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Kerstin Spirohn

Researcher at Harvard University

Publications -  30
Citations -  3309

Kerstin Spirohn is an academic researcher from Harvard University. The author has contributed to research in topics: Interactome & Biology. The author has an hindex of 15, co-authored 23 publications receiving 2365 citations. Previous affiliations of Kerstin Spirohn include German Cancer Research Center & Heidelberg University.

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Journal ArticleDOI

A proteome-scale map of the human interactome network

Thomas Rolland, +80 more
- 20 Nov 2014 - 
TL;DR: The map uncovers significant interconnectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high-quality interactome models will help "connect the dots" of the genomic revolution.
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A reference map of the human binary protein interactome

Katja Luck, +94 more
- 08 Apr 2020 - 
TL;DR: The utility of HuRI is demonstrated in identifying the specific subcellular roles of protein–protein interactions and in identifying potential molecular mechanisms that might underlie tissue-specific phenotypes of Mendelian diseases.
Journal ArticleDOI

Widespread Expansion of Protein Interaction Capabilities by Alternative Splicing

TL;DR: This work cloned full-length open reading frames of alternatively spliced transcripts for a large number of human genes and used protein-protein interaction profiling to functionally compare hundreds of protein isoform pairs, revealing a widespread expansion of protein interaction capabilities through alternative splicing and suggesting that many alternative "isoforms" are functionally divergent (i.e., "functional alloforms").
Journal ArticleDOI

Network-based prediction of protein interactions.

TL;DR: It is shown that proteins tend to interact if one is similar to the other’s partners and that PPI prediction based on this principle is highly accurate and can offer mechanistic insights into disease mechanisms and complement future experimental efforts to complete the human interactome.
Posted ContentDOI

Network-based prediction of protein interactions

TL;DR: A fundamental organizing principle of biological networks is unveiled, L3, that predicts yet uncovered protein interactions based on paths of length three (L3) and is expected to have a broad applicability, enabling to better understand the emergence of biological function under both healthy and pathological conditions.