Minal J Patel

Function-driven geometry directs human pilosebaceous unit development

The paper builds a spatiotemporal map of human pilosebaceous unit development using single-cell multiomics and machine learning, showing how epithelial-mesenchymal interactions drive organogenesis and how sebaceous gland programs are disrupted in tumors.

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

TERRA is a foundation model for spatial transcriptomics that predicts tissue behavior under perturbation and identifies multi-scale biological insights across tissues.

Spatial lung niches shape Pseudomonas aeruginosa persistence

This study uses spatial transcriptomics to map Pseudomonas aeruginosa niches in lung tissue from CF and COPD patients, revealing distinct bacterial states and host interactions linked to infection persistence.

Mapping and reprogramming human tissue microenvironments with MintFlow

MintFlow is a generative AI algorithm that predicts how tissue perturbations reprogram cell states in disease, revealing novel cell populations and therapeutic targets in three human conditions.

Developmental Dynamics of Human Cardiogenesis: A multi-omic reference and its disruption in Trisomy 21

This study develops a multi-omic reference of human cardiac development and identifies disruptions in Trisomy 21 hearts.

A human developing heart atlas reveals cardiovascular cell diversity for in vitro model benchmarking

The paper creates a high-resolution human developing heart atlas using single-cell and spatial transcriptomics, identifies new cell types, and benchmarks in vitro models.

Spatially resolved multiomics of human cardiac niches

This paper uses spatial transcriptomics and single-cell data to identify cellular niches in the human heart, revealing new insights into cardiac function and potential drug targets.

Differentiation of human induced pluripotent stem cells into cortical neural stem cells

This paper describes a 14-day protocol to differentiate human iPSCs into cortical neural stem cells, validated through RNA-Seq and immunocytochemistry.

Mouse and cellular models of KPTN-related disorder implicate mTOR signalling in cognitive and progressive overgrowth phenotypes

The paper investigates KPTN-related disorder using mouse and human stem cell models, identifying mTOR pathway dysregulation as a key mechanism underlying cognitive and overgrowth phenotypes.

Human skeletal muscle ageing atlas

This study creates a single-cell and single-nucleus transcriptomic atlas of human skeletal muscle ageing, revealing mechanisms in muscle stem cells, myofibers, and the microenvironment.

Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

The paper uses single-cell RNA sequencing to study genetic variant effects on dopaminergic neuron differentiation from iPSCs, identifying eQTL and cell fate markers.

Population-scale proteome variation in human induced pluripotent stem cells

The paper characterizes proteome variation across 202 human iPSC lines, identifies 700 pQTLs, and links pQTLs to disease-associated GWAS variants.

Single-cell RNA-seq of differentiating iPS cells reveals dynamic genetic effects on gene expression

The paper uses single-cell RNA-seq of differentiating iPS cells from 125 donors to identify expression quantitative trait loci influencing gene expression during endoderm differentiation.

Lung, spleen and oesophagus tissue remains stable for scRNAseq in cold preservation

This study evaluates the impact of cold storage on scRNAseq data quality for lung, spleen, and oesophagus tissues, finding minimal effects within 24 hours but increased stress markers at 72 hours.

Molecular and functional variation in iPSC-derived sensory neurons

The paper maps regulatory variants in iPSC-derived sensory neurons, identifying genetic influences on gene expression, chromatin accessibility, and RNA splicing, with overlaps to disease associations.