Single-cell assessment of primary and stem cell-derived human trophoblast organoids as placenta-modeling platforms.

Human trophoblast stem cells (hTSCs) and related trophoblast organoids are state-of-the-art culture systems that facilitate the study of trophoblast development and human placentation. Using single-cell transcriptomics, we evaluate how organoids derived from freshly isolated first-trimester trophoblasts or from established hTSC cell lines reproduce developmental cell trajectories and transcriptional regulatory processes defined in vivo. Although organoids from primary trophoblasts and hTSCs overall model trophoblast differentiation with accuracy, specific features related to trophoblast composition, trophoblast differentiation, and transcriptional drivers of trophoblast development show levels of misalignment.

Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis.

Background: Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with other privacy enhancing technologies. Generating uncompromised synthetic data could significantly benefit external researchers performing secondary analyses by providing unlimited access to information while fulfilling pertinent regulations. However, the original data to be synthesized (e.

Gestural Timing Patterns of Nasality in Highly Proficient Spanish Learners of English: Aerodynamic Evidence.

Segment-to-segment timing overlap between Vowel-Nasal gestures in /VN/ sequences varies cross-linguistically. However, how bilinguals may adjust those timing gestures is still unanswered. Regarding timing strategies in a second language (L2), research finds that native (L1) strategies can be partially transferred to the L2, and that higher L2 proficiency promotes a more successful phonetic performance.

The application of epiphenotyping approaches to DNA methylation array studies of the human placenta.

Background: Genome-wide DNA methylation (DNAme) profiling of the placenta with Illumina Infinium Methylation bead arrays is often used to explore the connections between in utero exposures, placental pathology, and fetal development. However, many technical and biological factors can lead to signals of DNAme variation between samples and between cohorts, and understanding and accounting for these factors is essential to ensure meaningful and replicable data analysis. Recently, "epiphenotyping" approaches have been developed whereby DNAme data can be used to impute information about phenotypic variables such as gestational age, sex, cell composition, and ancestry.