CLU alleviates Alzheimer’s disease-relevant processes by modulating astrocyte reactivity and microglia-dependent synaptic density [RNA-Seq]
RNA-seq (gene expression) · mouse · 19 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
- 19 samples: 19 samples, each with a distinct title — no replicated groupsGroups 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
- CLU alleviates Alzheimer's disease-relevant processes by modulating astrocyte reactivity and microglia-dependent synaptic densityNeuron · 2025
Read the full summary ↓
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 GSE294133_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 PRJNA1248428 and SRA study SRP577493. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 19 sample titles: 19 distinct titles with little repetition. 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.
- GSM8899177 B01_hipp_F_5xFADHEMI.CLUh2kbKIHO_4mo_12517
- GSM8899178 B02_hipp_F_5xFADHEMI.CLUh2kbKIHO_4mo_12646
- GSM8899179 B04_hipp_F_5xFADHEMI.CLUh2kbKIHO_4mo_12659
- GSM8899180 B05_hipp_F_5xFADHEMI.CLUh2kbKIHO_4mo_12669
- GSM8899181 B06_hipp_M_5xFADHEMI.CLUh2kbKIHO_4mo_12705
- GSM8899182 B07_hipp_M_5xFADHEMI.CLUh2kbKIHO_4mo_12708
- GSM8899183 B08_hipp_M_5xFADHEMI.CLUh2kbKIHO_4mo_12715
- GSM8899184 B09_hipp_M_5xFADHEMI.CLUh2kbKIHO_4mo_12717
- GSM8899185 B10_hipp_M_5xFADHEMI.CLUh2kbKIHO_4mo_12724
- GSM8899186 C01_hipp_F_5xFADHEMI_4mo_11615
- GSM8899187 C02_hipp_F_5xFADHEMI_4mo_11616
- GSM8899188 C03_hipp_F_5xFADHEMI_4mo_11617
- GSM8899189 C04_hipp_F_5xFADHEMI_4mo_11625
- GSM8899190 C05_hipp_F_5xFADHEMI_4mo_11626
- GSM8899191 C06_hipp_M_5xFADHEMI_4mo_11611
- GSM8899192 C07_hipp_M_5xFADHEMI_4mo_11619
- GSM8899193 C08_hipp_M_5xFADHEMI_4mo_11621
- GSM8899194 C09_hipp_M_5xFADHEMI_4mo_11622
- GSM8899195 C10_hipp_M_5xFADHEMI_4mo_11631
- GSE307127 Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease 36 samples shares alleviates, alzheimer
- GSE264747 DC-SIGN+ Macrophages alleviates Non-Alcoholic Steatohepatitis by modulating inflammatory cytokine secretion 13 samples shares alleviates, modulating
- GSE300922 Xin-Zi-Sheng-Wan Decoction Alleviates Hyperuricemia-Induced Renal Injury by Modulating SPP1-CD44-Mediated Macrophage Infiltration and SRC/FAK/β-Catenin Signaling Pathway 12 samples shares alleviates, modulating
- GSE320421 Hydroxychloroquine Alleviates Cyclophosphamide-Induced Premature Ovarian Failure by Attenuating Granulosa Cell Senescence and Modulating the mtDNA-cGAS Pathway 9 samples shares alleviates, modulating
- GSE159295 Translation-dependent and independent mRNA decay occur through mutually exclusive pathways that are defined by ribosome density during T Cell activation [RNA-Seq] 105 samples shares clu
- GSE285577 CCCTC-binding Factor N-terminal Domain Regulates Clustered Protocadherin Gene Expression by Enhancing Cohesin Processivity [RNA-Seq] 47 samples shares clu
- GSE306718 Macrophage Cluster of Differentiation 163 promotes post-infarction cardiac repair and preserves left ventricular function via osteopontin 37 samples shares clu
- GSE277929 Transcriptional repression by HDAC3 mediates T cell exclusion from Kras mutant lung tumors [KL GEMM Treated Primary Tumors RNA-seq] 35 samples shares clu
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.