35 research outputs found

    Dynamic organization of chromatin domains revealed by super-resolution live-dell imaging

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    Author Posting. Β© The Author(s), 2017. This is the author's version of the work. It is posted here by permission of Cell Press for personal use, not for redistribution. The definitive version was published in Molecular Cell 67 (2017): 282-293, doi:10.1016/j.molcel.2017.06.018.The eukaryotic genome is organized within cells as chromatin. For proper information output, higher-order chromatin structures can be regulated dynamically. How such structures form and behave in various cellular processes remains unclear. Here, by combining super-resolution imaging (photoactivated localization microscopy, PALM) and single nucleosome tracking, we developed a nuclear imaging system to visualize the higher-order structures along with their dynamics in live mammalian cells. We demonstrated that nucleosomes form compact domains with a peak diameter of ~160 nm and move coherently in live cells. The heterochromatin-rich regions showed more domains and less movement. With cell differentiation, the domains became more apparent, with reduced dynamics. Furthermore, various perturbation experiments indicated that they are organized by a combination of factors, including cohesin and nucleosome–nucleosome interactions. Notably, we observed the domains during mitosis, suggesting that they act as building blocks of chromosomes and may serve as information units throughout the cell cycle.This work was supported by MEXT and JSPS grants (23115005 and 16H04746, respectively) and a JST CREST grant (JPMJCR15G2).2018-07-1

    Single nucleosome imaging reveals loose genome chromatin networks via active RNA polymerase II.

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    Β© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Nagashima, R., Hibino, K., Ashwin, S. S., Babokhov, M., Fujishiro, S., Imai, R., Nozaki, T., Tamura, S., Tani, T., Kimura, H., Shribak, M., Kanemaki, M. T., Sasai, M., & Maeshima, K. Single nucleosome imaging reveals loose genome chromatin networks via active RNA polymerase II. Journal of Cell Biology, 218(5), (2019):1511-1530, doi:10.1083/jcb.201811090.Although chromatin organization and dynamics play a critical role in gene transcription, how they interplay remains unclear. To approach this issue, we investigated genome-wide chromatin behavior under various transcriptional conditions in living human cells using single-nucleosome imaging. While transcription by RNA polymerase II (RNAPII) is generally thought to need more open and dynamic chromatin, surprisingly, we found that active RNAPII globally constrains chromatin movements. RNAPII inhibition or its rapid depletion released the chromatin constraints and increased chromatin dynamics. Perturbation experiments of P-TEFb clusters, which are associated with active RNAPII, had similar results. Furthermore, chromatin mobility also increased in resting G0 cells and UV-irradiated cells, which are transcriptionally less active. Our results demonstrated that chromatin is globally stabilized by loose connections through active RNAPII, which is compatible with models of classical transcription factories or liquid droplet formation of transcription-related factors. Together with our computational modeling, we propose the existence of loose chromatin domain networks for various intra-/interchromosomal contacts via active RNAPII clusters/droplets.We thank Dr. Y. Hiromi, Dr. S. Hirose, Dr. H. Seino, and Dr. S. Ide for critical reading of this manuscript. We thank Dr. S. Ide, Dr. D. Kaida, Dr. T. Nagai, Dr. V. Doye, Dr. G. Felsenfeld, and Dr. K. Horie for valuable help and materials. We also thank the Maeshima laboratory members for helpful discussions and support. R. Imai and T. Nozaki are Japan Society for the Promotion of Science Fellows. R. Nagashima was supported by 2017 SOKENDAI Short-Stay Study Abroad Program. This work was supported by a Japan Society for the Promotion of Science grant (16H04746), Takeda Science Foundation, RIKEN Pioneering Project, a Japan Science and Technology Agency Core Research for Evolutional Science and Technology grant (JPMJCR15G2), a National Institute of General Medical Sciences grant (R01-GM101701), and National Institute of Genetics JOINT (2016-A2 (6))

    Dynamic Organization of Chromatin Domains Revealed by Super-Resolution Live-Cell Imaging

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    The eukaryotic genome is organized within cells as chromatin. For proper information output, higher-order chromatin structures can be regulated dynamically. How such structures form and behave in various cellular processes remains unclear. Here, by combining super-resolution imaging (photoactivated localization microscopy [PALM]) and single-nucleosome tracking, we developed a nuclear imaging system to visualize the higher-order structures along with their dynamics in live mammalian cells. We demonstrated that nucleosomes form compact domains with a peak diameter of ∼160 nm and move coherently in live cells. The heterochromatin-rich regions showed more domains and less movement. With cell differentiation, the domains became more apparent, with reduced dynamics. Furthermore, various perturbation experiments indicated that they are organized by a combination of factors, including cohesin and nucleosome-nucleosome interactions. Notably, we observed the domains during mitosis, suggesting that they act as building blocks of chromosomes and may serve as information units throughout the cell cycle

    A Comprehensive Peptidome Profiling Technology for the Identification of Early Detection Biomarkers for Lung Adenocarcinoma

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    The mass spectrometry-based peptidomics approaches have proven its usefulness in several areas such as the discovery of physiologically active peptides or biomarker candidates derived from various biological fluids including blood and cerebrospinal fluid. However, to identify biomarkers that are reproducible and clinically applicable, development of a novel technology, which enables rapid, sensitive, and quantitative analysis using hundreds of clinical specimens, has been eagerly awaited. Here we report an integrative peptidomic approach for identification of lung cancer-specific serum peptide biomarkers. It is based on the one-step effective enrichment of peptidome fractions (molecular weight of 1,000–5,000) with size exclusion chromatography in combination with the precise label-free quantification analysis of nano-LC/MS/MS data set using Expressionist proteome server platform. We applied this method to 92 serum samples well-managed with our SOP (standard operating procedure) (30 healthy controls and 62 lung adenocarcinoma patients), and quantitatively assessed the detected 3,537 peptide signals. Among them, 118 peptides showed significantly altered serum levels between the control and lung cancer groups (p<0.01 and fold change >5.0). Subsequently we identified peptide sequences by MS/MS analysis and further assessed the reproducibility of Expressionist-based quantification results and their diagnostic powers by MRM-based relative-quantification analysis for 96 independently prepared serum samples and found that APOA4 273–283, FIBA 5–16, and LBN 306–313 should be clinically useful biomarkers for both early detection and tumor staging of lung cancer. Our peptidome profiling technology can provide simple, high-throughput, and reliable quantification of a large number of clinical samples, which is applicable for diverse peptidome-targeting biomarker discoveries using any types of biological specimens

    Ezrin is required for the functional regulation of the epithelial sodium proton exchanger, NHE3

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    The sodium hydrogen exchanger isoform 3 (NHE3) mediates absorption of sodium, bicarbonate and water from renal and intestinal lumina. This activity is fundamental to the maintenance of a physiological plasma pH and blood pressure. To perform this function NHE3 must be present in the apical membrane of renal tubular and intestinal epithelia. The molecular determinants of this localization have not been conclusively determined, although linkage to the apical actin cytoskeleton through ezrin has been proposed. We set out to evaluate this hypothesis. Functional studies of NHE3 activity were performed on ezrin knockdown mice (Vil2kd/kd) and NHE3 activity similar to wild-type animals detected. Interpretation of this finding was difficult as other ERM (ezrin/radixin/moesin) proteins were present. We therefore generated an epithelial cell culture model where ezrin was the only detectable ERM. After knockdown of ezrin expression with siRNA, radixin and moesin expression remained undetectable. Consistent with the animal ultrastructural data, cells lacking ezrin retained an epithelial phenotype but had shortened and thicker microvilli. NHE3 localization was identical to cells transfected with nontargeting siRNA. The attachment of NHE3 to the apical cytoskeleton was unaltered as assessed by fluorescent recovery after photobleaching (FRAP) and the solubility of NHE3 in Triton X-100. Baseline NHE3 activity was unaltered, however, cAMPdependent inhibition of NHE3 was largely lost even though NHE3 was phosphorylated at serines 552 and 605. Thus, ezrin is not necessary for the apical localization, attachment to the cytoskeleton, baseline activity or cAMP induced phosphrylation of NHE3, but instead is required for cAMP mediated inhibition

    Cancer sp.

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    <div><p>The sodium hydrogen exchanger isoform 3 (NHE3) mediates absorption of sodium, bicarbonate and water from renal and intestinal lumina. This activity is fundamental to the maintenance of a physiological plasma pH and blood pressure. To perform this function NHE3 must be present in the apical membrane of renal tubular and intestinal epithelia. The molecular determinants of this localization have not been conclusively determined, although linkage to the apical actin cytoskeleton through ezrin has been proposed. We set out to evaluate this hypothesis. Functional studies of NHE3 activity were performed on ezrin knockdown mice (<em>Vil2<sup>kd/kd</sup></em>) and NHE3 activity similar to wild-type animals detected. Interpretation of this finding was difficult as other ERM (ezrin/radixin/moesin) proteins were present. We therefore generated an epithelial cell culture model where ezrin was the only detectable ERM. After knockdown of ezrin expression with siRNA, radixin and moesin expression remained undetectable. Consistent with the animal ultrastructural data, cells lacking ezrin retained an epithelial phenotype but had shortened and thicker microvilli. NHE3 localization was identical to cells transfected with non-targeting siRNA. The attachment of NHE3 to the apical cytoskeleton was unaltered as assessed by fluorescent recovery after photobleaching (FRAP) and the solubility of NHE3 in Triton X-100. Baseline NHE3 activity was unaltered, however, cAMP-dependent inhibition of NHE3 was largely lost even though NHE3 was phosphorylated at serines 552 and 605. Thus, ezrin is not necessary for the apical localization, attachment to the cytoskeleton, baseline activity or cAMP induced phosphrylation of NHE3, but instead is required for cAMP mediated inhibition.</p> </div

    Ezrin knockdown does not alter NHE3 activity <i>in vivo</i>.

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    <p>Immunoblot analysis of colon from wildtype and <i>Vil2<sup>kd/kd</sup></i> mice at day 16 (D16) pups and at 32 weeks of age (32 wks) adults for A) NHE3 and B) total ERM. C) Assessment of Na<sup>+</sup> flux across colonic mucosa of either wild-type (WT) (white bars, nβ€Š=β€Š6) or <i>Vil2<sup>kd/kd</sup></i> (black bars, nβ€Š=β€Š5) mice in the presence of 10 Β΅M benzamil (ENaC inhibited, Control) and then also in the presence of 100 Β΅M amiloride (NHE2 inhibited, Amiloride) and finally in the presence of the previous two drugs as well as 500 Β΅M dimethylamiloride (NHE3 inhibited, Amiloride+DMA). Columns not sharing the same lower-case are significantly different by ANOVA.</p

    Ezrin knockdown <i>in vitro</i> does not induce radixin or moesin expression, nor alter epithelial morphology.

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    <p>A) Representative immunoblots (nβ‰₯3) for ezrin, tubulin, actin, E-cadherin, NHERF-I, NHERF-II and phosho-ezrin of whole cell lysates (NHE3’<sub>38HA3</sub>,cells) after treatment with non-targeting siRNA or siRNA targeted against ezrin. Whole cell lysate from Cos7 and IEC cells were included as controls. B) XZ reconstruction of confocal stacks of a monolayer of NHE3’<sub>38HA3</sub> cells labeled with ezrin (red) and treated with Alexa488-conjugated phalloidin (green) after treatment with non-targeting siRNA or siRNA targeted against ezrin. C) XZ reconstruction of confocal stacks, and apical XY images, of a monolayer of NHE3’<sub>38HA3</sub> cells labeled with ezrin (red) and ZO-1 (green) after treatment with non-targeting siRNA or siRNA targeted against ezrin.</p

    Ezrin does not form a functional link between NHE3 and the actin cytoskeleton.

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    <p>A) Fluorescence recovery after photobleaching (FRAP) analysis of GPI linked GFP (grey triangles) and NHE3 after treatment with non-targeting siRNA (open circles) or siRNA targeted against ezrin (black diamonds), nβ‰₯20 cells per condition. B) Representative immunoblots and C) their quantification (nβ€Š=β€Š3) of triton-X 100 soluble (Sup.) triton insoluble (Pell.) and total NHE3 after treatment with non-targeting siRNA or siRNA targeted against ezrin.</p

    Ezrin is not required for NHE3 activity.

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    <p>The activity of NHE3 was measured as the sodium dependent recovery of pH after ammonium prepulse in A) NHE3’<sub>38HA3</sub>, cells and C) OK cells after transfection with either non-targeting siRNA (black squares) or siRNA targeted against ezrin (open circles) and found to be identical. Quantification of sodium dependent recovery of pH for the first 60 s of recovery after switching to sodium containing medium for NHE3’<sub>38HA3</sub> cells B) and OK cells D). The rate was normalized to cell surface fraction of NHE3 for NHE3’<sub>38HA3</sub> cells. After each measurement all cells on the coverslip were solubilized in Laemmli buffer and immunoblot analysis was performed for ezrin and actin (OK cells) and also NHE3 (NHE3’<sub>38HA3</sub> cells). E) Representative immunoblots and F) quantification of all immunoblots. The data are represented as the mean Β± SEM of at least 12 different experiments per condition.</p
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