Literature DB >> 18494517

Highly efficient depletion strategy for the two most abundant erythrocyte soluble proteins improves proteome coverage dramatically.

Jeffrey H Ringrose1, Wouter W van Solinge, Shabaz Mohammed, Martina C O'Flaherty, Richard van Wijk, Albert J R Heck, Monique Slijper.   

Abstract

In-depth human erythrocyte proteome studies are severely hampered by the presence of hemoglobin and carbonic anhydrase-1, which account for more than 98% of the total erythrocyte soluble protein content. We developed a specific depletion approach that resulted in a drastic increase in the number of identified proteins. This depletion technique is valuable for proteome studies of human erythrocyte disorders with unknown etiology and of tissue samples that contain blood.

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Year:  2008        PMID: 18494517     DOI: 10.1021/pr8001029

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  25 in total

1.  Depletion of hemoglobin and carbonic anhydrase from erythrocyte cytosolic samples by preparative clear native electrophoresis.

Authors:  Gian Maria D'Amici; Sara Rinalducci; Lello Zolla
Journal:  Nat Protoc       Date:  2011-12-08       Impact factor: 13.491

Review 2.  Proteomic and metabolomic profiles in atherothrombotic vascular disease.

Authors:  Roxana Martinez-Pinna; Coral Barbas; Luis Miguel Blanco-Colio; Jose Tunon; Priscila Ramos-Mozo; Juan Antonio Lopez; Olivier Meilhac; Jean-Baptiste Michel; Jesus Egido; José Luis Martin-Ventura
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

3.  α-Synuclein in central nervous system and from erythrocytes, mammalian cells, and Escherichia coli exists predominantly as disordered monomer.

Authors:  Bruno Fauvet; Martial K Mbefo; Mohamed-Bilal Fares; Carole Desobry; Sarah Michael; Mustafa T Ardah; Elpida Tsika; Philippe Coune; Michel Prudent; Niels Lion; David Eliezer; Darren J Moore; Bernard Schneider; Patrick Aebischer; Omar M El-Agnaf; Eliezer Masliah; Hilal A Lashuel
Journal:  J Biol Chem       Date:  2012-02-07       Impact factor: 5.157

4.  Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).

Authors:  Nicholas W Bateman; Scott P Goulding; Nicholas J Shulman; Avinash K Gadok; Karen K Szumlinski; Michael J MacCoss; Christine C Wu
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

5.  Red blood cell proteomics update: is there more to discover?

Authors:  Angelo D'Alessandro; Monika Dzieciatkowska; Travis Nemkov; Kirk C Hansen
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

6.  Multi-omics Evidence for Inheritance of Energy Pathways in Red Blood Cells.

Authors:  Erin M M Weisenhorn; Thomas J van T Erve; Nicholas M Riley; John R Hess; Thomas J Raife; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2016-10-24       Impact factor: 5.911

7.  Proteomic analysis of menstrual blood.

Authors:  Heyi Yang; Bo Zhou; Mechthild Prinz; Donald Siegel
Journal:  Mol Cell Proteomics       Date:  2012-07-20       Impact factor: 5.911

8.  Depletion of cells and abundant proteins from biological samples by enhanced dielectrophoresis.

Authors:  M Javanmard; S Emaminejad; C Gupta; J Provine; R W Davis; R T Howe
Journal:  Sens Actuators B Chem       Date:  2014-03       Impact factor: 7.460

9.  Hemoglobin depletion from plasma: considerations for proteomic discovery in sickle cell disease and other hemolytic processes.

Authors:  Lisa M Williams; Zongming Fu; Pratima Dulloor; Timothy Yen; Emily Barron-Casella; William Savage; Jennifer E Van Eyk; James F Casella; Allen Everett
Journal:  Proteomics Clin Appl       Date:  2010-12       Impact factor: 3.494

10.  CRISPR/Cas9 knockouts reveal genetic interaction between strain-transcendent erythrocyte determinants of Plasmodium falciparum invasion.

Authors:  Usheer Kanjee; Christof Grüring; Mudit Chaand; Kai-Min Lin; Elizabeth Egan; Jale Manzo; Patrick L Jones; Tiffany Yu; Robert Barker; Michael P Weekes; Manoj T Duraisingh
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-19       Impact factor: 11.205

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