Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A tool to facilitate clinical biomarker studies - a tissue dictionary based on the Human Protein Atlas
KTH, Centra, Science for Life Laboratory, SciLifeLab. (HPR/M UHLÉN)ORCID-id: 0000-0003-3014-5502
Visa övriga samt affilieringar
2012 (Engelska)Ingår i: BMC Medicine, ISSN 1741-7015, E-ISSN 1741-7015, Vol. 10, s. 103-Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The complexity of tissue and the alterations that distinguish normal from cancer remain a challenge for translating results from tumor biological studies into clinical medicine. This has generated an unmet need to exploit the findings from studies based on cell lines and model organisms to develop, validate and clinically apply novel diagnostic, prognostic and treatment predictive markers. As one step to meet this challenge, the Human Protein Atlas project has been set up to produce antibodies towards human protein targets corresponding to all human protein coding genes and to map protein expression in normal human tissues, cancer and cells. Here, we present a dictionary based on microscopy images created as an amendment to the Human Protein Atlas. The aim of the dictionary is to facilitate the interpretation and use of the image-based data available in the Human Protein Atlas, but also to serve as a tool for training and understanding tissue histology, pathology and cell biology. The dictionary contains three main parts, normal tissues, cancer tissues and cells, and is based on high-resolution images at different magnifications of full tissue sections stained with H & E. The cell atlas is centered on immunofluorescence and confocal microscopy images, using different color channels to highlight the organelle structure of a cell. Here, we explain how this dictionary can be used as a tool to aid clinicians and scientists in understanding the use of tissue histology and cancer pathology in diagnostics and biomarker studies.

Ort, förlag, år, upplaga, sidor
2012. Vol. 10, s. 103-
Nyckelord [en]
Antibody-based proteomics, cancer biomarkers, tissue and cell dictionary, immunohistochemistry, protein expression, histology, pathology
Nationell ämneskategori
Medicinsk bioteknologi
Identifikatorer
URN: urn:nbn:se:kth:diva-110082DOI: 10.1186/1741-7015-10-103ISI: 000312389800001Scopus ID: 2-s2.0-84866045885OAI: oai:DiVA.org:kth-110082DiVA, id: diva2:585397
Forskningsfinansiär
Knut och Alice Wallenbergs StiftelseScience for Life Laboratory - a national resource center for high-throughput molecular bioscience
Anmärkning

QC 20130110

Tillgänglig från: 2013-01-10 Skapad: 2013-01-10 Senast uppdaterad: 2020-01-10Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Sök vidare i DiVA

Av författaren/redaktören
Oksvold, PerWiking, MikaelaLundberg, EmmaUhlén, Mathias
Av organisationen
Science for Life Laboratory, SciLifeLabProteomik (stängd 20130101)
I samma tidskrift
BMC Medicine
Medicinsk bioteknologi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 102 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf