Digitala Vetenskapliga Arkivet

Endre søk
Begrens søket
1 - 3 of 3
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Treff pr side
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
Merk
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Danielsson, Frida
    et al.
    KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Skogs, Marie
    KTH, Skolan för bioteknologi (BIO), Proteomik (stängd 20130101). KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Huss, Mikael
    Rexhepaj, Elton
    KTH, Centra, Science for Life Laboratory, SciLifeLab.
    O'Hurley, Gillian
    Klevebring, Daniel
    KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Pontén, Fredrik
    Gad, Annica K. B.
    Uhlén, Mathias
    KTH, Skolan för bioteknologi (BIO), Proteomik (stängd 20130101). KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Lundberg, Emma
    KTH, Skolan för bioteknologi (BIO), Proteomik (stängd 20130101). KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Majority of differentially expressed genes are down-regulated during malignant transformation in a four-stage model2013Inngår i: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 110, nr 17, s. 6853-6858Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The transformation of normal cells to malignant, metastatic tumor cells is a multistep process caused by the sequential acquirement of genetic changes. To identify these changes, we compared the transcriptomes and levels and distribution of proteins in a four-stage cell model of isogenically matched normal, immortalized, transformed, and metastatic human cells, using deep transcriptome sequencing and immunofluorescence microscopy. The data show that similar to 6% (n = 1,357) of the human protein-coding genes are differentially expressed across the stages in the model. Interestingly, the majority of these genes are down-regulated, linking malignant transformation to dedifferentiation. The up-regulated genes are mainly components that control cellular proliferation, whereas the down-regulated genes consist of proteins exposed on or secreted from the cell surface. As many of the identified gene products control basic cellular functions that are defective in cancers, the data provide candidates for follow-up studies to investigate their functional roles in tumor formation. When we further compared the expression levels of four of the identified proteins in clinical cancer cohorts, similar differences were observed between benign and cancer cells, as in the cell model. This shows that this comprehensive demonstration of the molecular changes underlying malignant transformation is a relevant model to study the process of tumor formation.

  • 2.
    Mahdessian, Diana
    et al.
    KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi.
    Sullivan, D. P.
    KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi.
    Rexhepaj, E.
    KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi.
    Murphy, R. F.
    Uhlen, M.
    Lundberg, Emma
    KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi.
    Spatiotemporal variations of the human proteome associated to cell cycle progression2016Inngår i: Molecular Biology of the Cell, ISSN 1059-1524, E-ISSN 1939-4586, Vol. 27Artikkel i tidsskrift (Fagfellevurdert)
  • 3.
    Stadler, Charlotte
    et al.
    KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Rexhepaj, Elton
    KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Singan, Vasanth R.
    Murphy, Robert F.
    Pepperkok, Rainer
    Uhlén, Mathias
    KTH, Skolan för bioteknologi (BIO), Proteomik (stängd 20130101). KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Simpson, Jeremy C.
    Lundberg, Emma
    KTH, Skolan för bioteknologi (BIO), Proteomik (stängd 20130101). KTH, Centra, Science for Life Laboratory, SciLifeLab.
    Immunofluorescence and fluorescent-protein tagging show high correlation for protein localization in mammalian cells2013Inngår i: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 10, nr 4, s. 315-323Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Imaging techniques such as immunofluorescence (IF) and the expression of fluorescent protein (FP) fusions are widely used to investigate the subcellular distribution of proteins. Here we report a systematic analysis of >500 human proteins comparing the localizations obtained in live versus fixed cells using FPs and IF, respectively. We identify systematic discrepancies between IF and FPs as well as between FP tagging at the N and C termini. The analysis shows that for 80% of the proteins, IF and FPs yield the same subcellular distribution, and the locations of 250 previously unlocalized proteins were determined by the overlap between the two methods. Approximately 60% of proteins localize to multiple organelles for both methods, indicating a complex subcellular protein organization. These results show that both IF and FP tagging are reliable techniques and demonstrate the usefulness of an integrative approach for a complete investigation of the subcellular human proteome.

1 - 3 of 3
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf