Literature DB >> 15958713

Tracking hematopoiesis at the single cell level.

Timm Schroeder1.   

Abstract

Despite intensive research, many longstanding questions of experimental hematology remain unsolved. One major reason is the fact that hematopoiesis is usually followed by analyzing populations of cells rather than individual cells, at few points in time during an experiment and without knowing (or quickly loosing) the cells' individual identities. The static picture yielded by this approach makes it impossible to appreciate the dynamic developmental processes leading to the generation of the full hematopoietic system from individual hematopoietic stem cells (HSCs). Real-time tracking of individual cells in culture, tissues, or whole organisms would be an extremely powerful approach to fully understand the developmental complexity of hematopoiesis. To this end, a computer-aided culture and bioimaging system is being developed to follow the fate of individual cells over long periods of time. This system is used to follow the development of multilineage cobblestone colonies from adult HSCs in stroma cocultures at the single cell level over many generations. To facilitate noninvasive detection of lineage commitment in these cultures, new subcellular forms of optimized fluorescent proteins have been developed to allow simultaneous marking of multiple hematopoietic lineages within the same animal.

Entities:  

Mesh:

Year:  2005        PMID: 15958713     DOI: 10.1196/annals.1349.025

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  14 in total

Review 1.  Asymmetry of stem cell fate and the potential impact of the niche: observations, simulations, and interpretations.

Authors:  Ingo Roeder; Ronny Lorenz
Journal:  Stem Cell Rev       Date:  2006       Impact factor: 5.739

2.  A novel view on stem cell development: analysing the shape of cellular genealogies.

Authors:  I Glauche; R Lorenz; D Hasenclever; I Roeder
Journal:  Cell Prolif       Date:  2009-02-27       Impact factor: 6.831

3.  The electronic crystal ball: predicting cell fate from time-lapse data.

Authors:  Timm Schroeder
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

Review 4.  Long-term single-cell imaging of mammalian stem cells.

Authors:  Timm Schroeder
Journal:  Nat Methods       Date:  2011-03-30       Impact factor: 28.547

Review 5.  Challenges in long-term imaging and quantification of single-cell dynamics.

Authors:  Stavroula Skylaki; Oliver Hilsenbeck; Timm Schroeder
Journal:  Nat Biotechnol       Date:  2016-11-08       Impact factor: 54.908

Review 6.  Engineering the hematopoietic stem cell niche: Frontiers in biomaterial science.

Authors:  Ji Sun Choi; Bhushan P Mahadik; Brendan A C Harley
Journal:  Biotechnol J       Date:  2015-09-10       Impact factor: 4.677

7.  High-resolution video monitoring of hematopoietic stem cells cultured in single-cell arrays identifies new features of self-renewal.

Authors:  Brad Dykstra; John Ramunas; David Kent; Lindsay McCaffrey; Erin Szumsky; Liam Kelly; Kristen Farn; April Blaylock; Connie Eaves; Eric Jervis
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-15       Impact factor: 11.205

Review 8.  A single cell bioengineering approach to elucidate mechanisms of adult stem cell self-renewal.

Authors:  Penney M Gilbert; Stephane Corbel; Regis Doyonnas; Karen Havenstrite; Klas E G Magnusson; Helen M Blau
Journal:  Integr Biol (Camb)       Date:  2012-02-10       Impact factor: 2.192

9.  The transcription factors STAT5A/B regulate GM-CSF-mediated granulopoiesis.

Authors:  Akiko Kimura; Michael A Rieger; James M Simone; Weiping Chen; Mark C Wickre; Bing-Mei Zhu; Philipp S Hoppe; John J O'Shea; Timm Schroeder; Lothar Hennighausen
Journal:  Blood       Date:  2009-09-24       Impact factor: 22.113

10.  Stem cell traits in long-term co-culture revealed by time-lapse imaging.

Authors:  Y Song; A Bahnson; N Hall; H Yu; H Shen; D Koebler; R Houck; Y Xie; T Cheng
Journal:  Leukemia       Date:  2009-10-01       Impact factor: 11.528

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