Literature DB >> 26247297

Complementary IMAC enrichment methods for HLA-associated phosphopeptide identification by mass spectrometry.

Jennifer G Abelin1, Paisley D Trantham1, Sarah A Penny2, Andrea M Patterson3, Stephen T Ward2, William H Hildebrand3, Mark Cobbold2, Dina L Bai1, Jeffrey Shabanowitz1, Donald F Hunt4.   

Abstract

Phosphorylation events within cancer cells often become dysregulated, leading to oncogenic signaling and abnormal cell growth. Phosphopeptides derived from aberrantly phosphorylated proteins that are presented on tumors and not on normal tissues by human leukocyte antigen (HLA) class I molecules are promising candidates for future cancer immunotherapies, because they are tumor specific and have been shown to elicit cytotoxic T cell responses. Robust phosphopeptide enrichments that are suitable for low input amounts must be developed to characterize HLA-associated phosphopeptides from clinical samples that are limited by material availability. We present two complementary mass spectrometry-compatible, iron(III)-immobilized metal affinity chromatography (IMAC) methods that use either nitrilotriacetic acid (NTA) or iminodiacetic acid (IDA) in-house-fabricated columns. We developed these protocols to enrich for subfemtomole-level phosphopeptides from cell line and human tissue samples containing picograms of starting material, which is an order of magnitude less material than what is commonly used. In addition, we added a peptide esterification step to increase phosphopeptide specificity from these low-input samples. To date, hundreds of phosphopeptides displayed on melanoma, ovarian cancer, leukemia and colorectal cancer have been identified using these highly selective phosphopeptide enrichment protocols in combination with a program called 'CAD Neutral Loss Finder' that identifies all spectra containing the characteristic neutral loss of phosphoric acid from phosphorylated serine and threonine residues. This methodology enables the identification of HLA-associated phosphopeptides presented by human tissue samples containing as little as nanograms of peptide material in 2 d.

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Year:  2015        PMID: 26247297      PMCID: PMC4640213          DOI: 10.1038/nprot.2015.086

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  41 in total

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Journal:  Mass Spectrom Rev       Date:  2010 Jan-Feb       Impact factor: 10.946

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6.  Subfemtomole MS and MS/MS peptide sequence analysis using nano-HPLC micro-ESI fourier transform ion cyclotron resonance mass spectrometry.

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7.  Identification of class I MHC-associated phosphopeptides as targets for cancer immunotherapy.

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8.  Highly selective enrichment of phosphorylated peptides using titanium dioxide.

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9.  Robust phosphoproteome enrichment using monodisperse microsphere-based immobilized titanium (IV) ion affinity chromatography.

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Journal:  Nat Protoc       Date:  2013-02-07       Impact factor: 13.491

10.  Phosphorylation-dependent interaction between antigenic peptides and MHC class I: a molecular basis for the presentation of transformed self.

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Journal:  Nat Immunol       Date:  2008-10-05       Impact factor: 25.606

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  24 in total

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Review 2.  Mapping the tumour human leukocyte antigen (HLA) ligandome by mass spectrometry.

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Journal:  Immunology       Date:  2018-05-08       Impact factor: 7.397

3.  Mass spectrometry-based identification of MHC-bound peptides for immunopeptidomics.

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Review 4.  The Role of Neoantigens in Naturally Occurring and Therapeutically Induced Immune Responses to Cancer.

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Journal:  Adv Immunol       Date:  2016-02-10       Impact factor: 3.543

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6.  The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

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Review 7.  Recent advances in phosphoproteomics and application to neurological diseases.

Authors:  Justine V Arrington; Chuan-Chih Hsu; Sarah G Elder; W Andy Tao
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Review 8.  Antigen Discovery and Therapeutic Targeting in Hematologic Malignancies.

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Review 9.  Current tools for predicting cancer-specific T cell immunity.

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Journal:  Oncoimmunology       Date:  2016-04-25       Impact factor: 8.110

10.  Targeted Quantification of Phosphorylation Dynamics in the Context of EGFR-MAPK Pathway.

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