| 1. |
- Kostallas, George
(author)
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Intracellular systems for characterization and engineering of proteases and their substrates
- 2011
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Doctoral thesis (other academic/artistic)abstract
- Over the years, the view on proteases as relatively non-specific protein degradation enzymes, mainly involved in food digestion and intracellular protein turnover, has shifted and they are now recognized as key regulators of many biological processes that determine the fate of a cell. Besides their biological role, proteases have emerged as important tools in various biotechnical, industrial and medical applications. At present, there are worldwide efforts made that aim at deciphering the biological role of proteases and understanding their mechanism of action in greater detail. In addition, with the growing demand of novel protease variants adapted to specific applications, protease engineering is attracting a lot of attention. With the vision of contributing to the field of protein science, we have developed a platform for the identification of site-specific proteolysis, consisting of two intracellular genetic assays; one fluorescence-based (Paper I) and one antibiotic resistance-based (Paper IV). More specifically, the assays take advantage of genetically encoded short-lived reporter substrates that upon cleavage by a coexpressed protease confer either increased whole-cell fluorescence or antibiotic resistance to the cells in proportion to the efficiency with which the substrates are processed. Thus, the fluorescence-based assay is highly suitable for high-throughput analysis of substrate processing efficiency by flow cytometry analysis and cell sorting, while the antibiotic resistance assay can be used to monitor and identify proteolysis through (competitive) growth in selective media. By using the highly sequence specific tobacco etch virus protease (TEVp) as a model in our systems, we could show that both allowed for (i) discrimination among closely related substrate peptides (Paper I & IV) and (ii) enrichment and identification of the best performing substrate-protease combination from a background of suboptimal variants (Paper I & IV). In addition, the fluorescence-based assay was used successfully to determine the substrate specificity of TEVp by flow cytometric screening of large combinatorial substrate libraries (Paper II), and in a separate study also used as one of several methods for the characterization of different TEVp mutants engineered for improved solubility (Paper III). We believe that our assays present a new and promising path forward for high-throughput substrate profiling of proteases, directed evolution of proteases and identification of protease inhibitors, which all are areas of great biological, biotechnical and medical interest.
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| 2. |
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| 3. |
- Asp, Michaela, et al.
(author)
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A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
- 2019
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In: Cell. - : CELL PRESS. - 0092-8674 .- 1097-4172. ; 179:7, s. 1647-
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Journal article (peer-reviewed)abstract
- The process of cardiac morphogenesis in humans is incompletely understood. Its full characterization requires a deep exploration of the organ-wide orchestration of gene expression with a single-cell spatial resolution. Here, we present a molecular approach that reveals the comprehensive transcriptional landscape of cell types populating the embryonic heart at three developmental stages and that maps cell-type-specific gene expression to specific anatomical domains. Spatial transcriptomics identified unique gene profiles that correspond to distinct anatomical regions in each developmental stage. Human embryonic cardiac cell types identified by single-cell RNA sequencing confirmed and enriched the spatial annotation of embryonic cardiac gene expression. In situ sequencing was then used to refine these results and create a spatial subcellular map for the three developmental phases. Finally, we generated a publicly available web resource of the human developing heart to facilitate future studies on human cardiogenesis.
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| 4. |
- Asp, Michaela, et al.
(author)
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An organ‐wide gene expression atlas of the developing human heart
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Other publication (other academic/artistic)abstract
- The human developing heart holds a greater proportion of stem-cell-like cells than the adult heart. However, it is not completely understood how these stem cells differentiate into various cardiac cell types. We have performed an organ-wide transcriptional landscape analysis of the developing heart to advance our understanding of cardiac morphogenesis in humans. Comprehensive spatial gene expression analyses identified distinct profiles that correspond not only to individual chamber compartments, but also distinctive regions within the outflow tract. Furthermore, the generated spatial expression reference maps facilitated the assignment of 3,787 human embryonic cardiac cells obtained from single-cell RNA-sequencing to an in situlocation. Through this approach we reveal that the outflow tract contains a wider range of cell types than the chambers, and that the epicardium expression profile can be traced to several cell types that are activated at different stages of development. We also provide a 3D spatial model of human embryonic cardiac cells to enable further studies of the developing human heart.
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| 5. |
- Baeckdahl, Jesper, et al.
(author)
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Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulin
- 2021
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In: Cell Metabolism. - : Elsevier BV. - 1550-4131 .- 1932-7420. ; 33:9, s. 1869-
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Journal article (peer-reviewed)abstract
- The contribution of cellular heterogeneity and architecture to white adipose tissue (WAT) function is poorly understood. Herein, we combined spatially resolved transcriptional profiling with single-cell RNA sequencing and image analyses to map human WAT composition and structure. This identified 18 cell classes with unique propensities to form spatially organized homo-and heterotypic clusters. Of these, three constituted mature adipocytes that were similar in size, but distinct in their spatial arrangements and transcriptional profiles. Based on marker genes, we termed these Adipo(LEP), Adipo(PLIN), and Adipo(SAA). We confirmed, in independent datasets, that their respective gene profiles associated differently with both adipocyte and whole-body insulin sensitivity. Corroborating our observations, insulin stimulation in vivo by hyperinsulinemic-euglycemic clamp showed that only Adipo(PLIN) displayed a transcriptional response to insulin. Altogether, by mining this multimodal resource we identify that human WAT is composed of three classes of mature adipocytes, only one of which is insulin responsive.
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| 6. |
- Berglund, Emelie, et al.
(author)
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Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity
- 2018
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9
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Journal article (peer-reviewed)abstract
- Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today. Here we investigate tissue-wide gene expression heterogeneity throughout a multifocal prostate cancer using the spatial transcriptomics (ST) technology. Utilizing a novel approach for deconvolution, we analyze the transcriptomes of nearly 6750 tissue regions and extract distinct expression profiles for the different tissue components, such as stroma, normal and PIN glands, immune cells and cancer. We distinguish healthy and diseased areas and thereby provide insight into gene expression changes during the progression of prostate cancer. Compared to pathologist annotations, we delineate the extent of cancer foci more accurately, interestingly without link to histological changes. We identify gene expression gradients in stroma adjacent to tumor regions that allow for re-stratification of the tumor microenvironment. The establishment of these profiles is the first step towards an unbiased view of prostate cancer and can serve as a dictionary for future studies.
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| 7. |
- Bhalla, Nayanika, et al.
(author)
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Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia
- 2023
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In: Placenta. - : Elsevier BV. - 0143-4004 .- 1532-3102. ; 139, s. 213-216
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Journal article (peer-reviewed)abstract
- Spatial transcriptomics (ST) maps RNA level patterns within a tissue. This technology has not been previously applied to human placental tissue. We demonstrate analysis of human placental samples with ST. Unsupervised clustering revealed that distinct RNA patterns were found corresponding to different morphological structures. Additionally, when focusing upon terminal villi and hemoglobin associated structures, RNA levels differed between placentas from full term healthy pregnancies and those complicated by preeclampsia. The results from this study can provide a benchmark for future ST studies in placenta.
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| 9. |
- Carlberg, Konstantin, et al.
(author)
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Exploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics
- 2019
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In: Scientific Reports. - : NATURE PUBLISHING GROUP. - 2045-2322. ; 9
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Journal article (peer-reviewed)abstract
- Lately it has become possible to analyze transcriptomic profiles in tissue sections with retained cellular context. We aimed to explore synovial biopsies from rheumatoid arthritis (RA) and spondyloarthritis (SpA) patients, using Spatial Transcriptomics (ST) as a proof of principle approach for unbiased mRNA studies at the site of inflammation in these chronic inflammatory diseases. Synovial tissue biopsies from affected joints were studied with ST. The transcriptome data was subjected to differential gene expression analysis (DEA), pathway analysis, immune cell type identification using Xcell analysis and validation with immunohistochemistry (IHC). The ST technology allows selective analyses on areas of interest, thus we analyzed morphologically distinct areas of mononuclear cell infiltrates. The top differentially expressed genes revealed an adaptive immune response profile and T-B cell interactions in RA, while in SpA, the profiles implicate functions associated with tissue repair. With spatially resolved gene expression data, overlaid on high-resolution histological images, we digitally portrayed pre-selected cell types in silico. The RA displayed an overrepresentation of central memory T cells, while in SpA effector memory T cells were most prominent. Consequently, ST allows for deeper understanding of cellular mechanisms and diversity in tissues from chronic inflammatory diseases.
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| 10. |
- Carlberg, Konstantin, et al.
(author)
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Integrated Single Cell and Spatial Transcriptomics Reveal Autoreactive Differentiated B Cells in Joints of Early Rheumatoid Arthritis
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Other publication (other academic/artistic)abstract
- Rheumatoid Arthritis (RA) is a prevalent autoimmune disease characterized by inflammation of peripheral joints. Patients can be subdivided by the presence or absence of Rheumatoid Factor and anti-citrullinated protein antibodies (ACPA) in their circulation. Inflammation of the joint tissue is associated with infiltration of leukocytes from the blood, which can result in generation of lymphoid structures composed of B and T cells. Previous studies have shown that both memory B cells and antibody-secreting plasma cells populate the rheumatic joint tissue when captured from established and often long-standing disease. However, it has remained unclear, whether these cells are autoreactive and whether the associated lymphoid structures are present at the site of inflammation already at the time of diagnosis. Here, we used an integrated single cell and spatial transcriptomic approach to study B and plasma cells in synovial tissue of ACPA- and ACPA+ RA patients at this early time point. We found evidence for T cell help to B cells and presence of memory B and plasma cell pools in ACPA- as well as in ACPA+ RA. Our results demonstrated common supportive microenvironments in both patient subgroups, clonal relationships between the memory B and plasma cell pools and autoreactivity within the plasma cell compartment. These findings challenge our understanding of the dynamics of local adaptive immune responses in the RA joint of ACPA- and ACPA+ patients at the time of diagnosis, with direct implications for B and T cell targeting therapies for both patient subgroups.
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