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| 2. |
- Alm, Tove, et al.
(författare)
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Introducing the Affinity Binder Knockdown Initiative-A public-private partnership for validation of affinity reagents
- 2016
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Ingår i: EuPA Open Proteomics. - : Elsevier. - 2212-9685. ; 10, s. 56-58
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Tidskriftsartikel (refereegranskat)abstract
- The newly launched Affinity Binder Knockdown Initiative encourages antibody suppliers and users to join this public-private partnership, which uses crowdsourcing to collect characterization data on antibodies. Researchers are asked to share validation data from experiments where gene-editing techniques (such as siRNA or CRISPR) have been used to verify antibody binding. The initiative is launched under the aegis of Antibodypedia, a database designed to allow comparisons and scoring of publicly available antibodies towards human protein targets. What is known about an antibody is the foundation of the scoring and ranking system in Antibodypedia.
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| 3. |
- Alm, Tove L., et al.
(författare)
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ANTIBODYPEDIA : THE WIKI OF ANTIBODIES
- 2016
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Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 27
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Tidskriftsartikel (refereegranskat)
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| 4. |
- Alm, Tove L., et al.
(författare)
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Antibodypedia - The wiki of antibodies
- 2015
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Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 26
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 5. |
- Alm, Tove L., et al.
(författare)
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The Affinity Binder Knockdown Initiative.
- 2016
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Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 27
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Tidskriftsartikel (refereegranskat)
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| 6. |
- Alm, Tove L., et al.
(författare)
-
The Affinity Binder Knockdown Initiative
- 2015
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Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 26
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 7. |
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| 8. |
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| 9. |
- Thul, Peter J., et al.
(författare)
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A subcellular map of the human proteome
- 2017
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Ingår i: Science. - : American Association for the Advancement of Science. - 0036-8075 .- 1095-9203. ; 356:6340
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Tidskriftsartikel (refereegranskat)abstract
- Resolving the spatial distribution of the human proteome at a subcellular level can greatly increase our understanding of human biology and disease. Here we present a comprehensive image-based map of subcellular protein distribution, the Cell Atlas, built by integrating transcriptomics and antibody-based immunofluorescence microscopy with validation by mass spectrometry. Mapping the in situ localization of 12,003 human proteins at a single-cell level to 30 subcellular structures enabled the definition of the proteomes of 13 major organelles. Exploration of the proteomes revealed single-cell variations in abundance or spatial distribution and localization of about half of the proteins to multiple compartments. This subcellular map can be used to refine existing protein-protein interaction networks and provides an important resource to deconvolute the highly complex architecture of the human cell.
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| 10. |
- Uhlén, Mathias, et al.
(författare)
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Tissue-based map of the human proteome
- 2015
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 347:6220, s. 1260419-
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Tidskriftsartikel (refereegranskat)abstract
- Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
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