J. Gray Camp

This study creates a perturbation atlas of mouse neural organoids to understand macroglial reactivity and identify drivers of degeneration.

This study identifies how SALL1 and neural microenvironmental context shape the identity of stem cell-derived human microglia-like cells in 2D and 3D cultures.

The paper identifies how cell heterogeneity and YAP1 inactivation drive tissue patterning during intestinal regeneration through feedback mechanisms.

This paper introduces a high-throughput histopathology workflow for complex in vitro models using 3D-printed histomolds, enabling efficient processing and analysis of multiple samples.

The paper introduces a microfluidic platform for high-throughput generation of uniform intestinal organoids in hydrogel droplets, achieving high homogeneity and reproducibility.

The paper uses a multiplexed single-cell transcriptomic screen to study how morphogen cues affect regional specification in human neural organoids, finding that timing, concentration, and combination of morphogens strongly influence cell type and regional composition.

The paper introduces a platform for high-throughput spatial phenotyping of multilineage organoids, identifying pathway modulators and treatment strategies for PDAC.

This paper introduces a scalable platform to generate regionally specified neural organoids from uniform single-lumen neuroepithelium, improving reproducibility and fidelity to natural brain development.

The paper integrates single-cell transcriptomes and spatial transcriptomics to identify therapeutic targets in pancreatic cancer by analyzing cell states and ligand-receptor interactions in tumoroids.

The paper programs human neuron subtypes using combinatorial patterning and scRNA-seq to identify diverse neuron types and their developmental signaling networks.

The paper uses live imaging and single-cell transcriptomics to study how extracellular matrix influences brain organoid development and regionalization.

The paper uses a microfluidic stem cell model to study early human neural patterning, identifying regional specification and fate determination during the epiblast stage.

The paper develops engineered human gut tissues to study host-microbe interactions and identifies an epithelial gene regulatory network in response to Salmonella Typhimurium infection.

This study maps the cell state transitions during human blood vessel organoid development using single-cell transcriptomics and identifies key regulators and disease associations.

CellFlow predicts single-cell phenotypes from complex perturbations using flow matching, demonstrating accuracy in cytokine stimulation, drug treatments, and developmental modeling.

The paper creates a multi-omic atlas of human neural organoids modeling the posterior brain and identifies morphogen conditions that expand organoid models.

This paper develops human lung alveolar immuno-organoids with autologous immune cells to model immune-epithelial interactions and study inflammation-related pulmonary side effects.

This paper integrates 36 single-cell transcriptomics datasets from human neural organoids into a unified atlas to assess cell type coverage and compare organoid protocols with primary brain tissue.

The paper reconstructs epigenomic trajectories in human neural organoids from pluripotency to terminal cell states using single-cell histone modification profiling.

This paper creates a human endoderm organoid cell atlas by integrating single-cell transcriptomes from multiple organoid types to compare cell states with primary tissues and disease models.

The paper identifies EPIREGULIN as a niche factor that enables spatial organization in human intestinal organoids, mimicking the native intestine's structure and gene expression.

The paper characterizes RNA content in individual phase-separated coacervate microdroplets using high-throughput sequencing and identifies sequence motifs associated with RNA accumulation.

This study uses single-cell genomics to analyze axolotl forebrain cell types, neurogenesis, and regeneration, identifying conserved neuron classes and injury responses.

This paper develops a multimodal approach to study human retinal organoid development, integrating spatial, transcriptomic, and chromatin accessibility data to create a virtual atlas of retinal development.

The paper uses single-cell genomic data from human cerebral organoids to infer gene regulatory networks and assess transcription factor roles in brain development.

This study uses single-cell transcriptomics to analyze liver regeneration after portal vein embolization, identifying changes in cell states and immune interactions.

This study uses scRNA-seq to analyze human intestinal development, identifying cell sources of niche factors and their functional roles in stem cell maintenance.

The paper uses ChRO-seq to study chromatin dynamics during human small intestinal development, identifying enhancer activity and transcription patterns at HOX gene loci.

This study uses single-cell transcriptomics to show that Ngn2 overexpression in human iPSCs generates heterogeneous neurons, including peripheral nervous system-like populations, and that Ngn2 dosage affects neuron fate.

This paper introduces a method to integrate single-cell genomics data across experiments and conditions while preserving biological information, showing it outperforms existing methods in certain scenarios.