Single-cell sequencing analysis reveals the tissue architecture and empowers clinical trial in advanced conjunctival melanoma
Single-cell RNA-seq · human · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
- Single-cell sequencing depicts tumor architecture and empowers clinical decision in metastatic conjunctival melanomaCell discovery · 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 GSE217707_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA900194 and SRA study SRP407207. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 sample titles: 10 distinct titles with little repetition. 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.
- GSM6725251 Con0914,benign conjunctival lesion
- GSM6725252 Con0923,benign conjunctival lesion
- GSM6725253 Nev1013,benign conjunctival lesion
- GSM6725254 Mel0618,conjunctival melanoma
- GSM6725255 Mel0622,conjunctival melanoma
- GSM6725256 Mel0701,conjunctival melanoma
- GSM6725257 Mel0722,conjunctival melanoma
- GSM6725258 Mel0909,conjunctival melanoma
- GSM6725259 Mel1022,conjunctival melanoma
- GSM8096665 Mel0911,conjunctival melanoma
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- GSE266265 Endometrial Insights: Unmasking Endometriosis through Single-Cell Profiling and AI-Based Prediction 60 samples shares single-cell, trial
- GSE335480 Single-cell tracking reveals tumor-reactive T cell plasticity during melanoma TIL therapy 38 samples shares single-cell, melanoma
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares architecture, single-cell
- GSE281740 single-cell RNA-sequence data of clinical small cell lung cancer samples 19 samples shares single-cell, clinical
- GSE318490 Single-cell RNA-seq of tumor samples from six advanced HGSOC patients across treatment stages (pre-NACT, post-NACT and platinum-sensitive recurrence) 10 samples shares single-cell, advanced
- GSE337829 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [ChIP-Seq] 32 samples shares architecture, single-cell
- GSE277165 Single-cell transcriptomics and epigenomics point to CD58/CD59-CD2 interactions in controlling primary melanoma growth and immunity 20 samples shares single-cell, melanoma
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.