Literature DB >> 32427596

Single-cell fate decisions of bipotential hematopoietic progenitors.

Marjorie Brand1,2, Edward Morrissey3.   

Abstract

PURPOSE OF REVIEW: In hematopoiesis, rapid cell fate decisions are necessary for timely responses to environmental stimuli resulting in the production of diverse types of blood cells. Early studies have led to a hierarchical, tree-like view of hematopoiesis with hematopoietic stem cells residing at the apex and serially branching out to give rise to bipotential progenitors with increasingly restricted lineage potential. Recent single-cell studies have challenged some aspects of the classical model of hematopoiesis. Here, we review the latest articles on cell fate decision in hematopoietic progenitors, highlighting single-cell studies that have questioned previously established concepts and those that have reaffirmed them. RECENT
FINDINGS: The hierarchical organization of hematopoiesis and the importance of transcription factors have been largely validated at the single-cell level. In contrast, single-cell studies have shown that lineage commitment is progressive rather than switch-like as originally proposed. Furthermore, the reconstruction of cell fate paths suggested the existence of a gradient of hematopoietic progenitors that are in a continuum of changing fate probabilities rather than in a static bipotential state, leading us to reconsider the notion of bipotential progenitors.
SUMMARY: Single-cell transcriptomic and proteomic studies have transformed our view of lineage commitment and offer a drastically different perspective on hematopoiesis.

Entities:  

Mesh:

Year:  2020        PMID: 32427596      PMCID: PMC7325868          DOI: 10.1097/MOH.0000000000000592

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.218


  65 in total

1.  Transcription Factor Stoichiometry Drives Cell Fate: Single-Cell Proteomics to the Rescue.

Authors:  Thomas Graf
Journal:  Cell Stem Cell       Date:  2019-05-02       Impact factor: 24.633

2.  FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data.

Authors:  Josip S Herman; Dominic Grün
Journal:  Nat Methods       Date:  2018-04-09       Impact factor: 28.547

3.  Epigenetic Memory Underlies Cell-Autonomous Heterogeneous Behavior of Hematopoietic Stem Cells.

Authors:  Vionnie W C Yu; Rushdia Z Yusuf; Toshihiko Oki; Juwell Wu; Borja Saez; Xin Wang; Colleen Cook; Ninib Baryawno; Michael J Ziller; Eunjung Lee; Hongcang Gu; Alexander Meissner; Charles P Lin; Peter V Kharchenko; David T Scadden
Journal:  Cell       Date:  2017-02-23       Impact factor: 41.582

4.  Lineage tracing on transcriptional landscapes links state to fate during differentiation.

Authors:  Caleb Weinreb; Alejo Rodriguez-Fraticelli; Fernando D Camargo; Allon M Klein
Journal:  Science       Date:  2020-01-23       Impact factor: 47.728

5.  Distinct routes of lineage development reshape the human blood hierarchy across ontogeny.

Authors:  Faiyaz Notta; Sasan Zandi; Naoya Takayama; Stephanie Dobson; Olga I Gan; Gavin Wilson; Kerstin B Kaufmann; Jessica McLeod; Elisa Laurenti; Cyrille F Dunant; John D McPherson; Lincoln D Stein; Yigal Dror; John E Dick
Journal:  Science       Date:  2015-11-05       Impact factor: 47.728

6.  Lineage regulators direct BMP and Wnt pathways to cell-specific programs during differentiation and regeneration.

Authors:  Eirini Trompouki; Teresa V Bowman; Lee N Lawton; Zi Peng Fan; Dai-Chen Wu; Anthony DiBiase; Corey S Martin; Jennifer N Cech; Anna K Sessa; Jocelyn L Leblanc; Pulin Li; Ellen M Durand; Christian Mosimann; Garrett C Heffner; George Q Daley; Robert F Paulson; Richard A Young; Leonard I Zon
Journal:  Cell       Date:  2011-10-28       Impact factor: 41.582

7.  A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation.

Authors:  Sonia Nestorowa; Fiona K Hamey; Blanca Pijuan Sala; Evangelia Diamanti; Mairi Shepherd; Elisa Laurenti; Nicola K Wilson; David G Kent; Berthold Göttgens
Journal:  Blood       Date:  2016-06-30       Impact factor: 22.113

8.  Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

Authors:  Nicola K Wilson; David G Kent; Florian Buettner; Mona Shehata; Iain C Macaulay; Fernando J Calero-Nieto; Manuel Sánchez Castillo; Caroline A Oedekoven; Evangelia Diamanti; Reiner Schulte; Chris P Ponting; Thierry Voet; Carlos Caldas; John Stingl; Anthony R Green; Fabian J Theis; Berthold Göttgens
Journal:  Cell Stem Cell       Date:  2015-05-21       Impact factor: 24.633

9.  Fundamental limits on dynamic inference from single-cell snapshots.

Authors:  Caleb Weinreb; Samuel Wolock; Betsabeh K Tusi; Merav Socolovsky; Allon M Klein
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-20       Impact factor: 11.205

10.  Decoding human fetal liver haematopoiesis.

Authors:  Dorin-Mirel Popescu; Rachel A Botting; Emily Stephenson; Kile Green; Simone Webb; Laura Jardine; Emily F Calderbank; Krzysztof Polanski; Issac Goh; Mirjana Efremova; Meghan Acres; Daniel Maunder; Peter Vegh; Yorick Gitton; Jong-Eun Park; Roser Vento-Tormo; Zhichao Miao; David Dixon; Rachel Rowell; David McDonald; James Fletcher; Elizabeth Poyner; Gary Reynolds; Michael Mather; Corina Moldovan; Lira Mamanova; Frankie Greig; Matthew D Young; Kerstin B Meyer; Steven Lisgo; Jaume Bacardit; Andrew Fuller; Ben Millar; Barbara Innes; Susan Lindsay; Michael J T Stubbington; Monika S Kowalczyk; Bo Li; Orr Ashenberg; Marcin Tabaka; Danielle Dionne; Timothy L Tickle; Michal Slyper; Orit Rozenblatt-Rosen; Andrew Filby; Peter Carey; Alexandra-Chloé Villani; Anindita Roy; Aviv Regev; Alain Chédotal; Irene Roberts; Berthold Göttgens; Sam Behjati; Elisa Laurenti; Sarah A Teichmann; Muzlifah Haniffa
Journal:  Nature       Date:  2019-10-09       Impact factor: 69.504

View more
  3 in total

Review 1.  Proteomic/transcriptomic analysis of erythropoiesis.

Authors:  Marjorie Brand; Jeffrey A Ranish
Journal:  Curr Opin Hematol       Date:  2021-05-01       Impact factor: 3.284

Review 2.  Current understanding of human megakaryocytic-erythroid progenitors and their fate determinants.

Authors:  Nayoung Kwon; Evrett N Thompson; Madeline Y Mayday; Vanessa Scanlon; Yi-Chien Lu; Diane S Krause
Journal:  Curr Opin Hematol       Date:  2021-01       Impact factor: 3.218

3.  GATA factor-regulated solute carrier ensemble reveals a nucleoside transporter-dependent differentiation mechanism.

Authors:  Nicole M Zwifelhofer; Xiaoli Cai; Ruiqi Liao; Bin Mao; Daniel J Conn; Charu Mehta; Sunduz Keles; Yang Xia; Emery H Bresnick
Journal:  PLoS Genet       Date:  2020-12-28       Impact factor: 5.917

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.