Immune checkpoint TIM-3 regulates microglia and Alzheimer’s disease
RNA-seq (gene expression) · mouse · 57 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
- 57 samples: 12 conditions, mostly in duplicateGroups 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
- Immune checkpoint TIM-3 regulates microglia and Alzheimer's diseaseNature · 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 GSE223424_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 PRJNA926114 and SRA study SRP418560. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 53 samples.
How we read this: 12 replicated groups read from 57 sample titles; they account for 53 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.
- GSM6948159 3M_Tim3.cKO_phago_rep1 3M_Tim3.cKO_phago
- GSM6948160 3M_control_phago_rep1 3M_control_phago
- GSM6948161 3M_Tim3.cKO_phago_rep2 3M_Tim3.cKO_phago
- GSM6948162 3M_control_phago_rep2 3M_control_phago
- GSM6948163 3M_control_phago_rep3 3M_control_phago
- GSM6948164 3M_Tim3.cKO_phago_rep3 3M_Tim3.cKO_phago
- GSM6948165 3M_control_phago_rep4 3M_control_phago
- GSM6948166 3M_control_phago_rep5 3M_control_phago
- GSM6948167 3M_Tim3.cKO_phago_rep4 3M_Tim3.cKO_phago
- GSM6948168 3M_Tim3.cKO_nonphago_rep1 3M_Tim3.cKO_nonphago
- GSM6948169 3M_Tim3.cKO_nonphago_rep2 3M_Tim3.cKO_nonphago
- GSM6948170 3M_control_nonphago_rep1 3M_control_nonphago
- GSM6948171 3M_Tim3.cKO_nonphago_rep3 3M_Tim3.cKO_nonphago
- GSM6948172 3M_control_nonphago_rep2 3M_control_nonphago
- GSM6948173 3M_control_nonphago_rep3 3M_control_nonphago
- GSM6948174 3M_control_nonphago_rep4 3M_control_nonphago
- GSM6948175 3M_control_nonphago_rep5 3M_control_nonphago
- GSM6948176 3M_control_nonphago_rep6 3M_control_nonphago
- GSM6948177 3M_Tim3.cKO_nonphago_rep4 3M_Tim3.cKO_nonphago
- GSM6948178 3M_control_nonphago_rep7 3M_control_nonphago
- GSM6948179 3M_control_nonphago_rep8 3M_control_nonphago
- GSM6948180 3M_Tim3.cKO_nonphago_rep5 3M_Tim3.cKO_nonphago
- GSM6948181 7M_5XFAD_rep1 7M_5XFAD
- GSM6948182 7M control_rep1 7M control
- GSM6948183 7M control_rep2 7M control
- GSM6948184 7M_5XFAD_rep2 7M_5XFAD
- GSM6948185 7M control_rep3 7M control
- GSM6948186 7M control_rep4 7M control
- GSM6948187 4M_control_rep1 4M_control
- GSM6948188 4M_5XFAD_rep1 4M_5XFAD
- GSM6948189 4M_control_rep2 4M_control
- GSM6948190 4M_control_rep3 4M_control
- GSM6948191 4M_control_rep4 4M_control
- GSM6948192 4M_5XFAD_rep2 4M_5XFAD
- GSM6948193 4M_5XFAD_rep3 4M_5XFAD
- GSM6948194 4M_control_rep5 4M_control
- GSM6948195 4M_control_rep6 4M_control
- GSM6948196 4M_control_rep7 4M_control
- GSM6948197 4M_control_rep8 4M_control
- GSM6948198 4M_5XFAD_rep4 4M_5XFAD
+ 17 more — browse all 57 samples with per-sample file links →
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares microglia, alzheimer
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares microglia, alzheimer
- GSE327604 Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer’s disease pathogenesis [RNA-Seq] 12 samples shares microglia, alzheimer
- GSE327618 Targeting microglial phosphatidylethanolamine synthesis pathway promotes GABARAP-associated phagocytosis and A clearance in Alzheimer's disease 9 samples shares microglia, alzheimer
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares microglia, alzheimer
- GSE263793 Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer's disease mouse model as revealed by spatial transcriptomics 7 samples shares microglia, alzheimer
- GSE307127 Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease 36 samples shares alzheimer
- GSE301560 Hematopoietic loss of Y chromosome activates immune checkpoints to impair senescent cell clearance contributing to renal disease 20 samples shares checkpoint
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.