Homeodomain-interacting protein kinase 2 plays an important role in normal terminal erythroid differentiation

Hattangadi, Shilpa M.; Burke, Karly; Lodish, Harvey F.

doi:10.1182/blood-2009-07-235093

Cited by 46 publications

(53 citation statements)

References 25 publications

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“…The procedure for isolating mouse erythroid progenitor cells was described previously (Zhang et al 2003;Hattangadi et al 2010). …”

Section: Isolation Of Erythroid Progenitors From Primary Mouse Fetal mentioning

confidence: 99%

“…Isolated erythroid progenitors were transduced by MSCV-based retroviruses using the protocols described in Hattangadi et al (2010).…”

Section: Retroviral Transductionmentioning

confidence: 99%

“…+ cells (Zhang et al 2003;Flygare et al 2011); during this transition, hemoglobins and many other erythroid-important genes are induced (Hattangadi et al 2010). This expression pattern strongly suggests that LincRNA-EPS plays an important role during the terminal differentiation of erythroid cells.…”

Section: Expression Pattern Of Lincrna-epsmentioning

confidence: 99%

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

Hu¹,

Yuan²,

Flygare³

et al. 2011

Genes Dev.

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189

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Long noncoding RNAs (lncRNAs) are differentially expressed under both normal and pathological conditions, implying that they may play important biological functions. Here we examined the expression of lncRNAs during erythropoiesis and identified an erythroid-specific lncRNA with anti-apoptotic activity. Inhibition of this lncRNA blocks erythroid differentiation and promotes apoptosis. Conversely, ectopic expression of this lncRNA can inhibit apoptosis in mouse erythroid cells. This lncRNA represses expression of Pycard, a proapoptotic gene, explaining in part the inhibition of programmed cell death. These findings reveal a novel layer of regulation of cell differentiation and apoptosis by a lncRNA.

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“…The procedure for isolating mouse erythroid progenitor cells was described previously (Zhang et al 2003;Hattangadi et al 2010). …”

Section: Isolation Of Erythroid Progenitors From Primary Mouse Fetal mentioning

confidence: 99%

“…Isolated erythroid progenitors were transduced by MSCV-based retroviruses using the protocols described in Hattangadi et al (2010).…”

Section: Retroviral Transductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Hu¹,

Yuan²,

Flygare³

et al. 2011

Genes Dev.

Self Cite

229

189

View full text Add to dashboard Cite

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“…S4). We cross-compared the two human datasets to the three mouse datasets (15,16,(28)(29)(30). All intraspecies comparisons yielded mean Pearson correlations ranging from 0.832 to 0.993, whereas their interspecies equivalent yielded mean Pearson correlations of only 0.637-0.728 (Fig.…”

Section: Global Gene Expression Changes During Erythroid Terminalmentioning

confidence: 99%

“…S3A) (28). We also compared the global expression data from adult murine bone marrow to that from the Gata1-null mouse cell line G1E-ER4, in which Gata1 activity was reactivated with estradiol treatment (29).…”

Section: Global Gene Expression Changes During Erythroid Terminalmentioning

confidence: 99%

Transcriptional divergence and conservation of human and mouse erythropoiesis

Pishesha

Thiru

Shi

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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Significance Mouse models have been instrumental in advancing our understanding of blood cell production. Although many studies have suggested specific differences between human and mouse red cell production (erythropoiesis), a global study of such similarities and differences has been lacking. By computationally comparing global gene expression data from adult human and mouse erythroid precursors representing the distinct stages of maturation, we showed that, while the overall transcriptional landscape has changed, critical erythroid gene signatures and transcriptional regulators have remained conserved. Importantly, these analyses can serve as a tool to integrate data between human and mouse erythropoiesis research, explain why certain human blood diseases are not faithfully recapitulated in mouse models, and highlight hurdles in translating therapeutic findings from mice to humans.

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