J

Joakim Lundeberg

KTH Royal Institute of Technology

ORCID: 0000-0003-4313-1601

Publishes on Single-cell and spatial transcriptomics, Molecular Biology Techniques and Applications, Gene expression and cancer classification. 520 papers and 46.2k citations.

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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
Cited by 3.8k

Analysis of the pattern of proteins or messengerRNAs (mRNAs) in histological tissue sections is a cornerstone in biomedical research and diagnostics. This typically involves the visualization of a few proteins or expressed genes at a time. We have devised a strategy, which we call "spatial transcriptomics," that allows visualization and quantitative analysis of the transcriptome with spatial resolution in individual tissue sections. By positioning histological sections on arrayed reverse transcription primers with unique positional barcodes, we demonstrate high-quality RNA-sequencing data with maintained two-dimensional positional information from the mouse brain and human breast cancer. Spatial transcriptomics provides quantitative gene expression data and visualization of the distribution of mRNAs within tissue sections and enables novel types of bioinformatics analyses, valuable in research and diagnostics.

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues
Cited by 2.5kOpen Access

There is pressing urgency to understand the pathogenesis of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2), which causes the disease COVID-19. SARS-CoV-2 spike (S) protein binds angiotensin-converting enzyme 2 (ACE2), and in concert with host proteases, principally transmembrane serine protease 2 (TMPRSS2), promotes cellular entry. The cell subsets targeted by SARS-CoV-2 in host tissues and the factors that regulate ACE2 expression remain unknown. Here, we leverage human, non-human primate, and mouse single-cell RNA-sequencing (scRNA-seq) datasets across health and disease to uncover putative targets of SARS-CoV-2 among tissue-resident cell subsets. We identify ACE2 and TMPRSS2 co-expressing cells within lung type II pneumocytes, ileal absorptive enterocytes, and nasal goblet secretory cells. Strikingly, we discovered that ACE2 is a human interferon-stimulated gene (ISG) in vitro using airway epithelial cells and extend our findings to in vivo viral infections. Our data suggest that SARS-CoV-2 could exploit species-specific interferon-driven upregulation of ACE2, a tissue-protective mediator during lung injury, to enhance infection.

A Human Protein Atlas for Normal and Cancer Tissues Based on Antibody Proteomics
Mathias Uhlén, Erik Björling, Charlotta Agaton et al.|Molecular & Cellular Proteomics|2005
Cited by 1.6kOpen Access

Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression human a the to human a to a for functional to protein to this to the of human a for Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. 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The Norway spruce genome sequence and conifer genome evolution
Cited by 1.5kOpen Access

Conifers have dominated forests for more than 200 million years and are of huge ecological and economic importance. Here we present the draft assembly of the 20-gigabase genome of Norway spruce (Picea abies), the first available for any gymnosperm. The number of well-supported genes (28,354) is similar to the >100 times smaller genome of Arabidopsis thaliana, and there is no evidence of a recent whole-genome duplication in the gymnosperm lineage. Instead, the large genome size seems to result from the slow and steady accumulation of a diverse set of long-terminal repeat transposable elements, possibly owing to the lack of an efficient elimination mechanism. Comparative sequencing of Pinus sylvestris, Abies sibirica, Juniperus communis, Taxus baccata and Gnetum gnemon reveals that the transposable element diversity is shared among extant conifers. Expression of 24-nucleotide small RNAs, previously implicated in transposable element silencing, is tissue-specific and much lower than in other plants. We further identify numerous long (>10,000 base pairs) introns, gene-like fragments, uncharacterized long non-coding RNAs and short RNAs. This opens up new genomic avenues for conifer forestry and breeding. The draft genome of the Norway spruce (P. abies) is presented; this is the first gymnosperm genome to be sequenced and reveals a large genome size (20 Gb) resulting from the accumulation of transposable elements, and comparative sequencing of five other gymnosperm genomes provides insights into conifer genome evolution. The first draft gymnosperm genome, that of a Norway spruce (Picea abies), is published this week by the Spruce Genome Project consortium. The genome is from a tree originally collected in 1959 in eastern Jämtland, central Sweden. At 20 gigabases, the genome is more than a hundred times larger than that of the model plant species Arabidopsis, but the two contain a similar number of genes. The large genome size is the result of an accumulation of transposable elements. Comparative sequencing of five further gymnosperm genomes suggests that transposable element diversity is shared among extant conifers. The sequence data are available for public access from the ConGenIE website ( http://congenie.org/ ).