Peripheral T-cell lymphomas expressing CD30 and CD15 expand the spectrum of anaplastic large cell lymphoma, ALK-negative
RNA-seq (gene expression) · human · 14 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
- 14 samples: 14 × human primary T cell lymphoma MGroups 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
- Peripheral T-cell lymphomas expressing CD30 and CD15 expand the spectrum of anaplastic large cell lymphoma, ALK-negativeBritish journal of haematology · 2024
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 GSE115917_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 PRJNA476497 and SRA study SRP150709. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 1 replicated groups read from 14 sample titles; they account for 14 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.
- GSM3193340 human primary T cell lymphoma MR01 human primary T cell ly…
- GSM3193341 human primary T cell lymphoma MR02 human primary T cell ly…
- GSM3193342 human primary T cell lymphoma MR03 human primary T cell ly…
- GSM3193343 human primary T cell lymphoma MR04 human primary T cell ly…
- GSM3193344 human primary T cell lymphoma MR05 human primary T cell ly…
- GSM3193345 human primary T cell lymphoma MR06 human primary T cell ly…
- GSM3193346 human primary T cell lymphoma MR07 human primary T cell ly…
- GSM3193347 human primary T cell lymphoma MR08 human primary T cell ly…
- GSM3193348 human primary T cell lymphoma MR09 human primary T cell ly…
- GSM3193349 human primary T cell lymphoma MR10 human primary T cell ly…
- GSM3193350 human primary T cell lymphoma MR11 human primary T cell ly…
- GSM3193351 human primary T cell lymphoma MR12 human primary T cell ly…
- GSM3193352 human primary T cell lymphoma MR13 human primary T cell ly…
- GSM3193353 human primary T cell lymphoma MR14 human primary T cell ly…
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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.