Heterogeneous Immune Landscapes and Macrophage Dynamics in Primary and Lung Metastatic Adenoid Cystic Carcinoma of the Head and Neck
RNA-seq (gene expression) · human · 89 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
- 89 samples: 34 × lung metastasis tumo vs 25 × primary tumo vs 19 × lung normal tissue vs 11 × primary normal tissueGroups 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
- Heterogeneous immune landscapes and macrophage dynamics in primary and lung metastatic adenoid cystic carcinoma of the head and neckFrontiers in immunology · 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 GSE282732_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 PRJNA1190084 and SRA study SRP547244. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 34 samples read as cases, 30 as controls.
How we read this: 4 replicated groups read from 89 sample titles; they account for 89 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.
- GSM8649403 primary normal tissue 1 primary normal tissue
- GSM8649404 primary normal tissue 2 primary normal tissue
- GSM8649405 primary normal tissue 3 primary normal tissue
- GSM8649406 primary normal tissue 4 primary normal tissue
- GSM8649407 primary normal tissue 5 primary normal tissue
- GSM8649408 primary normal tissue 6 primary normal tissue
- GSM8649409 primary normal tissue 7 primary normal tissue
- GSM8649410 primary normal tissue 8 primary normal tissue
- GSM8649411 primary normal tissue 9 primary normal tissue
- GSM8649412 primary normal tissue 10 primary normal tissue
- GSM8649413 primary normal tissue 11 primary normal tissue
- GSM8649414 primary tumor 1 primary tumo
- GSM8649415 primary tumor 2 primary tumo
- GSM8649416 primary tumor 3 primary tumo
- GSM8649417 primary tumor 4 primary tumo
- GSM8649418 primary tumor 5 primary tumo
- GSM8649419 primary tumor 6 primary tumo
- GSM8649420 primary tumor 7 primary tumo
- GSM8649421 primary tumor 8 primary tumo
- GSM8649422 primary tumor 9 primary tumo
- GSM8649423 primary tumor 10 primary tumo
- GSM8649424 primary tumor 11 primary tumo
- GSM8649425 primary tumor 12 primary tumo
- GSM8649426 primary tumor 13 primary tumo
- GSM8649427 primary tumor 14 primary tumo
- GSM8649428 primary tumor 15 primary tumo
- GSM8649429 primary tumor 16 primary tumo
- GSM8649430 primary tumor 17 primary tumo
- GSM8649431 primary tumor 18 primary tumo
- GSM8649432 primary tumor 19 primary tumo
- GSM8649433 primary tumor 20 primary tumo
- GSM8649434 primary tumor 21 primary tumo
- GSM8649435 primary tumor 22 primary tumo
- GSM8649436 primary tumor 23 primary tumo
- GSM8649437 primary tumor 24 primary tumo
- GSM8649438 primary tumor 25 primary tumo
- GSM8649439 lung normal tissue 1 lung normal tissue
- GSM8649440 lung normal tissue 2 lung normal tissue
- GSM8649441 lung normal tissue 3 lung normal tissue
- GSM8649442 lung normal tissue 4 lung normal tissue
+ 49 more — browse all 89 samples with per-sample file links →
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares metastatic, primary
- GSE319722 Spatial dynamics links PD-L1 and Tumor-Associated Macrophage–Enriched Niches to Immune and Mesenchymal States in microsatellite stable colorectal cancer 117 samples shares macrophage, dynamics
- GSE289582 Baseline tumor features and peripheral blood immune dynamics that underlie efficacy in MSS metastatic colorectal cancer treated with regorafenib, ipilimumab, and nivolumab [Blood] 115 samples shares metastatic, dynamics
- GSE334033 A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer 105 samples shares metastatic, primary
- GSE268308 Transcriptional analysis of metastatic hormone-naïve prostate cancer primary tumour biopsies reveals a relevant role for SOX11 in prostate cancer cell dissemination [Discovery dataset] 78 samples shares metastatic, primary
- GSE300628 HER2 heterogeneous breast cancer models reveal novel therapeutic targets and subclonal dynamics during evolution to resistance to HER2-targeted therapies 60 samples shares heterogeneous, dynamics
- GSE316391 Chromatin accessibility and gene expression profiling of primary and metastatic ER+ breast cancer [RNA-seq] 32 samples shares metastatic, primary
- GSE296345 Paired-end RNA Sequencing on primary human umbilical endothelial cells (HUVEC) exposed to uninfected or bacterially-infected PMA-differentiated macrophage-like U937 for 8 or 24 h 24 samples shares macrophage, primary
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.