Dataset Information

Astral-DIA Proteomics Deciphers the Molecular Landscape of Human Spermatozoa: A Comprehensive Quantitative Proteomic Characterization of Sperm Function and Fertility Potential

ABSTRACT: Male infertility is fundamentally rooted in developmental defects of germ cells and associated molecular dysregulation, yet the underlying mechanisms remain poorly understood. Data-independent acquisition (DIA) has emerged as a powerful tool in discovery proteomics, enabling the identification of disease biomarkers, therapeutic targets, and molecular pathways with high precision and reproducibility. To analyze the aberrant regulatory events in human sperm proteins associated with male reproductive disorders in a high-throughput, reproducible, and reliable manner, we employed the Orbitrap Astral mass spectrometer, which independently operates Orbitrap Full Scan and Astral MS/MS to generate high-resolution full-scan spectra and high-quality secondary maps. Leveraging the principles of data-independent acquisition (DIA) technology, we constructed the most comprehensive human sperm proteomic expression profile reported to date, encompassing 10,464 proteins, 200,951 precursors, 156,670 modified peptides, and 147,879 peptides.

INSTRUMENT(S): Orbitrap Astral

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Spermatozoon, Sperm Ejaculation, Sperm

SUBMITTER: Ran Kong

LAB HEAD: Ran Kong

PROVIDER: PXD061638 | Pride | 2025-03-10

REPOSITORIES: Pride

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The PRIDE database at 20 years: 2025 update.

Perez-Riverol Yasset Y Bandla Chakradhar C Kundu Deepti J DJ Kamatchinathan Selvakumar S Bai Jingwen J Hewapathirana Suresh S John Nithu Sara NS Prakash Ananth A Walzer Mathias M Wang Shengbo S Vizcaíno Juan Antonio JA

Nucleic acids research 20250101 D1

The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world's leading mass spectrometry (MS)-based proteomics data repository and one of the founding members of the ProteomeXchange consortium. This manuscript summarizes the developments in PRIDE resources and related tools for the last three years. The number of submitted datasets to PRIDE Archive (the archival component of PRIDE) has reached on average around 534 datasets per month. This has been possible thanks ...[more]

PMID: 39494541

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Project description:Infertility is a widespread problem, affecting around 15% of couples worldwide, and is defined as the inability to achieve pregnancy within one year despite unprotected intercourse 1. Infertility can be caused by either male or female reproductive issues. Various medical conditions including malignancies, infections, urogenital conditions, or genetic causes can contribute to male infertility. However, 30-40% of men in their reproductive age are affected by idiopathic infertility, according to the guidelines of European Association of Urology (EAU) 1. Towards a better understanding of male infertility, it is mandatory to achieve a comprehensive understanding of involved genes, their RNA transcripts, and regulatory factors, including miRNAs, which influence the expression level of proteins. Therefore, such proteins need to be identified to investigate their role in spermatogenesis and male infertility. Although there are numerous studies on RNAs, including miRNAs related to male infertility 2-9, there are few studies aiming to cover the whole proteome of human sperm 10. The sperm transcriptome comprises a total of 60,505 transcripts including 11,688 differentially expressed transcripts in infertile and fertile men, as reported by Joshi et al. (2022)11. The entire sperm proteome encompasses 6871 proteins, as summarized by Castillo et al. (2018)10. Nevertheless, there is still a lack of high-throughput studies aiming to identify dysregulated proteins in sperm from subfertile men. Only few studies focused on comparisons of the sperm proteome in men with asthenozoospermia and there is virtually no proteomic studies of oligoasthenozoospermic men 12. Some identified proteins in sperm have functions in maintaining sperm motility and enabling fertilization and are involved in structural composition and/or energy metabolism 12-14 and others are not yet functionally characterized. In this study, we employed Mass spectrometry (MS) technology that is still rarely used in the field of human reproductive research to investigate the proteomic landscape of human sperm and their differential expression patterns in men with subfertility.

Project description:A greater understanding of the proteins involved in reproduction can benefit animal production. New advances in proteomics are having a major impact on our understanding of how spermatozoa acquire their capacity for fertilization [1]. Sperm proteomics aims at the identification of the proteins that compose the sperm cell and the study of their function [2]. The sperm cell is one of the most highly differentiated cells and is composed of a head with a highly compacted chromatin structure and a large flagellum with midpiece that contains the required machinery for movement and therefore to deliver the paternal genetic and epigenetic content to the oocyte [3]. By being so highly differentiated, spermatozoa are advantageous cells to study proteomics of specific compartments such as the membrane, which basically is the area of major importance for its role in interacting with the surroundings and the oocyte [4]. The fusion of a sperm and an oocyte is a sophisticated process that must be preceded by suitable changes in the sperm's membrane composition [5]. Recent studies of spermatozoa from the proteomic point of view have allowed the identification of different proteins in spermatozoa that are responsible for the regulation of normal/defective sperm functions [6]. While several techniques are available in proteomics, LC-MS based analysis of complex protein/peptide mixtures has turned out to be a mainstream analytical technique for quantitative proteomics [7]. Using this method, detailed proteomic data are now available for human [8], macaque [9,10], mouse [11], rat [12], bull [13-15], stallion [16], fruit fly [17], Caenorhabditis elegans [18], carp [19], rainbow trout [20], mussel [21], ram [22], honeybee [23] and rooster [24] sperm membrane proteins. Rabbit (Oryctolagus cuniculus) is an important mammalian species worldwide, being at the same time of commercial interest and a research model animal. European rabbit meat production is approximately 500 thousand tons, corresponding to a 30% share of world production [25]. Besides, rabbits account for the seventh highest number of animals slaughtered per year in the European Union-27, with 347,603 × 1000 head in 2014 [26]. In a previous work, we identified and quantified rabbit seminal plasma proteins between two different genotypes [27], concluding the clear effect of genotype in the abundance of certain seminal plasma proteins. However, it is unknown at present whether these differences also exist at sperm proteome level. Therefore, the aim of the present study was to characterise rabbit sperm membrane proteins through NanoLC-MS/MS analysis focusing on the influence of the genetic origin.

Project description:In mature human sperm, genes of importance for embryo development (i.e. transcription factors) lack DNA methylation and bear nucleosomes with distinctive histone modifications, suggesting the specialized packaging of these developmental genes in the germline. Here, we explored the tractable zebrafish model and found conceptual conservation as well as several new features. Biochemical and mass spectrometric approaches reveal the zebrafish sperm genome packaged in nucleosomes and histone variants (and not protamine), and we find linker histones high and H4K16ac absent - key factors which may contribute to genome condensation. We examined several activating (H3K4me2/3, H3K14ac, H2AFV) and repressing (H3K27me3, H3K36me3, H3K9me3, hypoacetylation) modifications/compositions genome-wide, and find developmental genes packaged in large blocks of chromatin with coincident activating and repressing marks and DNA hypomethylation, revealing complex ‘multivalent’ chromatin. Notably, genes that acquire DNA methylation in the soma (muscle) are enriched in transcription factors for alternative cell fates. Remarkably, we find H3K36me3 located in ‘silent’ developmental gene promoters, and not present at the 3’ ends of coding regions of genes heavily transcribed during sperm maturation, suggesting different rules for H3K36me3 in the germline and soma. We also reveal the chromatin patterns of transposons, rDNA, and tRNAs. Finally, high levels of H3K4me3 and H3K14ac in sperm are correlated with genes activated in embryos prior to the mid-blastula transition (MBT), whereas multivalent genes are correlated with activation at or after MBT. Taken together, gene sets with particular functions in the embryo are packaged by distinctive types of complex and often atypical chromatin in sperm. [DNA profiling]: H3K4me3, H3K4me2, H3K14ac, H3K36me3, H3K27me3, H3K9me3, and H2AFV ChIP-chip in zebrafish sperm; DNA methylation in zebrafish sperm and muscle by MeDIP-chip. (two replicates and dye-swaps for all experiments). Antibodies: H3K4me3 (Abcam ab8580 and Active Motif 39159), H3K4me2 (Abcam ab7766), H3K14Ac (Upstate 07-353), H2AZ (Abcam ab4174), H3K27me3 (Upstate 07-449), H3K9me3 (Active Motif 39161), H3K36me3 (Abcam ab9050), 5-methylcytidine (Eurogentec BI-MECY-1000). Supplementary files: Processed data files reporting calculated enrichment log2 ratio (mean ChIP/mean Input in the log2 ratio). Note: For analysis, "mean Input" from H3K4me3-rep1 ch1, H3K4me2-rep1 ch2, and H3K36me3-rep2 ch1 for all ChIP eluates. [mRNA profiling]: Transcripts in zebrafish mature sperm using zebrafish expression microarray from Agilent. (two replicates)

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