Jukka Jernvall

broadSeq benchmarks differential gene expression methods and shows DELocal identifies distinct genes by considering genomic neighbourhood, particularly for highly expressed genes.

The paper uses whole-genome sequencing to study hybridization and genomic differentiation between grey seal subspecies in a contact zone, finding evidence of recent hybridization and local adaptation.

The paper shows Saimaa ringed seals originated 60,000 years ago, long before their lake habitat formed, and have distinct adaptive traits.

This study investigates whether the minimum tooth size (realisation threshold) scales with body size by comparing variably present teeth across mammals, finding they are relatively small in large mammals but larger than the theoretical minimum.

The paper examines how bear dentition development deviates from the Inhibitory Cascade model, showing initial conservation but later divergence in molar size proportions.

This study identifies dental genes under positive selection in voles with different molar root structures, linking genetic changes to tooth growth patterns.

This study shows that mammary epithelium dictates branching patterns while mesenchyme controls growth and density during mammary gland development.

This study shows that Ascl4, a Wnt/{beta}-catenin target gene, is not essential for skin appendage development in mice.

The paper investigates how mammalian molar teeth scale during development and evolution, finding that the IGF pathway regulates both growth and cusp patterning to achieve size differences.

The paper introduces GECT, a method combining in situ hybridization with microCT to detect gene expression in developing mouse tissues, showing compatibility with existing imaging techniques.

The paper uses bulk and single-cell transcriptomics to study early hair follicle and epidermal development, identifying new cell populations and markers.

The paper introduces DELocal, an algorithm that uses gene neighbourhood information to detect subtle changes in gene expression during organ development, showing it outperforms traditional methods.

The paper identifies developmental keystone genes in mouse and rat tooth development by analyzing phenotypic severity and gene expression patterns, revealing conserved system-level dynamics.