Evidence map›Paper›PMID 37667177›Full record

ArticleBMC genomics2023

Integrated analysis of the ubiquitination mechanism reveals the specific signatures of tissue and cancer.

Deyu Long, Ruiqi Zhang, Changjian Du, Jiapei Tong, Yu Ni, Yaqi Zhou, Yongchun Zuo, Mingzhi Liao

Abstract read
In one paragraph

Article in BMC genomics, 2023. 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. Article
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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

8 authors.

Deyu LongCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China.
Ruiqi ZhangCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China.
Changjian DuCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China.
Jiapei TongCollege of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China.
Yu NiCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China.
Yaqi ZhouCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China.
Yongchun ZuoState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, 010070, Hohhot, China. yczuo@imu.edu.cn.
Mingzhi LiaoCenter of Bioinformatics, College of Life Sciences, Northwest A&F University, 712100, Yangling, Shaanxi, China. liaomingzhi83@163.com.

Funding

National Natural Science Foundation of China 62072377Science and Technology Major Project of Inner Mongolia Autonomous Region of China to the State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock 2021ZD0048
6 · The paper itself

Abstract

backgroundUbiquitination controls almost all cellular processes. The dysregulation of ubiquitination signals is closely associated with the initiation and progression of multiple diseases. However, there is little comprehensive research on the interaction and potential function of ubiquitination regulators (UBRs) in spermatogenesis and cancer.

methodsWe systematically characterized the mRNA and protein expression of UBRs across tissues and further evaluated their roles in testicular development and spermatogenesis. Subsequently, we explored the genetic alterations, expression perturbations, cancer hallmark-related pathways, and clinical relevance of UBRs in pan-cancer.

resultsThis work reveals heterogeneity in the expression patterns of UBRs across tissues, and the expression pattern in testis is the most distinct. UBRs are dynamically expressed during testis development, which are critical for normal spermatogenesis. Furthermore, UBRs have widespread genetic alterations and expression perturbations in pan-cancer. The expression of 79 UBRs was identified to be closely correlated with the activity of 32 cancer hallmark-related pathways, and ten hub genes were screened for further clinical relevance analysis by a network-based method. More than 90% of UBRs can affect the survival of cancer patients, and hub genes have an excellent prognostic classification for specific cancer types.

conclusionsOur study provides a comprehensive analysis of UBRs in spermatogenesis and pan-cancer, which can build a foundation for understanding male infertility and developing cancer drugs in the aspect of ubiquitination.

Indexed as

Infertility, MaleNeoplasmsClinical RelevanceCognitionHumansMaleUbiquitinationCancerIntegrative analysisPrognosticSpermatogenesisUbiquitination regulator

Identifiers

PMID37667177
PMCPMC10478310

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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.