Fig. 1: Temporal transcriptomic analysis identifies persistent activation of cytokines during disease progression in ALS. | Communications Biology

Fig. 1: Temporal transcriptomic analysis identifies persistent activation of cytokines during disease progression in ALS.

From: Integrated transcriptomic profiling reveals a STING-mediated Type II Interferon signature in SOD1-mutant amyotrophic lateral sclerosis models

Fig. 1

a Schematic representation of analytical workflow. Integrated analysis of RNA-seq data arising from multiple published studies, located through an extensive computerized search using specific key-terms reported in peer-review journals. The data was uniformly processed via Galaxy web-based platform before further subjecting to more downstream analysis. b K-means clustering of significantly affected genes identifies 6-coordinated expression modules as determined by RNA-seq in bulk from WT and SOD1-G93A mice. Vertical lane: mean of biological replicates of whole spinal cord tissue cells from WT versus SOD1-G93A (n ≥ 3 mice/age group, mean Z-scores based on Log-transformed CPM). c (Upper section) Z-score mean expression across time courses for age of WT and SOD1-G93A mice ranging from embryonic day 12.5 to postnatal day 150; (Lower section) Simplified expression dynamics patterns for G93A, modeled to illustrate the general trend observed within each cluster (not directly generated from the expression data). The y-axis shows the average Z-score; the x-axis indicates the age of mice postnatal. d The primary biological processes or pathways enriched within these six-modules are examined in their temporal context while comparing across genotypes. Each individual cluster contains interconnected nodes, representing individual genes, with edges indicating functional relationships between them.

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