Nikolaos Konstantinides

This study reconstructs the evolutionary history of temporal transcription factor series in insect visual brains, showing conserved patterns and species-specific variations that influence neuronal diversity.

The paper investigates the evolution of a novel photoreceptor cell type in houseflies, showing how transcription factors drive its development and connectivity.

The paper shows embryonic dopamine neurons in Drosophila are essential for lifelong locomotion, maintaining function through structural remodeling and transcription factor expression.

This paper uses a gene expression cartography algorithm to create a 3D atlas of the Drosophila optic lobe, identifying spatially compartmentalized cell types and gene patterns.

The paper compares regeneration of two complex structures in Platynereis, finding shared and distinct molecular, cellular, and morphological features in their regenerative processes.

The paper identifies spatial subdomains in the Drosophila medulla and links patterning mechanisms to terminal selector expression in neuronal types.

Drosophila larval optic lobe single-cell RNA-seq and pseudotime analysis define a near-complete medulla neuroblast temporal transcription factor series, with Eyeless and Dichaete acting as regulatory hubs.

The paper creates a single-cell transcriptomic atlas of the adult fruit fly, identifying over 250 cell types and analyzing gene signatures and sexual dimorphism across tissues.

This study uses single-cell RNA sequencing and genetic strategies to analyze neuron maturation in Drosophila, showing that maturation begins post-neuron birth through transcriptional changes coordinated with developmental stage.

This study creates a single-cell transcriptome catalogue of the Drosophila brain across its lifespan, revealing regulatory erosion and identifying novel neuronal states linked to ageing.

The paper identifies transcription factors that regulate common terminal neuronal features across different cell types in Drosophila optic lobes using single-cell RNA sequencing and machine learning.

The paper sequences and annotates the genome of Parhyale hawaiensis, identifying key genes for development, immunity, and lignocellulose digestion, providing a resource for comparative studies.

The paper uses analytic combinatorics to analyze RNA secondary structures, focusing on pseudoknots and their evolutionary properties.