A5007342652- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Gene Regulatory Network Analysis
- Zebrafish Biomedical Research Applications
- Bioinformatics and Genomic Networks
- Developmental Biology and Gene Regulation
- Single-cell and spatial transcriptomics
- Viral Infectious Diseases and Gene Expression in Insects
- Cancer Immunotherapy and Biomarkers
- Bladder and Urothelial Cancer Treatments
- Gene expression and cancer classification
University of Cambridge
2022-2024
National University Cancer Institute, Singapore
2024
National University of Singapore
2024
The transition state model of cell differentiation proposes that a transient window gene expression stochasticity precedes entry into differentiated state. Here, we assess this theoretical in zebrafish neuromesodermal progenitors (NMps) vivo during late somitogenesis stages. We observed an increase variability at the 24 somite stage (24ss) before their spinal cord and paraxial mesoderm. Analysis published 18ss scRNA-seq dataset showed NMp population is noisier than its derivatives. By...
Loss of the glutathione-S-transferases Theta 2 (Gstt2) expression is associated with an improved response to intravesical Mycobacterium bovis, Bacillus Calmette-Guérin (BCG) immunotherapy for non-muscle-invasive bladder cancer (NMIBC) patients who receive fewer BCG instillations. To delineate cause, Gstt2 knockout (KO) and wildtype (WT) C57Bl/6J mice were implanted tumors before treatment or saline. RNA was analyzed via single-cell sequencing (scRNA-seq) real-time polymerase chain reaction...
Abstract The study of pattern formation has greatly benefited from our ability to reverse-engineer gene regulatory network (GRN) structure spatio-temporal quantitative expression data. Traditional approaches omit tissue morphogenesis, and focus on systems where the timescales morphogenesis can be separated. In such systems, forms as an emergent property underlying GRN mechanistic insight obtained GRNs alone. However, this is not case in most animal patterning are co-occurring tightly linked....
The study of pattern formation has greatly benefited from our ability to reverse-engineer gene reg- ulatory network (GRN) structure spatio-temporal quantitative expression data. Traditional approaches omit tissue morphogenesis, and focus on systems where the timescales morphogenesis can be separated. In such systems, forms as an emergent property underlying GRN mechanistic insight obtained GRNs alone. However, this is not case in most animal patterning are co-occurring tightly linked. To...
Summary The transition state model of cell differentiation proposes that a transient window gene expression stochasticity precedes entry into differentiated state. As this has been assessed primarily in vitro , we sought to explore whether it can also be observed vivo . Zebrafish neuromesodermal progenitors (NMps) differentiate spinal cord and paraxial mesoderm at the late somitogenesis stages. We an increase variability 24 somite stage (24ss) prior their differentiation. From our analysis...
SummaryThe transition state model of cell differentiation proposes that a transient window gene expression stochasticity precedes entry into differentiated state. As this has been assessed primarily in vitro, we sought to explore whether it can also be observed vivo. Zebrafish neuromesodermal progenitors (NMps) differentiate spinal cord and paraxial mesoderm at the late somitogenesis stages. We an increase variability 24 somite stage (24ss) prior their differentiation. From our analysis...