Evidence map›Paper›PMID 40303782›Full record

ArticleTransboundary and emerging diseases2023

Transcriptomic and Proteomic Approaches Reveal the Biological Functions of Two Novel Porcine-Origin Noncoding DNA Molecules.

Libin Wen, Jianping Xie, Qi Xiao, Kongwang He

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Libin WenInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.ORCID https://orcid.org/0000-0002-9286-0213
Jianping XieInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
Qi XiaoInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
Kongwang HeInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.ORCID https://orcid.org/0000-0002-8213-009X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine circovirus-like mini agents (PCVLs) with small circular noncoding DNA genomes have recently been discovered in animals. Currently, the biological activity of PCVLs remains unclear. In this study, we conducted transcriptomic and proteomic analyses to compare the differential expression of genes and proteins in the livers of PCVL258/PCVL264 molecular clone-infected and mock-infected BALB/c mice at 7 and 28 days postinfection (dpi). Gene Ontology/Kyoto Encyclopedia of Genes and Genomes association analysis of the transcriptome and proteome showed that the differentially expressed genes and proteins (DEGs and DEPs) in the livers of PCVL258-infected mice were predominantly enriched in metabolic, cancer, and neurodegenerative disease signaling pathways. On the other hand, the DEGs and DEPs in the livers of PCVL264-infected mice were principally related to metabolic, reproductive, and pancreatic-associated pathways. We present the first application of transcriptomics combined with proteomics to determine the biological activities of small pathogen-associated DNA molecules, thus providing valuable information for understanding small circular DNA molecules that cannot encode proteins in the generation of specific human diseases.

Indexed as

Circoviridae InfectionsCircovirusDNA, ViralSwine DiseasesTranscriptomeAnimalsGene Expression ProfilingLiverMiceMice, Inbred BALB CProteomeProteomicsSwineDNA, ViralProteome

Identifiers

PMID40303782
PMCPMC12017216

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.