ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice
RNA-seq (gene expression) · mouse · 141 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 141 samples: 24 conditions, mostly with about 5 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in miceNature communications · 2025
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE254229_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1069037 and SRA study SRP485929. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 125 samples.
How we read this: 24 replicated groups read from 141 sample titles; they account for 125 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8036118 WT_UT_1 WT_UT
- GSM8036119 WT_LPS_1 WT_LPS
- GSM8036120 WT_IL4_1 WT_IL4
- GSM8036121 HET_UT_1 HET_UT
- GSM8036122 HET_LPS_1 HET_LPS
- GSM8036123 HET_IL4_1 HET_IL4
- GSM8036124 KO_UT_1 KO_UT
- GSM8036125 KO_LPS_1 KO_LPS
- GSM8036126 KO_IL4_1 KO_IL4
- GSM8036127 WT_UT_2 WT_UT
- GSM8036128 WT_LPS_2 WT_LPS
- GSM8036129 WT_IL4_2 WT_IL4
- GSM8036130 HET_UT_2 HET_UT
- GSM8036131 HET_LPS_2 HET_LPS
- GSM8036132 HET_IL4_2 HET_IL4
- GSM8036133 KO_UT_2 KO_UT
- GSM8036134 KO_LPS_2 KO_LPS
- GSM8036135 KO_IL4_2 KO_IL4
- GSM8036136 WT_UT_3 WT_UT
- GSM8036137 WT_LPS_3 WT_LPS
- GSM8036138 WT_IL4_3 WT_IL4
- GSM8036139 HET_UT_3 HET_UT
- GSM8036140 HET_LPS_3 HET_LPS
- GSM8036141 HET_IL4_3 HET_IL4
- GSM8036142 KO_UT_3 KO_UT
- GSM8036143 KO_LPS_3 KO_LPS
- GSM8036145 KO_IL4_3 KO_IL4
- GSM8036149 WT_UT_4 WT_UT
- GSM8036154 WT_LPS_4 WT_LPS
- GSM8036159 WT_IL4_4 WT_IL4
- GSM8036163 HET_UT_4 HET_UT
- GSM8036168 HET_LPS_4 HET_LPS
- GSM8036173 HET_IL4_4 HET_IL4
- GSM8036177 KO_UT_4 KO_UT
- GSM8036181 KO_LPS_4 KO_LPS
- GSM8036182 KO_IL4_4 KO_IL4
- GSM8036183 WT_LPS_5 WT_LPS
- GSM8036184 WT_IL4_5 WT_IL4
- GSM8036185 HET_UT_5 HET_UT
- GSM8036186 HET_LPS_5 HET_LPS
+ 101 more — browse all 141 samples with per-sample file links →
- GSE254217 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits. [in vitro_Microglia] 59 samples shares tbk1, als, recognition, ftd-linked, deficiency, microglial, microglia, aged-like
- GSE290810 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits [FACS_SpinalCord_Microglia & LPS_Brain_SpinalCord] 35 samples shares tbk1, als, recognition, ftd-linked, deficiency, microglial, microglia, aged-like
- GSE306031 Single-Nucleus Transcriptomics Reveals Cell Type-Specific Remodeling and Epilepsy Associated Microglia 31 samples shares als, microglia
- GSE327960 Transcription profiles of mouse microglia isolated by FACS from WT and Grn KO animals, separated by lipofuscin levels [hex001110] 24 samples shares als, microglia
- GSE288504 Direct microglia replacement reveals pathologic and therapeutic contributions of brain macrophages to a monogenic neurological disease [RNA-seq] 15 samples shares als, microglia
- GSE341988 Sequential pathogen exposure normalizes the brain neuroimmune microenvironment and reveals a tissue-resident memory CD8 T cell-microglia axis shaping adult neurogenesis 8 samples shares als, microglia
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares als
- GSE159911 “Bench-to-Bedside and Back” analysis of NAFLD model reveals common transcriptomic shifts between mouse and human during disease progression 152 samples shares als
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.