Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations]
Glioblastoma (GBM), a deadly brain tumor, is still one of the few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM’s tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical di...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-10-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/11-1180/v1 |
| _version_ | 1828001006673199104 |
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| author | Bozena Kaminska Urszula Lawrynowicz Monika Horbacz Jakub Mieczkowski Adrian Perdyan |
| author_facet | Bozena Kaminska Urszula Lawrynowicz Monika Horbacz Jakub Mieczkowski Adrian Perdyan |
| author_sort | Bozena Kaminska |
| collection | DOAJ |
| description | Glioblastoma (GBM), a deadly brain tumor, is still one of the few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM’s tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical differences between males and females were characterized. For instance, higher incidence of GBM in males or distinct responses to cancer chemotherapy and immunotherapy between males and females have been noted. However, despite the introduction of single-cell RNA sequencing and spatial transcriptomics, these differences were not further investigated as studies were focused only on exposing the general picture of GBM heterogeneity. Hence, in this study, we summarized the current state of knowledge on GBM heterogeneity exposed by single-cell RNA sequencing and spatial transcriptomics with regard to genetics, immunology, and sex-dependent differences. Additionally, we highlighted future research directions which would fill the gap of knowledge on the impact of patient’s sex on the disease outcome. |
| first_indexed | 2024-04-10T06:22:45Z |
| format | Article |
| id | doaj.art-6200b07ed4b340a5b5b98eedd7b932a7 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-04-10T06:22:45Z |
| publishDate | 2022-10-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-6200b07ed4b340a5b5b98eedd7b932a72023-03-02T01:00:01ZengF1000 Research LtdF1000Research2046-14022022-10-0111138634Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations]Bozena Kaminska0Urszula Lawrynowicz1Monika Horbacz2Jakub Mieczkowski3Adrian Perdyan4https://orcid.org/0000-0002-5098-4357Nencki Institute, Warszawa, Poland3P-Medicine Laboratory, Medical University of Gdansk, Gdansk, Poland3P-Medicine Laboratory, Medical University of Gdansk, Gdansk, Poland3P-Medicine Laboratory, Medical University of Gdansk, Gdansk, Poland3P-Medicine Laboratory, Medical University of Gdansk, Gdansk, PolandGlioblastoma (GBM), a deadly brain tumor, is still one of the few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM’s tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical differences between males and females were characterized. For instance, higher incidence of GBM in males or distinct responses to cancer chemotherapy and immunotherapy between males and females have been noted. However, despite the introduction of single-cell RNA sequencing and spatial transcriptomics, these differences were not further investigated as studies were focused only on exposing the general picture of GBM heterogeneity. Hence, in this study, we summarized the current state of knowledge on GBM heterogeneity exposed by single-cell RNA sequencing and spatial transcriptomics with regard to genetics, immunology, and sex-dependent differences. Additionally, we highlighted future research directions which would fill the gap of knowledge on the impact of patient’s sex on the disease outcome.https://f1000research.com/articles/11-1180/v1single-cell RNA sequencing spatial transcriptomics glioblastoma heterogeneity immunology sexeng |
| spellingShingle | Bozena Kaminska Urszula Lawrynowicz Monika Horbacz Jakub Mieczkowski Adrian Perdyan Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] F1000Research single-cell RNA sequencing spatial transcriptomics glioblastoma heterogeneity immunology sex eng |
| title | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_full | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_fullStr | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_full_unstemmed | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_short | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_sort | integration of single cell rna sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity version 1 peer review 2 approved 1 approved with reservations |
| topic | single-cell RNA sequencing spatial transcriptomics glioblastoma heterogeneity immunology sex eng |
| url | https://f1000research.com/articles/11-1180/v1 |
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