Evidence map›Paper›PMID 40240910›Full record

ArticleBMC genomic data2025

Profiling the full-length transcriptome of plasma cell mastitis via nanopore sequencing.

Su Li, Hongyue Chen, Yan Fan, Can Wang, Lijing An, Qifeng Xu, Wenming Cai, Suzhen Zhao, Tian Tian, Baoyong Zhang and 2 more

Abstract read
In one paragraph

Article in BMC genomic data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Su LiDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China. lisu11777@163.com.
Hongyue ChenDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Yan FanDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Can WangDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Lijing AnDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Qifeng XuDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Wenming CaiDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Suzhen ZhaoDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Tian TianDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Baoyong ZhangDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Mengmeng YangDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.
Lulu ZhangDepartment of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.

Funding

the Special Subject of Scientific Research on Traditional Chinese Medicine in Henan Province no. 2021ZY2203
6 · The paper itself

Abstract

introductionIn this study, we aimed to determine the transcriptomic profile of plasma cell mastitis (PCM) and elucidate its underlying mechanisms using nanopore sequencing technology (ONT). METHODS AND

resultsThrough comparisons and analyses of redundantly removed transcripts with known reference genome annotations, we identified 39,408 novel transcripts and 20,980 genes. By exploring full-length transcriptome data, we characterized selective splicing, selective polyadenylation events, and simple sequence repeat (SSR) site information, which enhanced our understanding of genome annotation and gene structure in plasma cell mastitis. Additionally, we investigated predicted transcription factors and LncRNAs, screening those with differences for further investigations. The GO and KEGG enrichment analysis of differentially expressed genes (DEGs) and differentially expressed transcripts (DETs) revealed subtle distinctions between them, with primary enrichments being in immune response and intercellular interactions. Our protein-protein interaction (PPI) analysis of hub proteins from DETs indicated up-regulated genes' involvement in immune response and down-regulated genes' role in cell adhesion. Furthermore, we assessed immune cell infiltration in plasma cell mastitis, observing various immune cells, such as B cells, T cells, and DC cells.

conclusionThese preliminary findings offer novel insights into the pathogenesis of plasma cell mastitis and present promising ideas for optimizing personalized treatment approaches, warranting further exploration and follow-up studies.

Indexed as

Gene Expression ProfilingMastitisNanopore SequencingPlasma CellsTranscriptomeAnimalsCattleFemaleHumansDifferentially expressed genesFull-length transcriptomeGOImmune cellKEGGPlasma cell mastitis

Identifiers

PMID40240910
PMCPMC12001594

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.