Harnessing Notch Signaling to Enhance the Generation and Functionality of Human Conventional Type I Dendritic Cells for Cancer Immunotherapy Applications
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 11 samples: 3 × cDC1_DLL1 vs 3 × cDC1_FF vs 3 × cDC1_OP9 vs 2 × cDC2_OP9Groups 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
- Harnessing Notch Signaling to Enhance the Generation and Functionality of Human Conventional Type 1 Dendritic Cells for Cancer Immunotherapy ApplicationsCancer immunology research · 2025
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 GSE273410_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 PRJNA1141561 and SRA study SRP522924. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
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.
- GSM8427816 cDC1_DLL1_rep1 cDC1_DLL1
- GSM8427817 cDC1_DLL1_rep2 cDC1_DLL1
- GSM8427818 cDC1_DLL1_rep3 cDC1_DLL1
- GSM8427819 cDC1_FF_rep1 cDC1_FF
- GSM8427820 cDC1_FF_rep2 cDC1_FF
- GSM8427821 cDC1_FF_rep3 cDC1_FF
- GSM8427822 cDC1_OP9_rep1 cDC1_OP9
- GSM8427823 cDC1_OP9_rep2 cDC1_OP9
- GSM8427824 cDC1_OP9_rep3 cDC1_OP9
- GSM8427825 cDC2_OP9_rep1 cDC2_OP9
- GSM8427826 cDC2_OP9_rep2 cDC2_OP9
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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.