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      Discrete roles and bifurcation of PTEN signaling and mTORC1-mediated anabolic metabolism underlie IL-7–driven B lymphopoiesis

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          Abstract

          PTEN-PI3K and IL-7R–mTORC1–Myc are two discrete signaling axes driving B cell development.

          Abstract

          Interleukin-7 (IL-7) drives early B lymphopoiesis, but the underlying molecular circuits remain poorly understood, especially how Stat5 (signal transducer and activator of transcription 5)–dependent and Stat5-independent pathways contribute to this process. Combining transcriptome and proteome analyses and mouse genetic models, we show that IL-7 promotes anabolic metabolism and biosynthetic programs in pro-B cells. IL-7–mediated activation of mTORC1 (mechanistic target of rapamycin complex 1) supported cell proliferation and metabolism in a Stat5-independent, Myc-dependent manner but was largely dispensable for cell survival or Rag1 and Rag2 gene expression. mTORC1 was also required for Myc-driven lymphomagenesis. PI3K (phosphatidylinositol 3-kinase) and mTORC1 had discrete effects on Stat5 signaling and independently controlled B cell development. PI3K was actively suppressed by PTEN (phosphatase and tensin homolog) in pro-B cells to ensure proper IL-7R expression, Stat5 activation, heavy chain rearrangement, and cell survival, suggesting the unexpected bifurcation of the classical PI3K-mTOR signaling. Together, our integrative analyses establish IL-7R–mTORC1–Myc and PTEN-mediated PI3K suppression as discrete signaling axes driving B cell development, with differential effects on IL-7R–Stat5 signaling.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy.

            Recent advances in far-field fluorescence microscopy have led to substantial improvements in image resolution, achieving a near-molecular resolution of 20 to 30 nanometers in the two lateral dimensions. Three-dimensional (3D) nanoscale-resolution imaging, however, remains a challenge. We demonstrated 3D stochastic optical reconstruction microscopy (STORM) by using optical astigmatism to determine both axial and lateral positions of individual fluorophores with nanometer accuracy. Iterative, stochastic activation of photoswitchable probes enables high-precision 3D localization of each probe, and thus the construction of a 3D image, without scanning the sample. Using this approach, we achieved an image resolution of 20 to 30 nanometers in the lateral dimensions and 50 to 60 nanometers in the axial dimension. This development allowed us to resolve the 3D morphology of nanoscopic cellular structures.
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              Hierarchical organization of modularity in metabolic networks

              Spatially or chemically isolated functional modules composed of several cellular components and carrying discrete functions are considered fundamental building blocks of cellular organization, but their presence in highly integrated biochemical networks lacks quantitative support. Here we show that the metabolic networks of 43 distinct organisms are organized into many small, highly connected topologic modules that combine in a hierarchical manner into larger, less cohesive units, their number and degree of clustering following a power law. Within Escherichia coli the uncovered hierarchical modularity closely overlaps with known metabolic functions. The identified network architecture may be generic to system-level cellular organization.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                January 2018
                31 January 2018
                : 4
                : 1
                : eaar5701
                Affiliations
                [1 ]Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA.
                [2 ]Blood Research Institute, Blood Center of Wisconsin, Milwaukee, WI 53226, USA.
                [3 ]Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA.
                [4 ]St. Jude Proteomics Facility, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA.
                [5 ]Integrated Biomedical Sciences Program, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
                [6 ]Hartwell Center for Bioinformatics and Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA.
                [7 ]
                Author notes
                [*]

                Present address: Division of Rheumatology, Department of Medicine, and Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA.

                []Corresponding author. Email: hongbo.chi@ 123456stjude.org (H.C.); demin.wang@ 123456bcw.edu (D.W.); junmin.peng@ 123456stjude.org (J.P.)
                Author information
                http://orcid.org/0000-0002-9909-7732
                http://orcid.org/0000-0001-9739-9860
                http://orcid.org/0000-0002-2796-629X
                http://orcid.org/0000-0001-7486-7107
                http://orcid.org/0000-0003-3776-0858
                http://orcid.org/0000-0003-0472-7648
                http://orcid.org/0000-0001-5549-3795
                http://orcid.org/0000-0002-9997-2496
                Article
                aar5701
                10.1126/sciadv.aar5701
                5792226
                29399633
                12db0895-0dcc-4869-b47d-fe7ed3bfd52f
                Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 22 November 2017
                : 04 January 2018
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award363106
                Award ID: AI105887
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award363107
                Award ID: AI101407
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award363108
                Award ID: CA176624
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award363109
                Award ID: NS064599
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award367227
                Award ID: PO1 HL44612 and R01 AI079087
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: award367228
                Award ID: R01 AG053987
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Genetics
                Custom metadata
                Rochelle Abragante

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