| 1. |
- Vicari, Marco, et al.
(författare)
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Spatial multimodal analysis of transcriptomes and metabolomes in tissues
- 2023
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Ingår i: Nature Biotechnology. - 1087-0156 .- 1546-1696.
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Tidskriftsartikel (refereegranskat)abstract
- We present a spatial omics approach that combines histology, mass spectrometry imaging and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. We demonstrate the potential of our method using mouse and human brain samples in the context of dopamine and Parkinson’s disease.
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| 2. |
- Bergenstråhle, Ludvig, et al.
(författare)
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Super-resolved spatial transcriptomics by deep data fusion
- 2022
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Ingår i: Nature Biotechnology. - : Nature Research. - 1087-0156 .- 1546-1696. ; 40:4, s. 476-479
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Tidskriftsartikel (refereegranskat)abstract
- Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression maps. Using a deep generative model, our method characterizes the transcriptome of micrometer-scale anatomical features and can predict spatial gene expression from histology images alone.
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| 3. |
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| 4. |
- Erickson, A, et al.
(författare)
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Spatially resolved clonal copy number alterations in benign and malignant tissue
- 2022
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 608:7922, s. 360-
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Tidskriftsartikel (refereegranskat)abstract
- Defining the transition from benign to malignant tissue is fundamental to improving early diagnosis of cancer1. Here we use a systematic approach to study spatial genome integrity in situ and describe previously unidentified clonal relationships. We used spatially resolved transcriptomics2 to infer spatial copy number variations in >120,000 regions across multiple organs, in benign and malignant tissues. We demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate. Our results suggest a model for how genomic instability arises in histologically benign tissue that may represent early events in cancer evolution. We highlight the power of capturing the molecular and spatial continuums in a tissue context and challenge the rationale for treatment paradigms, including focal therapy.
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| 5. |
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| 6. |
- Erickson, Andrew, et al.
(författare)
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The spatial landscape of clonal somatic mutations in benign and malignant tissue
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Defining the transition from benign to malignant tissue is fundamental to improve early diagnosis of cancer. Here, we provide an unsupervised approach to study spatial genome integrity in situ to gain molecular insight into clonal relationships. We employed spatially resolved transcriptomics to infer spatial copy number variations in >120 000 regions across multiple organs, in benign and malignant tissues. We demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue. Our results suggest a model for how genomic instability arises in histologically benign tissue that may represent early events in cancer evolution. We highlight the power of an unsupervised approach to capture the molecular and spatial continuums in a tissue context and challenge the rationale for treatment paradigms, including focal therapy.
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| 8. |
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| 9. |
- Kvastad, Linda, et al.
(författare)
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The spatial landscape of transcriptomes and genomes in pediatric brain tumors
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Treatment of pediatric brain tumors is continually being improved; still, there is a great need for new treatment options. Here we explore the spatial transcriptomic and genomic landscape in a cohort of pediatric brain tumors using a new generation of unbiased methodologies. We demonstrate the gene expression patterns of the essential cancer-related gene programs of epithelial-to-mesenchymal transition (EMT), the reverse process mesenchymal-to-epithelial transition (MET), and tumor microenvironment (TME) observations through microglia. Furthermore, we identify the gene expression of SPP1 by microglia in the TME as a potential prognostic mRNA marker - in pediatric brain tumor relapse patients.
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| 10. |
- Mirzazadeh, Reza
(författare)
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Novel methods to study genomic fragility and structural variation
- 2019
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- DNA double-strand breaks (DSBs) are major DNA lesions that when repaired unfaithfully can give rise to loss of genetic information, chromosomal rearrangements such as insertions/deletions (indels) and copy number alterations (CNAs), which in turn lead to genomic instability that is characteristic of almost all cancer types. In this context, it is thought that genomic instability has critical roles in cancer initiation, progression and intra-tumor heterogeneity (ITH). DSBs have also been exploited for genome-editing purposes where using different CRISPR (clustered regularly interspaced short palindromic repeats) systems, one can create DSBs in the target DNA to alter sequences and modify gene function. However, this approach is not without drawbacks, as DSBs can be created at sites other than the intended target (known as off-target effects), which can potentially be mutagenic. Therefore, given the importance of DSBs in genomic instability, their role in generation of CNAs and genome-editing technologies, it is of great interest to determine genomic locations of DSBs and their frequency along the genome, together with DNA copy number profiling. Thus, the focus of this thesis was to develop molecular tools for detection and quantification of DSBs with single-nucleotide resolution in different model systems, in combination with the development of technologies for DNA copy number profiling, by which we can collectively understand the biology behind DSBs, their links to CNAs in the context of cancer and assess the safety profile of CRISPR systems for therapeutic applications. In Paper I, we developed BLISS (Breaks Labeling In Situ and Sequencing) as a quantitative method enabling genome-wide DSB profiling. We showed that BLISS accurately identified both endogenous and drug-induced DSBs genome-wide, even in samples of a few thousand cells and in single tissue sections. Additionally, we demonstrated that BLISS is a powerful tool to measure the off-target activities of Cas9 and Cpf1 CRISPR systems, and indeed we found that Cpf1 was more specific than Cas9. In Paper II, using BLISS-generated DSB data from cell lines, we modeled the contribution of genetic and epigenetic features in shaping the cancer fragility, and made predictions of the frequency of expected breaks across the human genome. We constructed random forest regression models from four DSB datasets and found that the most influential feature in DSB frequency prediction is replication timing across all models. In addition, we noticed that open chromatin at transcriptionally active genes and associated regulatory factors have the largest influence on the frequency of DSBs than transcription per se. In Paper III, we developed CUTseq, which builds on the design of BLISS from Paper I, and can be used for gDNA barcoding and amplification to generate multiplexed DNA sequencing libraries for performing reduced representation sequencing of DNA samples extracted from cell lines, FFPE tissue sections or small sub-regions thereof. We demonstrated the applicability of CUTseq for CNA profiling, and showed that CUTseq can reproducibly detect a considerable fraction of high-confidence single nucleotide variants (SNVs) that were also detected by a standard exome capture method. Finally, we demonstrated that CUTseq can be applied for multi-region tumor sequencing to assess ITH of CNA profiles of multiple-small regions of a single FFPE tissue sections of primary and metastatic breast cancer lesions.
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