Alejandro A. Granados

This study compares five RNA velocity methods across three datasets to evaluate their performance in predicting cellular states.

This paper introduces a regenerative molecular recording system called hypercascade that enables deep lineage reconstruction by maintaining a constant mutation rate over time.

The paper presents Zebrahub-Multiome, a single-cell multiomic atlas of zebrafish embryogenesis, revealing gene regulatory network dynamics and cis-regulatory elements across developmental stages.

The paper analyzes receptor expression patterns across cell types to identify recurring signaling pathway motifs.

This study uses single-nucleus RNA sequencing to analyze a mouse glioblastoma model, identifying potential therapeutic targets and similarities with human GBM subtypes.

The paper shows that intrinsic developmental origins and local signals shape septal astrocyte identity through distinct molecular and morphological features in medial and lateral septal nuclei.

The paper characterizes the transcriptional response to COVID-19 across multiple organs using single-nuclei RNA sequencing, identifying shared transcriptional signatures in endothelial cells and macrophages.

The paper provides a framework and interactive software tools for manually annotating cell types in single-cell multi-omics datasets, demonstrating how different modalities can be combined to improve annotation accuracy.

Zebrafish embryos sequenced individually across ten developmental stages, paired with light-sheet lineage reconstruction, form an atlas and browser for in silico fate mapping.

This study shows Schwann cells promote sensory neuron excitability during development by secreting prostaglandin E2, which is essential for normal sodium channel expression and action potential firing.

A new genetic editing system termed intMEMOIR reveals the lineage histories of individual cells directly within their native tissue context.

The paper quantifies how extracellular information is encoded in the dynamic nuclear localization of transcription factors in yeast, showing that collective dynamics, not individual factors, represent environmental states.