# 4D-DIA Proteomic Analysis of IPEC-J2 Cells Infected with Porcine Group A Rotavirus G9P[23] Strain

**Authors:** Zhendong Zhang, Yubo Li, Xingyu Zhou, Duo Li, Muyao Li, Xueyang Wang, Qinghai Ren, Xiaowen Li

PMC · DOI: 10.3390/vetsci12100946 · Veterinary Sciences · 2025-09-30

## TL;DR

This study uses advanced proteomic analysis to explore how porcine rotavirus affects intestinal cells, revealing key proteins and pathways involved in infection and immune response.

## Contribution

The study introduces 4D-DIA proteomic analysis to investigate host-pathogen interactions in porcine rotavirus infection, identifying novel differentially abundant proteins and their biological roles.

## Key findings

- 4D-DIA identified 8725 cellular proteins, with 279 more abundant and 356 under-detected proteins in infected cells.
- Western blot confirmed proteomic data for S100A8, DAPK2, and FTL proteins.
- Bioinformatics revealed DAPs involved in immune response, signal transduction, and metabolic pathways.

## Abstract

Porcine rotavirus (PoRV) is a significant pathogen causing gastroenteritis in pigs and has recently emerged as an epidemic in China. In this study, 4D-DIA proteomic analysis was performed on PoRV-infected IPEC-J2 cells, identifying 8725 cellular proteins, including 279 more abundant and 356 under-detected proteins. Western blot validation confirmed consistent expression patterns of S100A8, DAPK2, and FTL with the proteomic data. Bioinformatics analysis revealed that these DAPs were involved in critical biological processes such as immune response, signal transduction, and metabolic pathways. RT-qPCR analysis demonstrated pronounced inflammatory responses during infection. These findings provide critical insights into pathogenic mechanisms and host defense strategies underlying PoRV infection.

Porcine rotavirus (PoRV) is one of the most devastating enteric pathogens causing gastroenteritis in pigs, particularly the sudden occurrence in recent years in China. To elucidate host–pathogen interactions and molecular mechanisms underlying PoRV pathogenesis, four-dimensional (4D) data-independent acquisition (DIA) proteomic (4D-DIA) analysis was performed to comprehensively quantify the differentially abundant proteins (DAPs) in PoRV-infected IPEC-J2 cells. A total of 8725 cellular proteins were identified with 279 more abundant and 356 down abundant proteins. A Western blot showed that the abundance of SA100A8, DAPK2, and FTL were in accordance with the acquired proteomic data using 4D-DIA analysis. Bioinformatics analyses of GO and KEGG demonstrated that various DAPs are involved in crucial biological processes and signaling pathways, such as immune response, signal transduction, metabolic pathways, autophagy, endoplasmic reticulum (ER) stress, and mitochondrial dysfunction. Notably, inflammatory features of host response upon PoRV infection were highlighted, with RT-qPCR confirming the significant upregulation of IL-1α, IL-6, IL-8, TNF-α, STAT1, and IRF9 transcript levels during infection. Altogether, our preliminary findings advance our understanding of PoRV pathogenesis and may shed light on identifying potential targets for the prevention and control of PoRV-associated gastroenteritis.

## Linked entities

- **Genes:** S100A8 (S100 calcium binding protein A8) [NCBI Gene 6279], DAPK2 (death associated protein kinase 2) [NCBI Gene 23604], FTL (ferritin light chain) [NCBI Gene 2512], IL1A (interleukin 1 alpha) [NCBI Gene 3552], IL6 (interleukin 6) [NCBI Gene 3569], CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576], TNF (tumor necrosis factor) [NCBI Gene 7124], STAT1 (signal transducer and activator of transcription 1) [NCBI Gene 6772], IRF9 (interferon regulatory factor 9) [NCBI Gene 10379]
- **Proteins:** S100A8 (S100 calcium binding protein A8), DAPK2 (death associated protein kinase 2), FTL (ferritin light chain)
- **Diseases:** gastroenteritis (MONDO:0002269)

## Full-text entities

- **Genes:** STAT1 (signal transducer and activator of transcription 1) [NCBI Gene 6772] {aka CANDF7, IMD31A, IMD31B, IMD31C, ISGF-3, STAT91}, IRF9 (interferon regulatory factor 9) [NCBI Gene 10379] {aka IRF-9, ISGF3, ISGF3G, p48}, IL1A (interleukin 1 alpha) [NCBI Gene 3552] {aka IL-1 alpha, IL-1A, IL1, IL1-ALPHA, IL1F1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, FTL (ferritin light chain) [NCBI Gene 2512] {aka FTL1, LFTD, NBIA3}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, DAPK2 (death associated protein kinase 2) [NCBI Gene 23604] {aka DRP-1, DRP1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}
- **Diseases:** infection (MESH:D007239), gastroenteritis (MESH:D005759), inflammatory (MESH:D007249), mitochondrial dysfunction (MESH:D028361)
- **Species:** Porcine rotavirus (no rank) [taxon 10913], PoRV [taxon 53179], Sus scrofa (pig, species) [taxon 9823]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12567895/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12567895/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12567895/full.md

---
Source: https://tomesphere.com/paper/PMC12567895