Transcriptional profiling of sorted THP1 cells infected with wild-type Mtb (H37Rv) or ESX-1-mutant Mtb
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 32 samples: 16 conditions, mostly in duplicateGroups 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 GSE280005_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 PRJNA1175726 and SRA study SRP540006. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 16 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.
- GSM8585516 THP1, H37Rv infected, 2h_sorted, rep 1 THP1, H37Rv infected, 2…
- GSM8585517 THP1, H37Rv infected, 2h_sorted, rep 2 THP1, H37Rv infected, 2…
- GSM8585518 THP1, H37Rv Uninfected, 2h_sorted, rep 1 THP1, H37Rv Uninfected,…
- GSM8585519 THP1, H37Rv Uninfected, 2h_sorted, rep 2 THP1, H37Rv Uninfected,…
- GSM8585520 THP1, ∆EccCa1-Rv infected, 2h_sorted, rep 1 THP1, ∆EccCa1-Rv infect…
- GSM8585521 THP1, ∆EccCa1-Rv infected, 2h_sorted, rep 2 THP1, ∆EccCa1-Rv infect…
- GSM8585522 THP1, ∆EccCa1-Rv Uninfected, 2h_sorted, rep 1 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585523 THP1, ∆EccCa1-Rv Uninfected, 2h_sorted, rep 2 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585524 THP1, H37Rv infected, 4h_sorted, rep 1 THP1, H37Rv infected, 4…
- GSM8585525 THP1, H37Rv infected, 4h_sorted, rep 2 THP1, H37Rv infected, 4…
- GSM8585526 THP1, H37Rv Uninfected, 4h_sorted, rep 1 THP1, H37Rv Uninfected,…
- GSM8585527 THP1, H37Rv Uninfected, 4h_sorted, rep 2 THP1, H37Rv Uninfected,…
- GSM8585528 THP1, ∆EccCa1-Rv infected, 4h_sorted, rep 1 THP1, ∆EccCa1-Rv infect…
- GSM8585529 THP1, ∆EccCa1-Rv infected, 4h_sorted, rep 2 THP1, ∆EccCa1-Rv infect…
- GSM8585530 THP1, ∆EccCa1-Rv Uninfected, 4h_sorted, rep 1 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585531 THP1, ∆EccCa1-Rv Uninfected, 4h_sorted, rep 2 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585532 THP1, H37Rv infected, 8h_sorted, rep 1 THP1, H37Rv infected, 8…
- GSM8585533 THP1, H37Rv infected, 8h_sorted, rep 2 THP1, H37Rv infected, 8…
- GSM8585534 THP1, H37Rv Uninfected, 8h_sorted, rep 1 THP1, H37Rv Uninfected,…
- GSM8585535 THP1, H37Rv Uninfected, 8h_sorted, rep 2 THP1, H37Rv Uninfected,…
- GSM8585536 THP1, ∆EccCa1-Rv infected, 8h_sorted, rep 1 THP1, ∆EccCa1-Rv infect…
- GSM8585537 THP1, ∆EccCa1-Rv infected, 8h_sorted, rep 2 THP1, ∆EccCa1-Rv infect…
- GSM8585538 THP1, ∆EccCa1-Rv Uninfected, 8h_sorted, rep 1 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585539 THP1, ∆EccCa1-Rv Uninfected, 8h_sorted, rep 2 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585540 THP1, H37Rv infected, 16h_sorted, rep 1 THP1, H37Rv infected, 1…
- GSM8585541 THP1, H37Rv infected, 16h_sorted, rep 2 THP1, H37Rv infected, 1…
- GSM8585542 THP1, H37Rv Uninfected, 16h_sorted, rep 1 THP1, H37Rv Uninfected,…
- GSM8585543 THP1, H37Rv Uninfected, 16h_sorted, rep 2 THP1, H37Rv Uninfected,…
- GSM8585544 THP1, ∆EccCa1-Rv infected, 16h_sorted, rep 1 THP1, ∆EccCa1-Rv infect…
- GSM8585545 THP1, ∆EccCa1-Rv infected, 16h_sorted, rep 2 THP1, ∆EccCa1-Rv infect…
- GSM8585546 THP1, ∆EccCa1-Rv Uninfected, 16h_sorted, rep 1 THP1, ∆EccCa1-Rv Uninfe…
- GSM8585547 THP1, ∆EccCa1-Rv Uninfected, 16h_sorted, rep 2 THP1, ∆EccCa1-Rv Uninfe…
- GSE275580 Human mRNA profile of Mycobacterium tuberculosis H37Rv infected and hsa-miR-643 mimic transfected THP-1 differentiated macrophages cells. 9 samples shares h37rv, infected
- GSE267737 THP-1 cells infected with H37Rv 6 samples shares h37rv, infected
- GSE239783 mRNA-seq of wild-type or ZUFSP knockout THP1 cells after vesicular stomatitis virus infection 4 samples shares thp1, wild-type
- GSE274310 Host transcriptome in human lung A549 cells infected with SARS-CoV-2 expressing wild-type and mutant (H234A and N277A) Nsp15 24 samples shares wild-type, infected
- GSE330780 Dissection of innate-immune-ligand- and interferon-protein-mediated transcriptional responses in human THP1 cell states 117 samples shares thp1
- GSE281475 Transcriptomic changes in THP1 human AML cell line on PHF6 knockout, PHF6R274Q mutation, PHIP knockout, and double knockout of PHF6 and PHIP compared to wildtype cells 21 samples shares thp1
- GSE281624 Transcriptomic changes in PHF6 knockout THP1 human AML cell line on rescue with PHF6 wildtype (with and without PHIP) or rescue with PHF6R274Q mutant 19 samples shares thp1
- GSE229937 Genes regulated by BRD3 in LPS-primed THP1 monocytes 12 samples shares thp1
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.