2012
DOI: 10.1002/cyto.b.21007
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Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: Effect of specimen source (bone marrow or peripheral blood) on assay readouts

Abstract: Background Single Cell Network Profiling (SCNP) is used to simultaneously measure the effects of modulators on signaling networks at the single cell level. SCNP-based biomarker assays predictive of response to induction therapy and relapse risk in AML patients are being developed. Such assays have typically utilized bonemarrow (BM) as the sample source of blasts. Since circulating peripheral blasts are detectable in ~65% of AML patients and peripheral blood (PB) sampling is less invasive than BM sampling, this… Show more

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Cited by 28 publications
(37 citation statements)
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“…All studies followed the general experimental methods described previously. [16][17]24 Key differences between the methodologies at Verona University and Nodality are summarized in Online Supplementary …”
Section: Experimental Methodologymentioning
confidence: 99%
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“…All studies followed the general experimental methods described previously. [16][17]24 Key differences between the methodologies at Verona University and Nodality are summarized in Online Supplementary …”
Section: Experimental Methodologymentioning
confidence: 99%
“…The Uu metric is the Mann-Whitney U statistic that compares the ERF values of the modulated and unmodulated wells that have been scaled to the unit interval (0,1) for a given donor and quantifies the fraction of cells responding to a specific modulation. 24 When combined, a "node-metric" is a quantified change in signal and is used to interpret the functionality and biology of each signaling node. It is annotated as "node | metric", e.g.…”
Section: Single Cell Network Profiling Assay Terminology and Metricsmentioning
confidence: 99%
“…In order to minimize the effect of pre-analytic variables on assay read-outs, methods and specifications have been developed to assess sample “health” for inclusion in the SCNP assays (27). Specifically, for each sample cell health was assessed by measuring the cells that were alive (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Single-cell perturbation and cytometric interrogation reveals cell-by-cell response patterns to perturbations (by challenging the regulatory wiring of each cell) and then determining the extent to which the cancer cell population is divergent from normal. One key finding is that signaling differences can correlate significantly with outcomes and therefore the development of diagnostic tests for cancer could be predicated on such evidence 26,[37][38][39] .…”
Section: Fluorescence-based Flow Cytometrymentioning
confidence: 99%