Cargando…
METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA
Comparative single-cell studies of group 3/4 medulloblastomas (MBs) and fetal brain have identified a common hierarchy of glutamatergic-lineage cell types and an apparent cell-of-origin in the rhombic lip. An increased understanding of the genetic regulators of stem-cell maintenance and differentiat...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260200/ http://dx.doi.org/10.1093/neuonc/noad073.130 |
_version_ | 1785057812159660032 |
---|---|
author | Jung, Jangham Yu, Bohyeon Hoare, Owen Diaz, Aaron |
author_facet | Jung, Jangham Yu, Bohyeon Hoare, Owen Diaz, Aaron |
author_sort | Jung, Jangham |
collection | PubMed |
description | Comparative single-cell studies of group 3/4 medulloblastomas (MBs) and fetal brain have identified a common hierarchy of glutamatergic-lineage cell types and an apparent cell-of-origin in the rhombic lip. An increased understanding of the genetic regulators of stem-cell maintenance and differentiation in MB would clearly be of therapeutic benefit. There is a significant need for lineage-tracing systems to model MB malignant transformation, progression, and response to therapy. We developed in vivo and in organoid genetic lineage-tracing systems with a single-cell readout. A high-complexity lentiviral library expressing heritable polyadenylated molecular barcodes was transduced into D283 and D425 patient-derived cell lines. Barcoded cells were injected into the brains of immunocompromised mice. Both preimplantation barcoded cultures and the resulting mature tumors were profiled by single-cell RNA-sequencing (scRNA-seq). This captured both endogenous RNA and barcode transcripts. While only minimal barcode clash was detected in the preimplantation cultures, we observed a clonal expansion of barcodes in mature tumors which aligned with phylogenetics analysis of expressed mutations in endogenous RNA. Methods for assessing lineage coupling between transcriptional clusters and inferring their lineage relationship were developed. Ongoing efforts to recover barcodes from tumor sections via spatial transcriptomics will be presented. These studies fill a gap in status quo models of MB which are needed to leverage recent findings derived from single-cell analysis of human tumors. |
format | Online Article Text |
id | pubmed-10260200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102602002023-06-13 METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA Jung, Jangham Yu, Bohyeon Hoare, Owen Diaz, Aaron Neuro Oncol Final Category: Genomics/Epigenomics/Metabolomics - METB Comparative single-cell studies of group 3/4 medulloblastomas (MBs) and fetal brain have identified a common hierarchy of glutamatergic-lineage cell types and an apparent cell-of-origin in the rhombic lip. An increased understanding of the genetic regulators of stem-cell maintenance and differentiation in MB would clearly be of therapeutic benefit. There is a significant need for lineage-tracing systems to model MB malignant transformation, progression, and response to therapy. We developed in vivo and in organoid genetic lineage-tracing systems with a single-cell readout. A high-complexity lentiviral library expressing heritable polyadenylated molecular barcodes was transduced into D283 and D425 patient-derived cell lines. Barcoded cells were injected into the brains of immunocompromised mice. Both preimplantation barcoded cultures and the resulting mature tumors were profiled by single-cell RNA-sequencing (scRNA-seq). This captured both endogenous RNA and barcode transcripts. While only minimal barcode clash was detected in the preimplantation cultures, we observed a clonal expansion of barcodes in mature tumors which aligned with phylogenetics analysis of expressed mutations in endogenous RNA. Methods for assessing lineage coupling between transcriptional clusters and inferring their lineage relationship were developed. Ongoing efforts to recover barcodes from tumor sections via spatial transcriptomics will be presented. These studies fill a gap in status quo models of MB which are needed to leverage recent findings derived from single-cell analysis of human tumors. Oxford University Press 2023-06-12 /pmc/articles/PMC10260200/ http://dx.doi.org/10.1093/neuonc/noad073.130 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Final Category: Genomics/Epigenomics/Metabolomics - METB Jung, Jangham Yu, Bohyeon Hoare, Owen Diaz, Aaron METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title | METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title_full | METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title_fullStr | METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title_full_unstemmed | METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title_short | METB-13. A SINGLE-CELL GENETIC IN VIVO LINEAGE-TRACING PLATFORM FOR MEDULLOBLASTOMA |
title_sort | metb-13. a single-cell genetic in vivo lineage-tracing platform for medulloblastoma |
topic | Final Category: Genomics/Epigenomics/Metabolomics - METB |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260200/ http://dx.doi.org/10.1093/neuonc/noad073.130 |
work_keys_str_mv | AT jungjangham metb13asinglecellgeneticinvivolineagetracingplatformformedulloblastoma AT yubohyeon metb13asinglecellgeneticinvivolineagetracingplatformformedulloblastoma AT hoareowen metb13asinglecellgeneticinvivolineagetracingplatformformedulloblastoma AT diazaaron metb13asinglecellgeneticinvivolineagetracingplatformformedulloblastoma |