Bifidobacterium lactis Derived Vesicles Attenuates Hippocampal Neuroinflammation via Targeting IL-33 to Regulate FoxO6/P53 Signaling
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 5 × HT-22 cells, BL99_EV vs 5 × HT-22 cells, ctrl vs 5 × HT-22 cells, LPSGroups 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 GSE279453_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 PRJNA1172725 and SRA study SRP538513. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8571215 HT-22 cells, BL99_EV1 HT-22 cells, BL99_EV
- GSM8571216 HT-22 cells, BL99_EV2 HT-22 cells, BL99_EV
- GSM8571217 HT-22 cells, BL99_EV3 HT-22 cells, BL99_EV
- GSM8571218 HT-22 cells, BL99_EV4 HT-22 cells, BL99_EV
- GSM8571219 HT-22 cells, BL99_EV5 HT-22 cells, BL99_EV
- GSM8571220 HT-22 cells, ctrl1 HT-22 cells, ctrl
- GSM8571221 HT-22 cells, ctrl2 HT-22 cells, ctrl
- GSM8571222 HT-22 cells, ctrl3 HT-22 cells, ctrl
- GSM8571223 HT-22 cells, ctrl4 HT-22 cells, ctrl
- GSM8571224 HT-22 cells, ctrl5 HT-22 cells, ctrl
- GSM8571225 HT-22 cells, LPS1 HT-22 cells, LPS
- GSM8571226 HT-22 cells, LPS2 HT-22 cells, LPS
- GSM8571227 HT-22 cells, LPS3 HT-22 cells, LPS
- GSM8571228 HT-22 cells, LPS4 HT-22 cells, LPS
- GSM8571229 HT-22 cells, LPS5 HT-22 cells, LPS
- GSE255031 Combined inhibition of IL-1, IL-33 and IL-36 signaling by targeting IL1RAP ameliorates skin and lung fibrosis in preclinical models of Systemic Sclerosis 21 samples shares il-33, targeting
- GSE333534 Targeting KRAS in a TRP53/KRAS mouse and organoid model inhibits Barrett Esophagus to Gastroesophageal Adenocarcinoma progression 20 samples shares p53, targeting
- GSE324086 Hereditary spastic paraplegia (HSP) gene 11 (SPG11) attenuates lipid accumulation in myeloid cells and neuroinflammation independent of α-synuclein pathology 20 samples shares neuroinflammation, attenuates
- GSE328178 Genetic suppression of myeloid receptor Clec7a attenuates microglia neuroinflammation and promotes microglial phagocytosis to delay disease progression in ALS models 14 samples shares neuroinflammation, attenuates
- GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares p53
- GSE315211 Bulk RNA-seq of multiple organs in LmnaG609G progeria mice with inducible Δ133p53α 99 samples shares p53
- GSE210900 Endogenous p53 Inhibitor TIRR Dissociates Systemic Metabolic Health from Oncogenic Activity - RNAseq data 82 samples shares p53
- GSE301299 Multi-omics analysis identifies intrinsic Trp53 driven metastatic breast cancer subtypes [RNA-seq] 51 samples shares p53
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.