Background: Gene expression profiling has shown its ability to identify with high accuracy low cytogenetic risk acute myeloid leukemia such as acute promyelocytic leukemia and leukemias with t(8;21) or inv(16). The aim of this gene expression profiling study was to evaluate to what extent suboptimal samples with low leukemic blast load (range, 2-59%) and/or poor quality control criteria could also be correctly identified. Methods: Specific signatures were first defined so that all 71 acute promyelocytic leukemia, leukemia with t(8;21) or inv(16)-AML as well as cytogenetically normal acute myeloid leukemia samples with at least 60% blasts and good quality control criteria were correctly classified (training set). The classifiers were then evaluated for their ability to assign to the expected class 111 samples considered as suboptimal because of a low leukemic blast load (n=101) and/or poor quality control criteria (n=10) (test set). Results: With 10-marker classifiers, all training set samples as well as 97 of the 101 test samples with a low blast load, and all 10 samples with poor quality control criteria were correctly classified. Regarding test set samples, the overall error rate of the class prediction was below 4 percent, even though the leukemic blast load was as low as 2%. Sensitivity, specificity, negative and positive predictive values of the class assignments ranged from 91% to 100%. Of note, for acute promyelocytic leukemia and leukemias with t(8;21) or inv(16), the confidence level of the class assignment was influenced by the leukemic blast load. Conclusion: Gene expression profiling and a supervised method requiring 10-marker classifiers enable the identification of favorable cytogenetic risk acute myeloid leukemia even when samples contain low leukemic blast loads or display poor quality control criterion.
Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples.
Time
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples.
Specimen part, Time
View SamplesHsa-mir-365-2 is one of the two precursors that give rise to miR-365. We discovered that miR-365 directly regulates a lung cancer and developmental gene termed thyroid transcription factor 1 (TTF-1 or NKX2-1).
MiR-365 regulates lung cancer and developmental gene thyroid transcription factor 1.
Cell line
View SamplesDespite the importance of inter-cellular communication networks in regulating stem cell fate decisions, very little is known about the topology, dynamics, or functional significance. Using human blood stem cell cultures as an experimental paradigm, we present a novel bioinformatic approach to integrate genome-scale molecular profiles (transcriptome and secretome) and publicly available databases to reconstruct soluble factor-mediated inter-cellular signalling networks regulating blood stem cell fate decisions.
Dynamic interaction networks in a hierarchically organized tissue.
Specimen part
View SamplesComparative analyses of Mex67 and Npl3 binding to mRNA at normal growth condition (25째C) and upon shift to heat stress (30 min, 42째C). Overall design: Examination of two biological RNA Co-IP replicates of Mex67, Npl3 and no tag control at 25째C and upon shift to 30 min at 42째C (Heat stress) and subsequent Illumina RNA deep-sequencing
mRNA quality control is bypassed for immediate export of stress-responsive transcripts.
Cell line, Subject
View SamplesPluripotent stem cells (PSCs) exist in multiple stable states, each with specific cellular properties and molecular signatures. The process by which pluripotency is either maintained or destabilized to initiate specific developmental programs is poorly understood. We have developed a model to predict stabilized PSC gene regulatory network (GRN) states in response to combinations of input signals. While previous attempts to model PSC fate have been limited to static cell compositions, our approach enables simulations of dynamic heterogeneity by combining an Asynchronous Boolean Simulation (ABS) strategy with simulated single cell fate transitions using a Strongly Connected Components (SCCs). This computational framework was applied to a reverse-engineered and curated core GRN for mouse embryonic stem cells (mESCs) to simulate responses to LIF, Wnt/ß-catenin, FGF/ERK, BMP4, and Activin A/Nodal pathway activation. For these input signals, our simulations exhibit strong predictive power for gene expression patterns, cell population composition, and nodes controlling cell fate transitions. The model predictions extend into early PSC differentiation, demonstrating, for example, that a Cdx2-high/Oct4-low state can be efficiently generated from mESCs residing in a naïve and signal-receptive state sustained by combinations of signaling activators and inhibitors. Overall design: Examination of perturbed PSCs versus control PSCs and mesoderm progenitors Mouse pluripotent stem cells were grown on tissue culture plates for two days in serum-containing, feeder free medium supplemented with the following cytokines/small molecules: 2i = CHIR99021 (Reagents Direct 27-H76 – 3µM) & PD0325901 (Reagents Direct 39-C68 – 1µM) Jaki = JAK inhibitor (EMD Millipore 420097 – 2.0µM) BMP = BMP4 (R&D Systems 314-BP-010 – 10ng/ml) Alk5i = ALK5 inhibitor II (Cedarlane ALX-270-445 - 10µM)
Modeling signaling-dependent pluripotency with Boolean logic to predict cell fate transitions.
Cell line, Treatment, Subject, Time
View SamplesThe neural stem cell decision to self-renew or differentiate is tightly regulated by its microenvironment. Here, we have asked about this microenvironment, focusing on growth factors in the embryonic cortex at a time when it is largely comprised of neural precursor cells (NPCs) and newborn neurons. We show that cortical NPCs secrete factors that promote their maintenance while cortical neurons secrete factors that promote differentiation. To define factors important for these activities, we used transcriptome profiling to identify ligands produced by NPCs and neurons, cell surface mass spectrometry to identify receptors on these cells, and computational modeling to integrate these data. The resultant model predicts a complex growth factor environment with multiple autocrine and paracrine interactions. We tested this communication model, focusing on neurogenesis, and identified IFN, Nrtn and glial-derived neurotrophic factor (GDNF) as ligands with unexpected roles in promoting neurogenic differentiation of NPCs in vivo.
Proneurogenic Ligands Defined by Modeling Developing Cortex Growth Factor Communication Networks.
Specimen part
View SamplesSamples of adherent and suspension cells undergoing reprogramming were collected at day 0, day2, day6, day15 (with doxycycline) and day25 (without doxycycline).
Derivation, expansion and differentiation of induced pluripotent stem cells in continuous suspension cultures.
Specimen part
View SamplesComplex tissues contain multiple cell types that are hierarchically organized within morphologically and functionally distinct compartments. Construction of engineered tissues with optimized tissue architecture has been limited by tissue fabrication techniques, which do not enable versatile microscale organization of multiple cell types in tissues of size adequate for physiologic studies and tissue therapies. Here, we present an Intaglio-Void/Embed-Relief Topographic (InVERT) molding method for microscale organization of many cell types, including induced pluripotent stem cell (iPS)-derived progeny, within a variety of synthetic and natural extracellular matrices and across tissues of sizes appropriate for in vitro, pre-clinical, and clinical biologic studies. We demonstrate that compartmental placement of non-parenchymal cells relative to primary or iPS-derived hepatocytes and hepatic compartment microstructure and cellular composition modulate hepatic functions. Configurations found to be optimal in vitro also result in superior survival and function after transplantation into mice, demonstrating the importance of architectural optimization prior to implantation.
InVERT molding for scalable control of tissue microarchitecture.
Specimen part
View SamplesDuring chronic viral infection, the inflammatory function of CD4 T cells becomes gradually attenuated. Concurrently, Th1 cells progressively acquire the capacity to secrete the cytokine IL-10, a potent suppressor of antiviral T cell responses. To determine the transcriptional changes that underlie this T cell adaption process, we applied a single-cell RNA-sequencing approach and assessed the heterogeneity of IL-10-expressing CD4 T cells during chronic infection. Unexpectedly, our analyses revealed an IL-10-producing population with a robust Tfh-signature. Using IL-10 and IL-21 double-reporter mice, we further demonstrate that IL-10+IL-21+co-producing Tfh cells arise predominantly during chronic but not acute LCMV infection. Importantly, depletion of IL-10+IL-21+co-producing CD4 T cells or deletion of Il10 specifically in Tfh cells resulted in impaired humoral immunity and viral control. Mechanistically, B cell-intrinsic IL-10 signaling was required for sustaining germinal center reactions. Lastly, we demonstrate that IL-27 and type I IFNs differentially regulate the formation of this protective IL-10-producing Tfh subset. Thus, our findings elucidate a critical role for Tfh-derived IL-10 in promoting humoral immunity during persistent viral infection. Overall design: One sample prepared using 10x Genomics Chromium platform
Single-cell RNA sequencing unveils an IL-10-producing helper subset that sustains humoral immunity during persistent infection.
Specimen part, Subject, Time
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