Literature DB >> 18654985

Quantitative membrane proteomics applying narrow range peptide isoelectric focusing for studies of small cell lung cancer resistance mechanisms.

Hanna Eriksson1, Johan Lengqvist, Joel Hedlund, Kristina Uhlén, Lukas M Orre, Bengt Bjellqvist, Bengt Persson, Janne Lehtiö, Per-Johan Jakobsson.   

Abstract

Drug resistance is often associated with upregulation of membrane-associated drug-efflux systems, and thus global membrane proteomics methods are valuable tools in the search for novel components of drug resistance phenotypes. Herein we have compared the microsomal proteome from the lung cancer cell line H69 and its isogenic Doxorubicin-resistant subcell line H69AR. The method used includes microsome preparation, iTRAQ labeling followed by narrow range peptide IEF in an immobilized pH-gradient (IPG-IEF) and LC-MS/MS analysis. We demonstrate that the microsomal preparation and iTRAQ labeling is reproducible regarding protein content and composition. The rationale using narrow range peptide IPG-IEF separation is demonstrated by its ability to: (i) lowering the complexity of the sample by two-thirds while keeping high proteome coverage (96%), (ii) providing high separation efficiency, and (iii) allowing for peptide validation and possibly identifications of post-transcriptional modifications. After analyzing one-fifth of the IEF fractions (effective pH range of 4.0-4.5), a total of 3704 proteins were identified, among which 527 were predicted to be membrane proteins. One of the proteins found to be differentially expressed was Serca 2, a calcium pump located in the ER membrane that potentially could result in changes of apoptotic response toward Doxorubicin.

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Year:  2008        PMID: 18654985     DOI: 10.1002/pmic.200800174

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  23 in total

1.  Isobaric labeling and data normalization without requiring protein quantitation.

Authors:  Phillip D Kim; Bhavinkumar B Patel; Anthony T Yeung
Journal:  J Biomol Tech       Date:  2012-04

Review 2.  The grand challenge to decipher the cancer proteome.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Nat Rev Cancer       Date:  2010-09       Impact factor: 60.716

3.  Enhanced information output from shotgun proteomics data by protein quantification and peptide quality control (PQPQ).

Authors:  Jenny Forshed; Henrik J Johansson; Maria Pernemalm; Rui M M Branca; Annsofi Sandberg; Janne Lehtiö
Journal:  Mol Cell Proteomics       Date:  2011-07-06       Impact factor: 5.911

4.  Defining, comparing, and improving iTRAQ quantification in mass spectrometry proteomics data.

Authors:  Lina Hultin-Rosenberg; Jenny Forshed; Rui M M Branca; Janne Lehtiö; Henrik J Johansson
Journal:  Mol Cell Proteomics       Date:  2013-03-07       Impact factor: 5.911

5.  SpliceVista, a tool for splice variant identification and visualization in shotgun proteomics data.

Authors:  Yafeng Zhu; Lina Hultin-Rosenberg; Jenny Forshed; Rui M M Branca; Lukas M Orre; Janne Lehtiö
Journal:  Mol Cell Proteomics       Date:  2014-04-01       Impact factor: 5.911

6.  Quantitative tissue proteomics of esophageal squamous cell carcinoma for novel biomarker discovery.

Authors:  Harsh Pawar; Manoj Kumar Kashyap; Nandini A Sahasrabuddhe; Santosh Renuse; H C Harsha; Praveen Kumar; Jyoti Sharma; Kumaran Kandasamy; Arivusudar Marimuthu; Bipin Nair; Sudha Rajagopalan; Jagadeesha Maharudraiah; Chennagiri Shrinivasamurthy Premalatha; Kariyanakatte Veeraiah Veerendra Kumar; M Vijayakumar; Raghothama Chaerkady; Thotterthodi Subrahmanya Keshava Prasad; Rekha V Kumar; Rekha V Kumar; Akhilesh Pandey
Journal:  Cancer Biol Ther       Date:  2011-09-15       Impact factor: 4.742

7.  Immunodepletion plasma proteomics by tripleTOF 5600 and Orbitrap elite/LTQ-Orbitrap Velos/Q exactive mass spectrometers.

Authors:  Kelly A Jones; Phillip D Kim; Bhavinkumar B Patel; Steven G Kelsen; Alan Braverman; Derrick J Swinton; Philip R Gafken; Lisa A Jones; William S Lane; John M Neveu; Hon-Chiu E Leung; Scott A Shaffer; John D Leszyk; Bruce A Stanley; Todd E Fox; Anne Stanley; Michael J Hall; Heather Hampel; Christopher D South; Albert de la Chapelle; Randall W Burt; David A Jones; Levy Kopelovich; Anthony T Yeung
Journal:  J Proteome Res       Date:  2013-09-19       Impact factor: 4.466

8.  A novel method for sample preparation of fresh lung cancer tissue for proteomics analysis by tumor cell enrichment and removal of blood contaminants.

Authors:  Luigi De Petris; Maria Pernemalm; Göran Elmberger; Per Bergman; Lotta Orre; Rolf Lewensohn; Janne Lehtiö
Journal:  Proteome Sci       Date:  2010-02-26       Impact factor: 2.480

9.  Discovery of new membrane-associated proteins overexpressed in small-cell lung cancer.

Authors:  Sebahat Ocak; David B Friedman; Heidi Chen; Jamie A Ausborn; Mohamed Hassanein; Bruno Detry; Birgit Weynand; Frank Aboubakar; Charles Pilette; Yves Sibille; Pierre P Massion
Journal:  J Thorac Oncol       Date:  2014-03       Impact factor: 15.609

10.  Assessment of two immunodepletion methods: off-target effects and variations in immunodepletion efficiency may confound plasma proteomics.

Authors:  Bhavinkumar B Patel; Carlos A Barrero; Alan Braverman; Phillip D Kim; Kelly A Jones; Dian Er Chen; Russell P Bowler; Salim Merali; Steven G Kelsen; Anthony T Yeung
Journal:  J Proteome Res       Date:  2012-10-29       Impact factor: 4.466

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