Literature DB >> 8586417

Monitoring cell physiology by expression profiles and discovering cell type-specific genes by compiled expression profiles.

K Okubo1, K Itoh, A Fukushima, J Yoshii, K Matsubara.   

Abstract

A gene expression profile is the list showing the expressed gene species and the abundance of their transcripts in a given cell or tissue. This list is made by constructing 3'-directed cDNA libraries consisting of only the 3'-termini of mRNA and sequencing randomly selected clones from such libraries: genes are identified by the sequences, and the composition of mRNA, which reflects gene activities, is measured from the frequency of appearance of the gene transcripts. For practical reasons, the number of sequenced clones has been limited to approximately 1000 per library at present, but the resulting profile covers almost all highly or moderately expressed genes, along with many less active genes. We constructed expression profiles from the HL60 human promyelocytic cell line and two of its derivatives, granulocytoids induced by DMSO and monocytoids induced by TPA. In HL60, a significant fraction of the abundantly expressed genes was for protein synthesis. Upon induction, these genes were partially or totally silenced; transcripts for proteins that characterize the granulocytes and monocyte-macrophages became abundant. By compiling and comparing different expression profiles, genes can be categorized into those expressed in diverse cell types and those active only in limited cell types. Although at present, the number of expression profiles that can be compiled is limited and this categorization is applicable only to abundantly expressed genes, 13 novel genes that may represent granulocyte- or monocyte-specific functions have been discovered.

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Year:  1995        PMID: 8586417     DOI: 10.1006/geno.1995.9887

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  10 in total

Review 1.  Methods for transcriptional profiling in plants. Be fruitful and replicate.

Authors:  Blake C Meyers; David W Galbraith; Timothy Nelson; Vikas Agrawal
Journal:  Plant Physiol       Date:  2004-06-01       Impact factor: 8.340

2.  A method for analyzing the qualitative and quantitative aspects of gene expression: a transcriptional profile revealed for HeLa cells.

Authors:  A Ryo; N Kondoh; T Wakatsuki; A Hada; N Yamamoto; M Yamamoto
Journal:  Nucleic Acids Res       Date:  1998-06-01       Impact factor: 16.971

3.  Osteonectin (SPARC) expression in human liver and in cultured human liver myofibroblasts.

Authors:  S Blazejewski; B Le Bail; L Boussarie; J F Blanc; L Malaval; K Okubo; J Saric; P Bioulac-Sage; J Rosenbaum
Journal:  Am J Pathol       Date:  1997-09       Impact factor: 4.307

4.  Quantitative gene expression profiles in real time from expressed sequence tag databases.

Authors:  Vincent A Funari; Konstantin Voevodski; Dimitry Leyfer; Laura Yerkes; Donald Cramer; Dean R Tolan
Journal:  Gene Expr       Date:  2010

5.  Gene expression in HL60 granulocytoids and human polymorphonuclear leukocytes exposed to Candida albicans.

Authors:  Alaka Mullick; Miria Elias; Penelope Harakidas; Anne Marcil; Malcolm Whiteway; Bing Ge; Thomas J Hudson; Antoine W Caron; Lucie Bourget; Serge Picard; Orce Jovcevski; Bernard Massie; David Y Thomas
Journal:  Infect Immun       Date:  2004-01       Impact factor: 3.441

Review 6.  A systematic molecular genetic approach to study mammalian germline development.

Authors:  K Abe; M S Ko; G R MacGregor
Journal:  Int J Dev Biol       Date:  1998       Impact factor: 2.203

7.  Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation.

Authors:  Donglin Liu; Joel H Graber
Journal:  BMC Bioinformatics       Date:  2006-02-17       Impact factor: 3.169

8.  Differential gene expression in abdomens of the malaria vector mosquito, Anopheles gambiae, after sugar feeding, blood feeding and Plasmodium berghei infection.

Authors:  Ali N Dana; Maureen E Hillenmeyer; Neil F Lobo; Marcia K Kern; Patricia A Romans; Frank H Collins
Journal:  BMC Genomics       Date:  2006-05-19       Impact factor: 3.969

9.  GC Content Heterogeneity Transition of Conserved Noncoding Sequences Occurred at the Emergence of Vertebrates.

Authors:  Nilmini Hettiarachchi; Naruya Saitou
Journal:  Genome Biol Evol       Date:  2016-12-31       Impact factor: 3.416

10.  New insights into the mechanisms underlying 5-fluorouracil-induced intestinal toxicity based on transcriptomic and metabolomic responses in human intestinal organoids.

Authors:  Daniela Rodrigues; Terezinha de Souza; Luke Coyle; Matteo Di Piazza; Bram Herpers; Sofia Ferreira; Mian Zhang; Johanna Vappiani; Daniel C Sévin; Attila Gabor; Anthony Lynch; Seung-Wook Chung; Julio Saez-Rodriguez; Danyel G J Jennen; Jos C S Kleinjans; Theo M de Kok
Journal:  Arch Toxicol       Date:  2021-06-20       Impact factor: 5.153

  10 in total

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