Col1a1 Knockdown Suppresses EMT, Migration, and Invasion of Oral Squamous Cell Carcinoma both In Vitro and In Vivo.
Single-cell RNA-seq · human · 8 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Head and neck cancerThis series is part of our curated briefing on it.
- Samples
- 8 samples: 4 × RNA-seq_KD vs 4 × RNA-seq_ControlGroups 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.
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 GSE336973_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 PRJNA1483667 and SRA study SRP713603. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 2 replicated groups read from 8 sample titles; they account for 8 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.
- GSM9845575 RNA-seq_KD_Rep1 RNA-seq_KD
- GSM9845576 RNA-seq_KD_Rep2 RNA-seq_KD
- GSM9845577 RNA-seq_KD_Rep3 RNA-seq_KD
- GSM9845578 RNA-seq_KD_Rep4 RNA-seq_KD
- GSM9845579 RNA-seq_Control_Rep1 RNA-seq_Control
- GSM9845580 RNA-seq_Control_Rep2 RNA-seq_Control
- GSM9845581 RNA-seq_Control_Rep3 RNA-seq_Control
- GSM9845582 RNA-seq_Control_Rep4 RNA-seq_Control
- GSE140042 Single-cell atlas of head and neck squamous cell carcinoma 18 samples same disease briefing · shares squamous
- GSE185965 Single cell RNA sequencing of head and neck squamous carcinoma (HNSCC) patient sample 3 samples same disease briefing · shares squamous
- GSE173647 Single-cell Sequencing Analysis of Head and Neck Squamous Cell Carcinoma 2 samples same disease briefing · shares squamous
- GSE176077 RNA-seq profiling of salivary transcriptome reveals potential diagnostic RNAs and oral microbial dysbiosis in oral squamous cell carcinoma 28 samples same disease briefing · shares squamous
- GSE173161 Comparative analysis of gene expression after Oct4 or Scrambled siRNA knockdown in HNSCC cell lines 18 samples same disease briefing · shares knockdown
- GSE103322 Single cell RNA-seq analysis of head and neck cancer 5901 samples same disease briefing
- GSE139324 Immune landscape of viral- and carcinogen-drived head and neck cancer 63 samples same disease briefing
- GSE162738 Immune gene signatures in oropharyngeal cancers are associated with inverse prognosis by HPV-status 51 samples same disease briefing
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.