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Saliva alleviates hypertension through enrichment of intestinal Bacteroides thetaiotaomicron

GSE283766 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2024/12/31 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 14 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
Mus musculus (mouse)
Samples
14 samples: 6 × Colon of mice gavaged by PBS biol vs 6 × Colon of mice gavaged by Bacteroides thetaiotaomicron biolGroups 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)
Oral environment is closely linked to blood pressure regulation, yet the underlying mechanisms remain poorly understood. In this study, we demonstrated that saliva, abundantly secreted in the oral cavity, played a critical role in sustaining the abundance of Bacteroides thetaiotaomicron (Bt) in the gut microbiota, contributing to lowering blood pressure.
Read the full summary ↓
Further investigation revealed that the mechanism driving this process originated from mucins and metal ions in saliva, which work synergistically to promote Bt growth. In turn, the significantly increased gut abundance of Bt contributed to blood pressure downregulation indirectly by synthesizing short-chain fatty acids and regulating sodium ion channels in the gut. Based on these findings, a unique saliva-driven surface-engineered probiotic strain was developed to advance clinical translational potential by boosting in vivo bioavailability, thus improving blood pressure management. This study not only revealed that saliva lowered blood pressure through gut microbiota but also proposes a novel perspective to hypertension management.
This dataset
Open GSE283766 in finder → Find more mouse RNA-seq datasets →
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 GSE283766_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 PRJNA1195560 and SRA study SRP550049. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 × Colon of mice gavaged by PBS biol vs 6 × Colon of mice gavaged by Bacteroides thetaiotaomicron biol

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 14 sample titles; they account for 12 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
Datasets on a similar topic

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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.