Evidence map›Paper›PMID 39457397›Full record

ArticleGenes2024

Transcriptomic and Proteomic Analyses of the Immune Mechanism in Pathogenetic and Resistant Chinese Soft-Shelled Turtle (

Lingrui Ge, Zi'ao Wang, Yazhou Hu, Pei Wang, Qin Qin, Yu Tian, Xiaoqing Wang, Xingxing Wen, Dan Zeng

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Lingrui GeCollege of Animal Science and Technology, Hunan Biological and Electromechanical Polytechnic, Changsha 410127, China.
Zi'ao WangCollege of Animal Science and Technology, Hunan Biological and Electromechanical Polytechnic, Changsha 410127, China.
Yazhou HuFisheries College, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-8382-4608
Pei WangCollege of Biology and Environmental Sciences, Jishou University, Jishou 416000, China.
Qin QinFisheries College, Hunan Agricultural University, Changsha 410128, China.
Yu TianFisheries College, Hunan Agricultural University, Changsha 410128, China.
Xiaoqing WangFisheries College, Hunan Agricultural University, Changsha 410128, China.
Xingxing WenCollege of Animal Science and Technology, Hunan Biological and Electromechanical Polytechnic, Changsha 410127, China.
Dan ZengCollege of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.

Funding

the Hunan Provincial Education Department Funding Project 23B1005the Natural Science Foundation of Hunan Province 2024JJ8038the Scientific research project of Hunan Biological And Electromechanical Polytechnic 21TD03
6 · The paper itself

Abstract

backgroundAs intensive aquaculture practices have progressed, the prevalence of bacterial diseases in the Chinese soft-shell turtle (

methodsOur study pioneers an integrated analysis of transcriptomics and proteomics to investigate the immune responses of Chinese soft-shelled turtles to

resultsThe investigation revealed significant differences in immune-related pathways between groups susceptible and resistant to

conclusionsThe transcriptomic and proteomic data obtained from this study provide a scientific foundation for understanding the immune mechanisms that enable the Chinese soft-shelled turtle to resist

Indexed as

Aeromonas hydrophilaGram-Negative Bacterial InfectionsProteomicsTranscriptomeTurtlesAnimalsDisease ResistanceGene Expression ProfilingProteomeProteomeAeromonas hydrophilaimmune mechanismPelodiscus sinensisproteomictranscriptomic

Identifiers

PMID39457397
PMCPMC11508015

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.