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Open AccessJournal ArticleDOI

Ribosomal Proteins Regulate MHC Class I Peptide Generation for Immunosurveillance.

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TLDR
It is shown that 60S ribosomal proteins L6 and RPL28, which are adjacent on the ribosome, play opposite roles in generating an influenza A virus-encoded peptide, which raises the possibility of modulating immunosurveillance by pharmaceutical targeting ribosomes.
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This article is published in Molecular Cell.The article was published on 2019-03-21 and is currently open access. It has received 68 citations till now. The article focuses on the topics: Ribosomal protein & Immunosurveillance.

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A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion.

TL;DR: How dysregulated protein translation in cancer cells is an important source of tumour-specific peptides for immunosurveillance and how MHC class I antigen-processing and presentation pathways are manipulated by tumours for immunoevasion are described — information that will inform cancer immunotherapy approaches.
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Identification of the Cryptic HLA-I Immunopeptidome

TL;DR: Peptide-PRISM represents an important step toward comprehensive identification of HLA-I immunopeptidomes and reveals cryptic peptides as an abundant class of epitopes with potential relevance for novel immunotherapeutic approaches.
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Beneficial autoimmunity improves cancer prognosis.

TL;DR: In this article, the authors discuss examples of spontaneous as well as therapy-induced auto-immunity that correlate with favorable disease outcomes and make a strong case in favour of this "beneficial auto immunity" being important not only in patients with advanced-stage disease but also in cancer immunosurveillance.
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The Ubiquitin-Proteasome System in Immune Cells.

TL;DR: The ubiquitin-proteasome system (UPS) is the major intracellular and non-lysosomal protein degradation system as mentioned in this paper, which is responsible for eliminating old, damaged, misfolded, and regulatory proteins in a highly specific manner.
References
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
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Trimmomatic: a flexible trimmer for Illumina sequence data

TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
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Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

TL;DR: By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
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MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

TL;DR: MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data, detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space and achieves mass accuracy in the p.p.b. range.
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