Literature DB >> 15540898

Gene expression profiling of human erythroid progenitors by micro-serial analysis of gene expression.

Naohito Fujishima1, Makoto Hirokawa, Namiko Aiba, Yoshikazu Ichikawa, Masumi Fujishima, Atsushi Komatsuda, Yoshiko Suzuki, Yoshinari Kawabata, Ikuo Miura, Ken-ichi Sawada.   

Abstract

We compared the expression profiles of highly purified human CD34+ cells and erythroid progenitor cells by micro-serial analysis of gene expression (microSAGE). Human CD34+ cells were purified from granulocyte colony-stimulating factor-mobilized blood stem cells, and erythroid progenitors were obtained by cultivating these cells in the presence of stem cell factor, interleukin 3, and erythropoietin. Our 10,202 SAGE tags allowed us to identify 1354 different transcripts appearing more than once. Erythroid progenitor cells showed increased expression of LRBA, EEF1A1, HSPCA, PILRB, RANBP1, NACA, and SMURF. Overexpression of HSPCA was confirmed by real-time polymerase chain reaction analysis. MicroSAGE revealed an unexpected preferential expression of several genes in erythroid progenitor cells in addition to the known functional genes, including hemoglobins. Our results provide reference data for future studies of gene expression in various hematopoietic disorders, including myelodysplastic syndrome and leukemia.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15540898     DOI: 10.1532/ijh97.04053

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  22 in total

1.  The pattern of gene expression in human CD15+ myeloid progenitor cells.

Authors:  S Lee; G Zhou; T Clark; J Chen; J D Rowley; S M Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

2.  The pattern of gene expression in human CD34(+) stem/progenitor cells.

Authors:  G Zhou; J Chen; S Lee; T Clark; J D Rowley; S M Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-20       Impact factor: 11.205

Review 3.  Perspective: how to make microarray, serial analysis of gene expression, and proteomic relevant to day-to-day endocrine problems and physiological systems.

Authors:  Denis Soulet; Serge Rivest
Journal:  Endocrinology       Date:  2002-06       Impact factor: 4.736

4.  Integration of proteomics and genomics in platelets: a profile of platelet proteins and platelet-specific genes.

Authors:  J P McRedmond; S D Park; D F Reilly; J A Coppinger; P B Maguire; D C Shields; D J Fitzgerald
Journal:  Mol Cell Proteomics       Date:  2003-11-25       Impact factor: 5.911

5.  Gene expression profile in human leukocytes.

Authors:  Shin-ichi Hashimoto; Shigenori Nagai; Jun Sese; Takuji Suzuki; Aya Obata; Taku Sato; Nobuaki Toyoda; Hong-Yan Dong; Makoto Kurachi; Tomoyuki Nagahata; Ken-ichi Shizuno; Shinichi Morishita; Kouji Matsushima
Journal:  Blood       Date:  2003-01-09       Impact factor: 22.113

6.  MicroSAGE: a modified procedure for serial analysis of gene expression in limited amounts of tissue.

Authors:  N A Datson; J van der Perk-de Jong; M P van den Berg; E R de Kloet; E Vreugdenhil
Journal:  Nucleic Acids Res       Date:  1999-03-01       Impact factor: 16.971

7.  Activation of mouse genes in transformed cells.

Authors:  M R Scott; K H Westphal; P W Rigby
Journal:  Cell       Date:  1983-09       Impact factor: 41.582

8.  Gene expression in proliferating human erythroid cells.

Authors:  A N Gubin; J M Njoroge; G G Bouffard; J L Miller
Journal:  Genomics       Date:  1999-07-15       Impact factor: 5.736

9.  Induction of 73-kDa and 90-kDa heat shock protein expression in HL60 cells during differentiation.

Authors:  M Lee; M Hirokawa; A Kitabayashi; A B Miura; H Itoh; Y Tashima
Journal:  Tohoku J Exp Med       Date:  1995-08       Impact factor: 1.848

10.  Monitoring the expression profiles of doxorubicin-resistant K562 human leukemia cells by serial analysis of gene expression.

Authors:  Yoshikazu Ichikawa; Makoto Hirokawa; Namiko Aiba; Naohito Fujishima; Atsushi Komatsuda; Hirobumi Saitoh; Masaaki Kume; Ikuo Miura; Ken-ichi Sawada
Journal:  Int J Hematol       Date:  2004-04       Impact factor: 2.490

View more
  5 in total

1.  Global transcriptome analyses of human and murine terminal erythroid differentiation.

Authors:  Xiuli An; Vincent P Schulz; Jie Li; Kunlu Wu; Jing Liu; Fumin Xue; Jingping Hu; Narla Mohandas; Patrick G Gallagher
Journal:  Blood       Date:  2014-03-17       Impact factor: 22.113

2.  JAK-STAT and AKT pathway-coupled genes in erythroid progenitor cells through ontogeny.

Authors:  Vladan P Cokic; Bhaskar Bhattacharya; Bojana B Beleslin-Cokic; Constance T Noguchi; Raj K Puri; Alan N Schechter
Journal:  J Transl Med       Date:  2012-06-07       Impact factor: 5.531

3.  Strap associates with Csde1 and affects expression of select Csde1-bound transcripts.

Authors:  Kat S Moore; Nurcan Yagci; Floris van Alphen; Alexander B Meijer; Peter A C 't Hoen; Marieke von Lindern
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

4.  Globin gene expression in correlation with G protein-related genes during erythroid differentiation.

Authors:  Vladan P Čokić; Reginald D Smith; Angélique Biancotto; Constance T Noguchi; Raj K Puri; Alan N Schechter
Journal:  BMC Genomics       Date:  2013-02-20       Impact factor: 3.969

5.  Ribosome profiling uncovers selective mRNA translation associated with eIF2 phosphorylation in erythroid progenitors.

Authors:  Nahuel A Paolini; Kat S Moore; Franca M di Summa; Ivo F A C Fokkema; Peter A C 't Hoen; Marieke von Lindern
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.