Dataset Information

Cell surface glycoproteome liver and lung

ABSTRACT: Purpose Cell surface proteins are the primary means for a cell to sense and interact with its environment and their dysregulation has been linked to numerous diseases. In particular, the identification of proteins specific to a single tissue type or to a given disease phenotype may enable the characterization of novel therapeutic targets. We tested here the feasibility of a cell surface proteomics approach to identify pertinent markers directly in a clinically relevant tissue. Experimental design We analyzed the cell surface proteome of freshly isolated primary heptatocytes using a glycocapture-specific approach combined with a robust bioinformatics filtering. Results Using primary lung epithelial cell cultures as negative controls, we identified 32 hepatocyte-specific cell surface proteins candidates. We used mRNA expression to select six markers that may provide adequate specificity for targeting therapeutics to the liver. Conclusions and clinical relevance We demonstrate the feasibility and the importance of conducting such studies directly in a clinically-relevant tissue. In particular, the cell surface proteome of freshly isolated hepatocytes differed substantially from cultured cell lines.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hepatocyte, Lung, Liver, Epithelial Cell, Cell Culture

SUBMITTER: Axel Ducret

LAB HEAD: Axel Ducret

PROVIDER: PXD001988 | Pride | 2015-07-22

REPOSITORIES: Pride

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Publications

Identification of six cell surface proteins for specific liver targeting.

Ducret Axel A Kux van Geijtenbeek Sabine S Röder Daniel D Simon Sandrine S Chin Daniel D Berrera Marco M Gruenbaum Lore L Ji Changhua C Cutler Paul P

Proteomics. Clinical applications 20150801 7-8

<h4>Purpose</h4>Cell surface proteins are the primary means for a cell to sense and interact with its environment and their dysregulation has been linked to numerous diseases. In particular, the identification of proteins specific to a single tissue type or to a given disease phenotype may enable the characterization of novel therapeutic targets. We tested here the feasibility of a cell surface proteomics approach to identify pertinent markers directly in a clinically relevant tissue.<h4>Experim ...[more]

PMID: 26097162

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Project description:Glycosylation of proteins is one of the most common post-translational modification (PTM) and plays important regulatory functions in diverse biological processes such as protein stability or cell signaling. Accordingly, glycoproteins are also a consistent part of the human tear film proteome maintaining the proper function of the ocular surface and forming the first defense barrier of the ocular immune system. Irregularities in the glycoproteomic composition of the tear film might promote development of chronic eye diseases indicating glycoproteins as valuable source for biomarker discovery or drug target identification. The present study aimed to develop a lectin-based affinity method for the enrichment and concentration of tear glycoproteins/glycopeptides and the characterization of their specific N-glycosylation sites by high-resolution mass spectrometry (MS). For method development and evaluation, we accumulated first native glycoproteins from human tear sample pools and assessed the enrichment efficiency of different lectin column systems by 1D gel electrophoresis and specific protein stainings (Coomassie and glycoproteins). The best-performing multi-lectin column system (comprising the four lectins ConA, JAC, WGA and UEA I, termed as 4L) was applied for glycopeptide enrichment from human tear sample digests followed by MS-based detection and localization of their specific N-glycosylation sites. As main result, the present study identified in total 26 N glycosylation sites of 11 N-glycoproteins in tear sample pools of healthy individuals (n=3 biological sample pools). Amongst others, we identified tear film proteins lactotransferrin (N497 and N642, LTF), Ig heavy chain constant α-1 (N144 and 340, IGHA1), prolactin-inducible protein (N105, PIP) as well as extracellular lacritin (N105, LACRT) as highly reliable and significant N glycoproteins, which were already associated with the pathogenesis of various chronic eye diseases such as the dry eye syndrome (DES). In conclusion, the results of the present study will serve as important tear film N-glycoprotein catalogue for future studies focusing the human tear film and ocular surface-related inflammatory diseases.

Project description:Background: Colorectal cancer (CRC) is one of the major causes of cancer-related death worldwide. Although commercial biomarkers of CRC are currently available, they are still lacking in terms of sensitivity and specificity; thus, searching for reliable blood-based biomarkers are important for the primary screening of CRC. Methods: Plasma samples of patients with non-metastatic (NM) and metastatic (M) CRC and healthy controls were fractionated using MARS-14 immunoaffinity chromatography. The flow-through and elute fractions representing low- and high-abundant proteins, respectively, were analyzed by label-free quantitative proteomics mass spectrometry. The functional analysis of the proteins with greater than 1.5-fold differential expression level between the CRC and the healthy control groups were analyzed for their biological processes and molecular functions. In addition, the levels of plasma proteins showing large alterations in CRC patients were confirmed by immunoblotting using two independent cohorts. Moreover, receiver operating characteristic (ROC) curve analysis was performed for individual and combinations of biomarker candidates so as to evaluate the diagnostic performance of biomarker candidates. Results: From 163 refined identifications, five proteins were up-regulated and two proteins were down-regulated in NM-CRC while eight proteins were up-regulated and three proteins were down-regulated in M-CRC, respectively. Altered plasma proteins in NM-CRC were mainly involved in complement activation, while those in M-CRC were clustered in acute-phase response, complement activation, and inflammatory response. Results from the study- and validation-cohorts indicate that the levels of LRG, C9, AGP1, and A1AT were statistically increased, while FN level was statistically decreased in CRC patients compared to healthy controls, with most alterations found in a metastatic stage-dependent manner. ROC analysis revealed that FN exhibited the best diagnostic performance to discriminate CRC patients and healthy controls while AGP1 showed the best discrimination between the disease stages in both cohorts. The combined biomarker candidates, FN+A1AT+AGP1, exhibited perfect discriminatory power to discriminate between the CRC population and healthy controls whereas LRG+A1AT+AGP1 was likely to be the best panel to discriminate the metastatic stages in both cohorts. Conclusions: This study identified and quantified distinct plasma proteome profiles of CRC patients. Selected CRC biomarker candidates including FN, LRG, C9, A1AT, and AGP1 may be further applied for screening larger cohorts.

Dataset Information

Cell surface glycoproteome liver and lung

Publications

Identification of six cell surface proteins for specific liver targeting.

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