Evidence map›Paper›PMID 38233783›Full record

ArticleBMC bioinformatics2024

SperMD: the expression atlas of sperm maturation.

Yifan Li, Qianying Li, Lvying Wu, Haiyan Wang, Hui Shi, Chenhui Yang, Yiqun Gu, Jianyuan Li, Zhiliang Ji

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Yifan LiSchool of Informatics, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Qianying LiState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China.
Lvying WuState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China.
Haiyan WangShandong Epihealth Biotech Ltd., Yantai, China.
Hui ShiCollege of Life Science, Yantai University, Yantai, China.
Chenhui YangSchool of Informatics, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Yiqun GuInstitute of science and technology, National Health Commission, Beijing, China. guyiqun@nrifp.org.cn.
Jianyuan LiShandong Epihealth Biotech Ltd., Yantai, China. lijianyuan2021@126.com.
Zhiliang JiState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China. appo@xmu.edu.cn.
Xiamen University · CNNational Health and Family Planning Commission · CNYantai University · CN

Funding

Major Innovation Project of Research Institute of National Health Commission #2022GJZD01-3National Key R&D Program of China #2018YFC1003600
6 · The paper itself

Abstract

The impairment of sperm maturation is one of the major pathogenic factors in male subfertility, a serious medical and social problem affecting millions of global couples. Regrettably, the existing research on sperm maturation is slow, limited, and fragmented, largely attributable to the lack of a global molecular view. To fill the data gap, we newly established a database, namely the Sperm Maturation Database (SperMD, http://bio-add.org/SperMD ). SperMD integrates heterogeneous multi-omics data (170 transcriptomes, 91 proteomes, and five human metabolomes) to illustrate the transcriptional, translational, and metabolic manifestations during the entire lifespan of sperm maturation. These data involve almost all crucial scenarios related to sperm maturation, including the tissue components of the epididymal microenvironment, cell constituents of tissues, different pathological states, and so on. To the best of our knowledge, SperMD could be one of the limited repositories that provide focused and comprehensive information on sperm maturation. Easy-to-use web services are also implemented to enhance the experience of data retrieval and molecular comparison between humans and mice. Furthermore, the manuscript illustrates an example application demonstrated to systematically characterize novel gene functions in sperm maturation. Nevertheless, SperMD undertakes the endeavor to integrate the islanding omics data, offering a panoramic molecular view of how the spermatozoa gain full reproductive abilities. It will serve as a valuable resource for the systematic exploration of sperm maturation and for prioritizing the biomarkers and targets for precise diagnosis and therapy of male subfertility.

Indexed as

Infertility, MaleSperm MaturationAnimalsEpididymisHumansMaleMiceSemenSpermatozoaDatabaseData integrationMale subfertilityMulti-omicsSperm maturation

Identifiers

PMID38233783
PMCPMC10792849
OpenAlexW4390947850

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.