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Articles Related to Proteomics

Microwave and Magnetic (M2 ) Proteomics of Childhood B-ALL

We hypothesized that quantitative tandem mass spectrometry-based proteomics, incorporating rapid microwave and magnetic sample preparation (M2 proteomics), might enable relative protein expression to be correlated to childhood B-precursor acute lymphoblastic leukemia (B-ALL) cytogenetic subtypes, corresponding to low-risk (ETV6-RUNX1) and high-risk (MLL-R) subtypes.
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Proteomics in Diagnosis: Past, Present and Future

In the post genomic era when several proteomes are on the verge of completion, promising field of protein based diagnostic techniques is emerging. Although protein detection have been used for a long time in clinical diagnostic test, yet high throughput proteomics approaches along with systems biology could be a step forward, towards the development of next generation diagnostic tools and pave a way for personalized medicine.
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Editorial Board Members Related to Proteomics

CODY P. COYNE

Professor
Department of Basic Science
Mississippi State University
United States

Julie Teruya-Feldstein

Director
Hematopathology
Immunohistochemistry Laboratory
United States

Abdelaal Shamseldin

Associate Professor
Genetic Engineering and Biotechnology Research Institute
City of Scientific Research and Technology Applications
Egypt

MICHAEL H. A. ROEHRL

Associate Professor
Department of Laboratory Medicine and Pathobiology
University of Toronto
Canada

Bonghee Lee

Professor
Lee Gil Ya Cancer and Diabetes Institute
Gachon University
Korea

Jian Zhu

Assistant Professor
Department of Biochemistry and Biophysics
University of Rochester Medical Center
United States

Eva Mischak-Weissinger

Professor
Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation
Hannover Medical School
Germany

Fa-Yun Che

Associate Professor
Department of Pathology
Albert Einstein College of Medicine
United States

LOUISA B. TABATABAI

Professor
Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology
Iowa State University
United States

Hong-Wen Deng

Professor
Department of Biostatistics and Bioinformatics
Tulane University
United States
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