Biology subjects

Machlin, J. H.

Publications and source records attributed to Machlin, J. H..

3 recordsLinked to original sources

bioRxiv2026

Beyond Histology: A Validated CUBIC-Based Workflow for Volumetric Analysis of Follicles and Cortical Vasculature in Human Ovarian Tissue

Research questionCan tissue clearing, combined with volumetric imaging, enable reliable, quantitative three-dimensional analysis of follicles and vasculature in intact human ovarian tissue? DesignA CUBIC-based clearing protocol was adapted for human ovarian medulla and cryopreserved cortex. Tissue from reproductive-aged donors was cleared, fluorescently labeled, and imaged using confocal and light sheet microscopy. Tissue expansion, imaging depth, and vascular morphometrics were quantified and follicle density was compared to conventional histology. ResultsClearing produced optically transparent tissue with a linear expansion factor of 1.2 across cortex and medulla. Imaging depth increased 6.5-11-fold in cortex and 6-8-fold in medulla. Follicle density measurements in immunolabeled cleared cortex were comparable to histology, supporting the validity of volumetric follicle quantification. Light sheet microscopy of lectin-labeled cortex revealed no significant donor-to-donor differences in vascular morphometrics, including mean vessel diameters of 12-14 {micro}m, branch point densities of 632-965 points/mm3, vessel length densities of 117-175 mm/mm3, and volume fractions of 1.9-2.3%. Volumetric imaging further illustrated heterogeneous spatial relationships between follicles and surrounding vessels. ConclusionTissue clearing and volumetric imaging complement routine histology and enable quantitative three-dimensional investigation of follicle-vascular interactions in intact human ovarian tissue, providing a framework for advancing fertility preservation and ovarian tissue transplantation research.

bioengineering↗

bioRxiv2025

Transcriptomic and proteomic dynamics of ovarian follicle group culture resemble in vivo folliculogenesis

The prohibitively low yield of fertilizable oocytes obtained from cultured ovarian follicles limits clinical translation of in vitro follicle maturation for fertility preservation. This is in part due to an incomplete understanding of the process of follicle development. Previous work has demonstrated that group culture of primary murine follicles had a synergistic effect on growth and maturation in contrast to single follicles, but mechanisms remained unknown. Here, we cultured primary follicles in groups of 5 (5X) or 10 (10x) for twelve days, separated the somatic cells from oocytes, and analyzed the temporal transcriptional signatures every two days. In total, 13,461 genes in somatic cells and 10,091 genes in oocytes were computationally sorted into ten temporally distinct gene expression patterns. The somatic cell temporal gene expression patterns showed strong concordance with the granulosa and theca cell markers reported in a recent single-cell whole ovary RNA sequencing study. Importantly, canonical markers of steroidogenesis in cultured follicles followed expected trajectories of decreasing Amh expression and increasing Inhba, Inhbb, Cyp11a1, Cyp17a1, Cyp19a1, Lhcgr, and Fshr over the culture period. Furthermore, when comparing the 10X and 5X culture groups, we identified 306 and 14 differentially expressed genes in somatic cells and oocytes, respectively. Shotgun proteomics data was aligned with the somatic cell transcriptomic data and identified four L-R pairs that were differentially expressed between the two conditions. These comprehensive datasets uncovered temporal dynamics of in vitro folliculogenesis in a compartment-specific manner, serving as a valuable resource for optimizing future follicle culture systems for fertility preservation.

cell biology↗

bioRxiv2025

Single-oocyte transcriptional profile of early-stage human oocytes reveals differentially expressed genes in the primordial and transitioning stages.

The critical initial step in human oocyte maturation - the transition of ovarian follicles from dormancy to activation - remains poorly understood. Here we performed RNA sequencing on single oocytes isolated from early-stage follicles from nine healthy reproductive-age donors. Data for 133 high-quality oocytes formed two connected clusters, C1 and C2, with 5,449 significantly differentially expressed genes. Using recently reported gene lists for early-stage follicles we found that C1 oocytes likely came from earlier, dormant primordial follicles, while C2 oocytes match later-stage primordial or transitioning follicles. We sought to validate two DE genes, UHRF1 for C1 and CCN2 for C2, by their RNA-FISH in situ pattern in morphologically classified follicles, but did not observe statistically significant differences between follicle stages. This apparent discrepancy between follicles stage determined by its morphology and oocytes transcriptional state, if replicated in additional studies, may indicate a lack of closely coupled synchrony between follicle morphology and oocytes functional state.

cell biology↗