Two weeks after SCI, spinal cords of wild type control (GFAP-RiboTag) and STAT3-CKO (GFAP-STAT3CKO-RiboTag) mice were rapidly dissected out of the spinal canal. The central 3mm of the lower thoracic lesion including the lesion core and 1mm rostral and caudal were then rapidly removed and snap frozen in liquid nitrogen. Hemagglutinin (HA) immune-precipitation (HA-IP) of astrocyte ribosomes and ribosome-associated mRNA (ramRNA) was carried out as described26 (link). The non-precipitated flow through (FT) from each IP sample was collected for analysis of non-astrocyte total RNA. HA and FT samples underwent on-column DNA digestion using the RNase-Free Dnase Set (Qiagen) and RNA purified with the RNeasy Micro kit (Qiagen). Integrity of the eluted RNA was analyzed by a 2100 Bioanalyzer (Agilent) using the RNA Pico chip, mean sample RIN = 8.0±0.95. RNA concentration determined by RiboGreen RNA Assay kit (Life Technologies). cDNA was generated from 5ng of IP or FT RNA using the Nugen Ovation® 2 RNA-Seq Sytstem V2 kit (Nugen). 1 ug of cDNA was fragmented using the Covaris M220. Paired-end libraries for multiplex sequencing were generated from 300 ng of fragmented cDNA using the Apollo 324 automated library preparation system (Wafergen Biosystems) and purified with Agencourt AMPure XP beads (Beckman Coulter). All samples were analyzed by an Illumina NextSeq 500 Sequencer (Illumina) using 75-bp paired-end sequencing. Reads were quality controlled using in-house scripts including picard-tools, mapped to the reference mm10 genome using STAR60 (link), and counted using HT-seq61 (link) with mm10 refSeq as reference, and genes were called differentially expressed using edgeR62 (link). Individual gene expression levels in the Figure 4e histogram are shown as mean FPKM (Mean fragments per kilobase of transcript sequence per million mapped fragments). Additional details of differential expression analysis are described in figure legends of Figure 4 and Extended Data Figures 3 and 4. Raw and normalized data have been deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE76097 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76097).