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Molecular pixelation: spatial proteomics of single cells by sequencing.
Karlsson, Filip; Kallas, Tomasz; Thiagarajan, Divya; Karlsson, Max; Schweitzer, Maud; Navarro, Jose Fernandez; Leijonancker, Louise; Geny, Sylvain; Pettersson, Erik; Rhomberg-Kauert, Jan; Larsson, Ludvig; van Ooijen, Hanna; Petkov, Stefan; González-Granillo, Marcela; Bunz, Jessica; Dahlberg, Johan; Simonetti, Michele; Sathe, Prajakta; Brodin, Petter; Barrio, Alvaro Martinez; Fredriksson, Simon.
Afiliação
  • Karlsson F; Pixelgen Technologies AB, Stockholm, Sweden. filip.karlsson@pixelgen.com.
  • Kallas T; Pixelgen Technologies AB, Stockholm, Sweden.
  • Thiagarajan D; Pixelgen Technologies AB, Stockholm, Sweden.
  • Karlsson M; Pixelgen Technologies AB, Stockholm, Sweden.
  • Schweitzer M; Pixelgen Technologies AB, Stockholm, Sweden.
  • Navarro JF; Pixelgen Technologies AB, Stockholm, Sweden.
  • Leijonancker L; Pixelgen Technologies AB, Stockholm, Sweden.
  • Geny S; Pixelgen Technologies AB, Stockholm, Sweden.
  • Pettersson E; Pixelgen Technologies AB, Stockholm, Sweden.
  • Rhomberg-Kauert J; Pixelgen Technologies AB, Stockholm, Sweden.
  • Larsson L; Pixelgen Technologies AB, Stockholm, Sweden.
  • van Ooijen H; Pixelgen Technologies AB, Stockholm, Sweden.
  • Petkov S; Pixelgen Technologies AB, Stockholm, Sweden.
  • González-Granillo M; Pixelgen Technologies AB, Stockholm, Sweden.
  • Bunz J; Pixelgen Technologies AB, Stockholm, Sweden.
  • Dahlberg J; Pixelgen Technologies AB, Stockholm, Sweden.
  • Simonetti M; Pixelgen Technologies AB, Stockholm, Sweden.
  • Sathe P; Pixelgen Technologies AB, Stockholm, Sweden.
  • Brodin P; Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.
  • Barrio AM; Department of Immunology and Inflammation, Imperial College London, London, UK.
  • Fredriksson S; Medical Research Council London Institute of Medical Sciences (LMS), Imperial College Hammersmith Campus, London, UK.
Nat Methods ; 21(6): 1044-1052, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38720062
ABSTRACT
The spatial distribution of cell surface proteins governs vital processes of the immune system such as intercellular communication and mobility. However, fluorescence microscopy has limited scalability in the multiplexing and throughput needed to drive spatial proteomics discoveries at subcellular level. We present Molecular Pixelation (MPX), an optics-free, DNA sequence-based method for spatial proteomics of single cells using antibody-oligonucleotide conjugates (AOCs) and DNA-based, nanometer-sized molecular pixels. The relative locations of AOCs are inferred by sequentially associating them into local neighborhoods using the sequence-unique DNA pixels, forming >1,000 spatially connected zones per cell in 3D. For each single cell, DNA-sequencing reads are computationally arranged into spatial proteomics networks for 76 proteins. By studying immune cell dynamics using spatial statistics on graph representations of the data, we identify known and new patterns of spatial organization of proteins on chemokine-stimulated T cells, highlighting the potential of MPX in defining cell states by the spatial arrangement of proteins.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Análise de Célula Única Limite: Humans Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Análise de Célula Única Limite: Humans Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia
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