Literature DB >> 26159733

Robust hematopoietic progenitor cell commitment in the presence of a conflicting cue.

Najaf A Shah1, Marshall J Levesque2, Arjun Raj2, Casim A Sarkar3.   

Abstract

Hematopoietic lineage commitment is regulated by cytokines and master transcription factors, but it remains unclear how a progenitor cell chooses a lineage in the face of conflicting cues. Through transcript counting in megakaryocyte-erythroid progenitors undergoing erythropoiesis, we show that the expression levels of the pro-erythropoiesis transcription factor EKLF (also known as KLF1) and receptor EpoR are inversely correlated with their pro-megakaryopoiesis counterparts, FLI-1 and TpoR (also known as MPL). Notably, as progenitors commit to the erythrocyte lineage, EpoR is upregulated and TpoR is strongly downregulated, thus boosting the potency of the pro-erythropoiesis cue erythropoietin and effectively eliminating the activity of the pro-megakaryopoiesis cue thrombopoietin. Based on these findings, we propose a new model for exclusive decision making that explicitly incorporates signals from extrinsic cues, and we experimentally confirm a model prediction of temporal changes in transcript noise levels in committing progenitors. Our study suggests that lineage-specific receptor levels can modulate potencies of cues to achieve robust commitment decisions.
© 2015. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Conflicting cue; Hematopoiesis; Lineage commitment

Mesh:

Substances:

Year:  2015        PMID: 26159733      PMCID: PMC4541040          DOI: 10.1242/jcs.158436

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


  29 in total

1.  Regulation of the megakaryocytic glycoprotein IX promoter by the oncogenic Ets transcription factor Fli-1.

Authors:  L S Bastian; B A Kwiatkowski; J Breininger; S Danner; G Roth
Journal:  Blood       Date:  1999-04-15       Impact factor: 22.113

2.  Reprogramming cell fates: reconciling rarity with robustness.

Authors:  Sui Huang
Journal:  Bioessays       Date:  2009-05       Impact factor: 4.345

3.  Hematopoietic cytokines can instruct lineage choice.

Authors:  Michael A Rieger; Philipp S Hoppe; Benjamin M Smejkal; Andrea C Eitelhuber; Timm Schroeder
Journal:  Science       Date:  2009-07-10       Impact factor: 47.728

4.  In vitro development of erythroid and megakaryocytic cells from a UT-7 subline, UT-7/GM.

Authors:  N Komatsu; K Kirito; R Shimizu; M Kunitama; M Yamada; M Uchida; M Takatoku; M Eguchi; Y Miura
Journal:  Blood       Date:  1997-06-01       Impact factor: 22.113

5.  Lethal beta-thalassaemia in mice lacking the erythroid CACCC-transcription factor EKLF.

Authors:  A C Perkins; A H Sharpe; S H Orkin
Journal:  Nature       Date:  1995-05-25       Impact factor: 49.962

6.  Positive receptor feedback during lineage commitment can generate ultrasensitivity to ligand and confer robustness to a bistable switch.

Authors:  Santhosh Palani; Casim A Sarkar
Journal:  Biophys J       Date:  2008-05-09       Impact factor: 4.033

7.  Sumoylation of EKLF promotes transcriptional repression and is involved in inhibition of megakaryopoiesis.

Authors:  Miroslawa Siatecka; Li Xue; James J Bieker
Journal:  Mol Cell Biol       Date:  2007-10-15       Impact factor: 4.272

8.  Bifurcation dynamics in lineage-commitment in bipotent progenitor cells.

Authors:  Sui Huang; Yan-Ping Guo; Gillian May; Tariq Enver
Journal:  Dev Biol       Date:  2007-03-03       Impact factor: 3.582

9.  Imaging individual mRNA molecules using multiple singly labeled probes.

Authors:  Arjun Raj; Patrick van den Bogaard; Scott A Rifkin; Alexander van Oudenaarden; Sanjay Tyagi
Journal:  Nat Methods       Date:  2008-09-21       Impact factor: 28.547

10.  Regulatory activity revealed by dynamic correlations in gene expression noise.

Authors:  Mary J Dunlop; Robert Sidney Cox; Joseph H Levine; Richard M Murray; Michael B Elowitz
Journal:  Nat Genet       Date:  2008-12       Impact factor: 38.330

View more
  2 in total

Review 1.  Towards a Quantitative Understanding of Cell Identity.

Authors:  Zi Ye; Casim A Sarkar
Journal:  Trends Cell Biol       Date:  2018-10-08       Impact factor: 20.808

2.  Trajectory-based energy landscapes of gene regulatory networks.

Authors:  Harish Venkatachalapathy; Samira M Azarin; Casim A Sarkar
Journal:  Biophys J       Date:  2021-01-14       Impact factor: 4.033

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.