin , Lorente-Pons, Alejandro , Beck, Tim , Doyle, Kathryn , Otero, Karel , Traynor, Bryan , Kirby, Janine , Shaw, Pamela J and Hide, Winston
Publisher
England: BioMed Central
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central
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Scope and Contents
Contents
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that lacks a predictive and broadly applicable biomarker. Continued focus on mutation-specific upstream mechanisms has yet to predict disease progression in the clinic. Utilising cellular pathology common to the majority of ALS patients, we implemented an objective trans...
Alternative Titles
Full title
A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5353945
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5353945
Other Identifiers
ISSN
2051-5960
E-ISSN
2051-5960
DOI
10.1186/s40478-017-0424-x
