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Integrated Metagenomics and Transcriptomics Analysis Reveals Pathways Associated with Oral Periapical Lesions Formation and Progression

GSE299006 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/06/25 Platform GPL24014
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 4 × Abscess vs 4 × Cyst vs 4 × Granuloma vs 4 × Healthy 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.
Paper
Integrated metagenomics and transcriptomics analysis reveals pathways associated with oral periapical lesions formation and progressionCurrent research in microbial sciences · 2025
Summary (written by the submitters)
Periapical abscesses, radicular cysts, and periapical granulomas are among the most frequently identified pathological lesions in the alveolar bone. Although many studies have investigated bacterial metagenomics in periapical abscesses, little is known about the genome mining of abundant bacteria of periapical lesions and its correlation to human transcriptome.
Read the full summary ↓
This study aims to explore the enriched metabolic environment of periapical lesions associated with microbial diversity and their role in lesion progression. Bacterial DNA and human RNA were isolated from periapical lesions and healthy pulp tissue and sequenced using next-generation sequencing. Bacterial sequences were then analyzed to identify secondary metabolites, pathogenic proteins, and their associated metabolic pathways. Integrated bacterial and human metabolic pathways indicated similar pathways in each lesion. Among these pathways, inflammatory response, humoral immune response, and hemopoiesis were enriched in abscesses. NABA matrisome associated, neutrophil degranulation, and P73 pathway were enriched in cysts. Meanwhile, response to bacterium, regulation of immune effector process, and positive regulation of response to external stimulus were enriched in granulomas. In conclusion, this study is the first to elucidate the interplay between microbial and human metabolic activity. These findings have significant clinical implications for the early diagnosis, prevention, and treatment of periapical lesions.
Published in
Integrated metagenomics and transcriptomics analysis reveals pathways associated with oral periapical lesions formation and progression
Altaie AM, Venkatachalam T, Patil K et al. · Current research in microbial sciences 2025 · PMID 40791803 · doi:10.1016/j.crmicr.2025.100443
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 GSE299006_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 PRJNA1272096 and SRA study SRP589930. Searching any of these in the dataset finder brings you back here.

Study design
4 × Abscess vs 4 × Cyst vs 4 × Granuloma vs 4 × Healthy control

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
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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.