DOT1L controls NK cell maturation and lineage integrity [RNA-seq D0 & D2]
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 × splenic sorted NK cells, wild type, vs 3 × splenic sorted NK cells, knockout, vs 3 × splenic sorted NK cells, knockout, d2 MCMV, vs 2 × splenic sorted NK cells, wild type, d2 MCMV,Groups 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
- DOT1L maintains NK cell phenotype and function for optimal tumor controlCell reports · 2024
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 GSE222233_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 PRJNA918656 and SRA study SRP415998. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 6 samples read as cases, 5 as controls.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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.
- GSM6918474 splenic sorted NK cells, wild type, rep1 splenic sorted NK cells…
- GSM6918475 splenic sorted NK cells, wild type, rep2 splenic sorted NK cells…
- GSM6918476 splenic sorted NK cells, wild type, rep3 splenic sorted NK cells…
- GSM6918477 splenic sorted NK cells, knockout, rep1 splenic sorted NK cells…
- GSM6918478 splenic sorted NK cells, knockout, rep2 splenic sorted NK cells…
- GSM6918479 splenic sorted NK cells, knockout, rep3 splenic sorted NK cells…
- GSM6918480 splenic sorted NK cells, wild type, d2 MCMV, rep1 splenic sorted NK cells…
- GSM6918481 splenic sorted NK cells, wild type, d2 MCMV, rep2 splenic sorted NK cells…
- GSM6918482 splenic sorted NK cells, knockout, d2 MCMV, rep1 splenic sorted NK cells…
- GSM6918483 splenic sorted NK cells, knockout, d2 MCMV, rep2 splenic sorted NK cells…
- GSM6918484 splenic sorted NK cells, knockout, d2 MCMV, rep3 splenic sorted NK cells…
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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.