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John C. Castle

Researcher at University of Mainz

Publications -  90
Citations -  16680

John C. Castle is an academic researcher from University of Mainz. The author has contributed to research in topics: Gene & Alternative splicing. The author has an hindex of 41, co-authored 80 publications receiving 15196 citations. Previous affiliations of John C. Castle include Merck & Co..

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Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs

TL;DR: These results suggest that metazoan miRNAs can reduce the levels of many of their target transcripts, not just the amount of protein deriving from these transcripts, and seem to downregulate a far greater number of targets than previously appreciated.
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Genome-wide survey of human alternative pre-mRNA splicing with exon junction microarrays.

TL;DR: These genome-wide data provide experimental evidence and tissue distributions for thousands of known and novel alternative splicing events and indicate that at least 74% of human multi-exon genes are alternatively spliced.
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An integrative genomics approach to infer causal associations between gene expression and disease

TL;DR: It is shown that this approach can predict transcriptional responses to single gene–perturbation experiments using gene-expression data in the context of a segregating mouse population and the utility of this approach is demonstrated by identifying and experimentally validating the involvement of three new genes in susceptibility to obesity.
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Mutant MHC class II epitopes drive therapeutic immune responses to cancer

TL;DR: The tailored immunotherapy approach introduced here may be regarded as a universally applicable blueprint for comprehensive exploitation of the substantial neo-epitope target repertoire of cancers, enabling the effective targeting of every patient’s tumour with vaccines produced ‘just in time’.
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Genome-Scale RNAi Screen for Host Factors Required for HIV Replication

TL;DR: In this article, the authors conducted a genome-scale siRNA screen, revealing more than 311 host factors, including 267 that were not previously linked to HIV, and found that there was little overlap between these genes and the HIV dependency factors described recently.