Biology subjects

Laurentino, S.

Publications and source records attributed to Laurentino, S..

8 recordsLinked to original sources

bioRxiv2026

A single-nucleus multiomic and spatial atlas of gene regulation in human spermatogenesis

Gametogenesis, the production of oocytes and sperm, ensures the faithful transmission of genetic material to the next generation. In males, spermatogenesis occurs within the testis, where germ cells progress through a highly ordered developmental programme in close association with supporting somatic cells. Defects in this process cause infertility, yet the gene regulatory mechanisms coordinating normal and dysfunctional human spermatogenesis remain incompletely defined. Here we generate a single-nucleus multiomic and spatial atlas of human spermatogenesis by profiling chromatin accessibility and gene expression in the same nuclei and integrating these data with spatial transcriptomics of intact testicular tissue. We infer high-confidence gene regulatory networks that resolve stage-specific activity of known and novel candidate regulators across germline and somatic compartments, and map spatially restricted signalling interactions within the seminiferous tubule niche. Integration with infertility-associated genetic variation links non-coding risk loci to candidate enhancers and target genes in cell-type-specific regulatory contexts. Finally, profiling clinical cryptozoospermia samples as in vivo perturbations supports the ability of this network to capture downstream transcriptional consequences of disease-associated regulatory disruption. Together, these data provide a spatially resolved regulatory framework for human spermatogenesis and a foundation for interpreting the molecular basis of male infertility.

genomics↗

bioRxiv2026

Spermatogonial stem cells and their differentiation roadmap throughout marmoset development

Sperm transfer genetic information from one generation to the next. These cells originate from gonocytes, which are specified during early embryonal development. To date however, there is limited information on the transcriptional gatekeepers governing the key events leading to sperm production: transition of gonocytes out of pluripotency around the time of birth, formation of the spermatogonial compartment prior to puberty, and initiation of germ cell differentiation at the time of puberty. We address this knowledge gap by employing the marmoset monkey (Callithrix jacchus) as a model for human postnatal testicular development. We analysed the transcriptional profiles of [~]48,000 neonatal, pre-pubertal, pubertal, and adult testicular cells and correlated these with histomorphometric measurements. We uncovered a transcriptional state linking gonocytes and spermatogonia characterized by CITED2 expression. Moreover, we propose NANOS2 and DPPA4 as regulators of spermatogonial plasticity from pre-puberty onwards and identify molecular gatekeepers of male germ cell differentiation.

developmental biology↗

bioRxiv2024

Insights into gene conversion and crossing-over processes from long-read sequencing of human, chimpanzee and gorilla testes and sperm

Homologous recombination rearranges genetic information during meiosis to generate new combinations of variants. Recombination also causes new mutations, affects the GC content of the genome and reduces selective interference. Here, we use HiFi long-read sequencing to directly detect crossover and gene conversion events from switches between the two haplotypes along single HiFi-reads from testis tissue of humans, chimpanzees and gorillas as well as human sperm samples. Furthermore, based on DNA methylation calls, we classify the cellular origin of reads to either somatic or germline cells in the testis tissue. We identify 1692 crossovers and 1032 gene conversions in nine samples and investigate their chromosomal distribution. Crossovers are more telomeric and correlate better with recombination maps than gene conversions. We show a strong concordance between a human double-strand break map and the human samples, but not for the other species, supporting different PRDM9-programmed double-strand break loci. We estimate the average gene conversion tract lengths to be similar and very short in all three species (means 40-100 bp, fitted well by a geometric distribution) and that 95-98% of non-crossover events do not involve tracts intersecting with polymorphism and are therefore not detectable. Finally, we detect a GC bias in the gene conversion of both single and multiple SNVs and show that the GC-biased gene conversion affects SNVs flanking crossover events. This implies that gene conversion events associated with crossover events are much longer (estimated above 500 bp) than those associated with non-crossover events. Highly accurate long-read sequencing combined with the classification of reads to specific cell types provides a new, powerful way to make individual, detailed maps of gene conversion and crossovers for any species.

evolutionary biology↗

bioRxiv2023

Genome-wide DNA methylation changes in human spermatogenesis

Sperm production and function require the correct establishment of DNA methylation patterns in the germline. Here, we examined the genome-wide DNA methylation changes during human spermatogenesis and its alterations in disturbed spermatogenesis. We found that spermatogenesis is associated with remodeling of the methylome, comprising a global-decline in DNA methylation in primary spermatocytes followed by selective remethylation, resulting in a spermatid-specific methylome. Hypomethylated regions in spermatids were enriched in specific transcription factor binding sites for DMRT and SOX family members and spermatid-specific genes. Intriguingly, while SINEs displayed differential methylation throughout spermatogenesis, LINEs appeared to be protected from changes in DNA methylation. In disturbed spermatogenesis, germ cells exhibited considerable DNA methylation changes, which were significantly enriched at transposable elements and genes involved in spermatogenesis. We detected hypomethylation in SVA and L1HS in disturbed spermatogenesis, suggesting an association between the abnormal programming of these regions and failure of germ cells progressing beyond meiosis.

genetics↗

bioRxiv2022

Stage-specific gene and transcript dynamics in human male germ cells

Cell differentiation processes are highly dependent on cell stage-specific gene expression, including timely production of alternatively spliced transcripts. One of the most transcriptionally rich tissues is the testis, where the process of spermatogenesis, or generation of male gametes, takes place. To date, germ cell-specific transcriptome dynamics remain understudied due to limited transcript information emerging from short-read sequencing technologies. To fully characterize the transcriptional profiles of human male germ cells and to understand how the human spermatogenic transcriptome is regulated, we compared whole transcriptomes of men with different types of germ cells missing from their testis. Specifically, we compared the transcriptomes of testis lacking germ cells (Sertoli cell-only phenotype; SCO; n=3), with an arrest at the stage of spermatogonia (SPG; n=4), spermatocytes (SPC; n=3), and round spermatids (SPD; n=3), with the transcriptomes of testis with normal and complete spermatogenesis (Normal; n=3). We found between 839 and 4,138 differentially expressed genes (DEGs, log2 fold change [≥] 1) per group comparison, with the most prevalent changes observed between SPG and SPC arrest samples, corresponding to the entry into meiosis. We detected highly germ cell-type specific marker genes among the topmost DEGs of each group comparison. Moreover, applying state-of-the-art bioinformatic analysis we were able to evaluate differential transcript usage (DTU) during human spermatogenesis and observed between 1,062 and 2,153 genes with alternatively spliced transcripts per group comparison. Intriguingly, DEGs and DTU genes showed minimal overlap (< 8%), suggesting that stage-specific splicing is an additional layer of gene regulation in the germline. By generating the most complete human testicular germ cell transcriptome to date, we unravel extensive dynamics in gene expression and alternative splicing during human spermatogenesis.

molecular biology↗

bioRxiv2021

EGR4-dependent decrease of UTF1 is associated with failure to reserve spermatogonial stem cells in infertile men

Despite the high incidence of male infertility, about 70% of infertile men do not receive a causative diagnosis. To gain insights into the regulatory mechanisms governing human germ cell function in normal and impaired spermatogenesis (cryptozoospermic patients, crypto), we combined single cell RNA sequencing (>30.000 cells), proteome, and histomorphometric analyses of testicular tissues. We found major alterations in the crypto spermatogonial compartment with increased numbers of the most undifferentiated spermatogonia (PIWIL4+ State 0 cells). We also observed a transcriptional switch within the spermatogonial compartment driven by the increased and prolonged expression of the transcription factor EGR4. Intriguingly, EGR4-regulated genes included the chromatin-associated transcriptional repressor UTF1, which was downregulated. Histomorphometrical analyses showed that these transcriptional changes were mirrored at the protein level and accompanied by a change in the chromatin structure of spermatogonia. This resulted in a reduction of Adark spermatogonia - characterized by tightly compacted chromatin and serving as reserve stem cells. These findings suggest that crypto patients are at a disadvantage especially in cases of gonadotoxic damage as they have less cells safeguarding the genetic integrity of the germline. We hypothesize that the more relaxed chromatin status of spermatogonia is dependent on decreased UTF1 expression caused by EGR4 activation. These identified regulators of the spermatogonial compartment will be highly interesting targets to uncover genetic causes of male infertility. One Sentence SummaryReserve spermatogonial stem cell depletion in infertile men is regulated by an EGR4-dependent UTF1 decrease, which changes chromatin morphology.

molecular biology↗

bioRxiv2020

The sperm epigenome does not display recurrent epimutations in patients with severely impaired spermatogenesis

BackgroundIn the past 15 years, numerous studies have described aberrant DNA methylation of imprinted genes (e.g. MEST and H19) in sperm of infertile patients, but the prevalence and genomic extent of abnormal methylation patterns have remained unknown. ResultsUsing deep bisulfite sequencing (DBS), we screened swim-up sperm samples from 40 normozoospermic and 93 oligoasthenoteratozoospermic (OAT) patients for H19 and MEST methylation. Based on this screening, we defined three patient groups: normal controls (NC), abnormally methylated infertile (AMI; n=7) and normally methylated infertile (NMI; n=86). Whole genome bisulfite sequencing (WGBS) of five NC and five AMI samples revealed abnormal methylation levels of all 50 imprinting control regions in each AMI sample. To investigate whether this finding reflected epigenetic germ line mosaicism or the presence of residual somatic DNA, we made a genome-wide inventory of soma-germ cell specific DNA methylation. We found that >2,000 germ cell-specific genes are promoter-methylated in blood and that AMI samples had abnormal methylation levels at these genes, consistent with the presence of somatic cell DNA. The comparison between the five NC and six NMI samples revealed 19 differentially methylated regions (DMRs), none of which could be validated in an independent cohort of 40 men. Previous studies reported a higher incidence of epimutations at single CpG sites in the CTCF-binding region 6 of H19 in infertile patients. DBS analysis of this locus, however, revealed an association between DNA methylation levels and genotype (rs2071094), but not fertility phenotype. ConclusionsOur results suggest that somatic DNA contamination and genetic variation confound methylation studies in sperm of infertile men. While we cannot exclude the existence of rare patients with slightly abnormal sperm methylation at non-recurrent CpG sites, the prevalence of aberrant methylation in swim-up purified sperm of infertile men has likely been overestimated, which is reassuring for patients undergoing assisted reproduction.

genetics↗

bioRxiv2019

wg-blimp: an end-to-end analysis pipeline for whole genome bisulfite sequencing data

BackgroundAnalysing whole genome bisulfite sequencing datasets is a data-intensive task that requires comprehensive and reproducible workflows to generate valid results. While many algorithms have been developed for tasks such as alignment, comprehensive end-to-end pipelines are still sparse. Furthermore, previous pipelines lack features or show technical deficiencies, thus impeding analyses. ResultsWe developed wg-blimp (whole genome bisulfite sequencing methylation analysis pipeline) as an end-to-end pipeline to ease whole genome bisulfite sequencing data analysis. It integrates established algorithms for alignment, quality control, methylation calling, detection of differentially methylated regions, and methylome segmentation, requiring only a reference genome and raw sequencing data as input. Comparing wg-blimp to previous end-to-end pipelines reveals similar setups for common sequence processing tasks, but shows differences for post-alignment analyses. We improve on previous pipelines by providing a more comprehensive analysis workflow as well as an interactive user interface. To demonstrate wg-blimps ability to produce correct results we used it to call differentially methylated regions for two publicly available datasets. We were able to replicate 112 of 114 previously published regions, and found results to be consistent with previous findings. We further applied wg-blimp to a publicly available sample of embryonic stem cells to showcase methylome segmentation. As expected, unmethylated regions were in close proximity of transcription start sites. Segmentation results were consistent with previous analyses, despite different reference genomes and sequencing techniques. Conclusionswg-blimp provides a comprehensive analysis pipeline for whole genome bisulfite sequencing data as well as a user interface for simplified result inspection. We demonstrated its applicability by analysing multiple publicly available datasets. Thus, wg-blimp is a relevant alternative to previous analysis pipelines and may facilitate future epigenetic research.

bioinformatics↗