RNASeq analysis of CC011, CC074, Trimko, and Trim wt female mice on 3dpi and 6dpi after infection with Ebola virus
RNA-seq (gene expression) · mouse · 57 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
- 57 samples: 14 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 GSE262041_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 PRJNA1090082 and SRA study SRP496772. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 57 samples.
How we read this: 14 replicated groups read from 57 sample titles; they account for 57 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.
- GSM8156395 EV_CC011_D3_1 EV_CC011_D3
- GSM8156396 EV_CC011_D3_2 EV_CC011_D3
- GSM8156397 EV_CC011_D3_3 EV_CC011_D3
- GSM8156398 EV_CC011_D3_4 EV_CC011_D3
- GSM8156399 EV_CC011_D3_5 EV_CC011_D3
- GSM8156400 EV_CC011_D6_1 EV_CC011_D6
- GSM8156401 EV_CC011_D6_2 EV_CC011_D6
- GSM8156402 EV_CC011_D6_3 EV_CC011_D6
- GSM8156403 EV_CC011_D6_4 EV_CC011_D6
- GSM8156404 EV_CC011_D6_5 EV_CC011_D6
- GSM8156405 EV_CC074_D3_1 EV_CC074_D3
- GSM8156406 EV_CC074_D3_2 EV_CC074_D3
- GSM8156407 EV_CC074_D3_3 EV_CC074_D3
- GSM8156408 EV_CC074_D3_4 EV_CC074_D3
- GSM8156409 EV_CC074_D3_5 EV_CC074_D3
- GSM8156410 EV_CC074_D6_1 EV_CC074_D6
- GSM8156411 EV_CC074_D6_2 EV_CC074_D6
- GSM8156412 EV_TRIM_KO_D3_1 EV_TRIM_KO_D3
- GSM8156413 EV_TRIM_KO_D3_2 EV_TRIM_KO_D3
- GSM8156414 EV_TRIM_KO_D3_3 EV_TRIM_KO_D3
- GSM8156415 EV_TRIM_KO_D3_4 EV_TRIM_KO_D3
- GSM8156416 EV_TRIM_KO_D3_5 EV_TRIM_KO_D3
- GSM8156417 EV_TRIM_KO_D6_1 EV_TRIM_KO_D6
- GSM8156418 EV_TRIM_KO_D6_2 EV_TRIM_KO_D6
- GSM8156419 EV_TRIM_KO_D6_3 EV_TRIM_KO_D6
- GSM8156420 EV_TRIM_KO_D6_4 EV_TRIM_KO_D6
- GSM8156421 EV_TRIM_KO_D6_5 EV_TRIM_KO_D6
- GSM8156422 EV_TRIM_WT_D3_1 EV_TRIM_WT_D3
- GSM8156423 EV_TRIM_WT_D3_2 EV_TRIM_WT_D3
- GSM8156424 EV_TRIM_WT_D3_3 EV_TRIM_WT_D3
- GSM8156425 EV_TRIM_WT_D3_4 EV_TRIM_WT_D3
- GSM8156426 EV_TRIM_WT_D3_5 EV_TRIM_WT_D3
- GSM8156427 EV_TRIM_WT_D6_1 EV_TRIM_WT_D6
- GSM8156428 EV_TRIM_WT_D6_2 EV_TRIM_WT_D6
- GSM8156429 EV_TRIM_WT_D6_3 EV_TRIM_WT_D6
- GSM8156430 EV_TRIM_WT_D6_4 EV_TRIM_WT_D6
- GSM8156431 EV_TRIM_WT_D6_5 EV_TRIM_WT_D6
- GSM8156432 Mock_CC011_D3_1 Mock_CC011_D3
- GSM8156433 Mock_CC011_D3_2 Mock_CC011_D3
- GSM8156434 Mock_CC011_D3_3 Mock_CC011_D3
+ 17 more — browse all 57 samples with per-sample file links →
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.