Literature DB >> 1515647

Delta-thalassemia caused by disruption of the site for an erythroid-specific transcription factor, GATA-1, in the delta-globin gene promoter.

M Matsuda1, N Sakamoto, Y Fukumaki.   

Abstract

Delta-thalassemia is a complex group of inherited disorders of globin genes characterized by impaired synthesis of the delta-globin chain. The T-C substitution was detected at position -77 of the delta-globin gene isolated from three independent Japanese individuals who were homozygotes for delta-thalassemia. To elucidate the significance of the mutation in delta-globin gene expression, we investigated the genotype of three delta-thalassemia homozygotes and 58 normal individuals using dot blot hybridization of the polymerase chain reaction (PCR)-amplified DNA. The mutation was observed in six alleles of three homozygotes, while no mutation was detected in 116 alleles of normal individuals, thereby indicating the close association of this mutation with the thalassemia phenotype. Since the mutation (TTATCT-TCATCT) is located within the inverted binding motif of GATA-1 (T or A-G-A-T-A-G or A), an erythroid cell-specific transcription factor, we did gel retardation assays using nuclear extracts from the erythroid cells. We found that GATA-1 binds the oligonucleotide spanning positions -61 to -90, but does not bind to the oligonucleotide with the mutation at position -77. Competition gel retardation assays showed that GATA-1 binding can be competed out by the fragment with the GATA-1 motif, but not with the mutant oligonucleotide. Analysis of the transient expression of the CAT gene linked to the delta-globin gene promoter region demonstrated that the construct with the mutant promoter region was expressed about 20-fold less compared with the normal one. Thus, the mutation at position -77 impairs delta-globin gene expression by abolishing GATA-1 binding to the AGATAA sequence of the promoter region of the delta-globin gene. This provides a good example of involvement of tissue-specific transacting factors in the molecular pathogenesis of hereditary diseases.

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Year:  1992        PMID: 1515647

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


  10 in total

1.  Insight into GATA1 transcriptional activity through interrogation of cis elements disrupted in human erythroid disorders.

Authors:  Aoi Wakabayashi; Jacob C Ulirsch; Leif S Ludwig; Claudia Fiorini; Makiko Yasuda; Avik Choudhuri; Patrick McDonel; Leonard I Zon; Vijay G Sankaran
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-04       Impact factor: 11.205

2.  Transcription factor GATA-1 potently represses the expression of the HIV-1 coreceptor CCR5 in human T cells and dendritic cells.

Authors:  Mark S Sundrud; Scott E Vancompernolle; Karla A Eger; Tullia C Bruno; Arun Subramaniam; Srinivas Mummidi; Sunil K Ahuja; Derya Unutmaz
Journal:  Blood       Date:  2005-08-09       Impact factor: 22.113

Review 3.  Association of susceptible genetic markers and autoantibodies in rheumatoid arthritis.

Authors:  Vasanth Konda Mohan; Nalini Ganesan; Rajasekhar Gopalakrishnan
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

4.  Recombinant erythroid Kruppel-like factor fused to GATA1 up-regulates delta- and gamma-globin expression in erythroid cells.

Authors:  Jianqiong Zhu; Kyung Chin; Wulin Aerbajinai; Cecelia Trainor; Peter Gao; Griffin P Rodgers
Journal:  Blood       Date:  2011-01-10       Impact factor: 22.113

5.  Clinical variant interpretation and biologically relevant reference transcripts.

Authors:  Fernando Pozo; José Manuel Rodriguez; Jesús Vázquez; Michael L Tress
Journal:  NPJ Genom Med       Date:  2022-10-18       Impact factor: 6.083

6.  In vivo activation of the human δ-globin gene: the therapeutic potential in β-thalassemic mice.

Authors:  Maria F Manchinu; Maria F Marongiu; Daniela Poddie; Carla Casu; Veronica Latini; Michela Simbula; Renzo Galanello; Paolo Moi; Antonio Cao; Susanna Porcu; Maria S Ristaldi
Journal:  Haematologica       Date:  2013-07-19       Impact factor: 9.941

7.  Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.

Authors:  Soumya Raychaudhuri; Johji Inazawa; Toshimasa Yamauchi; Takashi Kadowaki; Michiaki Kubo; Yoichiro Kamatani; Kazuyoshi Ishigaki; Masato Akiyama; Masahiro Kanai; Atsushi Takahashi; Eiryo Kawakami; Hiroki Sugishita; Saori Sakaue; Nana Matoba; Siew-Kee Low; Yukinori Okada; Chikashi Terao; Tiffany Amariuta; Steven Gazal; Yuta Kochi; Momoko Horikoshi; Ken Suzuki; Kaoru Ito; Satoshi Koyama; Kouichi Ozaki; Shumpei Niida; Yasushi Sakata; Yasuhiko Sakata; Takashi Kohno; Kouya Shiraishi; Yukihide Momozawa; Makoto Hirata; Koichi Matsuda; Masashi Ikeda; Nakao Iwata; Shiro Ikegawa; Ikuyo Kou; Toshihiro Tanaka; Hidewaki Nakagawa; Akari Suzuki; Tomomitsu Hirota; Mayumi Tamari; Kazuaki Chayama; Daiki Miki; Masaki Mori; Satoshi Nagayama; Yataro Daigo; Yoshio Miki; Toyomasa Katagiri; Osamu Ogawa; Wataru Obara; Hidemi Ito; Teruhiko Yoshida; Issei Imoto; Takashi Takahashi; Chizu Tanikawa; Takao Suzuki; Nobuaki Sinozaki; Shiro Minami; Hiroki Yamaguchi; Satoshi Asai; Yasuo Takahashi; Ken Yamaji; Kazuhisa Takahashi; Tomoaki Fujioka; Ryo Takata; Hideki Yanai; Akihide Masumoto; Yukihiro Koretsune; Hiromu Kutsumi; Masahiko Higashiyama; Shigeo Murayama; Naoko Minegishi; Kichiya Suzuki; Kozo Tanno; Atsushi Shimizu; Taiki Yamaji; Motoki Iwasaki; Norie Sawada; Hirokazu Uemura; Keitaro Tanaka; Mariko Naito; Makoto Sasaki; Kenji Wakai; Shoichiro Tsugane; Masayuki Yamamoto; Kazuhiko Yamamoto; Yoshinori Murakami; Yusuke Nakamura
Journal:  Nat Genet       Date:  2020-06-08       Impact factor: 38.330

8.  Distinctive patterns of evolution of the δ-globin gene (HBD) in primates.

Authors:  Ana Moleirinho; Alexandra M Lopes; Susana Seixas; Ramiro Morales-Hojas; Maria J Prata; António Amorim
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

Review 9.  Concise Review: Epigenetic Regulation of Hematopoiesis: Biological Insights and Therapeutic Applications.

Authors:  Chiara Antoniani; Oriana Romano; Annarita Miccio
Journal:  Stem Cells Transl Med       Date:  2017-10-28       Impact factor: 6.940

Review 10.  Integrating ChIP-seq with other functional genomics data.

Authors:  Shan Jiang; Ali Mortazavi
Journal:  Brief Funct Genomics       Date:  2018-03-01       Impact factor: 4.241

  10 in total

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