Area of research
Molecular Biology · Cancer Research
Research interest
Research focused on RNA and Transcriptome, with related work in Neuroscience, Computational biology, Single-cell analysis. Notable publications include 'Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells', 'Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics', and 'Individual brain organoids reproducibly form cell diversity of the human cerebral cortex'.
Heterochronic parabiosis reprograms the mouse brain transcriptome by shifting aging signatures in multiple cell types
Cell-type specific defects in<i>PTEN</i>-mutant cortical organoids converge on abnormal circuit activity
Autism genes converge on asynchronous development of shared neuron classes
The evolution, evolvability and engineering of gene regulatory DNA
Proper acquisition of cell class identity in organoids allows definition of fate specification programs of the human cerebral cortex
Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing
Single cell RNA-seq by mostly-natural sequencing by synthesis
Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity
Systematic comparison of single-cell and single-nucleus RNA-sequencing methods
Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
Distinct subnetworks of the thalamic reticular nucleus
Human brain organoids reveal accelerated development of cortical neuron classes as a shared feature of autism risk genes
Author Correction: Systematic comparison of single-cell and single-nucleus RNA-sequencing methods
Individual brain organoids reproducibly form cell diversity of the human cerebral cortex
Single-cell transcriptomic profiling of the aging mouse brain
Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes
Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects
TBK1 Suppresses RIPK1-Driven Apoptosis and Inflammation during Development and in Aging
Comprehensive comparative analysis of 5′-end RNA-sequencing methods
Effects of 3D culturing conditions on the transcriptomic profile of stem-cell-derived neurons
Author Correction: Comprehensive comparative analysis of 5′-end RNA-sequencing methods
RIPK1 mediates a disease-associated microglial response in Alzheimer’s disease
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples
Comparative analysis of RNA sequencing methods for degraded or low-input samples
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
2013cited by 5position: middle