Sökning: "Spatial Transcriptomics"

Visar resultat 1 - 5 av 40 avhandlingar innehållade orden Spatial Transcriptomics.

1. 1. Computational Methods for Image-Based Spatial Transcriptomics

   Författare :Axel Andersson; Carolina Wählby; Anna Klemm; Filip Malmberg; Karl Åström; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Spatial omics; Spatial transcriptomics; Spatial biology; In Situ Sequencing; Visualization; Spatial statistics; Fluorescence microscopy; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Why does cancer develop, spread, grow, and lead to mortality? To answer these questions, one must study the fundamental building blocks of all living organisms — cells. Like a well-calibrated manufacturing unit, cells follow precise instructions by gene expression to initiate the synthesis of proteins, the workforces that drive all living biochemical processes. LÄS MER

3. 2. The Spatial Context – through the lens of method development

   Författare :Linda Kvastad; Joakim Lundeberg; Lars Feuk; KTH; []
   Nyckelord :RNA; RNA-sequencing; transcriptomics; spatial transcriptomics; single cells; pediatric brain tumors; Spatial RIN; Bioteknologi; Biotechnology;

   Sammanfattning : In the present moment of time, we find ourselves in a period where the advancement of genomic tools is progressing at a fast pace. Of particular interest for this thesis is the study of gene activity. LÄS MER

4. 3. Spatial transcriptome and epigenome analysis with focus on prostate cancer

   Författare :Maja Marklund; Joakim Lundeberg; Patrik Ståhl; Marc Friedländer; KTH; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Spatial; Spatial Transcriptomics; Spatial ATAC; epigenomics; Biotechnology; Bioteknologi;

   Sammanfattning : Each cancer is unique, and therefore the use of general treatments are often suboptimal. If we can understand the mechanisms of cancer development, we might be able to develop effective treatments tailored to each patient. Our bodies are complex three-dimensional structures and how things are organized correlate with proper functioning. LÄS MER

5. 4. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape

   Författare :Alma Andersson; Joakim Lundeberg; Omer Bayraktar; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spatial transcriptomics; machine learning; data analysis; RNA-seq; probabilistic; statistical; models; Biotechnology; Bioteknologi;

   Sammanfattning : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. LÄS MER

7. 5. Exploring Biological Systems using Spatial Transcriptomic Technologies

   Författare :Kim Thrane; Joakim Lundeberg; Patrik Ståhl; Ulf Gyllensten; KTH; []
   Nyckelord :Spatial Transcriptomics; single-cell RNA-seq; scRNA-seq; spatial VDJ; Spatial Isoform Transcriptomics; Biotechnology; Bioteknologi;

   Sammanfattning : The transcriptome and the cells’ spatial organization are important determinants for the functions of biological systems, such as a tumor, brain, or skin tissue. Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for profiling the transcriptome of individual cells. LÄS MER