Full transcriptome and proteome analysis of the mechanism of tuberculosis Ag85B-Fc2a in alleviating allergic asthma in mice
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 3 × N vs 3 × M vs 3 × AGroups 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 GSE269136_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 PRJNA1120385 and SRA study SRP511963. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 11 sample titles; they account for 9 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.
- GSM8306888 N1-1
- GSM8306889 N2 N
- GSM8306890 N3 N
- GSM8306891 M1-1
- GSM8306892 M2 M
- GSM8306893 M3 M
- GSM8306894 A1 A
- GSM8306895 A2 A
- GSM8306896 A3 A
- GSM8306897 N1 N
- GSM8306898 M1 M
- GSE274427 Full transcriptome analysis of the mechanism of tuberculosis ESAT6-Fc2a in alleviating allergic asthma in mice 9 samples shares tuberculosis, alleviating, allergic, asthma, full
- GSE263892 Single-cell analysis reveals Mycobacterium tuberculosis ESX-1-mediated accumulation of permissive macrophages in infected mouse lungs 6078 samples shares tuberculosis
- GSE263891 Single-cell analysis reveals Mycobacterium tuberculosis ESX-1–mediated accumulation of permissive macrophages in infected mouse lungs 6072 samples shares tuberculosis
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 samples shares proteome
- GSE178728 An integrated proteome and transcriptome of B cell maturation defines poised activation states of transitional and mature B cells 32 samples shares proteome
- GSE278523 Systems biology mapping of rBCG-LTAK63-induced protection against tuberculosis reveals the significance of autophagy and circadian rhythm regulation by cAMP 126 samples shares tuberculosis
- GSE280301 Culturing of primary mouse hepatocytes is associated with major changes to the proteome and transcriptome 12 samples shares proteome
- GSE279164 Transcriptome and proteome profiling reveals TREM2-dependent and -independent glial response and metabolic perturbation in an Alzheimer’s mouse model 12 samples shares proteome
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.