Literature DB >> 12522010

Gene expression profile in human leukocytes.

Shin-ichi Hashimoto1, 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.   

Abstract

Leukocytes are classified as myelocytic or lymphocytic, and each class of leukocytes consists of several types of cells that have different phenotypes and different roles. To define the gene expression in these cells, we have performed serial analysis of gene expression (SAGE) using human leukocytes and have provided the gene database for these cells not only at the resting stage but also at the activated stage. A total of 709,990 tags from 17 libraries were analyzed for the manifestation of gene expression profiles in various types of human leukocytes. Types of leukocytes analyzed were as follows: peripheral blood monocytes, colony-stimulating factor-induced macrophages, monocyte-derived immature dendritic cells, mature/activated dendritic cells, granulocytes, natural killer (NK) cells, resting B cells, activated B cells, naive T cells, CCR4(-) memory T cells (resting T(H)1 cells), CCR4(+) memory T cells (resting T(H)2 cells), activated T(H)1 cells, and activated T(H)2 cells. Among 38,961 distinct tags that appeared more than once in the combined total libraries, 27,323 tags were found to represent unique genes in certain type(s) of leukocytes. Using probability (P) and hierarchical clustering analysis, we identified the genes selectively expressed in each type of leukocytes. Identification of the genes specifically expressed in different types of leukocytes provides not only a novel molecular signature to define different subsets of resting and activated cells but also contributes to further understanding of the biologic function of leukocytes in the host defense system.

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Year:  2003        PMID: 12522010     DOI: 10.1182/blood-2002-06-1866

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


  17 in total

1.  Memory T cells have gene expression patterns intermediate between naive and effector.

Authors:  Susan Holmes; Michael He; Tong Xu; Peter P Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-04       Impact factor: 11.205

2.  SAGE analysis demonstrates increased expression of TOSO contributing to Fas-mediated resistance in CLL.

Authors:  Rodrigo Proto-Siqueira; Rodrigo A Panepucci; Francisco P Careta; Abigail Lee; Andrew Clear; Kelly Morris; Carolyn Owen; Edgar G Rizzatti; Wilson A Silva; Roberto P Falcão; Marco A Zago; John G Gribben
Journal:  Blood       Date:  2008-04-23       Impact factor: 22.113

3.  Passing the anaerobic threshold is associated with substantial changes in the gene expression profile in white blood cells.

Authors:  Dmitry A Sakharov; Diana V Maltseva; Evgeniy A Riabenko; Maxim U Shkurnikov; Hinnak Northoff; Alexander G Tonevitsky; Anatoly I Grigoriev
Journal:  Eur J Appl Physiol       Date:  2011-06-30       Impact factor: 3.078

4.  Global gene expression reveals a set of new genes involved in the modification of cells during erythroid differentiation.

Authors:  A F da Cunha; A F Brugnerotto; A S Duarte; C Lanaro; G G L Costa; S T O Saad; F F Costa
Journal:  Cell Prolif       Date:  2010-06       Impact factor: 6.831

5.  The gene expression patterns of peripheral blood mononuclear cells in patients with systemic lupus erythematosus.

Authors:  Shouxin Li; Wei Jiang; Rui Huang; Xiaohui Wang; Wen Liu; Shouyin Shen
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2007-08

6.  Variability of gene expression profiles in human blood and lymphoblastoid cell lines.

Authors:  Josine L Min; Amy Barrett; Tim Watts; Fredrik H Pettersson; Helen E Lockstone; Cecilia M Lindgren; Jennifer M Taylor; Maxine Allen; Krina T Zondervan; Mark I McCarthy
Journal:  BMC Genomics       Date:  2010-02-08       Impact factor: 3.969

7.  Gene expression patterns in CD4+ peripheral blood cells in healthy subjects and stage IV melanoma patients.

Authors:  Sara J Felts; Virginia P Van Keulen; Adam D Scheid; Kathleen S Allen; Renee K Bradshaw; Jin Jen; Tobias Peikert; Sumit Middha; Yuji Zhang; Matthew S Block; Svetomir N Markovic; Larry R Pease
Journal:  Cancer Immunol Immunother       Date:  2015-08-06       Impact factor: 6.968

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

Authors:  Naohito Fujishima; Makoto Hirokawa; Namiko Aiba; Yoshikazu Ichikawa; Masumi Fujishima; Atsushi Komatsuda; Yoshiko Suzuki; Yoshinari Kawabata; Ikuo Miura; Ken-ichi Sawada
Journal:  Int J Hematol       Date:  2004-10       Impact factor: 2.490

9.  The arthritis severity locus Cia5a regulates the expression of inflammatory mediators including Syk pathway genes and proteases in pristane-induced arthritis.

Authors:  Max Brenner; Pércio S Gulko
Journal:  BMC Genomics       Date:  2012-12-19       Impact factor: 3.969

10.  High-resolution analysis of the 5'-end transcriptome using a next generation DNA sequencer.

Authors:  Shin-ichi Hashimoto; Wei Qu; Budrul Ahsan; Katsumi Ogoshi; Atsushi Sasaki; Yoichiro Nakatani; Yongjun Lee; Masako Ogawa; Akio Ametani; Yutaka Suzuki; Sumio Sugano; Clarence C Lee; Robert C Nutter; Shinichi Morishita; Kouji Matsushima
Journal:  PLoS One       Date:  2009-01-01       Impact factor: 3.240

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