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Cells in Time and Space: Beyond comprehensive cellular atlases towards a deeper understanding of disease
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. (Mats Nilsson)ORCID iD: 0000-0003-2230-8594
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Recent advancements in single-cell RNA sequencing have transformed the way we classify cells. These innovations have provided an unprecedented view into the complexities of cell types within the human body and enabled the creation of comprehensive cellular atlases for various tissues and organs. While these techniques have revolutionized biology, they are limited in that they lack the necessary information to examine the architecture of complex tissues. This limitation has led to the development of spatially resolved transcriptomic (SRT) techniques, giving rise to the field of spatial biology. The rapid growth of spatial biology has largely been driven by academic research, though commercial entities have recently begun to emerge in the market.

In situ sequencing (ISS) is one such SRT technique that enables the mapping of hundreds of transcripts directly in tissue samples. ISS utilizes padlock probes, which hybridize to a target. Ligation of the probes allows for their circularization. Once circularized, the probes are enzymatically amplified, and their identity can be decoded using fluorescent probes and a microscope. 

In Paper I, we build upon the first iteration of ISS to create a hybridization-based sequencing approach  that allows for more genes to be targeted. Additionally, the improved signal-to-noise ratio enabled more robust signal detection, facilitating the application to aged human brain tissue, which is challenging to analyze due to autofluorescence.

In Paper II, we use the technology developed in Paper I to map out 75 transcriptomically defined cell types in the human cortex. In total, we pinpointed the location of 59,816 cells in their native positions and abundances. We looked at both the within- and across-layer distribution of these cell types.  

In Paper III, we profiled the development of oligodendrocyte lineage cells in mouse spinal cord and brain. Over different time points, we could map out the location of cell types and model the development of these cellular lineages, uncovering the neighboring preferences of these cells. The data revealed spatial heterogeneity of oligodendrocyte lineage progression in the brain and spinal cord. 

In Paper IV, we modeled the development of neuroinflammatory lesions in the multiple sclerosis model of experimental autoimmune encephalomyelitis (EAE). We built a comprehensive atlas of the spatio-temporal dynamics of the disease development by collecting tissues from different time points and different regions of the CNS. We uncovered the dynamic nature of disease-associated glial subtypes, being induced globally at peak and then reverting back to their homeostatic gene expression signature at the reduced inflammatory state. Moreover, the temporal analysis of the lesion development allowed for uncovering the intricate structure of these lesions and how they propagate over time. Human tissue sections confirmed the cell-driven approach to lesion identification and the induction of disease-associated glial subtypes. 

Taken together, the work presented in this thesis serves to showcase how one can use ISS to create comprehensive atlases, but more importantly, move beyond cellular atlases towards understanding disease. 

 

Place, publisher, year, edition, pages
Stockholm: Department of Biochemistry and Biophysics, Stockholm University , 2025. , p. 84
Keywords [en]
in situ sequencing, padlock probes, rolling circle amplification, spatially resolved transcriptomics, spatial transcriptomics, molecular atlases, cell atlases, cell type definition, human neuroanatomy, neuroinflammation, multiple sclerosis
National Category
Biochemistry Molecular Biology Bioinformatics and Computational Biology
Research subject
Biochemistry towards Bioinformatics
Identifiers
URN: urn:nbn:se:su:diva-237615ISBN: 978-91-8107-086-6 (print)ISBN: 978-91-8107-087-3 (electronic)OAI: oai:DiVA.org:su-237615DiVA, id: diva2:1929647
Public defence
2025-03-14, Air & Fire, Gamma 2, SciLifeLab, Tomtebodavägen 23a, Solna, 14:00 (English)
Opponent
Supervisors
Available from: 2025-02-19 Created: 2025-01-21 Last updated: 2025-02-20Bibliographically approved
List of papers
1. Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue
Open this publication in new window or tab >>Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue
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2020 (English)In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 48, no 19, article id e112Article in journal (Refereed) Published
Abstract [en]

Visualization of the transcriptome in situ has proven to be a valuable tool in exploring single-cell RNA-sequencing data, providing an additional spatial dimension to investigate multiplexed gene expression, cell types, disease architecture or even data driven discoveries. In situ sequencing (ISS) method based on padlock probes and rolling circle amplification has been used to spatially resolve gene transcripts in tissue sections of various origins. Here, we describe the next iteration of ISS, HybISS, hybridization-based in situ sequencing. Modifications in probe design allows for a new barcoding system via sequence-by-hybridization chemistry for improved spatial detection of RNA transcripts. Due to the amplification of probes, amplicons can be visualized with standard epifluorescence microscopes for high-throughput efficiency and the new sequencing chemistry removes limitations bound by sequence-by-ligation chemistry of ISS. HybISS design allows for increased flexibility and multiplexing, increased signal-to-noise, all without compromising throughput efficiency of imaging large fields of view. Moreover, the current protocol is demonstrated to work on human brain tissue samples, a source that has proven to be difficult to work with image-based spatial analysis techniques. Overall, HybISS technology works as a targeted amplification detection method for improved spatial transcriptomic visualization, and importantly, with an ease of implementation.

National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-191258 (URN)10.1093/nar/gkaa792 (DOI)000606018400004 ()32990747 (PubMedID)
Available from: 2021-03-19 Created: 2021-03-19 Last updated: 2025-01-21Bibliographically approved
2. Comprehensive in situ mapping of human cortical transcriptomic cell types
Open this publication in new window or tab >>Comprehensive in situ mapping of human cortical transcriptomic cell types
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2021 (English)In: Communications Biology, E-ISSN 2399-3642, Vol. 4, no 1, article id 998Article in journal (Refereed) Published
Abstract [en]

The ability to spatially resolve the cellular architecture of human cortical cell types over informative areas is essential to understanding brain function. We combined in situ sequencing gene expression data and single-nucleus RNA-sequencing cell type definitions to spatially map cells in sections of the human cortex via probabilistic cell typing. We mapped and classified a total of 59,816 cells into all 75 previously defined subtypes to create a first spatial atlas of human cortical cells in their native position, their abundances and genetic signatures. We also examined the precise within- and across-layer distributions of all the cell types and provide a resource for the cell atlas community. The abundances and locations presented here could serve as a reference for further studies, that include human brain tissues and disease applications at the cell type level.

National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-198424 (URN)10.1038/s42003-021-02517-z (DOI)000688061400006 ()34429496 (PubMedID)
Available from: 2021-11-10 Created: 2021-11-10 Last updated: 2025-01-21Bibliographically approved
3. Spatial and temporal heterogeneity in the lineage progression of fine oligodendrocyte subtypes
Open this publication in new window or tab >>Spatial and temporal heterogeneity in the lineage progression of fine oligodendrocyte subtypes
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2022 (English)In: BMC Biology, E-ISSN 1741-7007, Vol. 20, no 1, article id 122Article in journal (Refereed) Published
Abstract [en]

Background: Oligodendrocytes are glial cells that support and insulate axons in the central nervous system through the production of myelin. Oligodendrocytes arise throughout embryonic and early postnatal development from oligodendrocyte precursor cells (OPCs), and recent work demonstrated that they are a transcriptional heterogeneous cell population, but the regional and functional implications of this heterogeneity are less clear. Here, we apply in situ sequencing (ISS) to simultaneously probe the expression of 124 marker genes of distinct oligodendrocyte populations, providing comprehensive maps of the corpus callosum, cingulate, motor, and somatosensory cortex in the brain, as well as gray matter (GM) and white matter (WM) regions in the spinal cord, at postnatal (P10), juvenile (P20), and young adult (P60) stages. We systematically compare the abundances of these populations and investigate the neighboring preference of distinct oligodendrocyte populations.

Results: We observed that oligodendrocyte lineage progression is more advanced in the juvenile spinal cord compared to the brain, corroborating with previous studies. We found myelination still ongoing in the adult corpus callosum while it was more advanced in the cortex. Interestingly, we also observed a lateral-to-medial gradient of oligodendrocyte lineage progression in the juvenile cortex, which could be linked to arealization, as well as a deep-to-superficial gradient with mature oligodendrocytes preferentially accumulating in the deeper layers of the cortex. The ISS experiments also exposed differences in abundances and population dynamics over time between GM and WM regions in the brain and spinal cord, indicating regional differences within GM and WM, and we found that neighboring preferences of some oligodendroglia populations are altered from the juvenile to the adult CNS.

Conclusions: Overall, our ISS experiments reveal spatial heterogeneity of oligodendrocyte lineage progression in the brain and spinal cord and uncover differences in the timing of oligodendrocyte differentiation and myelination, which could be relevant to further investigate functional heterogeneity of oligodendroglia, especially in the context of injury or disease.

Keywords
Oligodendrocytes, Lineage progression, Spatial transcriptomics, In situ sequencing, Cortex, Corpus callosum, Spinal cord
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-207246 (URN)10.1186/s12915-022-01325-z (DOI)000801146100001 ()35610641 (PubMedID)2-s2.0-85130716355 (Scopus ID)
Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2025-01-21Bibliographically approved
4. Cellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
Open this publication in new window or tab >>Cellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
Show others...
2024 (English)In: Cell, ISSN 0092-8674, E-ISSN 1097-4172, Vol. 187, no 8, p. 1990-2009Article in journal (Refereed) Published
Abstract [en]

Multiple sclerosis (MS) is a neurological disease characterized by multifocal lesions and smoldering pathology. Although single-cell analyses provided insights into cytopathology, evolving cellular processes underlying MS remain poorly understood. We investigated the cellular dynamics of MS by modeling temporal and regional rates of disease progression in mouse experimental autoimmune encephalomyelitis (EAE). By performing single-cell spatial expression profiling using in situ sequencing (ISS), we annotated disease neighborhoods and found centrifugal evolution of active lesions. We demonstrated that disease-associated (DA)-glia arise independently of lesions and are dynamically induced and resolved over the disease course. Single-cell spatial mapping of human archival MS spinal cords confirmed the differential distribution of homeostatic and DA-glia, enabled deconvolution of active and inactive lesions into sub-compartments, and identified new lesion areas. By establishing a spatial resource of mouse and human MS neuropathology at a single-cell resolution, our study unveils the intricate cellular dynamics underlying MS.

National Category
Cell Biology Cell and Molecular Biology
Identifiers
urn:nbn:se:su:diva-231552 (URN)10.1016/j.cell.2024.02.030 (DOI)001229191700001 ()38513664 (PubMedID)2-s2.0-85189500592 (Scopus ID)
Available from: 2024-06-25 Created: 2024-06-25 Last updated: 2025-01-21Bibliographically approved

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