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Bharne, D.

Publications and source records attributed to Bharne, D..

2 recordsLinked to original sources

Evaluation of somatic variant calling methods on high coverage tumour-only amplicon sequencing data in a clinical environment

One of the current workhorses of next-generation sequencing in clinical molecular diagnostics laboratories for profiling somatic mutations in tumours are amplicon-based targeted sequencing panels. Many open-source somatic variant callers are available; however, their use in clinical applications remains under explored. Therefore, we integrated outputs of six variant callers (FreeBayes, MuTect2, Pisces, Platypus, VarDict and VarScan) into a Snakemake pipeline and evaluated tumour-only data from the HD789 commercial reference standard sequenced in triplicate on three different sequencing runs using the Illumina AmpliSeq Focus panel on MiSeq and NextSeq 2000. A 1:4 dilution sample was sequenced for evaluating limits of variant detection. The called variants were analysed along depth, allele frequency, and other sequencing metrics. The variant callers were evaluated by their level of concordance and performance on known somatic variants. FreeBayes consistently called the largest number of somatic variants in each sample but also included more potential artifacts. Overall, FreeBayes, VarScan, MuTect2, and Pisces had the best performance on HD789 data.

bioinformatics↗

MicroRNA-mRNA Gene Regulatory Circuitry Orchestrates the Epigenetic and Transcriptional Reprogramming from Pluripotency to Murine Mammary Epithelial stem-like-Cells lactogenic differentiation

MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression via mRNA degradation or translational repression. While miRNAs are established regulators of development and differentiation, their role in the dynamic mRNA transitions during lactogenic differentiation of mammary epithelial cells remains incompletely characterized. In this study, we profiled miRNA expression across four distinct developmental states: embryonic stem cells (ESCs), and three progressive stages of HC11 murine mammary epithelial differentiation, including undifferentiated growth factor-maintained cells (HC11-N), glucocorticoid-primed cells (HC11-P), and prolactin-induced lactogenic cells (HC11-PRL). By integrating these signatures with parallel mRNA expression profiles, we identified stage-specific miRNA-mRNA regulatory axes. Our analysis revealed miRNAs coordinate networks of transcription factors and epigenetic regulators to shape the lactogenic transcriptome. While ESCs and undifferentiated HC11 cells were characterized by pathways associated with pluripotency and oncogenic signalling, the pregnancy-like priming stage showed enrichment in, neurotrophin signalling. Crucially, the lactation-like state was dominated by PI3K-Akt and mTOR signalling-- critical drivers of epithelial proliferation and milk synthesis. Furthermore, the integration of miRNAs with transcriptional and epigenetic regulators highlighted the modulation of prolactin signalling and extracellular matrix-receptor interactions during lactation. This study provides a comprehensive map of the miRNA-associated post-transcriptional landscape of lactogenesis, offering a mechanistic framework for understanding mammary gland development and associated pathologies.

genomics↗