Literature DB >> 11468144

Genomic and proteomic analysis of the myeloid differentiation program.

Z Lian1, L Wang, S Yamaga, W Bonds, Y Beazer-Barclay, Y Kluger, M Gerstein, P E Newburger, N Berliner, S M Weissman.   

Abstract

Although the mature neutrophil is one of the better characterized mammalian cell types, the mechanisms of myeloid differentiation are incompletely understood at the molecular level. A mouse promyelocytic cell line (MPRO), derived from murine bone marrow cells and arrested developmentally by a dominant-negative retinoic acid receptor, morphologically differentiates to mature neutrophils in the presence of 10 microM retinoic acid. An extensive catalog was prepared of the gene expression changes that occur during morphologic maturation. To do this, 3'-end differential display, oligonucleotide chip array hybridization, and 2-dimensional protein electrophoresis were used. A large number of genes whose mRNA levels are modulated during differentiation of MPRO cells were identified. The results suggest the involvement of several transcription regulatory factors not previously implicated in this process, but they also emphasize the importance of events other than the production of new transcription factors. Furthermore, gene expression patterns were compared at the level of mRNA and protein, and the correlation between 2 parameters was studied. (Blood. 2001;98:513-524)

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Year:  2001        PMID: 11468144     DOI: 10.1182/blood.v98.3.513

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  28 in total

1.  Relating whole-genome expression data with protein-protein interactions.

Authors:  Ronald Jansen; Dov Greenbaum; Mark Gerstein
Journal:  Genome Res       Date:  2002-01       Impact factor: 9.043

2.  Lineage specificity of gene expression patterns.

Authors:  Yuval Kluger; David P Tuck; Joseph T Chang; Yasuhiro Nakayama; Ranjana Poddar; Naohiko Kohya; Zheng Lian; Abdelhakim Ben Nasr; H Ruth Halaban; Diane S Krause; Xueqing Zhang; Peter E Newburger; Sherman M Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

3.  Defining the roles of human carcinoembryonic antigen-related cellular adhesion molecules during neutrophil responses to Neisseria gonorrhoeae.

Authors:  Helen Sarantis; Scott D Gray-Owen
Journal:  Infect Immun       Date:  2011-11-07       Impact factor: 3.441

4.  Quantitative Proteomics Analysis of Sporadic Medullary Thyroid Cancer Reveals FN1 as a Potential Novel Candidate Prognostic Biomarker.

Authors:  Shaohua Zhan; Jinming Li; Tianxiao Wang; Wei Ge
Journal:  Oncologist       Date:  2018-05-08

5.  Proteomics in mixtures: Study results of ABRF-PRG02.

Authors:  D P Arnott; M Gawinowicz; R A Grant; W S Lane; L C Packman; K Speicher; Kathy Stone
Journal:  J Biomol Tech       Date:  2002-09

Review 6.  Proteomics: applications in transfusion medicine.

Authors:  Giancarlo Maria Liumbruno
Journal:  Blood Transfus       Date:  2008-04       Impact factor: 3.443

Review 7.  Technical note: proteomic approaches to fundamental questions about neutrophil biology.

Authors:  Kenneth R McLeish; Michael L Merchant; Jon B Klein; Richard A Ward
Journal:  J Leukoc Biol       Date:  2013-03-07       Impact factor: 4.962

8.  Cytokine secretion profiling of human mesenchymal stem cells by antibody array.

Authors:  Chae Woon Park; Keun-Soo Kim; Sohyun Bae; Hye Kyeong Son; Pyung-Keun Myung; Hyo Jeong Hong; Hoeon Kim
Journal:  Int J Stem Cells       Date:  2009-05       Impact factor: 2.500

9.  Effects of human bone marrow stromal cell line (HFCL) on the proliferation, differentiation and apoptosis of acute myeloid leukemia cell lines U937, HL-60 and HL-60/VCR.

Authors:  Rong Liang; Gao-Sheng Huang; Zhe Wang; Xie-Qun Chen; Qin-Xian Bai; Yong-Qing Zhang; Bao-Xia Dong; Wen-Qing Wang
Journal:  Int J Hematol       Date:  2008-02-21       Impact factor: 2.490

10.  Estimating accuracy of RNA-Seq and microarrays with proteomics.

Authors:  Xing Fu; Ning Fu; Song Guo; Zheng Yan; Ying Xu; Hao Hu; Corinna Menzel; Wei Chen; Yixue Li; Rong Zeng; Philipp Khaitovich
Journal:  BMC Genomics       Date:  2009-04-16       Impact factor: 3.969

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