SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Human_IL18R1]
RNA-seq (gene expression) · human · 10 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
- Homo sapiens (human)
- Samples
- 10 samples: 10 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
- Sex-dependent APOE4 neutrophil-microglia interactions drive cognitive impairment in Alzheimer's diseaseNature medicine · 2024
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 GSE243745_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 PRJNA1019746 and SRA study SRP462602. 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 10 sample titles: 10 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.
- GSM7795213 Sample_1_Neutrophil_APOE3_4_CN_IR18RI_Low
- GSM7795214 Sample_2_Neutrophil_APOE3_4_MCI_IR18RI_Low
- GSM7795215 Sample_3_Neutrophil_APOE3_4_CN_IR18RI_Low
- GSM7795216 Sample_4_Neutrophil_APOE3_4_CN_IR18RI_Low
- GSM7795217 Sample_5_Neutrophil_APOE3_4_MCI_IR18RI_Low
- GSM7795218 Sample_6_Neutrophil_APOE3_4_CN_IR18RI_High
- GSM7795219 Sample_7_Neutrophil_APOE3_4_MCI_IR18RI_High
- GSM7795220 Sample_8_Neutrophil_APOE3_4_CN_IR18RI_High
- GSM7795221 Sample_9_Neutrophil_APOE3_4_CN_IR18RI_High
- GSM7795222 Sample_10_Neutrophil_APOE3_4_MCI_IR18RI_High
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- GSE300197 The cytoskeleton drives abnormal chromatin-lamina interactions in LMNA-deficient cardiomyocytes. 30 samples shares drive, interactions
- GSE282122 A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease 216 samples shares disease
- GSE135251 TRANSCRIPTOMIC PROFILING ACROSS THE SPECTRUM OF NON-ALCOHOLIC FATTY LIVER DISEASE 216 samples shares disease
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares disease
- GSE268599 Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease 146 samples shares disease
- GSE317503 Reference-guided genome assembly of long non-coding RNA transcripts reveals target genes associated with Crohn’s disease 140 samples shares disease
- GSE261050 Transcriptome study of Alzheimer's disease on post-mortem human brain 101 samples shares disease
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.