← BioTransfer GEO Dataset Finder
GEO series

Establishment and Characterization of a New Immortalized Human Oral Keratinocyte (HOK) Cell Line Harboring Various TP53 Mutations

GSE305620 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/05/06 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples
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
Establishment and characterization of a new immortalized human oral keratinocyte (HOK) cell line harboring various TP53 mutationsOral oncology · 2026
Summary (written by the submitters)
Head and neck squamous cell carcinoma (HNSCC) is characterized by frequent TP53 mutations, which include gain-of-function (GOF) variants that drive tumor progression and chemoresistance. While genomic evidence across multiple invasive and metastatic specimens indicates TP53 loss or mutation occurs relatively early in HNSCC carcinogenesis, it has been difficult to discern how TP53 mutation drives further tumor evolution and influences the tumor microenvironment.
Read the full summary ↓
To address this question, we generated an immortalized human oral keratinocyte (HOK) cell line expressing various TP53 mutant forms to determine how mutations impact functional and genomic characteristics of HOKs that can in turn drive their evolution to neoplastic cells. Key results revealed significant phenotypic and molecular divergence: high-risk lines exhibited enhanced invasiveness and chemoresistance compared to low-risk counterparts. Weighted gene co-expression network analysis (WGCNA) linked high-risk mutations to pro-metastatic pathways and stress-response signatures, with the C238F line uniquely enriched for p53-related GOF mechanisms.
Published in
Establishment and characterization of a new immortalized human oral keratinocyte (HOK) cell line harboring various TP53 mutations
Zhao M, Liu Z, Kawabe M et al. · Oral oncology 2026 · PMID 41319400 · doi:10.1016/j.oraloncology.2025.107799
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE305620_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1307293 and SRA study SRP609578. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 15 more — browse all 15 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.