26 research outputs found

    Dynamic Modulation of Thymic MicroRNAs in Response to Stress

    Get PDF
    thymocyte subsets. Several of the differentially regulated murine thymic miRs are also stress responsive in the heart, kidney, liver, brain, and/or spleen. The most dramatic thymic microRNA down modulated is miR-181d, exhibiting a 15-fold reduction following stress. This miR has both similar and distinct gene targets as miR-181a, another member of miR-181 family. Many of the differentially regulated microRNAs have known functions in thymopoiesis, indicating that their dysregulation will alter T cell repertoire selection and the formation of naΓ―ve T cells. This data has implications for clinical treatments involving anti-inflammatory steroids, ablation therapies, and provides mechanistic insights into the consequences of infections

    Biochemical and immunoregulatory properties of a distincte murine alpha-fetoprotein isoform

    No full text
    Alpha-fetoprotein (AFP) is a tumor-associated embryonic serum glycoprotein, existing in the circulation as a heterogeneous population of closely related molecular variants. The biological function(s) of AFP is not known, but the precisely regulated expression of AFP molecules during ontogenetic development and in certain diseases is consistent with an immunoregulatory function.The present thesis examines the functional significance of murine AFP microheterogeneity. In the initial phase of this study, seven individual AFP isoforms were purified with a novel separation protocol developed on Mono Q anion-exchange columns linked to an FPLC system. All seven subspecies were further characterized by isoelectric focusing gels, immunoblot analysis, molecular weight determination, and sialic acid composition studies. When all seven variants were tested in several AFP sensitive immune assays, we determined that all the immunosuppressive activity of native AFP was localized to a single distinct molecular variant. This isoform, AFP-1, exhibited an isoelectric point of pH = 5.1, contained 1 mol of sialic acid/mol of protein, and represented approximately 6% of the total population of naturally occurring AFP isoforms isolated from the amniotic fluid at days 15-19 of murine gestation. Further studies indicated that sialic acid expression on the carbohydrate portion of the AFP molecules was unlikely to be involved in the suppressor function.Since it has been reported that the polyunsaturated fatty acids arachidonic acid and docosahexaenoic acid complexed to AFP molecules may be necessary for the expression of AFP-mediated immunoregulatory activity, we also examined the potential contribution of these polyunsaturated fatty acids to the immunoregulative function of the active isoform. Gas liquid chromatographic analyses, delipidation procedures and fatty acid reassociation experiments indicated that these fatty acids are unlikely to contribute to AFP-mediated immunosuppressive activity. We also determined that MAF-derived AFP from different gestational time points including days 10.5, 12.5, 14.5, 16.5, and 18.5 exhibits immunosuppressive activity in vitro. All the above results are the first direct demonstration that individual molecular variants of murine AFP have distinct immunoregulatory properties. This should facilitate a better comprehension of the relationship of molecular structure to biological function of AFP molecules during fetal development

    Transgenic Expression of MicroRNA-181d Augments the Stress-Sensitivity of CD4<sup>+</sup>CD8<sup>+</sup> Thymocytes

    Get PDF
    <div><p>Physiological stress resulting from infections, trauma, surgery, alcoholism, malnutrition, and/or pregnancy results in a substantial depletion of immature CD4<sup>+</sup>CD8<sup>+</sup> thymocytes. We previously identified 18 distinct stress-responsive microRNAs (miRs) in the thymus upon systemic stress induced by lipopolysaccharide (LPS) or the synthetic glucocorticoid, dexamethasone (Dex). MiRs are short, non-coding RNAs that play critical roles in the immune system by targeting diverse mRNAs, suggesting that their modulation in the thymus in response to stress could impact thymopoiesis. MiR-181d is one such stress-responsive miR, exhibiting a 15-fold down-regulation in expression. We utilized both transgenic and gene-targeting approaches to study the impact of miR-181d on thymopoiesis under normal and stress conditions. The over-expression of miR-181d in developing thymocytes reduced the total number of immature CD4<sup>+</sup>CD8<sup>+</sup> thymocytes. LPS or Dex injections caused a 4-fold greater loss of these cells when compared with the wild type controls. A knockout mouse was developed to selectively eliminate miR-181d, leaving the closely spaced and contiguous family member miR-181c intact. The targeted elimination of just miR-181d resulted in a thymus stress-responsiveness similar to wild-type mice. These experiments suggest that one or more of three other miR-181 family members have overlapping or compensatory functions. Gene expression comparisons of thymocytes from the wild type versus transgenic mice indicated that miR-181d targets a number of stress, metabolic, and signaling pathways. These findings demonstrate that selected miRs enhance stress-mediated thymic involution <i>in vivo</i>.</p></div

    Small RNAs Asserting Big Roles in Mycobacteria

    No full text
    Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb), with 10.4 million new cases per year reported in the human population. Recent studies on the Mtb transcriptome have revealed the abundance of noncoding RNAs expressed at various phases of mycobacteria growth, in culture, in infected mammalian cells, and in patients. Among these noncoding RNAs are both small RNAs (sRNAs) between 50 and 350 nts in length and smaller RNAs (sncRNA) < 50 nts. In this review, we provide an up-to-date synopsis of the identification, designation, and function of these Mtb-encoded sRNAs and sncRNAs. The methodological advances including RNA sequencing strategies, small RNA antagonists, and locked nucleic acid sequence-specific RNA probes advancing the studies on these small RNA are described. Initial insights into the regulation of the small RNA expression and putative processing enzymes required for their synthesis and function are discussed. There are many open questions remaining about the biological and pathogenic roles of these small non-coding RNAs, and potential research directions needed to define the role of these mycobacterial noncoding RNAs are summarized

    Small RNAs Asserting Big Roles in Mycobacteria

    No full text
    Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb), with 10.4 million new cases per year reported in the human population. Recent studies on the Mtb transcriptome have revealed the abundance of noncoding RNAs expressed at various phases of mycobacteria growth, in culture, in infected mammalian cells, and in patients. Among these noncoding RNAs are both small RNAs (sRNAs) between 50 and 350 nts in length and smaller RNAs (sncRNA) &lt; 50 nts. In this review, we provide an up-to-date synopsis of the identification, designation, and function of these Mtb-encoded sRNAs and sncRNAs. The methodological advances including RNA sequencing strategies, small RNA antagonists, and locked nucleic acid sequence-specific RNA probes advancing the studies on these small RNA are described. Initial insights into the regulation of the small RNA expression and putative processing enzymes required for their synthesis and function are discussed. There are many open questions remaining about the biological and pathogenic roles of these small non-coding RNAs, and potential research directions needed to define the role of these mycobacterial noncoding RNAs are summarized

    T cell development is normal in miR-181d knock-in mice.

    No full text
    <p>(A) Confirmation of miR-181d KI by a representative southern blot. Comparison of the wild type and mutated (miR-181d KI) sequences are provided. 5β€²-seed region is underlined. Base replacements are highlighted in red. (B) Total thymus cellularity in the control and miR-181d KI mice. (C) Average percentages of thymocyte subsets (DN, DP, CD4 SP, and CD8 SP) are shown for the WT (white) and miR-181d KI (black) mice. (B–C) Data are of the mean +/βˆ’ SEM from the WT (nβ€Š=β€Š18) and miR-181d KI (nβ€Š=β€Š17) mice. (D) Total thymus cellularity in the control and miR-181d KI mice at 72 hours post-LPS (100 Β΅g/mouse) injection (n.s. β€Š=β€Š non-significant; Two-tailed unpaired Student's <i>t</i>-test). (E) Average percentages of DP thymocytes at 72 hours after PBS or LPS treatment (n.s. β€Š=β€Š non-significant; Two-way ANOVA followed by Bonferroni's post-hoc test). (F) Absolute cell numbers of thymocyte subsets at 72 hours post-LPS injection (n.s. β€Š=β€Š non-significant; Two-tailed unpaired Student's <i>t</i>-test). (D–F) Data show the mean +/βˆ’ SEM at least 4 independent experiments using at least 3 mice per treatment. (G–H) Data were calculated from the experiments shown in the panels D and E. Each bar shows the mean +/βˆ’ SEM. (G) Ratios of DP thymocyte numbers upon LPS treatment to the numbers of DP thymocytes upon PBS treatment (n.s. β€Š=β€Š non-significant; Two-tailed unpaired Student's <i>t</i>-test). (H) Average percentages of Annexin V<sup>+</sup> cells gated on DP thymocytes at 72 hours post-injection (PBS, white; LPS, black). (n.s. β€Š=β€Š non-significant; Two-way ANOVA followed by Bonferroni's post-hoc test). (I) Total thymic cellularity in the control and miR-181d KI mice at 48 hours upon Dex injection (60 Β΅g/mouse). (J) Average percentages (left) and absolute numbers (right) of thymocyte subsets following Dex treatment at 48 hours. (I–J) Bar graphs show the mean +/βˆ’ SEM from at least 4 mice per treatment (n.s. β€Š=β€Š non-significant; Two-tailed unpaired Student's <i>t</i>-test).</p

    MiR-181d transgenic mice.

    No full text
    <p>(A) Schematic shows the sequence homology between mature miR-181 family members. 5β€²-seed region is underlined. Base differences are shaded with gray. (B) MiR-181d expression in various tissues examined by Northern blotting. U6 probe was used as the endogenous control. (C) Cloning of the pri-miR-181d into the VA-hCD2 transgenic cassette. Stem-loop structure of pre-miR-181d is shown, in which mature miR-181d is highlighted in blue. (D) Relative miR-181d levels were determined by real-time quantitative PCR. Littermate control values were set to 1. Graph represents the mean fold changes +/βˆ’ SEM normalized to the U6 levels from 3 independent samples, performed in triplicates (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-tailed unpaired Student's <i>t</i>-test).</p

    MiR-181d over-expression reduces the number of DP thymocytes.

    No full text
    <p>(A) Total thymus cellularity in the control and miR-181d Tg mice. (B) Representative plots show CD4 by CD8 profiles of thymocytes in the control and miR-181d Tg mice, analyzed by FACS. (C) Average percentages of thymocyte subsets (DN, DP, CD4 SP, and CD8 SP) from the control and miR-181d Tg mice. (D) Absolute cell numbers of DP thymocytes. (E) Absolute cell numbers of CD4 SP (left) and CD8 SP (right) thymocytes. (A–E) Data are from WT (nβ€Š=β€Š18), Tg-8 (nβ€Š=β€Š25), and Tg-38 (nβ€Š=β€Š16) mice. (F) Total thymus cellularity of the OTII Tg and OTII/miR-181d Tg-38 mice. (G) Total thymocytes were stained for CD4 and CD8, and analyzed by FACS. (H) Average percentages of DP and CD4 SP thymocytes are shown. (I) Histogram shows the surface expression of TCR (TCR VΞ±2) gated on CD4<sup>+</sup>CD8<sup>βˆ’</sup> SP thymocytes from the OTII Tg (dark gray) and OTII/miR-181d Tg-38 mice (black line). (F–I) Data are from at least 2 mice per group. Each bar is the mean +/βˆ’ SEM (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-tailed unpaired Student's <i>t</i>-test). (J) Histograms show CD69 expression on CD4 SP and CD8 SP thymocytes from the WT (white), Tg-8 (light gray), and Tg-38 (dark gray) mice. (K) Relative MFI (Mean Fluorescence Intensity) levels of CD69 on SP thymocytes. (L) Ratio of the CD69<sup>+</sup>TCRΞ²<sup>high</sup> to CD69<sup>βˆ’</sup>TCRΞ²<sup>high</sup> thymocyte numbers shown for CD4 SP and CD8 SP thymocytes. (M) Average percentages of Annexin V<sup>+</sup> cells gated on DP thymocytes. (J-M) Data are of at least 3 mice per group. All bar graphs represent the mean +/βˆ’ SEM values (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; One-way ANOVA followed by Tukey's post-hoc test).</p

    MiR-181d over-expression elevates stress-induced thymic atrophy.

    No full text
    <p>(A) Representative plots show CD4 by CD8 profiles of total thymocytes from the control and miR-181d Tg mice at 72 hours after PBS or LPS (100 Β΅g/mouse) injections. (B–C) Graphs demonstrate the average percentages of DP thymocytes (B), and CD4 SP and CD8 SP thymocytes (C) at 72 hours post-injection (PBS, white; LPS, black). (B–C) Data are of the mean +/βˆ’ SEM from at least 4 independent experiments using at least 3 mice per injection (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-way ANOVA followed by Bonferroni's post-hoc test). (D–E) Data were calculated from the experiments shown in the panels A and B. Each bar shows the mean +/βˆ’ SEM. (D) Ratios of DP thymocyte numbers upon LPS treatment to the numbers of DP thymocytes upon PBS treatment (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; One-way ANOVA followed by Tukey's post-hoc test). (E) Average percentages of Annexin V<sup>+</sup> cells gated on DP thymocytes at 72 hours post-injection (PBS, white; LPS, black). (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-way ANOVA followed by Bonferroni's post-hoc test). (F) Total thymic cellularity in the control and miR-181d Tg-38 mice at 48 hours upon Dex injection (60 Β΅g/mouse). (G) Representative FACS plots show CD4 by CD8 profiles of thymocytes after 48 hours post-Dex injection. (H–I) Average percentages (H) and absolute numbers (I) of thymocyte subsets following Dex treatment at 48 hours. (F–I) Bar graphs show the mean +/βˆ’ SEM from at least 4 mice per treatment (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-tailed unpaired Student's <i>t</i>-test).</p

    Characterization of peripheral lymphocytes in miR-181d transgenic mice.

    No full text
    <p>(A) Total cellularity in the lymph nodes of the control and miR-181d Tg mice. (B) Representative FACS plots of CD4<sup>+</sup> and CD8<sup>+</sup> T cells in the lymph nodes. (C–D) Average percentages (C) and absolute numbers (D) of CD4<sup>+</sup> and CD8<sup>+</sup> T cells in the lymph nodes. (A–D) Data are of the mean +/βˆ’ SEM from the WT (nβ€Š=β€Š17), Tg-8 (nβ€Š=β€Š23), and Tg-38 (nβ€Š=β€Š14) mice (n.s. β€Š=β€Š non-significant, *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; One-way ANOVA followed by Tukey's post-hoc test). (E) CD4 and CD8 profiles of peripheral T cells from the lymph nodes of the OTII Tg and OTII/miR-181d Tg-38 mice. (F) Bar graph shows average percentages of CD4<sup>+</sup> T lymphocytes in the lymph nodes. (G) Surface expression of TCR (TCR VΞ±2) gated on CD4<sup>+</sup> T cells in the lymph nodes of the OTII Tg (dark gray) and OTII/miR-181d Tg-38 mice (black line). (E–G) Data are generated from at least 2 mice per group. Each bar represents the mean +/βˆ’ SEM values (*<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001; Two-tailed unpaired Student's <i>t</i>-test).</p
    corecore