Deciphering HTLV-1-associated Lung Pathology: Inflammation, Monocyte Recruitment and Differentiation Triggered by HTLV-1-exposed Alveolar Epithelial Cells
RNA-seq (gene expression) · human · 30 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
- 30 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.
- Paper
- Integrated in vitro and multi-cohort cross-omics analysis of HTLV-1-associated lung pathology reveals a RelA-dependent mechanism for monocyte recruitment and differentiationMolecular medicine (Cambridge, Mass.) · 2026
Read the full summary ↓
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 GSE312068_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 PRJNA1372139 and SRA study SRP650342. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 6 replicated groups read from 30 sample titles; they account for 30 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.
- GSM9337230 A549 control 1 A549 control
- GSM9337231 A549 control 2 A549 control
- GSM9337232 A549 control 4 A549 control
- GSM9337233 A549 control 5 A549 control
- GSM9337234 A549 control 6 A549 control
- GSM9337235 A549 Jurkat 1 A549 Jurkat
- GSM9337236 A549 Jurkat 2 A549 Jurkat
- GSM9337237 A549 Jurkat 3 A549 Jurkat
- GSM9337238 A549 Jurkat 4 A549 Jurkat
- GSM9337239 A549 Jurkat 5 A549 Jurkat
- GSM9337240 A549 MT-4 1 A549 MT-4
- GSM9337241 A549 MT-4 2 A549 MT-4
- GSM9337242 A549 MT-4 3 A549 MT-4
- GSM9337243 A549 MT-4 4 A549 MT-4
- GSM9337244 A549 MT-4 5 A549 MT-4
- GSM9337245 A549 MT-4 6 A549 MT-4
- GSM9337246 A549 MT-4 SN 1 A549 MT-4 SN
- GSM9337247 A549 MT-4 SN 3 A549 MT-4 SN
- GSM9337248 A549 MT-4 SN 4 A549 MT-4 SN
- GSM9337249 A549 MT-4 SN 5 A549 MT-4 SN
- GSM9337250 A549 MT-2 1 A549 MT-2
- GSM9337251 A549 MT-2 2 A549 MT-2
- GSM9337252 A549 MT-2 3 A549 MT-2
- GSM9337253 A549 MT-2 4 A549 MT-2
- GSM9337254 A549 MT-2 5 A549 MT-2
- GSM9337255 A549 MT-2 SN 1 A549 MT-2 SN
- GSM9337256 A549 MT-2 SN 2 A549 MT-2 SN
- GSM9337257 A549 MT-2 SN 3 A549 MT-2 SN
- GSM9337258 A549 MT-2 SN 4 A549 MT-2 SN
- GSM9337259 A549 MT-2 SN 5 A549 MT-2 SN
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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.