Biology subjects

Li, J. Y. H.

Publications and source records attributed to Li, J. Y. H..

5 recordsLinked to original sources

bioRxiv2025

spCorr: flexible and scalable inference of spatially varying correlation in spatial transcriptomics

Spatial transcriptomics has transformed our ability to explore gene expression within its tissue context, enabling us to dissect subtle yet biologically significant variations in situ. While numerous computational methods have been proposed for detecting Spatially Varying Genes (SVGs) expression by modeling each individual gene separately, much less effort has been devoted to understanding how correlations between genes change across space. Such Spatially Varying Correlations (SVCs) are critical for understanding biological processes such as gene regulatory mechanisms shaped by local tissue environments, yet existing tools remain limited for this task. To address this gap, we present spCorr, a flexible and scalable regression framework for studying SVCs. spCorr provides interpretable, spot-level estimates of gene correlation and detects gene pairs whose correlations vary across locations or between tissue domains. Through extensive simulations and real-data analyses, we show that spCorr achieves high detection power, reliably controls the False Discovery Rate (FDR), and is computationally efficient. Importantly, spCorr reveals biologically meaningful correlation patterns that highlight fine-scale tissue structures, gene module functions, and region-specific interactions, offering new opportunities to study coordinated gene regulation in spatial transcriptomics.

bioinformatics↗

bioRxiv2024

FOXP Genes Regulate Purkinje Cell Diversity in Cerebellar Development and Evolution

Mammalian cerebellar development is thought to be influenced by distinct Purkinje cell (PC) subtypes. However, the degree of PC heterogeneity and the molecular drivers of this diversity have remained unclear, hindering efforts to manipulate PC diversification and assess its role in cerebellar development. Here, we demonstrate the critical role of Foxp genes in cerebellar development by regulating PC diversification. We identified 11 PC subtypes in the embryonic mouse cerebellum through single-cell RNA sequencing. Using a novel unsupervised method, we mapped these subtypes in three-dimensional space, revealing discrete PC subtypes predictive of adult cerebellar organization, including longitudinal stripes and lobules. These subtypes exhibit unique combinations of Foxp1, Foxp2, and Foxp4 expression. Deletion of Foxp2 and Foxp1 disrupts PC diversification, leading to altered cerebellar patterning, including the loss of a specific Foxp1-expressing subtype and the cerebellar hemisphere. The Foxp1-expressing PC subtype is much more abundant in the fetal human cerebellum than in mice, but rare in the chick cerebellum, correlating with cerebellar hemisphere size in these species. This highlights the significance of Foxp1-expressing PCs in cerebellar hemisphere development and evolution. Therefore, our study identifies Foxp genes as key regulators of PC diversity, providing new insights into the developmental and evolutionary underpinnings of the cerebellum.

developmental biology↗

bioRxiv2023

Late- life shift in caloric intake affects fly longevity and metabolism

Caloric restriction (CR) delays the onset of age-related changes and extends lifespan in most species, but how late in life organisms benefit from switching to a low-calorie (L) diet is unexplored. We transferred wild type male flies from a high- (H) to a L-calorie diet (HL) or vice versa (LH) at different times. Late-life HL shift immediately and profoundly reduces fly mortality rate to briefly lower rate than in flies on a constant L diet, and increases lifespan. Conversely, a LH shift increases mortality and hazard rate, which is temporarily higher than in flies aged on a H diet, and leads to shorter lifespan. Transcriptomic changes within 48 hours following diet shift uncover physiological adaptations to available nutrients. Unexpectedly, more abundant transcriptomic changes accompanied LH shift, including ribosome biogenesis, and promotion of growth, which likely contributes to higher mortality rate. Considering that the beneficial effects of CR on physiology and lifespan are conserved across many organisms, our findings suggest that CR interventions in older humans may counteract the detrimental effects of H diets even when initiated later in life.

physiology↗

bioRxiv2021

Integrated single-cell transcriptomic and epigenetic analyses of cell-state transition and lineage commitment in the embryonic mouse cerebellum

Recent studies using single-cell RNA-seq have revealed cellular heterogeneity in the developing mammalian cerebellum, yet the regulatory logic underlying this cellular diversity remains to be elucidated. Using integrated single-cell RNA and ATAC analyses, we resolved developmental trajectories of cerebellar progenitors and identified putative trans- and cis- elements that control cell state transition. We reverse-engineered gene regulatory networks (GRNs) of each cerebellar cell type. Through in silico simulations and in vivo experiments, we validated the efficacy of GRN analyses and uncovered the molecular control of a newly identified stem zone, the posterior transitory zone (PTZ), which contains multipotent progenitors for granule neurons, Bergmann glia, and choroid plexus epithelium. Importantly, we showed that perturbing cell fate specification of PTZ progenitors causes posterior cerebellar vermis hypoplasia, the most common cerebellar birth defect in humans. Our study provides a foundation for comprehensive studies of developmental programs of the mammalian cerebellum.

neuroscience↗

bioRxiv2018

Defining developmental diversification of diencephalon neurons through single-cell gene expression profiling

The embryonic diencephalon gives rise to diverse neuronal cell types, which form complex integration centers and intricate relay stations of the vertebrate forebrain. Prior anecdotal gene expression studies suggest several developmental compartments within the developing diencephalon. In the current study, we utilized single-cell RNA sequencing to profile transcriptomes of dissociated cells from the diencephalon of E12.5 mouse embryos. Through analysis of unbiased transcriptional data, we identified the divergence of different progenitors, intermediate progenitors, and emerging neuronal cell types. After mapping the identified cell groups to their spatial origins, we were able to characterize the molecular features across different cell types and cell states, arising from various diencephalic compartments. Furthermore, we reconstructed the developmental trajectory of different cell lineages within the diencephalon. This allowed the identification of the genetic cascades and gene regulatory networks underlying the progression of the cell cycle, neurogenesis, and cellular diversification. The analysis provides new insights into the molecular mechanism underlying the specification and amplification of thalamic progenitor cells. In addition, the single-cell-resolved trajectories not only confirm a close relationship between the rostral thalamus and prethalamus, but also uncover an unexpected close relationship between the caudal thalamus, epithalamus and rostral pretectum. Our data provide a useful resource for the systematic study of cell heterogeneity and differentiation kinetics within the developing diencephalon.

developmental biology↗