Literature DB >> 24781209

Developmental transcriptome analysis of human erythropoiesis.

Lihong Shi1, Yu-Hsuan Lin2, M C Sierant1, Fan Zhu3, Shuaiying Cui1, Yuanfang Guan3, Maureen A Sartor3, Osamu Tanabe4, Kim-Chew Lim1, James Douglas Engel5.   

Abstract

To globally survey the changes in transcriptional landscape during terminal erythroid differentiation, we performed RNA sequencing (RNA-seq) on primary human CD34(+) cells after ex vivo differentiation from the earliest into the most mature erythroid cell stages. This analysis identified thousands of novel intergenic and intronic transcripts as well as novel alternative transcript isoforms. After rigorous data filtering, 51 (presumptive) novel protein-coding transcripts, 5326 long and 679 small non-coding RNA candidates remained. The analysis also revealed two clear transcriptional trends during terminal erythroid differentiation: first, the complexity of transcript diversity was predominantly achieved by alternative splicing, and second, splicing junctional diversity diminished during erythroid differentiation. Finally, 404 genes that were not known previously to be differentially expressed in erythroid cells were annotated. Analysis of the most extremely differentially expressed transcripts revealed that these gene products were all closely associated with hematopoietic lineage differentiation. Taken together, this study will serve as a comprehensive platform for future in-depth investigation of human erythroid development that, in turn, may reveal new insights into multiple layers of the transcriptional regulatory hierarchy that controls erythropoiesis.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2014        PMID: 24781209      PMCID: PMC4119405          DOI: 10.1093/hmg/ddu167

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  77 in total

1.  Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation.

Authors:  Juan R Alvarez-Dominguez; Wenqian Hu; Bingbing Yuan; Jiahai Shi; Staphany S Park; Austin A Gromatzky; Alexander van Oudenaarden; Harvey F Lodish
Journal:  Blood       Date:  2013-11-07       Impact factor: 22.113

2.  A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.

Authors:  Marc Sultan; Marcel H Schulz; Hugues Richard; Alon Magen; Andreas Klingenhoff; Matthias Scherf; Martin Seifert; Tatjana Borodina; Aleksey Soldatov; Dmitri Parkhomchuk; Dominic Schmidt; Sean O'Keeffe; Stefan Haas; Martin Vingron; Hans Lehrach; Marie-Laure Yaspo
Journal:  Science       Date:  2008-07-03       Impact factor: 47.728

3.  Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses.

Authors:  Moran N Cabili; Cole Trapnell; Loyal Goff; Magdalena Koziol; Barbara Tazon-Vega; Aviv Regev; John L Rinn
Journal:  Genes Dev       Date:  2011-09-02       Impact factor: 11.361

4.  Genome-wide analyses of transcription factor GATA3-mediated gene regulation in distinct T cell types.

Authors:  Gang Wei; Brian J Abraham; Ryoji Yagi; Raja Jothi; Kairong Cui; Suveena Sharma; Leelavati Narlikar; Daniel L Northrup; Qingsong Tang; William E Paul; Jinfang Zhu; Keji Zhao
Journal:  Immunity       Date:  2011-08-26       Impact factor: 31.745

5.  Long noncoding RNA-mediated anti-apoptotic activity in murine erythroid terminal differentiation.

Authors:  Wenqian Hu; Bingbing Yuan; Johan Flygare; Harvey F Lodish
Journal:  Genes Dev       Date:  2011-12-08       Impact factor: 11.361

Review 6.  Long noncoding RNAs: cellular address codes in development and disease.

Authors:  Pedro J Batista; Howard Y Chang
Journal:  Cell       Date:  2013-03-14       Impact factor: 41.582

7.  The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.

Authors:  Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B Brown; Leonard Lipovich; Jose M Gonzalez; Mark Thomas; Carrie A Davis; Ramin Shiekhattar; Thomas R Gingeras; Tim J Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

8.  Gene expression in primate liver during viral hemorrhagic fever.

Authors:  Mahmoud Djavani; Oswald R Crasta; Yan Zhang; Juan Carlos Zapata; Bruno Sobral; Melissa G Lechner; Joseph Bryant; Harry Davis; Maria S Salvato
Journal:  Virol J       Date:  2009-02-12       Impact factor: 4.099

9.  Nuclear RNA sequencing of the mouse erythroid cell transcriptome.

Authors:  Jennifer A Mitchell; Ieuan Clay; David Umlauf; Chih-Yu Chen; Catherine A Moir; Christopher H Eskiw; Stefan Schoenfelder; Lyubomira Chakalova; Takashi Nagano; Peter Fraser
Journal:  PLoS One       Date:  2012-11-29       Impact factor: 3.240

10.  A comprehensive analysis of GATA-1-regulated miRNAs reveals miR-23a to be a positive modulator of erythropoiesis.

Authors:  Yong Zhu; Dongsheng Wang; Fang Wang; Tingting Li; Lei Dong; Huiwen Liu; Yanni Ma; Fengbing Jiang; Haixin Yin; Wenting Yan; Min Luo; Zhong Tang; Guoyuan Zhang; Qiang Wang; Junwu Zhang; Jingguo Zhou; Jia Yu
Journal:  Nucleic Acids Res       Date:  2013-02-17       Impact factor: 16.971

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  29 in total

1.  Algorithms for modeling global and context-specific functional relationship networks.

Authors:  Fan Zhu; Bharat Panwar; Yuanfang Guan
Journal:  Brief Bioinform       Date:  2015-08-06       Impact factor: 11.622

2.  Regulatory network inferred using expression data of small sample size: application and validation in erythroid system.

Authors:  Fan Zhu; Lihong Shi; James Douglas Engel; Yuanfang Guan
Journal:  Bioinformatics       Date:  2015-04-02       Impact factor: 6.937

3.  Compound loss of function of nuclear receptors Tr2 and Tr4 leads to induction of murine embryonic β-type globin genes.

Authors:  Shuaiying Cui; Osamu Tanabe; Michael Sierant; Lihong Shi; Andrew Campbell; Kim-Chew Lim; James Douglas Engel
Journal:  Blood       Date:  2015-01-05       Impact factor: 22.113

4.  The LSD1 inhibitor RN-1 induces fetal hemoglobin synthesis and reduces disease pathology in sickle cell mice.

Authors:  Shuaiying Cui; Kim-Chew Lim; Lihong Shi; Mary Lee; Natee Jearawiriyapaisarn; Greggory Myers; Andrew Campbell; David Harro; Shigeki Iwase; Raymond C Trievel; Angela Rivers; Joseph DeSimone; Donald Lavelle; Yogen Saunthararajah; James Douglas Engel
Journal:  Blood       Date:  2015-06-01       Impact factor: 22.113

Review 5.  Omics Studies in Hemoglobinopathies.

Authors:  Eleni Katsantoni
Journal:  Mol Diagn Ther       Date:  2019-04       Impact factor: 4.074

6.  Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation.

Authors:  Fan Zhu; Lihong Shi; Hongdong Li; Ridvan Eksi; James Douglas Engel; Yuanfang Guan
Journal:  Bioinformatics       Date:  2014-08-12       Impact factor: 6.937

Review 7.  Fetal globin gene repressors as drug targets for molecular therapies to treat the β-globinopathies.

Authors:  Mikiko Suzuki; Masayuki Yamamoto; James Douglas Engel
Journal:  Mol Cell Biol       Date:  2014-07-14       Impact factor: 4.272

8.  E2F and GATA switches turn off WD repeat domain 77 expression in differentiating cells.

Authors:  Min Yu; Ulrica Wang; Zhengxin Wang
Journal:  Biochem J       Date:  2016-06-07       Impact factor: 3.857

9.  14q32 and let-7 microRNAs regulate transcriptional networks in fetal and adult human erythroblasts.

Authors:  Samuel Lessard; Mélissa Beaudoin; Stuart H Orkin; Daniel E Bauer; Guillaume Lettre
Journal:  Hum Mol Genet       Date:  2018-04-15       Impact factor: 6.150

Review 10.  Integrative view on how erythropoietin signaling controls transcription patterns in erythroid cells.

Authors:  Andrea A Perreault; Bryan J Venters
Journal:  Curr Opin Hematol       Date:  2018-05       Impact factor: 3.284

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