Literature DB >> 15096607

Lineage specificity of gene expression patterns.

Yuval Kluger1, 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.   

Abstract

The hematopoietic system offers many advantages as a model for understanding general aspects of lineage choice and specification. Using oligonucleotide microarrays, we compared gene expression patterns of multiple purified hematopoietic cell populations, including neutrophils, monocytes, macrophages, resting, centrocytic, and centroblastic B lymphocytes, dendritic cells, and hematopoietic stem cells. Some of these cells were studied under both resting and stimulated conditions. We studied the collective behavior of subsets of genes derived from the Biocarta database of functional pathways, hand-tuned groupings of genes into broad functional categories based on the Gene Ontology database, and the metabolic pathways in the Kyoto Encyclopedia of Genes and Genomes database. Principal component analysis revealed strikingly pervasive differences in relative levels of gene expression among cell lineages that involve most of the subsets examined. These results indicate that many processes in these cells behave differently in different lineages. Much of the variation among lineages was captured by the first few principal components. Principal components biplots were found to provide a convenient visual display of the contributions of the various genes within the subsets in lineage discrimination. Moreover, by applying tree-constructing methodologies borrowed from phylogenetics to the expression data from differentiated cells and stem cells, we reconstructed a tree of relationships that resembled the established hematopoietic program of lineage development. Thus, the mRNA expression data implicitly contained information about developmental relationships among cell types.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15096607      PMCID: PMC404075          DOI: 10.1073/pnas.0401136101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  40 in total

1.  Human chronic myelogenous leukemia cell-line with positive Philadelphia chromosome.

Authors:  C B Lozzio; B B Lozzio
Journal:  Blood       Date:  1975-03       Impact factor: 22.113

2.  Granulocyte-macrophage colony-stimulating factor promotes differentiation and survival of human peripheral blood dendritic cells in vitro.

Authors:  S Markowicz; E G Engleman
Journal:  J Clin Invest       Date:  1990-03       Impact factor: 14.808

3.  Pretreatment of plastic Petri dishes with fetal calf serum. A simple method for macrophage isolation.

Authors:  K Kumagai; K Itoh; S Hinuma; M Tada
Journal:  J Immunol Methods       Date:  1979       Impact factor: 2.303

4.  Mitf expression is sufficient to direct differentiation of medaka blastula derived stem cells to melanocytes.

Authors:  Julia Béjar; Yunhan Hong; Manfred Schartl
Journal:  Development       Date:  2003-12       Impact factor: 6.868

5.  Monocytes and neutrophils oxidize low density lipoprotein making it cytotoxic.

Authors:  M K Cathcart; D W Morel; G M Chisolm
Journal:  J Leukoc Biol       Date:  1985-08       Impact factor: 4.962

6.  Gene expression in mature neutrophils: early responses to inflammatory stimuli.

Authors:  Xueqing Zhang; Yuval Kluger; Yasuhiro Nakayama; Ranjana Poddar; Constance Whitney; Adam DeTora; Sherman M Weissman; Peter E Newburger
Journal:  J Leukoc Biol       Date:  2003-11-21       Impact factor: 4.962

7.  In vivo expression of interleukin-8, and regulated on activation, normal, T-cell expressed, and secreted, by human germinal centre B lymphocytes.

Authors:  Jennifer C Sims-Mourtada; Liliana Guzman-Rojas; Roberto Rangel; Dat X Nghiem; Stephen E Ullrich; Christiane Guret; Kelly Cain; Hector Martinez-Valdez
Journal:  Immunology       Date:  2003-11       Impact factor: 7.397

8.  Presence and expression of human papillomavirus sequences in human cervical carcinoma cell lines.

Authors:  C Yee; I Krishnan-Hewlett; C C Baker; R Schlegel; P M Howley
Journal:  Am J Pathol       Date:  1985-06       Impact factor: 4.307

9.  Characterization of EBV-genome negative "null" and "T" cell lines derived from children with acute lymphoblastic leukemia and leukemic transformed non-Hodgkin lymphoma.

Authors:  U Schneider; H U Schwenk; G Bornkamm
Journal:  Int J Cancer       Date:  1977-05-15       Impact factor: 7.396

10.  Specificity and promiscuity among naturally processed peptides bound to HLA-DR alleles.

Authors:  R M Chicz; R G Urban; J C Gorga; D A Vignali; W S Lane; J L Strominger
Journal:  J Exp Med       Date:  1993-07-01       Impact factor: 14.307

View more
  16 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.  Two types of precursor cells in a multipotential hematopoietic cell line.

Authors:  Zhi-jia Ye; Yuval Kluger; Zheng Lian; Sherman M Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-13       Impact factor: 11.205

3.  Prediction of the clinical outcome in invasive candidiasis patients based on molecular fingerprints of five anti-Candida antibodies in serum.

Authors:  Aida Pitarch; César Nombela; Concha Gil
Journal:  Mol Cell Proteomics       Date:  2010-09-21       Impact factor: 5.911

Review 4.  Role of neutrophils in innate immunity: a systems biology-level approach.

Authors:  Scott D Kobayashi; Frank R DeLeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

Review 5.  Directed stem cell differentiation: the role of physical forces.

Authors:  Kelly C Clause; Li J Liu; Kimimasa Tobita
Journal:  Cell Commun Adhes       Date:  2010-04

6.  Neutrophils in innate immunity and systems biology-level approaches.

Authors:  Viktoria Rungelrath; Scott D Kobayashi; Frank R DeLeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2019-06-20

7.  Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.

Authors:  Michio W Painter; Scott Davis; Richard R Hardy; Diane Mathis; Christophe Benoist
Journal:  J Immunol       Date:  2011-02-09       Impact factor: 5.422

8.  A myelopoiesis-associated regulatory intergenic noncoding RNA transcript within the human HOXA cluster.

Authors:  Xueqing Zhang; Zheng Lian; Carolyn Padden; Mark B Gerstein; Joel Rozowsky; Michael Snyder; Thomas R Gingeras; Philipp Kapranov; Sherman M Weissman; Peter E Newburger
Journal:  Blood       Date:  2009-01-14       Impact factor: 22.113

9.  Differential gene expression of the intermediate and outer interzone layers of developing articular cartilage in murine embryos.

Authors:  Florien Jenner; Arne IJpma; Mairead Cleary; Daphne Heijsman; Roberto Narcisi; Peter J van der Spek; Andreas Kremer; René van Weeren; Pieter Brama; Gerjo J V M van Osch
Journal:  Stem Cells Dev       Date:  2014-06-16       Impact factor: 3.272

Review 10.  Growth factors, matrices, and forces combine and control stem cells.

Authors:  Dennis E Discher; David J Mooney; Peter W Zandstra
Journal:  Science       Date:  2009-06-26       Impact factor: 47.728

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.