Evidence map›Paper›PMID 33991202›Full record

ArticleCurrent microbiology2021

Proteomic Analysis of the Responses to Co-Stimulation of Intestinal Aeromonas and Shewanella in Lamprey Leukocytes.

Jingrui Zhang, Jiexin Song, Siqing Wang, Yingjie Song, Qingwei Li, Yingying Li

Abstract read
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In one paragraph

Article in Current microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Jingrui Zhang *School of Life Science, Liaoning Normal University, Dalian, China.
Jiexin Song *School of Life Science, Liaoning Normal University, Dalian, China.
Siqing Wang *School of Life Science, Liaoning Normal University, Dalian, China.
Yingjie SongSchool of Life Science, Liaoning Normal University, Dalian, China.
Qingwei LiSchool of Life Science, Liaoning Normal University, Dalian, China.
Yingying LiSchool of Life Science, Liaoning Normal University, Dalian, China. liyingying16@163.com.ORCID http://orcid.org/0000-0003-3243-1975
Liaoning Normal University · CN

Funding

Dalian High-level Talents Innovation Program 2019RQ065Natural Science Foundation of China 31500106
6 · The paper itself

Abstract

Lamprey, one of the most basal jawless vertebrate, is an excellent model for studying vertebrate evolution, embryo development, and the origin of adaptive immunity. This study investigated the differentially expressed proteins in lamprey leukocytes in response to the co-stimulation of intestinal Aeromonas and Shewanella by using quantitative proteomics techniques. Significant differentially expressed proteins were identified. Gene Ontology annotation and the Kyoto Encyclopedia of Genes and Genomes pathway based on the significant differentially expressed proteins were analyzed. Most of the differentially expressed proteins were predicted to be involved in important signaling pathways. Quantitative real-time polymerase chain reaction was used to verify the expression of differentially expressed proteins at the mRNA level. The expression of some differentially expressed proteins was not consistent at the mRNA and protein levels. Differentially expressed proteins that are essential for lamprey-intestinal bacteria interaction should be identified to understand the lamprey adaptive immune response induced by gut microbiota.

Indexed as

AeromonasShewanellaAnimalsLampreysLeukocytesProteomics

Identifiers

PMID33991202
OpenAlexW3163132158

What OpenQuestion holds

Textmetadata
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.