Search for dissertations about: "spatially-resolved transcriptomics"

Showing result 1 - 5 of 10 swedish dissertations containing the words spatially-resolved transcriptomics.

  1. 1. Spatially Resolved Gene Expression Analysis

    Author : Michaela Asp; Joakim Lundeberg; Patrik Ståhl; Thierry Voet; KTH; []
    Keywords : RNA; RNA-sequencing; transcriptomics; spatial transcriptomics; single cells; Biotechnology; Bioteknologi;

    Abstract : Spatially resolved transcriptomics has greatly expanded our knowledge of complex multicellular biological systems. To date, several technologies have been developed that combine gene expression data with information about its spatial tissue context. READ MORE

  2. 2. Spatially resolved and single cell transcriptomics

    Author : Fredrik Salmén; Joakim Lundeberg; Patrik Ståhl; Elaine R. Mardis; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; spatial; transcriptomics; single cell; 3D; RNA-sequencing; Biotechnology; Bioteknologi;

    Abstract : In recent years, massive parallel sequencing has revolutionized the field of biology and has provided us with a vast number of new discoveries in fields such as neurology, developmental biology and cancer research. A significant area is deciphering gene expression patterns, as well as other aspects of transcriptome information, such as the impact of splice variants and mutations on biological functions and disease development. READ MORE

  3. 3. In situ Sequencing : Methods for spatially-resolved transcriptome analysis

    Author : Marco Mignardi; Mats Nilsson; Xiaoliang Sunney Xie; Stockholms universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Padlock probes; rolling circle amplification; in situ sequencing; spatially-resolved transcriptomics; molecular diagnostics; biokemi; Biochemistry;

    Abstract : It is well known that cells in tissues display a large heterogeneity in gene expression due to differences in cell lineage origin and variation in the local environment at different sites in the tissue, a heterogeneity that is difficult to study by analyzing bulk RNA extracts from tissue. Recently, genome-wide transcriptome analysis technologies have enabled the analysis of this variation with single-cell resolution. READ MORE

  4. 4. Computational methods for analysis and visualization of spatially resolved transcriptomes

    Author : Jose Fernandez Navarro; Joakim Lundeberg; Martin Hemberg; KTH; []
    Keywords : RNA; RNA-seq; single cell; scRNA-seq; transcriptomics; spatial transcriptomics; brain; 3D; Alzheimer’s disease; Biotechnology; Bioteknologi;

    Abstract : Characterizing the expression level of genes (transcriptome) in cells and tis- sues is essential for understanding the biological processes of multicellular or- ganisms. RNA sequencing (RNA-seq) has gained traction in the last decade as a powerful tool that provides an accurate quantitative representation of the transcriptome in tissues. READ MORE

  5. 5. Image and Data Analysis for Spatially Resolved Transcriptomics : Decrypting fine-scale spatial heterogeneity of tissue's molecular architecture

    Author : Gabriele Partel; Carolina Wählby; Anna H Klemm; Mats Nilsson; Roland Eils; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; iss; image; processing; clustering; deep learning; GCN; graph;

    Abstract : Our understanding of the biological complexity in multicellular organisms has progressed at tremendous pace in the last century and even more in the last decades with the advent of sequencing technologies that make it possible to interrogate the genome and transcriptome of individual cells. It is now possible to even spatially profile the transcriptomic landscape of tissue architectures to study the molecular organization of tissue heterogeneity at subcellular resolution. READ MORE