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A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
Journal article published in 2017 by
Johnathan Cooper-Knock 
,
Wenbin Wei,
Paul R. Heath,
Matthew Wyles,
J. Robin Highley,
Gabriel Altschuler,
Alejandro Lorente-Pons,
Claire Green ,
Joanna J. Bury,
Karel Otero,
Catherine Gelsthorpe,
Bryan Traynor,
Janine Kirby,
Pamela J. Shaw,
Tim Beck
and other authors.
,
Wenbin Wei,
Paul R. Heath,
Matthew Wyles,
J. Robin Highley,
Gabriel Altschuler,
Alejandro Lorente-Pons,
Claire Green ,
Joanna J. Bury,
Karel Otero,
Catherine Gelsthorpe,
Bryan Traynor,
Janine Kirby,
Pamela J. Shaw,
Tim Beck
and other authors.
Abstract
Abstract 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 transcriptome-driven approach to develop noninvasive prognostic biomarkers for disease progression. Genes expressed in laser captured motor neurons in direct correlation (Spearman rank correlation, p