Chronic Stress Exacerbates Cerebral Amyloid Angiopathy through Promoting NET formation
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 6 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.
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 GSE249926_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 PRJNA1051133 and SRA study SRP477384. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7967139 Bone marrow derived neutrophils, Ctrl1 Bone marrow derived neu…
- GSM7967140 Bone marrow derived neutrophils, Ctrl2 Bone marrow derived neu…
- GSM7967141 Bone marrow derived neutrophils, Aβ40 1 Bone marrow derived neu…
- GSM7967142 Bone marrow derived neutrophils, Aβ40 2 Bone marrow derived neu…
- GSM7967155 Brain, WTCtrl2 Brain, WTCtrl
- GSM7967156 Brain, WTCtrl1 Brain, WTCtrl
- GSM7967157 Brain, WTHS2 Brain, WTHS
- GSM7967158 Brain, WTHS1 Brain, WTHS
- GSM7967159 Brain, CAACtrl2 Brain, CAACtrl
- GSM7967160 Brain, CAACtrl1 Brain, CAACtrl
- GSM7967161 Brain, CAAHS2 Brain, CAAHS
- GSM7967162 Brain, CAAHS1 Brain, CAAHS
- GSE243090 Modeling the chondrocyte-derived osteoblasts formation process reveals its molecular signature and regulation network 12 samples shares net, formation
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares promoting, chronic
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares net
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares net
- GSE294535 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice[part5] 1000 samples shares net
- GSE294849 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part13] 1000 samples shares net
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares net
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares net
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.