Chi, Xu, Ph.D.

Sperm aging impacts male fertility and offspring health, highlighting the need for reliable aging biomarkers to guide reproductive decisions. However, the molecular determinants of sperm fitness during aging remain ill-defined. Here, we profiled sperm small non-coding RNAs (sncRNAs) using PANDORA-seq, which overcomes RNA modification-induced detection bias to capture previously undetectable sncRNA species associated with mouse and human spermatozoa throughout the lifespan. We identified an "aging cliff" in mouse sperm RNA profiles-a sharp age-specific transition marked by significant shifts in genomic and mitochondrial tRNA-derived small RNAs (tsRNAs) and rRNA-derived small RNAs (rsRNAs). Notably, rsRNAs in mouse sperm heads exhibited a transformative length shift, with longer rsRNAs increasing and shorter ones decreasing with age, suggesting altered biogenesis or processing with age. Remarkably, this sperm head-specific shift in rsRNA length was consistently observed in two independent human aging cohorts. Moreover, transfecting a combination of tsRNAs and rsRNAs resembling the RNA species in aged sperm was able to induce transcriptomic changes in mouse embryonic stem cells, impacting metabolism and neurodegeneration pathways, mirroring the phenotypes observed in offspring fathered by aged sperm. These findings provide novel insights into longitudinal dynamics of sncRNAs during sperm aging, highlighting an rsRNA length shift conserved in mice and humans.

The periconception period is critical for embryo development, pregnancy outcomes, and offspring health. During this stage, oviductal and uterine fluids facilitate embryo-maternal interactions and support early embryonic development. Using PANDORA-seq, we identify a diverse repertoire of small non-coding RNAs in female mouse oviduct fluid and uterine fluid during preimplantation, with tRNA-derived small RNAs and rRNA-derived small RNAs being predominant. Maternal high-fat diet during preimplantation period significantly alters tsRNA and rsRNA expression in oviduct fluid and uterine fluid compared to normal diet, disrupting blastocyst metabolic gene expression. While implantation remained unaffected, these alterations impair mid-gestation embryonic and placental growth, resulting in reduced birth weight and length, as well as metabolic disorders in offspring. Furthermore, transfecting embryos with uterine fluid-derived sncRNAs altered by maternal high-fat diet mimics the in vivo effects. These findings suggest that tsRNAs and rsRNAs in reproductive fluids may reflect maternal metabolic status and transmit dietary information to the early embryo, which might influence pregnancy outcomes and offspring health.

Small noncoding RNAs (sncRNAs) are a diverse group of RNAs including small interfering RNAs (siRNAs), microRNAs (miRNAs), PIWI-interacting RNAs (piRNAs) and RNAs derived from structured RNAs like transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), and others. These sncRNAs have varied termini and RNA modifications, which can interfere with adaptor ligation and reverse transcription during cDNA library construction, hindering detection of many types of sncRNAs by standard small RNA sequencing methods. To address this limitation, PANDORA-seq introduces a refined methodology. The procedure includes sequential enzymatic treatments of size-selected RNAs with T4PNK and AlkB, which effectively circumvent the challenges presented by the ligation-blocking termini and reverse transcription-blocking RNA modifications, followed by tailored small RNA library construction protocols and deep sequencing. The obtained datasets are analyzed with the SPORTS pipeline, which can comprehensively analyze various types of sncRNAs beyond the traditionally studied classes, to include those derived from various parental RNAs (e.g., from tRNA and rRNA), as well as output the locations on the parental RNA from which these sncRNAs are derived. The entire protocol takes  7 days, depending on the sample size and sequencing turnaround time. PANDORA-seq provides a transformative tool to further our understanding of the expanding small RNA universe and to explore the uncharted functions of sncRNAs.

Although high-throughput RNA sequencing (RNA-seq) has greatly advanced small non-coding RNA (sncRNA) discovery, the currently widely used complementary DNA library construction protocol generates biased sequencing results. This is partially due to RNA modifications that interfere with adapter ligation and reverse transcription processes, which prevent the detection of sncRNAs bearing these modifications. Here, we present PANDORA-seq (panoramic RNA display by overcoming RNA modification aborted sequencing), employing a combinatorial enzymatic treatment to remove key RNA modifications that block adapter ligation and reverse transcription. PANDORA-seq identified abundant modified sncRNAs-mostly transfer RNA-derived small RNAs (tsRNAs) and ribosomal RNA-derived small RNAs (rsRNAs)-that were previously undetected, exhibiting tissue-specific expression across mouse brain, liver, spleen and sperm, as well as cell-specific expression across embryonic stem cells (ESCs) and HeLa cells. Using PANDORA-seq, we revealed unprecedented landscapes of microRNA, tsRNA and rsRNA dynamics during the generation of induced pluripotent stem cells. Importantly, tsRNAs and rsRNAs that are downregulated during somatic cell reprogramming impact cellular translation in ESCs, suggesting a role in lineage differentiation.