Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir).
RNA-seq (gene expression) · mouse · 35 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
- 35 samples: 12 conditions, mostly in triplicateGroups 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 GSE298720_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 PRJNA1271007 and SRA study SRP589454. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 35 samples.
How we read this: 12 replicated groups read from 35 sample titles; they account for 35 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.
- GSM9021503 SET_A_NONE_1 SET_A_NONE
- GSM9021504 SET_A_NONE_2 SET_A_NONE
- GSM9021505 SET_A_NONE_3 SET_A_NONE
- GSM9021506 SET_A_IL-1B_1 SET_A_IL-1B
- GSM9021507 SET_A_IL-1B_2 SET_A_IL-1B
- GSM9021508 SET_A_IL-1B_3 SET_A_IL-1B
- GSM9021509 SET_A_BRV-L1 SET_A_BRV-L
- GSM9021510 SET_A_BRV-L2 SET_A_BRV-L
- GSM9021511 SET_A_BRV-L3 SET_A_BRV-L
- GSM9021512 SET_A_BRV-H1 SET_A_BRV-H
- GSM9021513 SET_A_BRV-H2 SET_A_BRV-H
- GSM9021514 SET_A_BRV-H3 SET_A_BRV-H
- GSM9021515 SET_B_Ad-C_1 SET_B_Ad-C
- GSM9021516 SET_B_Ad-C_2 SET_B_Ad-C
- GSM9021517 SET_B_Ad-C_3 SET_B_Ad-C
- GSM9021518 SET_B_Ad-O_1 SET_B_Ad-O
- GSM9021519 SET_B_Ad-O_2 SET_B_Ad-O
- GSM9021520 SET_B_Ad-O_3 SET_B_Ad-O
- GSM9021521 SET_B_BRV-L1 SET_B_BRV-L
- GSM9021522 SET_B_BRV-L2 SET_B_BRV-L
- GSM9021523 SET_B_BRV-L3 SET_B_BRV-L
- GSM9021524 SET_B_BRV-H1 SET_B_BRV-H
- GSM9021525 SET_B_BRV-H2 SET_B_BRV-H
- GSM9021526 SET_B_BRV-H3 SET_B_BRV-H
- GSM9021527 SET_C_NONE_1 SET_C_NONE
- GSM9021528 SET_C_NONE_2 SET_C_NONE
- GSM9021529 SET_C_NONE_3 SET_C_NONE
- GSM9021530 SET_C_IL-1B_1 SET_C_IL-1B
- GSM9021531 SET_C_IL-1B_2 SET_C_IL-1B
- GSM9021532 SET_C_IL-1B_3 SET_C_IL-1B
- GSM9021533 SET_C_ADV-L1 SET_C_ADV-L
- GSM9021534 SET_C_ADV-L3 SET_C_ADV-L
- GSM9021535 SET_C_ADV-H1 SET_C_ADV-H
- GSM9021536 SET_C_ADV-H2 SET_C_ADV-H
- GSM9021537 SET_C_ADV-H3 SET_C_ADV-H
- GSE271149 Topical ABT-263 treatment reduces aged skin senescence and improves subsequent wound healing 7 samples shares subsequent, treatment
- GSE284135 Ptprz Signaling, Tubule and Macrophage-Mediated Renal Injury and Subsequent Chronic Kidney Disease 32 samples shares subsequent
- GSE284134 Ptprz Signaling, Tubule and Macrophage-Mediated Renal Injury and Subsequent Chronic Kidney Disease [TECs] 20 samples shares subsequent
- GSE198799 Uterine injury during diestrus leads to embryo spacing defects and perturbations in the Cox-2 pathway in subsequent pregnancies 18 samples shares subsequent
- GSE283007 Prior High Fiber Intake Impinges on the Cellular Responses of Mesenteric Adipose and Intestinal Tissues to Subsequent High Fat Feeding 16 samples shares subsequent
- GSE284133 Ptprz Signaling, Tubule and Macrophage-Mediated Renal Injury and Subsequent Chronic Kidney Disease [macrophages] 12 samples shares subsequent
- GSE288979 Bile acid receptor FXR promotes intestinal epithelial ferroptosis and subsequent ILC3 dysfunction in neonatal necrotizing enterocolitis [IEC bulk RNA-seq] 8 samples shares subsequent
- GSE288754 Bile acid receptor FXR promotes intestinal epithelial ferroptosis and subsequent ILC3 dysfunction in neonatal necrotizing enterocolitis [ILC3s bulk RNA-seq] 6 samples shares subsequent
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.