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Heterogeneous gene expression during early arteriovenous fistula remodeling suggests that downregulation of metabolism predicts adaptive venous remodeling

GSE244317 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2023/10/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 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.
Summary (written by the submitters)
Background: Although clinical outcome of arteriovenous fistula (AVF) as a preferred vascular access for hemodialysis has been inadequate, biological mechanisms of AVF maturation and failure is still poorly understood. Since our mouse AVF model recapitulates human AVF maturation and partial failure, we hypothesized that high throughput RNA sequencing (RNA-seq) analysis would identify early changes in gene expression that might predict AVF maturation and failure.
Read the full summary ↓
Method: Aortocaval fistula creation (AVF group) or sham operation (sham group) was performed with C57BL/6 mice (10 wk). Ultrasound was performed to confirm the AVF patency and to measure hemodynamics. Venous limbs were collected on postoperative day 7 and total RNA was extracted. After Poly-A mRNA libraries were constructed, RNA-seq was performed. Differentially expressed genes (DEG) were identified, and subsequent enrichment analyses of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were performed with bioinformatics techniques. Results: 1057 DEG were identified between the AVF and sham groups. Genes in metabolic pathways were significantly downregulated in the AVF. Since gene expression patterns among the AVF group were significantly heterogenous, the AVF group was divided into 2 groups (‘normal’ AVF group; nAVF and ‘outliers’ group; OUT), and subgroup analyses were performed. Although physiological data of body weight change and hemodynamics were not different between the nAVF and OUT groups, 413 DEG were identified between them. Enrichment analyses showed significant overrepresentation of metabolism, immunity, and coagulation in the OUT group. Comparing the nAVF group with the sham group, 403 DEG were identified. Enrichment analyses showed increase of gene expression related to cell cycle, extracellular matrix, and immunity. Comparing these results with previously published data, the gene expression patterns of the nAVF group was consistent with AVF maturation and adaptive remodeling, whereas the OUT group showed attenuated difference, suggesting the heterogeneity of the AVF group reflects early gene expression changes in the process of AVF maturation and failure. Significant sex differences were not observed in the AVF group. Conclusions: A small subset of AVF undergoes aberrant biological processes in the early phase including diminished ECM remodeling, activated coagulation and upregulated metabolism, that could lead to fistula failure. Detection of these processes might be a viable translational strategy to predict fistula failure and reduce patient morbidity.
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 GSE244317_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 PRJNA1022398 and SRA study SRP463833. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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