2003
DOI: 10.1016/s0301-472x(02)01012-3
|View full text |Cite
|
Sign up to set email alerts
|

Using divisional history to measure hematopoietic stem cell self-renewal and differentiation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2004
2004
2012
2012

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 11 publications
(8 citation statements)
references
References 31 publications
0
8
0
Order By: Relevance
“…Previous attempts to investigate HSC proliferation history have been limited to assays that involve in vitro manipulation of donor cell populations for efficient labeling, or that require fixation to permit experimental readout [2], [3], [5], [8], [22]. Therefore, most existing experimental data for HSC quiescence has been correlative, resting on the phenotypic identity of HSCs rather than their functional capacities.…”
Section: Discussionmentioning
confidence: 99%
“…Previous attempts to investigate HSC proliferation history have been limited to assays that involve in vitro manipulation of donor cell populations for efficient labeling, or that require fixation to permit experimental readout [2], [3], [5], [8], [22]. Therefore, most existing experimental data for HSC quiescence has been correlative, resting on the phenotypic identity of HSCs rather than their functional capacities.…”
Section: Discussionmentioning
confidence: 99%
“…7A), to test the timing of subsequent cell divisions. Because PKH26 is distributed proportionally among daughter cells following mitosis (29), it allows high-resolution cell division tracking.…”
Section: Actively Proliferating Lt-hscs Sustain a Prolonged Cell Cyclmentioning
confidence: 99%
“…We and others have demonstrated that the membrane dye PKH26 could be exploited to assist in isolation of the quiescent or SDF. 16,[24][25][26] In continuation with this line of research, the CD34 ϩ /CD38 Ϫ cells were separated into an SDF and a fast-dividing fraction (FDF). Global gene expression profiles for these 2 populations…”
Section: Introductionmentioning
confidence: 99%