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Single-cell mass cytometry reveals intracellular survival/proliferative signaling in FLT3-ITD-mutated AML stem/progenitor cells

Overview of attention for article published in Cytometry Part A, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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5 tweeters

Citations

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44 Dimensions

Readers on

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66 Mendeley
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1 CiteULike
Title
Single-cell mass cytometry reveals intracellular survival/proliferative signaling in FLT3-ITD-mutated AML stem/progenitor cells
Published in
Cytometry Part A, January 2015
DOI 10.1002/cyto.a.22628
Pubmed ID
Authors

Lina Han, Peng Qiu, Zhihong Zeng, Jeffrey L. Jorgensen, Duncan H. Mak, Jared K. Burks, Wendy Schober, Teresa J. McQueen, Jorge Cortes, Scott D. Tanner, Gail J. Roboz, Hagop M. Kantarjian, Steven M. Kornblau, Monica L. Guzman, Michael Andreeff, Marina Konopleva

Abstract

Understanding the unique phenotypes and complex signaling pathways of leukemia stem cells (LSCs) will provide insights and druggable targets that can be used to eradicate acute myeloid leukemia (AML). Current work on AML LSCs is limited by the number of parameters that conventional flow cytometry (FCM) can analyze because of cell autofluorescence and fluorescent dye spectral overlap. Single-cell mass cytometry (CyTOF) substitutes rare earth elements for fluorophores to label antibodies, which allows measurements of up to 120 parameters in single cells without correction for spectral overlap. The aim of this study was the evaluation of intracellular signaling in antigen-defined stem/progenitor cell subsets in primary AML. CyTOF and conventional FCM yielded comparable results on LSC phenotypes defined by CD45, CD34, CD38, CD123, and CD99. Intracellular phosphoprotein responses to ex vivo cell signaling inhibitors and cytokine stimulation were assessed in myeloid leukemia cell lines and one primary AML sample. CyTOF and conventional FCM results were confirmed by western blotting. In the primary AML sample, we investigated the cell responses to ex vivo stimulation with stem cell factor and BEZ235-induced inhibition of PI3K and identified activation patterns in multiple PI3K downstream signaling pathways including p-4EBP1, p-AKT, and p-S6, particularly in CD34(+) subsets. We evaluated multiple signaling pathways in antigen-defined subpopulations in primary AML cells with FLT3-ITD mutations. The data demonstrated the heterogeneity of cell phenotype distribution and distinct patterns of signaling activation across AML samples and between AML and normal samples. The mTOR targets p-4EBP1 and p-S6 were exclusively found in FLT3-ITD stem/progenitor cells, but not in their normal counterparts, suggesting both as novel targets in FLT3 mutated AML. Our data suggest that CyTOF can identify functional signaling pathways in antigen-defined subpopulations in primary AML, which may provide a rationale for designing therapeutics targeting LSC-enriched cell populations. © 2015 International Society for Advancement of Cytometry.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 3%
United States 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 27%
Student > Ph. D. Student 13 20%
Student > Postgraduate 6 9%
Student > Master 6 9%
Unspecified 5 8%
Other 18 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 38%
Medicine and Dentistry 13 20%
Biochemistry, Genetics and Molecular Biology 10 15%
Unspecified 6 9%
Immunology and Microbiology 6 9%
Other 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2015.
All research outputs
#3,604,417
of 12,518,030 outputs
Outputs from Cytometry Part A
#264
of 829 outputs
Outputs of similar age
#76,618
of 271,099 outputs
Outputs of similar age from Cytometry Part A
#7
of 24 outputs
Altmetric has tracked 12,518,030 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 271,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.