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Fusobacterium nucleatum FadA promotes the progression of esophageal squamous cell carcinoma through binding to TFRC

GSE326337 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/04/04 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 9 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)
Topic
Esophageal cancerThis series is part of our curated briefing on it.
Samples
9 samples: 3 × FadA vs 3 × 0M vs 3 × NCGroups 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.
Summary (written by the submitters)
In China, esophageal squamous cell carcinoma (ESCC) represents the major histopathological form of esophageal cancer. Fusobacterium nucleatum (F. nucleatum, Fn) has been reported to be associated with ESCC. FadA has been identified exclusively in F. nucleatum. However, the potential role and underlying mechanism of FadA in ESCC remain unclear.
Read the full summary ↓
Whole genome sequencing (WGS) data of ESCC tissue from NCBI database were analyzed to characterize the microbial composition of ESCC. The relative expression of Fn and FadA was validated by qPCR in another ESCC tissue cohort. An E. coli BL21 (DE3) expression system was utilized to express FadA. After purification, FadA was co-cultured with KYSE150 cells. Cell migration, proliferation, and invasion were evaluated by wounding-healing, CCK-8, and Transwell migration and invasion assays. RNA and proteomic sequencing analysis were performed to identify the altered molecule initiated by FadA treatment. TFRC was further validated by knockout and overexpression in KYSE150 cells. Molecular docking, molecular dynamics simulations, and normal mode analysis (NMA) were used to predict and evaluate the interaction between FadA and TFRC. ESCC tissue exhibited decreased α-diversity and distinct microbial composition, with significant enrichment in F. nucleatum. FadA expression was significantly elevated in ESCC tissue samples. Functional assays illustrated that FadA promoted the migration, proliferation, and invasion of ESCC cells. Integrated RNA and proteomic sequencing identified TFRC as a key upregulated target after FadA treatment, which was further confirmed by TFRC overexpression and knockout. Computational analysis supported a stable interaction between FadA and TFRC. FadA is upregulated in ESCC and promotes the migration, proliferation, and invasion in ESCC through TFRC. FadA may serve as a potential biomarker and therapeutic target in ESCC.
This dataset
Open GSE326337 in finder → Find more human RNA-seq datasets → Esophageal cancer landscape →
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.

Series matrix ↓
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 GSE326337_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1445125 and SRA study SRP687717. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × FadA vs 3 × 0M vs 3 × NC

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.

Samples in this study
More Esophageal cancer datasets

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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.