A5089349636- Cell Image Analysis Techniques
- bioluminescence and chemiluminescence research
- Bioinformatics and Genomic Networks
- Ferroptosis and cancer prognosis
- Advanced Fluorescence Microscopy Techniques
- Single-cell and spatial transcriptomics
- Cancer Research and Treatments
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- Advanced Electron Microscopy Techniques and Applications
- Cancer Cells and Metastasis
- Computational Drug Discovery Methods
- Virus-based gene therapy research
- Cancer Genomics and Diagnostics
- ATP Synthase and ATPases Research
- Neural dynamics and brain function
- 3D Printing in Biomedical Research
- CAR-T cell therapy research
- RNA Interference and Gene Delivery
- Neuroscience and Neuropharmacology Research
- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Steroid Chemistry and Biochemistry
- Memory and Neural Mechanisms
Harvard–MIT Division of Health Sciences and Technology
2016-2025
Massachusetts General Hospital
2024
Broad Institute
2024
Center for Cancer Research
2024
Harvard University
2024
Massachusetts Institute of Technology
2020-2021
Abstract Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research has been impractical owing to the complexity of in vivo models. Here we introduce an barcoding strategy that is capable determining metastatic potential human cell lines mouse xenografts at scale. We validated robustness, scalability reproducibility method applied it 500 1,2 spanning 21 types solid tumour. created a first-generation map (MetMap) reveals organ-specific patterns enabling these...
Glioma contains malignant cells in diverse states. Here, we combine spatial transcriptomics, proteomics, and computational approaches to define glioma cellular states uncover their organization. We find three prominent modes of First, gliomas are composed small local environments, each typically enriched with one major state. Second, specific pairs preferentially reside proximity across multiple scales. This pairing is consistent tumors. Third, these pairwise interactions collectively a...
Glioblastoma (GBM) is characterized by heterogeneous malignant cells that are functionally integrated within the neuroglial microenvironment. In this study, we model ecosystem growing GBM into long-term cultured human cortical organoids contain major cell types found in cerebral cortex. Single-cell RNA sequencing analysis suggests that, compared with matched gliomasphere models, more faithfully recapitulate diversity and expression programs of states patient tumors. Additionally, observe...
ABSTRACT The standard of care in high-grade gliomas has remained unchanged the past 20 years. Efforts to replicate effective immunotherapies non-cranial tumors have led only modest therapeutical improvements glioblastoma (GB). Here, we demonstrate that intratumoral administration recombinant interleukin-12 (rIL-12) promotes local cytotoxic CD8 POS T cell accumulation and conversion into an effector-like state, resulting a dose-dependent survival benefit preclinical GB mouse models. This...
<p>Supplementary Figure S5 describes extracellular vesicle mediated intercellular transfer in GCOs, related to 5.</p>
<p>Supplementary Figure S3 describes GFP transfer process in GCOs, related to 3.</p>
<p>Text file shows the GFP sequence from pLV-CMV-GFP used to align reads scRNA-seq data.</p>
<p>Supplementary Figure S4 describes widespread transfer of endogenous malignant transcripts in GCOs, related to 4.</p>
<p>Supplementary Figure S2 describes malignant cell states in GCOs, related to 2.</p>
<p>Supplementary Figure S1 describes the establishment and scRNA-seq profiling of GCOs, related to 1.</p>
<div>Abstract<p>Glioblastoma (GBM) is characterized by heterogeneous malignant cells that are functionally integrated within the neuroglial microenvironment. In this study, we model ecosystem growing GBM into long-term cultured human cortical organoids contain major cell types found in cerebral cortex. Single-cell RNA sequencing analysis suggests that, compared with matched gliomasphere models, more faithfully recapitulate diversity and expression programs of states patient...
Abstract Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research has been impractical due to the complexity of in vivo models. Here, we introduce an barcoding strategy capable determining metastatic potential human cell lines murine xenografts at scale. We validated robustness, scalability reproducibility method, applied it 500 spanning 21 solid types. created a first-generation Metastasis Map (MetMap) that reveals organ-specific patterns allows relating...
Abstract Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research has been impractical due to the inherent scale limitation of in vivo models. Here we introduce an barcoding strategy capable determining metastatic potential human cell lines murine xenografts at scale. We validated robustness, scalability reproducibility method, applied it 500 spanning 21 solid types. created a first-generation Metastasis Map (MetMap) that reveals organ-specific patterns...