Spatially precise in situ transcriptomics in intact biological systems
Biological tissues are composed of cells of diverse types and states that are spatially organized with nanoscale precision over extended length scales to perform coordinated functions. Understanding patterns of gene expression in tissues is needed to understand complex cellular behaviors in health a...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152792 https://orcid.org/0000-0002-1545-3163 |
| _version_ | 1826206549633138688 |
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| author | Sinha, Anubhav |
| author2 | Boyden, Edward S. |
| author_facet | Boyden, Edward S. Sinha, Anubhav |
| author_sort | Sinha, Anubhav |
| collection | MIT |
| description | Biological tissues are composed of cells of diverse types and states that are spatially organized with nanoscale precision over extended length scales to perform coordinated functions. Understanding patterns of gene expression in tissues is needed to understand complex cellular behaviors in health and disease. Current methods for highly multiplexed RNA imaging are limited in their spatial resolution and lack precise subcellular landmarks, limiting the ability to localize transcripts to nanoscale and subcellular compartments. Here, I describe the development of targeted expansion sequencing (targeted ExSeq), a multiplexed RNA imaging method that enables efficient detection of a predefined set of transcripts in three-dimensional tissues with nanoscale resolution. Targeted ExSeq integrates expansion microscopy, an approach for volumetric super-resolution tissue imaging through the principle of physical magnification, with targeted in situ sequencing, an approach for imaging RNA transcripts of interest. Targeted ExSeq was used to spatially map layer-specific cell type organization in the primary visual cortex in the mouse brain, nanoscale RNA localization within dendrites and dendritic spines in the mouse hippocampus, and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. The approach for targeted RNA in situ sequencing was adapted to whole-mount RNA imaging of intact preimplantation mouse embryos. By integrating immunofluorescence and in situ sequencing with live-embryo mechanical measurements, a spatially-resolved multimodal map of preimplantation embryogenesis was generated to study self-organization in development, finding early lineage segregation events and progressive mechanical softening. Joint measurements demonstrated that early lineage segregation events have differential mechanical and morphological properties that align with distinct developmental programs. |
| first_indexed | 2024-09-23T13:34:41Z |
| format | Thesis |
| id | mit-1721.1/152792 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:34:41Z |
| publishDate | 2023 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1527922023-11-03T03:29:32Z Spatially precise in situ transcriptomics in intact biological systems Sinha, Anubhav Boyden, Edward S. Regev, Aviv Harvard-MIT Program in Health Sciences and Technology Biological tissues are composed of cells of diverse types and states that are spatially organized with nanoscale precision over extended length scales to perform coordinated functions. Understanding patterns of gene expression in tissues is needed to understand complex cellular behaviors in health and disease. Current methods for highly multiplexed RNA imaging are limited in their spatial resolution and lack precise subcellular landmarks, limiting the ability to localize transcripts to nanoscale and subcellular compartments. Here, I describe the development of targeted expansion sequencing (targeted ExSeq), a multiplexed RNA imaging method that enables efficient detection of a predefined set of transcripts in three-dimensional tissues with nanoscale resolution. Targeted ExSeq integrates expansion microscopy, an approach for volumetric super-resolution tissue imaging through the principle of physical magnification, with targeted in situ sequencing, an approach for imaging RNA transcripts of interest. Targeted ExSeq was used to spatially map layer-specific cell type organization in the primary visual cortex in the mouse brain, nanoscale RNA localization within dendrites and dendritic spines in the mouse hippocampus, and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. The approach for targeted RNA in situ sequencing was adapted to whole-mount RNA imaging of intact preimplantation mouse embryos. By integrating immunofluorescence and in situ sequencing with live-embryo mechanical measurements, a spatially-resolved multimodal map of preimplantation embryogenesis was generated to study self-organization in development, finding early lineage segregation events and progressive mechanical softening. Joint measurements demonstrated that early lineage segregation events have differential mechanical and morphological properties that align with distinct developmental programs. Ph.D. 2023-11-02T20:16:33Z 2023-11-02T20:16:33Z 2023-09 2023-09-07T20:21:13.579Z Thesis https://hdl.handle.net/1721.1/152792 https://orcid.org/0000-0002-1545-3163 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Sinha, Anubhav Spatially precise in situ transcriptomics in intact biological systems |
| title | Spatially precise in situ transcriptomics in intact biological systems |
| title_full | Spatially precise in situ transcriptomics in intact biological systems |
| title_fullStr | Spatially precise in situ transcriptomics in intact biological systems |
| title_full_unstemmed | Spatially precise in situ transcriptomics in intact biological systems |
| title_short | Spatially precise in situ transcriptomics in intact biological systems |
| title_sort | spatially precise in situ transcriptomics in intact biological systems |
| url | https://hdl.handle.net/1721.1/152792 https://orcid.org/0000-0002-1545-3163 |
| work_keys_str_mv | AT sinhaanubhav spatiallypreciseinsitutranscriptomicsinintactbiologicalsystems |