Acute rapamycin treatment reveals novel mechanisms of dysfunction in a maternal inflammation mouse model
RNA-seq (gene expression) · mouse · 32 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
- 32 samples: 6 conditions, mostly with about 5 replicates eachGroups 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 GSE328222_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 PRJNA1454373 and SRA study SRP692383. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 6 replicated groups read from 32 sample titles; they account for 32 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.
- GSM9675208 Control Rapamycin replicate 1 Control Rapamycin
- GSM9675209 Control Rapamycin replicate 2 Control Rapamycin
- GSM9675210 Control Rapamycin replicate 3 Control Rapamycin
- GSM9675211 Control Rapamycin replicate 4 Control Rapamycin
- GSM9675212 Control Rapamycin replicate 5 Control Rapamycin
- GSM9675213 Control Vehicle replicate 1 Control Vehicle
- GSM9675214 Control Vehicle replicate 2 Control Vehicle
- GSM9675215 Control Vehicle replicate 3 Control Vehicle
- GSM9675216 Control Vehicle replicate 4 Control Vehicle
- GSM9675217 Control Vehicle replicate 5 Control Vehicle
- GSM9675218 MIR Rapamycin replicate 1 MIR Rapamycin
- GSM9675219 MIR Rapamycin replicate 2 MIR Rapamycin
- GSM9675220 MIR Rapamycin replicate 3 MIR Rapamycin
- GSM9675221 MIR Rapamycin replicate 4 MIR Rapamycin
- GSM9675222 MIR Rapamycin replicate 5 MIR Rapamycin
- GSM9675223 MIR Vehicle replicate 1 MIR Vehicle
- GSM9675224 MIR Vehicle replicate 2 MIR Vehicle
- GSM9675225 MIR Vehicle replicate 3 MIR Vehicle
- GSM9675226 MIR Vehicle replicate 4 MIR Vehicle
- GSM9675227 MIR Vehicle replicate 5 MIR Vehicle
- GSM9675228 Vehicle Control replicate 1 Vehicle Control
- GSM9675229 Vehicle Control replicate 2 Vehicle Control
- GSM9675230 Vehicle Control replicate 3 Vehicle Control
- GSM9675231 Vehicle Control replicate 4 Vehicle Control
- GSM9675232 Vehicle Control replicate 5 Vehicle Control
- GSM9675233 Vehicle Control replicate 6 Vehicle Control
- GSM9675234 MIR replicate 1 MIR
- GSM9675235 MIR replicate 2 MIR
- GSM9675236 MIR replicate 3 MIR
- GSM9675237 MIR replicate 4 MIR
- GSM9675238 MIR replicate 5 MIR
- GSM9675239 MIR replicate 6 MIR
- GSE246221 A Mouse Model for Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatocellular Carcinoma [RNA-seq] 148 samples shares dysfunction
- GSE201602 RNAseq data from myotubes after treatment with iAM373 in vitro 80 samples shares treatment
- GSE293117 GPR34 loss-of-function rescues TREM2 metabolic dysfunction and promotes responsive microglial states 56 samples shares dysfunction
- GSE208530 Gene expression profiles of Leigh syndrome mouse samples and Ndufs4 knockout human iPSCs before and after Pioglitazone treatment 45 samples shares treatment
- GSE246223 A Mouse Model for Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatocellular Carcinoma 160 samples shares dysfunction
- GSE291636 RBBP6 orchestrates diabetic endothelial dysfunction viadisrupting JUNB-centric chromatin topology 73 samples shares dysfunction
- GSE249890 Antiandrogen treatment endows ZMYDN8 dependent epigenetic reprogramming to orchestrate neuroendocrine tumor transdifferentiation 40 samples shares treatment
- GSE295918 TREM2+ Macrophage Infiltration Underlies Breast Cancer Lung Metastasis due to Paclitaxel Treatment [ATAC-seq] 8 samples shares treatment
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.