Isabel Espinosa-Medina

This paper introduces sOrganellomics, a method to map cell state diversity and metabolic adaptation in tissues using spatial imaging and machine learning, revealing new insights into hepatocyte organization and metabolic changes under stress.

This paper develops an improved FBP sensor, HYlight2, for in vivo imaging of glycolysis in various organisms.

This paper uses ex utero culture to study mouse embryogenesis from gastrulation to fetal development, revealing metabolically independent programs and environmental influences on metabolic transitions.

The paper develops mRNAbow, a system for generating low-toxicity mRNAs for multiplexed fluorescent imaging in diverse cellular and organismal systems.

This study shows Imp1 regulates temporal fate transitions in radial glia during cortical development, affecting neuronal identity and spatial organization through dosage and stage-dependent mechanisms.

The paper shows that progenitor identity determines neuronal synchrony patterns in zebrafish hindbrain development through lineage tracing and functional analysis.

TEMPO enables sequential genetic labeling and manipulation of vertebrate cell lineages to study birth-order-dependent cell fates.

The paper develops a method to reconstruct dense neuronal lineages in Drosophila despite sparse sampling and suboptimal lineage encoding.

The paper introduces CaSSA, a CRISPR/Cas9-based platform for creating unlimited genetic switches to enable cell-type-specific genetic manipulation.

CLADES uses CRISPR/Cas9 to create a programmable sequence of reporters for lineage analysis, tracking cell birth order and progression across generations.

This paper analyzes CRISPR-based cell lineage encoding and reconstruction, finding hierarchical clustering with shared edits is optimal and proposing improved encoding methods to increase trackable depth.