A tool to facilitate clinical biomarker studies--a tissue dictionary based on the Human Protein Atlas.

Abstract:

: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.

journal_name

BMC Med

journal_title

BMC medicine

authors

Kampf C,Bergman J,Oksvold P,Asplund A,Navani S,Wiking M,Lundberg E,Uhlén M,Ponten F

doi

10.1186/1741-7015-10-103

subject

Has Abstract

pub_date

2012-09-12 00:00:00

pages

103

issn

1741-7015

pii

1741-7015-10-103

journal_volume

10

pub_type

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