Fernando H. Biase

The paper evaluates integration methods and parameters on cattle embryos to assess their impact on biological insights, finding that parameter choices affect cell type classification and functional interpretation.

The paper identifies genetic variants linked to fertility and health in dairy heifers, finding overlaps with genes associated with similar traits in mice and humans.

The paper identifies 3,033 potential new genes in cattle oocytes and embryos using transcriptome sequencing and validates one gene's role in blastocyst development through CRISPR-Cas9.

This study improves the efficiency of biallelic deletions in cattle embryos using CRISPR-Cas and shows OCT4 is critical for blastocyst formation and pluripotency.

The paper identifies extensive gene regulatory rewiring between in vitro-produced conceptuses and endometrium during implantation, contributing to pregnancy loss in cattle.

The paper identifies regulatory variants (eQTLs) using a differential expression framework for RNA-sequencing, finding more biologically relevant variants than traditional methods.

This study shows that delayed processing of blood samples affects mRNA-based biomarkers by altering transcript abundance in peripheral white blood cells.

The paper identifies gene and microRNA expression patterns in heifers' white blood cells associated with pregnancy outcomes using machine learning.

The paper identifies gene regulatory networks in embryo-endometrium pairs during implantation, revealing coordinated gene expression and functional modules specific to each pregnancy.

Rainbow-seq combines lineage tracing with single-cell RNA-seq to track cell division history and reveal transcriptome differences in mouse embryos.