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  • 1
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 349, No. 6244 ( 2015-07-10)
    Abstract: Immune cells function in an interacting hierarchy that coordinates the activities of various cell types according to genetic and environmental contexts. We developed graphical approaches to construct an extensible immune reference map from mass cytometry data of cells from different organs, incorporating landmark cell populations as flags on the map to compare cells from distinct samples. The maps recapitulated canonical cellular phenotypes and revealed reproducible, tissue-specific deviations. The approach revealed influences of genetic variation and circadian rhythms on immune system structure, enabled direct comparisons of murine and human blood cell phenotypes, and even enabled archival fluorescence-based flow cytometry data to be mapped onto the reference framework. This foundational reference map provides a working definition of systemic immune organization to which new data can be integrated to reveal deviations driven by genetics, environment, or pathology.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2015
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  • 2
    In: Cell Reports, Elsevier BV, Vol. 22, No. 7 ( 2018-02), p. 1875-1888
    Type of Medium: Online Resource
    ISSN: 2211-1247
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 3
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 488-488
    Abstract: Background: Flow cytometric immuno-phenotyping of lineage-associated antigens is used in the diagnosis of BCP ALL to distinguish neoplastic B-cells. However, the resultant immunophenotypic expression patterns are inadequate to inform prognosis or choice of therapy. Mass cytometry allows for multi-parametric analysis of single cells to distinguish phenotypic and functional features of subpopulations from leukemia samples. Mass cytometric analysis of pediatric Ph+ BCP ALL constructs a novel model of ALL organized along the normal B cell developmental trajectory (Davis et al., Cell 2014). Leukemic cells share phenotypic features with their normal early B cell counterparts. Critical survival and proliferation signaling is also linked to phenotypic state. Further, the developmental state of leukemic populations common among the patients impacts in vitroresponse to inhibition of BCR-ABL kinase signaling. Methods: Mononuclear cells from diagnostic bone marrow samples were obtained from pediatric patients with Philadelphia chromosome positive BCP-ALL under informed consent (n=21) or healthy controls (n=5). Mass cytometry analysis of 40 proteins was performed at baseline state and perturbed state (IL-7, TSLP, anti-m, dasatinib, tofacitinib, BEZ-235) as previously described (Bendall et al., Science 2011). Analysis was restricted to progenitor and blast populations. Healthy bone marrow samples were gated as previously described along the trajectory of developing B cells (Davis et al., Cell2014). These populations were used as the foundation for a classifier in which each leukemia cell was assigned to its nearest healthy population based on a distance metric (Mahalanobis in nine dimensions). Results: Compared to healthy bone marrow controls, and as expected, ALL samples displayed overexpression of early B cell immunophenotypic markers including CD10 (healthy mean counts 3.83 vs. leukemic 283.3, p=0.03), CD34 (6.26 vs. 80.7; p=0.03), and TdT (2.03 vs.18.9; p=0.002). Leukemic cells expressed lower levels of CD45 and IgM compared to healthy developing B cells. Extended phenotyping revealed conserved patterns of protein expression consistent with different developmental stages in B cell development. We have previously identified the precise developmental ordering of human B cell fractions based on the combined expression of CD34, CD38, CD24, TdT (Davis et al., Cell 2014). ALL samples showed increased numbers of cells occupying B cell progenitor compartments compared to healthy bone marrow controls. To formalize this observation, a single-cell classifier was constructed based on the developmental trajectory of healthy B cells. Each leukemic cell was assigned its most related healthy B cell population based on the expression of nine developmental proteins. Across all samples, the size of the pre-proB (CD34+CD38+TdT+) and proB (CD34+CD38+TdT+CD24+) compartments expanded (12% and 33% in ALL vs. 1% and 2% in healthy, respectively) at the expense of progenitor and preB cell compartments. Interestingly, within a given sample, cells may expand within more than one progenitor compartment such that each leukemia had a corrupted, but distinct B cell developmental trajectory. In two diagnosis-relapse pairs, the relapse sample occupied a more mature phenotype compared to its diagnostic partner. Within the developmental compartments, blast cells retained functional features of their healthy counterparts. Blasts within the ProB cell compartment displayed higher basal levels of pSTAT5, pS6, p4EBP1 and pCreb than blasts in other developmental compartments. These cells were more proliferative based on higher mean expression of Ki67. In healthy bone marrow, cells in this developmental state are characterized by ligand-independent STAT5 activation. Indeed the leukemia’s overall level of pSTAT5 correlated with the percentage of cells in the ProB state (R2=0.71). Similarly, in the leukemic samples, patients with a high percentage of cells in this state were less able to respond to inhibition of STAT5 with the tyrosine kinase inhibitor, Dasatinib than cells in other developmental compartments. Conclusions: Deep proteomic profiling of BCP ALL establishes a single-cell classification linking phenotype with functional attributes of leukemic cells. This data demonstrates that leukemic cells are more or less sensitive to therapeutic intervention based on their developmental state. Disclosures Bendall: Fluidigm: Consultancy. Simonds:Fluidigm: Consultancy, Equity Ownership. Nolan:Fluidigm, Inc: Consultancy, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 4
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 2745-2745
    Abstract: Abstract 2745 Poster Board II-721 Background: Gemtuzumab Ozogamicin (GO, Mylotarg), a humanized CD33 monoclonal antibody linked to calicheamicin was approved by the US FDA for use as a monotherapy in patients older than 60 years with relapsed acute myeloid leukemia (AML) unfit to tolerate standard salvage therapy. GO is internalized rapidly after infusion, and calicheamicin, a potent enediyene, is subsequently released and acts as a cytotoxic agent by causing double strand DNA breaks. Currently GO is in multiple clinical trials as a single agent or in combination with other therapies for both induction and consolidation treatment of various clinical subgroups of AML. However, the mechanisms of action and resistance of GO are incompletely understood and it is unclear which patient subgroups benefit from GO-based therapy. Single cell network profiling (SCNP) has shown promise as a methodology wherein multiple signaling networks are measured after treatment with an exogenous modulator such as a growth factor, cytokine or therapeutic agent and the identified signaling profiles can be used as clinical and therapeutic enablement tools. Objectives: SCNP using multiparameter flow cytometry was used to identify intracellular pathways that were associated with responsiveness or refractoriness to in vitro GO exposure in both cancer cell lines and primary AML samples. Methods: Signaling pathways emphasizing DNA damage response, cell cycle, apoptosis and drug transporter activity were measured by SCNP after in vitro exposure of cell lines and AML primary samples to clinically relevant concentrations of GO. Samples were processed for cytometry by paraformaldehyde /methanol fixation and permeabilzation followed by incubation with fluorochrome-conjugated antibody cocktails that recognize cell surface proteins to delineate cell subsets and intracellular signaling molecules. Results: In cell lines, responsiveness to in vitro GO exposure was defined as a) induction of DNA Damage as measured by increased p-ATM, p-Chk2 and p-H2AX, b) cell cycle arrest at G2/M as measured by increased cyclin B1 and DNA content & c) induction of apoptosis as measured by cleaved PARP and viability dyes. Of note, inhibition of drug transporter activity in 2 MDR-1+ cell lines did not restore GO responsiveness, suggesting the presence of additional relevant resistance mechanisms in these cell lines. In primary AML diagnostic samples, DNA damage and apoptosis pathway readouts were able to identify responsiveness or refractoriness to GO exposure. In the GO responsive profile, induction of both DNA damage responses and apoptosis were seen. Within the refractory samples, two distinct profiles were observed: a) robust and early induction of DNA damage response without apoptosis and 2) delayed and attenuated DNA damage response without apoptosis. Conclusions: Characterization of intracellular Cell Cycle, DNA Damage, and Apoptosis networks in single cells after GO exposure distinguishes GO responsive from refractory AML cells. Further, these pathway signatures provide information about mechanisms of refractoriness. (e.g. a block between a successful DNA damage response and initiation of apoptosis versus a block in the initial induction of DNA damage after GO exposure). The ability of the same profiles to predict clinical responses to the drug will be tested in future studies. Disclosures: Rosen: Nodality, Inc.: Employment, Equity Ownership. Cordeiro:Nodality Inc.: Employment, Equity Ownership. Soper:Nodality Inc.: Employment, Equity Ownership. Huang:Nodality Inc.: Employment, Equity Ownership. Cesano:Nodality Inc.: Employment, Equity Ownership. Fantl:Nodality Inc.: Employment, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 5
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 1263-1263
    Abstract: Abstract 1263 Poster Board I-285 Background In conjunction with antigen-driven responses, ligand-independent signaling (termed tonic signaling) through both the pre-B cell receptor and B-cell receptor has an important role in B cell development, maturation and survival. In addition to the recognized role of CD79 alpha and CD79 beta BCR signaling, tyrosine phosphatases can impact tonic BCR signaling (Wienands et al. PNAS, 93 p.7865 (1996), Monroe Nat. Rev. Immunol. 6 p.283 (2006)). We previously subjected chronic lymphocytic leukemia (CLL) cells with modulators of BCR signaling and monitored their responses using flow cytometry-based Single Cell Network Profiling (SCNP). Of the many signaling modulators studied, hydrogen peroxide treatment (a general inhibitor of tyrosine phosphatase activity) augmented BCR signaling in a subset of CLL patient samples evaluated. In the remaining samples there was an apparent lack of response to hydrogen peroxide. These data suggested that differential phosphatase activity proximal to BCR signaling was driving the biology of these two patient groups. Objectives Studies were designed to evaluate whether there were any associations between tonic and/or ligand-dependent BCR signaling and in vitro sensitivity to fludarabine, as well as whether such response profiles showed a relationship to the hydrogen peroxide-dependent signaling we observed previously. Methods 23 CLL samples and 7 healthy PBMCs were treated with anti-m alone, hydrogen peroxide alone or the combination for 10 minutes. Separate aliquots of the same sample were exposed to F-ara-A for 48 hours. SCNP was carried out on gated B cells with quantitation of single cell measures of intracellular phosphorylated kinases and adaptor proteins downstream of the BCR. Additionally, the relative activation status of several protein markers of the apoptotic cascade (cytoplasmic cytochrome C, cleaved caspase 3, and cleaved PARP) was measured. Results As previously observed, CLL samples could be segregated into one of two groups exhibiting either responsive or refractory signaling after exposure to hydrogen peroxide alone. Moreover, responsive signaling in CLL cells was correlated in that all the measured components of the canonical B cell receptor network (p-Lyn, p-Syk, p-BLNK, p-PLC-gamma-2, p-Erk and p-Akt) showed the same phosphorylation response: either augmented in unison, or not activated at all. In vitro F-ara-A treatment (48 hours in the presence of 1mM F-ara-A) of parallel samples from these same CLL patients identified distinct populations of apoptosis responsive and refractory cells. Surprisingly, the capacity of patient samples to show augmented BCR signaling in response to hydrogen peroxide was associated prominently with the ability of cells in these patients to exhibit apoptotic proficiency to F-ara-A in vitro. This implies a link between mechanisms governing apoptosis in these CLL cells, survival pathways, and cell states that govern the role of phosphatase activity and BCR signaling potential. Conclusions This study reveals a link between tonic BCR signaling and regulation of apoptosis pathways. This suggests that the subgroup of CLL patients with active phosphatase activity (which suppresses BCR responses) have cell populations that are responsive to F-ara-A, a standard drug in CLL therapy. Conversely, the presence of CLL cells in a patient sample that remain unresponsive to hydrogen peroxide repression of phosphatase activity appear to identify patient samples which cannot undergo apoptosis in response to in vitro F-Ara-A exposure. The clinical implications of this work will be the focus of future translational studies. Disclosures Evensen: Nodality Inc.: Employment, Equity Ownership. Palazzo:Nodality Inc.: Employment, Equity Ownership. Huang:Nodality Inc.: Employment, Equity Ownership. Cesano:Nodality Inc.: Employment, Equity Ownership. Fantl:Nodality, Inc.: Employment, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 6
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 4782-4782
    Abstract: Abstract 4782 Mass cytometry is a recently introduced proteomic technology that permits simultaneous measurements currently of as many as 40 parameters per single cell, including surface markers and intracellular signaling molecules and has recently provided a system-wide view of immune/hematopoietic cell differentiation within human bone marrow (Bendall et al, Science 2011). Given the unprecedented level of detail at the single cell level this approach provides, this technology is ideal for delineating the molecular and cellular basis of tumor heterogeneity. As an extension from our recent mass cytometry studies, we have now developed a method to perform cell cycle analysis by utilizing uridine incorporation, simultaneously with determinations of other cell cycle phase markers such as cyclins A, B1, and D as well as phosphorylation of retinoblastoma protein, histone H3, plus markers of apoptosis and other critical markers that demarcate malignant dysregulation. This allows for cell cycle state characterization that can be employed in both cell lines and primary cells growing in vitro or in vivo. We have combined this new method with a hierarchical clustering algorithm (SPADE) to profile the cell cycle state distribution across the continuum of hematopoietic differentiation in normal bone marrow. We observe the expected quiescence of terminally differentiated cells, hematopoietic progenitor and stem cell populations, and note that the majority of cell proliferation is confined to immunophenotypically immature cell populations of the myeloid, erythroid and monocytic linages. We have begun a broad comparison of these “normal” proliferation states to those observed across punctuated states of malignant progression that vary in “differentiation” of malignant cells in primary human sample in patients with acute myeloid leukemia revealing. The distribution of proliferation across these subpopulations generally parallels that of normal samples with more immunophenotypically “differentiated” AML cell populations having lower proliferative rates, however, not all AML patient samples follow this trend. Disclosures: Fantl: Nodality, Inc.: Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 7
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 325-325
    Abstract: Abstract 325 Background: Acute Myeloid Leukemia (AML) is the most common myeloid malignancy in adults and represents an aggressive disease with significant biological and clinical heterogeneity. Currently, cytogenetics and molecular changes are used to inform treatment strategies. However a wide range of clinical responses are observed in these patient subgroups necessitating alternative methodologies to provide information that could inform clinical decisions for AML disease management. Since the net result of the cytogenetic and molecular changes is necessarily a functional alteration of proteins within signal transduction networks the current study was undertaken to understand the diversity of signaling responses in AML patient samples. Critically, in these studies treatment of samples with a variety of input stimuli allowed intracellular phospho-signaling and apoptosis network properties to be revealed that would otherwise remain unseen in resting cells. Objectives: Single cell network profiling (SCNP) using muliparameter flow cytometry was used to identify intracellular pathway responses to treatment with myeloid cytokines and growth factors in addition to apoptosis-inducing agents in individual AML patients. Identification of unique signaling profiles in patient sample sub-groups may inform the choice of specific therapeutic regimens. Methods: JAK/STAT, PI3K/S6 and apoptosis signaling pathways were measured after in vitro exposure of 34 diagnostic non-M3 AML samples to a panel of myeloid growth factors (e.g FLT3L, SCF), cytokines (e.g G-CSF, GM-CSF) interleukins (e.g IL-6, IL-27) and apoptosis-inducing agents (etoposide, staurosporine). Samples were processed for cytometry by paraformaldehyde/methanol fixation and permeabilization followed by incubation with fluorochrome-conjugated antibody cocktails that recognize both cell surface proteins to delineate cell subsets in addition to intracellular signaling molecules. Results: JAK/STAT and PI3K/S6 signaling responses to individual modulators revealed a range of activity in these pathways within individual patients. Analysis of JAK/STAT and PI3K/S6 pathways across individual patient samples identified subgroups of samples with distinct pathway profiles: A) high JAK/STAT activity, B) high PI3K/S6 activity, C) high activity in both pathways, and D) low activity in both pathways. In vitro exposure of samples to staurosporine and etoposide revealed three distinct “apoptosis” profiles: 1) Staurosporine Refractory 2) Etoposide Refractory and samples that were 3) Apoptosis Competent in response to both these agents. In this study, elevated PI3K/S6 pathway activity and elevated IL-27/IL-6 induced JAK/STAT pathway activity was associated with in vitro refractoriness to apoptosis inducing agents. Analysis of JAK/STAT, PI3K/S6 and Apoptosis pathway activities characterized biologically distinct patient-specific signatures, even within cytogenetically and phenotypically uniform patient subgroups. Notable were differences in signaling profiles between samples from different patients and in cell subpopulations within the same sample. Conclusions: SCNP revealed a range of signaling responses within AML samples consistent with the heterogeneity of the disease. The data suggest the importance of characterizing and tracking signaling profiles within the subpopulations of an AML sample over time and in response to therapeutic pressure with the aim of guiding the choice of a targeted agent to be used alone or in combination with chemotherapy to improve patient response rates. Disclosures: Rosen: Nodality, Inc.: Employment, Equity Ownership. Putta:Nodality, Inc.: Employment, Equity Ownership. Covey:Nodality, Inc.: Employment, Equity Ownership. Huang:Nodality Inc.: Employment, Equity Ownership. Cesano:Nodality Inc.: Employment, Equity Ownership. Fantl:Nodality, Inc.: Employment, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 8
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 1903-1903
    Abstract: Introduction: Flow cytometry is commonly used to characterize bone marrow (BM) cells of patients with myelodysplastic syndrome (MDS). However the diagnostic utility of this technique has been limited. To address this, we utilized 31-parameter single cell mass cytometry (MCM) to comprehensively analyze primary MDS BM samples. Methods: Expression levels of 31 surface markers, including most previously reported aberrant markers in MDS, were measured on 30 whole BM samples from 10 patients with higher-risk MDS (HR-MDS; IPSS = Int2/High/RAEB-T), 10 with lower-risk MDS (LR-MDS; IPSS = Low/Int1), and 3 patients with non-clonal cytopenias. In addition, 5 BM samples from normal donors were simultaneously analyzed as internal reference comparisons. All samples were barcoded, such that 20 samples (MDS and healthy) could be combined into a single tube for simultaneous antibody staining and analysis. Aberrant marker expression was defined as a median expression level falling outside 4 times the absolute variance of the normal samples in each gated population. Further analysis compared manual gating with unsupervised clustering (spanning tree progression analysis of density-normalized events [SPADE]). Results: MCM analysis generated 31-parameter single-cell data that defined 28 major immunophenotypic populations for each sample. This enabled detection of an aberrant expression of 25/31 markers in at least one population, encompassing essentially every previously reported surface marker aberrancy in MDS. Additionally, 3 previously unrecognized aberrant expression patterns were identified by both manual gating and SPADE: increased CD321 (64% of samples) and CD99 (36% of samples); and decreased CD47 (14% of samples). We focused further analyses on the stem and progenitor cell compartment (HSC, MPP, CMP), in which 20 of the 22 MDS samples exhibited at least one aberrancy (average 2.7) in one of these 3 populations (RAEB-T samples exhibited an average of 4). By contrast, no aberrancies were detected within these populations in the 3 samples from patients with non-clonal cytopenias. In addition to the identification of aberrant expression patterns within the subdivided stem and progenitor cell populations (HSPC) of individual samples, analysis of the HSPC population (CD34+CD38low) as a whole, revealed significant increases (~2-fold) in median expression of CD117 (p=0.003) and HLA-DR (p=0.028) for MDS samples compared to normal. Differences in CD117 and HLA-DR could also be appreciated as aberrant expression patterns (outside 4-fold the variance of normal) in 12/22 and 13/22 samples, respectively. Comparison of marker expression within the HSPCs between patients with HR-MDS and LR-MDS also revealed significant differences. HR-MDS HSPCs were characterized by a ~2-fold increase in CD99 compared to LR-MDS (p=0.0018) and a ~3-fold decrease in CD45 compared to LR-MDS (p=8.8x10-5). Differences in CD99 and CD45 could also be appreciated as aberrant expression patterns in 7/12 and 6/12 of the HR-MDS samples, respectively. Finally, the distribution of cell frequencies across the immunophenotypic populations (by SPADE analysis or manual gating) was used to perform a hierarchical clustering of all samples. This clustered patients into groups with different clinical risk. The most significant single distinguishing feature between clinical risk groups was the increased frequency ( 〉 40-fold) of HSPCs in HR-MDS compared to LR-MDS (p=9x10-7) or normal (p=6.3x10-6). Furthermore, this high-parameter analysis detected a 〉 12-fold increase in the HSPC frequency in 2 patients with IPSS Int-2 disease with blast frequencies of 〈 5% (following therapy). Conclusions: This first application of MCM for the analysis of MDS detected all major established aberrant expression patterns in MDS, as well as novel aberrant expression patterns of CD321, CD99, and CD47. Importantly, using high-parameter single-cell analysis and internal normal reference samples, we detected numerous deviations from the immunophenotypic boundaries of normal hematopoiesis in every analyzed MDS sample. Clustering of the cell frequency distribution across the immunophenotypic populations also defined groups of patients with differing clinical risk. These results demonstrate that high-parameter diagnosticcytometry methods can greatly enhance the diagnostic utility of immunophenotypic analysis in MDS. Figure 1 Figure 1. Disclosures Behbehani: Fluidigm: Consultancy. Finck:Fluidigm: Consultancy. Nolan:Fluidigm, Inc: Consultancy, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 9
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 1995
    In:  Science Vol. 268, No. 5207 ( 1995-04-07), p. 100-102
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 268, No. 5207 ( 1995-04-07), p. 100-102
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 1995
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  • 10
    In: Analytical Chemistry, American Chemical Society (ACS), Vol. 94, No. 30 ( 2022-08-02), p. 10626-10635
    Type of Medium: Online Resource
    ISSN: 0003-2700 , 1520-6882
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2022
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